Python For Finance.html

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| Copyright (c) Jupyter Development Team.
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|
| Distributed under the terms of the BSD 3-Clause License.
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| Copyright (c) Jupyter Development Team.
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| Copyright (c) Jupyter Development Team.
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/*-----------------------------------------------------------------------------
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/* Icons urls */

:root {
  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
  --jp-icon-bell: url(data:image/svg+xml;base64,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);
  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
  --jp-icon-bug: url(data:image/svg+xml;base64,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);
  --jp-icon-build: url(data:image/svg+xml;base64,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);
  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
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  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
  --jp-icon-react: url(data:image/svg+xml;base64,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);
  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
  --jp-icon-regex: url(data:image/svg+xml;base64,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);
  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
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  --jp-icon-toc: url(data:image/svg+xml;base64,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);
  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
  --jp-icon-users: url(data:image/svg+xml;base64,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);
  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
  --jp-icon-word: url(data:image/svg+xml;base64,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);
  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
}

/* Icon CSS class declarations */

.jp-AddAboveIcon {
  background-image: var(--jp-icon-add-above);
}

.jp-AddBelowIcon {
  background-image: var(--jp-icon-add-below);
}

.jp-AddIcon {
  background-image: var(--jp-icon-add);
}

.jp-BellIcon {
  background-image: var(--jp-icon-bell);
}

.jp-BugDotIcon {
  background-image: var(--jp-icon-bug-dot);
}

.jp-BugIcon {
  background-image: var(--jp-icon-bug);
}

.jp-BuildIcon {
  background-image: var(--jp-icon-build);
}

.jp-CaretDownEmptyIcon {
  background-image: var(--jp-icon-caret-down-empty);
}

.jp-CaretDownEmptyThinIcon {
  background-image: var(--jp-icon-caret-down-empty-thin);
}

.jp-CaretDownIcon {
  background-image: var(--jp-icon-caret-down);
}

.jp-CaretLeftIcon {
  background-image: var(--jp-icon-caret-left);
}

.jp-CaretRightIcon {
  background-image: var(--jp-icon-caret-right);
}

.jp-CaretUpEmptyThinIcon {
  background-image: var(--jp-icon-caret-up-empty-thin);
}

.jp-CaretUpIcon {
  background-image: var(--jp-icon-caret-up);
}

.jp-CaseSensitiveIcon {
  background-image: var(--jp-icon-case-sensitive);
}

.jp-CheckIcon {
  background-image: var(--jp-icon-check);
}

.jp-CircleEmptyIcon {
  background-image: var(--jp-icon-circle-empty);
}

.jp-CircleIcon {
  background-image: var(--jp-icon-circle);
}

.jp-ClearIcon {
  background-image: var(--jp-icon-clear);
}

.jp-CloseIcon {
  background-image: var(--jp-icon-close);
}

.jp-CodeCheckIcon {
  background-image: var(--jp-icon-code-check);
}

.jp-CodeIcon {
  background-image: var(--jp-icon-code);
}

.jp-CollapseAllIcon {
  background-image: var(--jp-icon-collapse-all);
}

.jp-ConsoleIcon {
  background-image: var(--jp-icon-console);
}

.jp-CopyIcon {
  background-image: var(--jp-icon-copy);
}

.jp-CopyrightIcon {
  background-image: var(--jp-icon-copyright);
}

.jp-CutIcon {
  background-image: var(--jp-icon-cut);
}

.jp-DeleteIcon {
  background-image: var(--jp-icon-delete);
}

.jp-DownloadIcon {
  background-image: var(--jp-icon-download);
}

.jp-DuplicateIcon {
  background-image: var(--jp-icon-duplicate);
}

.jp-EditIcon {
  background-image: var(--jp-icon-edit);
}

.jp-EllipsesIcon {
  background-image: var(--jp-icon-ellipses);
}

.jp-ErrorIcon {
  background-image: var(--jp-icon-error);
}

.jp-ExpandAllIcon {
  background-image: var(--jp-icon-expand-all);
}

.jp-ExtensionIcon {
  background-image: var(--jp-icon-extension);
}

.jp-FastForwardIcon {
  background-image: var(--jp-icon-fast-forward);
}

.jp-FileIcon {
  background-image: var(--jp-icon-file);
}

.jp-FileUploadIcon {
  background-image: var(--jp-icon-file-upload);
}

.jp-FilterDotIcon {
  background-image: var(--jp-icon-filter-dot);
}

.jp-FilterIcon {
  background-image: var(--jp-icon-filter);
}

.jp-FilterListIcon {
  background-image: var(--jp-icon-filter-list);
}

.jp-FolderFavoriteIcon {
  background-image: var(--jp-icon-folder-favorite);
}

.jp-FolderIcon {
  background-image: var(--jp-icon-folder);
}

.jp-HomeIcon {
  background-image: var(--jp-icon-home);
}

.jp-Html5Icon {
  background-image: var(--jp-icon-html5);
}

.jp-ImageIcon {
  background-image: var(--jp-icon-image);
}

.jp-InfoIcon {
  background-image: var(--jp-icon-info);
}

.jp-InspectorIcon {
  background-image: var(--jp-icon-inspector);
}

.jp-JsonIcon {
  background-image: var(--jp-icon-json);
}

.jp-JuliaIcon {
  background-image: var(--jp-icon-julia);
}

.jp-JupyterFaviconIcon {
  background-image: var(--jp-icon-jupyter-favicon);
}

.jp-JupyterIcon {
  background-image: var(--jp-icon-jupyter);
}

.jp-JupyterlabWordmarkIcon {
  background-image: var(--jp-icon-jupyterlab-wordmark);
}

.jp-KernelIcon {
  background-image: var(--jp-icon-kernel);
}

.jp-KeyboardIcon {
  background-image: var(--jp-icon-keyboard);
}

.jp-LaunchIcon {
  background-image: var(--jp-icon-launch);
}

.jp-LauncherIcon {
  background-image: var(--jp-icon-launcher);
}

.jp-LineFormIcon {
  background-image: var(--jp-icon-line-form);
}

.jp-LinkIcon {
  background-image: var(--jp-icon-link);
}

.jp-ListIcon {
  background-image: var(--jp-icon-list);
}

.jp-MarkdownIcon {
  background-image: var(--jp-icon-markdown);
}

.jp-MoveDownIcon {
  background-image: var(--jp-icon-move-down);
}

.jp-MoveUpIcon {
  background-image: var(--jp-icon-move-up);
}

.jp-NewFolderIcon {
  background-image: var(--jp-icon-new-folder);
}

.jp-NotTrustedIcon {
  background-image: var(--jp-icon-not-trusted);
}

.jp-NotebookIcon {
  background-image: var(--jp-icon-notebook);
}

.jp-NumberingIcon {
  background-image: var(--jp-icon-numbering);
}

.jp-OfflineBoltIcon {
  background-image: var(--jp-icon-offline-bolt);
}

.jp-PaletteIcon {
  background-image: var(--jp-icon-palette);
}

.jp-PasteIcon {
  background-image: var(--jp-icon-paste);
}

.jp-PdfIcon {
  background-image: var(--jp-icon-pdf);
}

.jp-PythonIcon {
  background-image: var(--jp-icon-python);
}

.jp-RKernelIcon {
  background-image: var(--jp-icon-r-kernel);
}

.jp-ReactIcon {
  background-image: var(--jp-icon-react);
}

.jp-RedoIcon {
  background-image: var(--jp-icon-redo);
}

.jp-RefreshIcon {
  background-image: var(--jp-icon-refresh);
}

.jp-RegexIcon {
  background-image: var(--jp-icon-regex);
}

.jp-RunIcon {
  background-image: var(--jp-icon-run);
}

.jp-RunningIcon {
  background-image: var(--jp-icon-running);
}

.jp-SaveIcon {
  background-image: var(--jp-icon-save);
}

.jp-SearchIcon {
  background-image: var(--jp-icon-search);
}

.jp-SettingsIcon {
  background-image: var(--jp-icon-settings);
}

.jp-ShareIcon {
  background-image: var(--jp-icon-share);
}

.jp-SpreadsheetIcon {
  background-image: var(--jp-icon-spreadsheet);
}

.jp-StopIcon {
  background-image: var(--jp-icon-stop);
}

.jp-TabIcon {
  background-image: var(--jp-icon-tab);
}

.jp-TableRowsIcon {
  background-image: var(--jp-icon-table-rows);
}

.jp-TagIcon {
  background-image: var(--jp-icon-tag);
}

.jp-TerminalIcon {
  background-image: var(--jp-icon-terminal);
}

.jp-TextEditorIcon {
  background-image: var(--jp-icon-text-editor);
}

.jp-TocIcon {
  background-image: var(--jp-icon-toc);
}

.jp-TreeViewIcon {
  background-image: var(--jp-icon-tree-view);
}

.jp-TrustedIcon {
  background-image: var(--jp-icon-trusted);
}

.jp-UndoIcon {
  background-image: var(--jp-icon-undo);
}

.jp-UserIcon {
  background-image: var(--jp-icon-user);
}

.jp-UsersIcon {
  background-image: var(--jp-icon-users);
}

.jp-VegaIcon {
  background-image: var(--jp-icon-vega);
}

.jp-WordIcon {
  background-image: var(--jp-icon-word);
}

.jp-YamlIcon {
  background-image: var(--jp-icon-yaml);
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/**
 * (DEPRECATED) Support for consuming icons as CSS background images
 */

.jp-Icon,
.jp-MaterialIcon {
  background-position: center;
  background-repeat: no-repeat;
  background-size: 16px;
  min-width: 16px;
  min-height: 16px;
}

.jp-Icon-cover {
  background-position: center;
  background-repeat: no-repeat;
  background-size: cover;
}

/**
 * (DEPRECATED) Support for specific CSS icon sizes
 */

.jp-Icon-16 {
  background-size: 16px;
  min-width: 16px;
  min-height: 16px;
}

.jp-Icon-18 {
  background-size: 18px;
  min-width: 18px;
  min-height: 18px;
}

.jp-Icon-20 {
  background-size: 20px;
  min-width: 20px;
  min-height: 20px;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.lm-TabBar .lm-TabBar-addButton {
  align-items: center;
  display: flex;
  padding: 4px;
  padding-bottom: 5px;
  margin-right: 1px;
  background-color: var(--jp-layout-color2);
}

.lm-TabBar .lm-TabBar-addButton:hover {
  background-color: var(--jp-layout-color1);
}

.lm-DockPanel-tabBar .lm-TabBar-tab {
  width: var(--jp-private-horizontal-tab-width);
}

.lm-DockPanel-tabBar .lm-TabBar-content {
  flex: unset;
}

.lm-DockPanel-tabBar[data-orientation='horizontal'] {
  flex: 1 1 auto;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/**
 * Support for icons as inline SVG HTMLElements
 */

/* recolor the primary elements of an icon */
.jp-icon0[fill] {
  fill: var(--jp-inverse-layout-color0);
}

.jp-icon1[fill] {
  fill: var(--jp-inverse-layout-color1);
}

.jp-icon2[fill] {
  fill: var(--jp-inverse-layout-color2);
}

.jp-icon3[fill] {
  fill: var(--jp-inverse-layout-color3);
}

.jp-icon4[fill] {
  fill: var(--jp-inverse-layout-color4);
}

.jp-icon0[stroke] {
  stroke: var(--jp-inverse-layout-color0);
}

.jp-icon1[stroke] {
  stroke: var(--jp-inverse-layout-color1);
}

.jp-icon2[stroke] {
  stroke: var(--jp-inverse-layout-color2);
}

.jp-icon3[stroke] {
  stroke: var(--jp-inverse-layout-color3);
}

.jp-icon4[stroke] {
  stroke: var(--jp-inverse-layout-color4);
}

/* recolor the accent elements of an icon */
.jp-icon-accent0[fill] {
  fill: var(--jp-layout-color0);
}

.jp-icon-accent1[fill] {
  fill: var(--jp-layout-color1);
}

.jp-icon-accent2[fill] {
  fill: var(--jp-layout-color2);
}

.jp-icon-accent3[fill] {
  fill: var(--jp-layout-color3);
}

.jp-icon-accent4[fill] {
  fill: var(--jp-layout-color4);
}

.jp-icon-accent0[stroke] {
  stroke: var(--jp-layout-color0);
}

.jp-icon-accent1[stroke] {
  stroke: var(--jp-layout-color1);
}

.jp-icon-accent2[stroke] {
  stroke: var(--jp-layout-color2);
}

.jp-icon-accent3[stroke] {
  stroke: var(--jp-layout-color3);
}

.jp-icon-accent4[stroke] {
  stroke: var(--jp-layout-color4);
}

/* set the color of an icon to transparent */
.jp-icon-none[fill] {
  fill: none;
}

.jp-icon-none[stroke] {
  stroke: none;
}

/* brand icon colors. Same for light and dark */
.jp-icon-brand0[fill] {
  fill: var(--jp-brand-color0);
}

.jp-icon-brand1[fill] {
  fill: var(--jp-brand-color1);
}

.jp-icon-brand2[fill] {
  fill: var(--jp-brand-color2);
}

.jp-icon-brand3[fill] {
  fill: var(--jp-brand-color3);
}

.jp-icon-brand4[fill] {
  fill: var(--jp-brand-color4);
}

.jp-icon-brand0[stroke] {
  stroke: var(--jp-brand-color0);
}

.jp-icon-brand1[stroke] {
  stroke: var(--jp-brand-color1);
}

.jp-icon-brand2[stroke] {
  stroke: var(--jp-brand-color2);
}

.jp-icon-brand3[stroke] {
  stroke: var(--jp-brand-color3);
}

.jp-icon-brand4[stroke] {
  stroke: var(--jp-brand-color4);
}

/* warn icon colors. Same for light and dark */
.jp-icon-warn0[fill] {
  fill: var(--jp-warn-color0);
}

.jp-icon-warn1[fill] {
  fill: var(--jp-warn-color1);
}

.jp-icon-warn2[fill] {
  fill: var(--jp-warn-color2);
}

.jp-icon-warn3[fill] {
  fill: var(--jp-warn-color3);
}

.jp-icon-warn0[stroke] {
  stroke: var(--jp-warn-color0);
}

.jp-icon-warn1[stroke] {
  stroke: var(--jp-warn-color1);
}

.jp-icon-warn2[stroke] {
  stroke: var(--jp-warn-color2);
}

.jp-icon-warn3[stroke] {
  stroke: var(--jp-warn-color3);
}

/* icon colors that contrast well with each other and most backgrounds */
.jp-icon-contrast0[fill] {
  fill: var(--jp-icon-contrast-color0);
}

.jp-icon-contrast1[fill] {
  fill: var(--jp-icon-contrast-color1);
}

.jp-icon-contrast2[fill] {
  fill: var(--jp-icon-contrast-color2);
}

.jp-icon-contrast3[fill] {
  fill: var(--jp-icon-contrast-color3);
}

.jp-icon-contrast0[stroke] {
  stroke: var(--jp-icon-contrast-color0);
}

.jp-icon-contrast1[stroke] {
  stroke: var(--jp-icon-contrast-color1);
}

.jp-icon-contrast2[stroke] {
  stroke: var(--jp-icon-contrast-color2);
}

.jp-icon-contrast3[stroke] {
  stroke: var(--jp-icon-contrast-color3);
}

.jp-icon-dot[fill] {
  fill: var(--jp-warn-color0);
}

.jp-jupyter-icon-color[fill] {
  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
}

.jp-notebook-icon-color[fill] {
  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
}

.jp-json-icon-color[fill] {
  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
}

.jp-console-icon-color[fill] {
  fill: var(--jp-console-icon-color, white);
}

.jp-console-icon-background-color[fill] {
  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
}

.jp-terminal-icon-color[fill] {
  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
}

.jp-terminal-icon-background-color[fill] {
  fill: var(
    --jp-terminal-icon-background-color,
    var(--jp-inverse-layout-color2)
  );
}

.jp-text-editor-icon-color[fill] {
  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
}

.jp-inspector-icon-color[fill] {
  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
}

/* CSS for icons in selected filebrowser listing items */
.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
  fill: #fff;
}

.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
  fill: var(--jp-brand-color1);
}

/* stylelint-disable selector-max-class, selector-max-compound-selectors */

/**
* TODO: come up with non css-hack solution for showing the busy icon on top
*  of the close icon
* CSS for complex behavior of close icon of tabs in the main area tabbar
*/
.lm-DockPanel-tabBar
  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
  > .lm-TabBar-tabCloseIcon
  > :not(:hover)
  > .jp-icon3[fill] {
  fill: none;
}

.lm-DockPanel-tabBar
  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
  > .lm-TabBar-tabCloseIcon
  > :not(:hover)
  > .jp-icon-busy[fill] {
  fill: var(--jp-inverse-layout-color3);
}

/* stylelint-enable selector-max-class, selector-max-compound-selectors */

/* CSS for icons in status bar */
#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
  fill: #fff;
}

#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
  fill: var(--jp-brand-color1);
}

/* special handling for splash icon CSS. While the theme CSS reloads during
   splash, the splash icon can loose theming. To prevent that, we set a
   default for its color variable */
:root {
  --jp-warn-color0: var(--md-orange-700);
}

/* not sure what to do with this one, used in filebrowser listing */
.jp-DragIcon {
  margin-right: 4px;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/**
 * Support for alt colors for icons as inline SVG HTMLElements
 */

/* alt recolor the primary elements of an icon */
.jp-icon-alt .jp-icon0[fill] {
  fill: var(--jp-layout-color0);
}

.jp-icon-alt .jp-icon1[fill] {
  fill: var(--jp-layout-color1);
}

.jp-icon-alt .jp-icon2[fill] {
  fill: var(--jp-layout-color2);
}

.jp-icon-alt .jp-icon3[fill] {
  fill: var(--jp-layout-color3);
}

.jp-icon-alt .jp-icon4[fill] {
  fill: var(--jp-layout-color4);
}

.jp-icon-alt .jp-icon0[stroke] {
  stroke: var(--jp-layout-color0);
}

.jp-icon-alt .jp-icon1[stroke] {
  stroke: var(--jp-layout-color1);
}

.jp-icon-alt .jp-icon2[stroke] {
  stroke: var(--jp-layout-color2);
}

.jp-icon-alt .jp-icon3[stroke] {
  stroke: var(--jp-layout-color3);
}

.jp-icon-alt .jp-icon4[stroke] {
  stroke: var(--jp-layout-color4);
}

/* alt recolor the accent elements of an icon */
.jp-icon-alt .jp-icon-accent0[fill] {
  fill: var(--jp-inverse-layout-color0);
}

.jp-icon-alt .jp-icon-accent1[fill] {
  fill: var(--jp-inverse-layout-color1);
}

.jp-icon-alt .jp-icon-accent2[fill] {
  fill: var(--jp-inverse-layout-color2);
}

.jp-icon-alt .jp-icon-accent3[fill] {
  fill: var(--jp-inverse-layout-color3);
}

.jp-icon-alt .jp-icon-accent4[fill] {
  fill: var(--jp-inverse-layout-color4);
}

.jp-icon-alt .jp-icon-accent0[stroke] {
  stroke: var(--jp-inverse-layout-color0);
}

.jp-icon-alt .jp-icon-accent1[stroke] {
  stroke: var(--jp-inverse-layout-color1);
}

.jp-icon-alt .jp-icon-accent2[stroke] {
  stroke: var(--jp-inverse-layout-color2);
}

.jp-icon-alt .jp-icon-accent3[stroke] {
  stroke: var(--jp-inverse-layout-color3);
}

.jp-icon-alt .jp-icon-accent4[stroke] {
  stroke: var(--jp-inverse-layout-color4);
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
  display: none !important;
}

/**
 * Support for hover colors for icons as inline SVG HTMLElements
 */

/**
 * regular colors
 */

/* recolor the primary elements of an icon */
.jp-icon-hover :hover .jp-icon0-hover[fill] {
  fill: var(--jp-inverse-layout-color0);
}

.jp-icon-hover :hover .jp-icon1-hover[fill] {
  fill: var(--jp-inverse-layout-color1);
}

.jp-icon-hover :hover .jp-icon2-hover[fill] {
  fill: var(--jp-inverse-layout-color2);
}

.jp-icon-hover :hover .jp-icon3-hover[fill] {
  fill: var(--jp-inverse-layout-color3);
}

.jp-icon-hover :hover .jp-icon4-hover[fill] {
  fill: var(--jp-inverse-layout-color4);
}

.jp-icon-hover :hover .jp-icon0-hover[stroke] {
  stroke: var(--jp-inverse-layout-color0);
}

.jp-icon-hover :hover .jp-icon1-hover[stroke] {
  stroke: var(--jp-inverse-layout-color1);
}

.jp-icon-hover :hover .jp-icon2-hover[stroke] {
  stroke: var(--jp-inverse-layout-color2);
}

.jp-icon-hover :hover .jp-icon3-hover[stroke] {
  stroke: var(--jp-inverse-layout-color3);
}

.jp-icon-hover :hover .jp-icon4-hover[stroke] {
  stroke: var(--jp-inverse-layout-color4);
}

/* recolor the accent elements of an icon */
.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
  fill: var(--jp-layout-color0);
}

.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
  fill: var(--jp-layout-color1);
}

.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
  fill: var(--jp-layout-color2);
}

.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
  fill: var(--jp-layout-color3);
}

.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
  fill: var(--jp-layout-color4);
}

.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
  stroke: var(--jp-layout-color0);
}

.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
  stroke: var(--jp-layout-color1);
}

.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
  stroke: var(--jp-layout-color2);
}

.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
  stroke: var(--jp-layout-color3);
}

.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
  stroke: var(--jp-layout-color4);
}

/* set the color of an icon to transparent */
.jp-icon-hover :hover .jp-icon-none-hover[fill] {
  fill: none;
}

.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
  stroke: none;
}

/**
 * inverse colors
 */

/* inverse recolor the primary elements of an icon */
.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
  fill: var(--jp-layout-color0);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
  fill: var(--jp-layout-color1);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
  fill: var(--jp-layout-color2);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
  fill: var(--jp-layout-color3);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
  fill: var(--jp-layout-color4);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
  stroke: var(--jp-layout-color0);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
  stroke: var(--jp-layout-color1);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
  stroke: var(--jp-layout-color2);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
  stroke: var(--jp-layout-color3);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
  stroke: var(--jp-layout-color4);
}

/* inverse recolor the accent elements of an icon */
.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
  fill: var(--jp-inverse-layout-color0);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
  fill: var(--jp-inverse-layout-color1);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
  fill: var(--jp-inverse-layout-color2);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
  fill: var(--jp-inverse-layout-color3);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
  fill: var(--jp-inverse-layout-color4);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
  stroke: var(--jp-inverse-layout-color0);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
  stroke: var(--jp-inverse-layout-color1);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
  stroke: var(--jp-inverse-layout-color2);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
  stroke: var(--jp-inverse-layout-color3);
}

.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
  stroke: var(--jp-inverse-layout-color4);
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-IFrame {
  width: 100%;
  height: 100%;
}

.jp-IFrame > iframe {
  border: none;
}

/*
When drag events occur, `lm-mod-override-cursor` is added to the body.
Because iframes steal all cursor events, the following two rules are necessary
to suppress pointer events while resize drags are occurring. There may be a
better solution to this problem.
*/
body.lm-mod-override-cursor .jp-IFrame {
  position: relative;
}

body.lm-mod-override-cursor .jp-IFrame::before {
  content: '';
  position: absolute;
  top: 0;
  left: 0;
  right: 0;
  bottom: 0;
  background: transparent;
}

/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2016, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-HoverBox {
  position: fixed;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-FormGroup-content fieldset {
  border: none;
  padding: 0;
  min-width: 0;
  width: 100%;
}

/* stylelint-disable selector-max-type */

.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
  font-size: var(--jp-content-font-size2);
  border-color: var(--jp-input-border-color);
  border-style: solid;
  border-radius: var(--jp-border-radius);
  border-width: 1px;
  padding: 6px 8px;
  background: none;
  color: var(--jp-ui-font-color0);
  height: inherit;
}

.jp-FormGroup-content fieldset input[type='checkbox'] {
  position: relative;
  top: 2px;
  margin-left: 0;
}

.jp-FormGroup-content button.jp-mod-styled {
  cursor: pointer;
}

.jp-FormGroup-content .checkbox label {
  cursor: pointer;
  font-size: var(--jp-content-font-size1);
}

.jp-FormGroup-content .jp-root > fieldset > legend {
  display: none;
}

.jp-FormGroup-content .jp-root > fieldset > p {
  display: none;
}

/** copy of `input.jp-mod-styled:focus` style */
.jp-FormGroup-content fieldset input:focus,
.jp-FormGroup-content fieldset select:focus {
  -moz-outline-radius: unset;
  outline: var(--jp-border-width) solid var(--md-blue-500);
  outline-offset: -1px;
  box-shadow: inset 0 0 4px var(--md-blue-300);
}

.jp-FormGroup-content fieldset input:hover:not(:focus),
.jp-FormGroup-content fieldset select:hover:not(:focus) {
  background-color: var(--jp-border-color2);
}

/* stylelint-enable selector-max-type */

.jp-FormGroup-content .checkbox .field-description {
  /* Disable default description field for checkbox:
   because other widgets do not have description fields,
   we add descriptions to each widget on the field level.
  */
  display: none;
}

.jp-FormGroup-content #root__description {
  display: none;
}

.jp-FormGroup-content .jp-modifiedIndicator {
  width: 5px;
  background-color: var(--jp-brand-color2);
  margin-top: 0;
  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
  flex-shrink: 0;
}

.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
  background-color: var(--jp-error-color0);
  margin-right: 0.5em;
}

/* RJSF ARRAY style */

.jp-arrayFieldWrapper legend {
  font-size: var(--jp-content-font-size2);
  color: var(--jp-ui-font-color0);
  flex-basis: 100%;
  padding: 4px 0;
  font-weight: var(--jp-content-heading-font-weight);
  border-bottom: 1px solid var(--jp-border-color2);
}

.jp-arrayFieldWrapper .field-description {
  padding: 4px 0;
  white-space: pre-wrap;
}

.jp-arrayFieldWrapper .array-item {
  width: 100%;
  border: 1px solid var(--jp-border-color2);
  border-radius: 4px;
  margin: 4px;
}

.jp-ArrayOperations {
  display: flex;
  margin-left: 8px;
}

.jp-ArrayOperationsButton {
  margin: 2px;
}

.jp-ArrayOperationsButton .jp-icon3[fill] {
  fill: var(--jp-ui-font-color0);
}

button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
  cursor: not-allowed;
  opacity: 0.5;
}

/* RJSF form validation error */

.jp-FormGroup-content .validationErrors {
  color: var(--jp-error-color0);
}

/* Hide panel level error as duplicated the field level error */
.jp-FormGroup-content .panel.errors {
  display: none;
}

/* RJSF normal content (settings-editor) */

.jp-FormGroup-contentNormal {
  display: flex;
  align-items: center;
  flex-wrap: wrap;
}

.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
  margin-left: 7px;
  color: var(--jp-ui-font-color0);
}

.jp-FormGroup-contentNormal .jp-FormGroup-description {
  flex-basis: 100%;
  padding: 4px 7px;
}

.jp-FormGroup-contentNormal .jp-FormGroup-default {
  flex-basis: 100%;
  padding: 4px 7px;
}

.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
  font-size: var(--jp-content-font-size1);
  font-weight: normal;
  min-width: 120px;
}

.jp-FormGroup-contentNormal fieldset:not(:first-child) {
  margin-left: 7px;
}

.jp-FormGroup-contentNormal .field-array-of-string .array-item {
  /* Display `jp-ArrayOperations` buttons side-by-side with content except
    for small screens where flex-wrap will place them one below the other.
  */
  display: flex;
  align-items: center;
  flex-wrap: wrap;
}

.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
  margin-top: 2px;
}

/* RJSF compact content (metadata-form) */

.jp-FormGroup-content.jp-FormGroup-contentCompact {
  width: 100%;
}

.jp-FormGroup-contentCompact .form-group {
  display: flex;
  padding: 0.5em 0.2em 0.5em 0;
}

.jp-FormGroup-contentCompact
  .jp-FormGroup-compactTitle
  .jp-FormGroup-description {
  font-size: var(--jp-ui-font-size1);
  color: var(--jp-ui-font-color2);
}

.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
  padding-bottom: 0.3em;
}

.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
  width: 100%;
  box-sizing: border-box;
}

.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
  padding-bottom: 7px;
}

.jp-FormGroup-contentCompact
  .jp-objectFieldWrapper
  .jp-objectFieldWrapper
  .form-group {
  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
  margin-top: 2px;
}

.jp-FormGroup-contentCompact ul.error-detail {
  margin-block-start: 0.5em;
  margin-block-end: 0.5em;
  padding-inline-start: 1em;
}

/*
 * Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

.jp-SidePanel {
  display: flex;
  flex-direction: column;
  min-width: var(--jp-sidebar-min-width);
  overflow-y: auto;
  color: var(--jp-ui-font-color1);
  background: var(--jp-layout-color1);
  font-size: var(--jp-ui-font-size1);
}

.jp-SidePanel-header {
  flex: 0 0 auto;
  display: flex;
  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
  font-size: var(--jp-ui-font-size0);
  font-weight: 600;
  letter-spacing: 1px;
  margin: 0;
  padding: 2px;
  text-transform: uppercase;
}

.jp-SidePanel-toolbar {
  flex: 0 0 auto;
}

.jp-SidePanel-content {
  flex: 1 1 auto;
}

.jp-SidePanel-toolbar,
.jp-AccordionPanel-toolbar {
  height: var(--jp-private-toolbar-height);
}

.jp-SidePanel-toolbar.jp-Toolbar-micro {
  display: none;
}

.lm-AccordionPanel .jp-AccordionPanel-title {
  box-sizing: border-box;
  line-height: 25px;
  margin: 0;
  display: flex;
  align-items: center;
  background: var(--jp-layout-color1);
  color: var(--jp-ui-font-color1);
  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
  box-shadow: var(--jp-toolbar-box-shadow);
  font-size: var(--jp-ui-font-size0);
}

.jp-AccordionPanel-title {
  cursor: pointer;
  user-select: none;
  -moz-user-select: none;
  -webkit-user-select: none;
  text-transform: uppercase;
}

.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
  /* Title is rotated for horizontal accordion panel using CSS */
  display: block;
  transform-origin: top left;
  transform: rotate(-90deg) translate(-100%);
}

.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
  user-select: none;
  text-overflow: ellipsis;
  white-space: nowrap;
  overflow: hidden;
}

.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
  transform: rotate(-90deg);
  margin: auto 0;
  height: 16px;
}

.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
  transform: rotate(0deg);
}

.lm-AccordionPanel .jp-AccordionPanel-toolbar {
  background: none;
  box-shadow: none;
  border: none;
  margin-left: auto;
}

.lm-AccordionPanel .lm-SplitPanel-handle:hover {
  background: var(--jp-layout-color3);
}

.jp-text-truncated {
  overflow: hidden;
  text-overflow: ellipsis;
  white-space: nowrap;
}

/*-----------------------------------------------------------------------------
| Copyright (c) 2017, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-Spinner {
  position: absolute;
  display: flex;
  justify-content: center;
  align-items: center;
  z-index: 10;
  left: 0;
  top: 0;
  width: 100%;
  height: 100%;
  background: var(--jp-layout-color0);
  outline: none;
}

.jp-SpinnerContent {
  font-size: 10px;
  margin: 50px auto;
  text-indent: -9999em;
  width: 3em;
  height: 3em;
  border-radius: 50%;
  background: var(--jp-brand-color3);
  background: linear-gradient(
    to right,
    #f37626 10%,
    rgba(255, 255, 255, 0) 42%
  );
  position: relative;
  animation: load3 1s infinite linear, fadeIn 1s;
}

.jp-SpinnerContent::before {
  width: 50%;
  height: 50%;
  background: #f37626;
  border-radius: 100% 0 0;
  position: absolute;
  top: 0;
  left: 0;
  content: '';
}

.jp-SpinnerContent::after {
  background: var(--jp-layout-color0);
  width: 75%;
  height: 75%;
  border-radius: 50%;
  content: '';
  margin: auto;
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  right: 0;
}

@keyframes fadeIn {
  0% {
    opacity: 0;
  }

  100% {
    opacity: 1;
  }
}

@keyframes load3 {
  0% {
    transform: rotate(0deg);
  }

  100% {
    transform: rotate(360deg);
  }
}

/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2017, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

button.jp-mod-styled {
  font-size: var(--jp-ui-font-size1);
  color: var(--jp-ui-font-color0);
  border: none;
  box-sizing: border-box;
  text-align: center;
  line-height: 32px;
  height: 32px;
  padding: 0 12px;
  letter-spacing: 0.8px;
  outline: none;
  appearance: none;
  -webkit-appearance: none;
  -moz-appearance: none;
}

input.jp-mod-styled {
  background: var(--jp-input-background);
  height: 28px;
  box-sizing: border-box;
  border: var(--jp-border-width) solid var(--jp-border-color1);
  padding-left: 7px;
  padding-right: 7px;
  font-size: var(--jp-ui-font-size2);
  color: var(--jp-ui-font-color0);
  outline: none;
  appearance: none;
  -webkit-appearance: none;
  -moz-appearance: none;
}

input[type='checkbox'].jp-mod-styled {
  appearance: checkbox;
  -webkit-appearance: checkbox;
  -moz-appearance: checkbox;
  height: auto;
}

input.jp-mod-styled:focus {
  border: var(--jp-border-width) solid var(--md-blue-500);
  box-shadow: inset 0 0 4px var(--md-blue-300);
}

.jp-select-wrapper {
  display: flex;
  position: relative;
  flex-direction: column;
  padding: 1px;
  background-color: var(--jp-layout-color1);
  box-sizing: border-box;
  margin-bottom: 12px;
}

.jp-select-wrapper:not(.multiple) {
  height: 28px;
}

.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
  box-shadow: var(--jp-input-box-shadow);
  background-color: var(--jp-input-active-background);
}

select.jp-mod-styled:hover {
  cursor: pointer;
  color: var(--jp-ui-font-color0);
  background-color: var(--jp-input-hover-background);
  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
}

select.jp-mod-styled {
  flex: 1 1 auto;
  width: 100%;
  font-size: var(--jp-ui-font-size2);
  background: var(--jp-input-background);
  color: var(--jp-ui-font-color0);
  padding: 0 25px 0 8px;
  border: var(--jp-border-width) solid var(--jp-input-border-color);
  border-radius: 0;
  outline: none;
  appearance: none;
  -webkit-appearance: none;
  -moz-appearance: none;
}

select.jp-mod-styled:not([multiple]) {
  height: 32px;
}

select.jp-mod-styled[multiple] {
  max-height: 200px;
  overflow-y: auto;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-switch {
  display: flex;
  align-items: center;
  padding-left: 4px;
  padding-right: 4px;
  font-size: var(--jp-ui-font-size1);
  background-color: transparent;
  color: var(--jp-ui-font-color1);
  border: none;
  height: 20px;
}

.jp-switch:hover {
  background-color: var(--jp-layout-color2);
}

.jp-switch-label {
  margin-right: 5px;
  font-family: var(--jp-ui-font-family);
}

.jp-switch-track {
  cursor: pointer;
  background-color: var(--jp-switch-color, var(--jp-border-color1));
  -webkit-transition: 0.4s;
  transition: 0.4s;
  border-radius: 34px;
  height: 16px;
  width: 35px;
  position: relative;
}

.jp-switch-track::before {
  content: '';
  position: absolute;
  height: 10px;
  width: 10px;
  margin: 3px;
  left: 0;
  background-color: var(--jp-ui-inverse-font-color1);
  -webkit-transition: 0.4s;
  transition: 0.4s;
  border-radius: 50%;
}

.jp-switch[aria-checked='true'] .jp-switch-track {
  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
}

.jp-switch[aria-checked='true'] .jp-switch-track::before {
  /* track width (35) - margins (3 + 3) - thumb width (10) */
  left: 19px;
}

/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2016, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

:root {
  --jp-private-toolbar-height: calc(
    28px + var(--jp-border-width)
  ); /* leave 28px for content */
}

.jp-Toolbar {
  color: var(--jp-ui-font-color1);
  flex: 0 0 auto;
  display: flex;
  flex-direction: row;
  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
  box-shadow: var(--jp-toolbar-box-shadow);
  background: var(--jp-toolbar-background);
  min-height: var(--jp-toolbar-micro-height);
  padding: 2px;
  z-index: 8;
  overflow-x: hidden;
}

/* Toolbar items */

.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
  flex-grow: 1;
  flex-shrink: 1;
}

.jp-Toolbar-item.jp-Toolbar-kernelStatus {
  display: inline-block;
  width: 32px;
  background-repeat: no-repeat;
  background-position: center;
  background-size: 16px;
}

.jp-Toolbar > .jp-Toolbar-item {
  flex: 0 0 auto;
  display: flex;
  padding-left: 1px;
  padding-right: 1px;
  font-size: var(--jp-ui-font-size1);
  line-height: var(--jp-private-toolbar-height);
  height: 100%;
}

/* Toolbar buttons */

/* This is the div we use to wrap the react component into a Widget */
div.jp-ToolbarButton {
  color: transparent;
  border: none;
  box-sizing: border-box;
  outline: none;
  appearance: none;
  -webkit-appearance: none;
  -moz-appearance: none;
  padding: 0;
  margin: 0;
}

button.jp-ToolbarButtonComponent {
  background: var(--jp-layout-color1);
  border: none;
  box-sizing: border-box;
  outline: none;
  appearance: none;
  -webkit-appearance: none;
  -moz-appearance: none;
  padding: 0 6px;
  margin: 0;
  height: 24px;
  border-radius: var(--jp-border-radius);
  display: flex;
  align-items: center;
  text-align: center;
  font-size: 14px;
  min-width: unset;
  min-height: unset;
}

button.jp-ToolbarButtonComponent:disabled {
  opacity: 0.4;
}

button.jp-ToolbarButtonComponent > span {
  padding: 0;
  flex: 0 0 auto;
}

button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
  font-size: var(--jp-ui-font-size1);
  line-height: 100%;
  padding-left: 2px;
  color: var(--jp-ui-font-color1);
  font-family: var(--jp-ui-font-family);
}

#jp-main-dock-panel[data-mode='single-document']
  .jp-MainAreaWidget
  > .jp-Toolbar.jp-Toolbar-micro {
  padding: 0;
  min-height: 0;
}

#jp-main-dock-panel[data-mode='single-document']
  .jp-MainAreaWidget
  > .jp-Toolbar {
  border: none;
  box-shadow: none;
}

/*
 * Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

.jp-WindowedPanel-outer {
  position: relative;
  overflow-y: auto;
}

.jp-WindowedPanel-inner {
  position: relative;
}

.jp-WindowedPanel-window {
  position: absolute;
  left: 0;
  right: 0;
  overflow: visible;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/* Sibling imports */

body {
  color: var(--jp-ui-font-color1);
  font-size: var(--jp-ui-font-size1);
}

/* Disable native link decoration styles everywhere outside of dialog boxes */
a {
  text-decoration: unset;
  color: unset;
}

a:hover {
  text-decoration: unset;
  color: unset;
}

/* Accessibility for links inside dialog box text */
.jp-Dialog-content a {
  text-decoration: revert;
  color: var(--jp-content-link-color);
}

.jp-Dialog-content a:hover {
  text-decoration: revert;
}

/* Styles for ui-components */
.jp-Button {
  color: var(--jp-ui-font-color2);
  border-radius: var(--jp-border-radius);
  padding: 0 12px;
  font-size: var(--jp-ui-font-size1);

  /* Copy from blueprint 3 */
  display: inline-flex;
  flex-direction: row;
  border: none;
  cursor: pointer;
  align-items: center;
  justify-content: center;
  text-align: left;
  vertical-align: middle;
  min-height: 30px;
  min-width: 30px;
}

.jp-Button:disabled {
  cursor: not-allowed;
}

.jp-Button:empty {
  padding: 0 !important;
}

.jp-Button.jp-mod-small {
  min-height: 24px;
  min-width: 24px;
  font-size: 12px;
  padding: 0 7px;
}

/* Use our own theme for hover styles */
.jp-Button.jp-mod-minimal:hover {
  background-color: var(--jp-layout-color2);
}

.jp-Button.jp-mod-minimal {
  background: none;
}

.jp-InputGroup {
  display: block;
  position: relative;
}

.jp-InputGroup input {
  box-sizing: border-box;
  border: none;
  border-radius: 0;
  background-color: transparent;
  color: var(--jp-ui-font-color0);
  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
  padding-bottom: 0;
  padding-top: 0;
  padding-left: 10px;
  padding-right: 28px;
  position: relative;
  width: 100%;
  -webkit-appearance: none;
  -moz-appearance: none;
  appearance: none;
  font-size: 14px;
  font-weight: 400;
  height: 30px;
  line-height: 30px;
  outline: none;
  vertical-align: middle;
}

.jp-InputGroup input:focus {
  box-shadow: inset 0 0 0 var(--jp-border-width)
      var(--jp-input-active-box-shadow-color),
    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
}

.jp-InputGroup input:disabled {
  cursor: not-allowed;
  resize: block;
  background-color: var(--jp-layout-color2);
  color: var(--jp-ui-font-color2);
}

.jp-InputGroup input:disabled ~ span {
  cursor: not-allowed;
  color: var(--jp-ui-font-color2);
}

.jp-InputGroup input::placeholder,
input::placeholder {
  color: var(--jp-ui-font-color2);
}

.jp-InputGroupAction {
  position: absolute;
  bottom: 1px;
  right: 0;
  padding: 6px;
}

.jp-HTMLSelect.jp-DefaultStyle select {
  background-color: initial;
  border: none;
  border-radius: 0;
  box-shadow: none;
  color: var(--jp-ui-font-color0);
  display: block;
  font-size: var(--jp-ui-font-size1);
  font-family: var(--jp-ui-font-family);
  height: 24px;
  line-height: 14px;
  padding: 0 25px 0 10px;
  text-align: left;
  -moz-appearance: none;
  -webkit-appearance: none;
}

.jp-HTMLSelect.jp-DefaultStyle select:disabled {
  background-color: var(--jp-layout-color2);
  color: var(--jp-ui-font-color2);
  cursor: not-allowed;
  resize: block;
}

.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
  cursor: not-allowed;
}

/* Use our own theme for hover and option styles */
/* stylelint-disable-next-line selector-max-type */
.jp-HTMLSelect.jp-DefaultStyle select:hover,
.jp-HTMLSelect.jp-DefaultStyle select > option {
  background-color: var(--jp-layout-color2);
  color: var(--jp-ui-font-color0);
}

select {
  box-sizing: border-box;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Styles
|----------------------------------------------------------------------------*/

.jp-StatusBar-Widget {
  display: flex;
  align-items: center;
  background: var(--jp-layout-color2);
  min-height: var(--jp-statusbar-height);
  justify-content: space-between;
  padding: 0 10px;
}

.jp-StatusBar-Left {
  display: flex;
  align-items: center;
  flex-direction: row;
}

.jp-StatusBar-Middle {
  display: flex;
  align-items: center;
}

.jp-StatusBar-Right {
  display: flex;
  align-items: center;
  flex-direction: row-reverse;
}

.jp-StatusBar-Item {
  max-height: var(--jp-statusbar-height);
  margin: 0 2px;
  height: var(--jp-statusbar-height);
  white-space: nowrap;
  text-overflow: ellipsis;
  color: var(--jp-ui-font-color1);
  padding: 0 6px;
}

.jp-mod-highlighted:hover {
  background-color: var(--jp-layout-color3);
}

.jp-mod-clicked {
  background-color: var(--jp-brand-color1);
}

.jp-mod-clicked:hover {
  background-color: var(--jp-brand-color0);
}

.jp-mod-clicked .jp-StatusBar-TextItem {
  color: var(--jp-ui-inverse-font-color1);
}

.jp-StatusBar-HoverItem {
  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
}

.jp-StatusBar-TextItem {
  font-size: var(--jp-ui-font-size1);
  font-family: var(--jp-ui-font-family);
  line-height: 24px;
  color: var(--jp-ui-font-color1);
}

.jp-StatusBar-GroupItem {
  display: flex;
  align-items: center;
  flex-direction: row;
}

.jp-Statusbar-ProgressCircle svg {
  display: block;
  margin: 0 auto;
  width: 16px;
  height: 24px;
  align-self: normal;
}

.jp-Statusbar-ProgressCircle path {
  fill: var(--jp-inverse-layout-color3);
}

.jp-Statusbar-ProgressBar-progress-bar {
  height: 10px;
  width: 100px;
  border: solid 0.25px var(--jp-brand-color2);
  border-radius: 3px;
  overflow: hidden;
  align-self: center;
}

.jp-Statusbar-ProgressBar-progress-bar > div {
  background-color: var(--jp-brand-color2);
  background-image: linear-gradient(
    -45deg,
    rgba(255, 255, 255, 0.2) 25%,
    transparent 25%,
    transparent 50%,
    rgba(255, 255, 255, 0.2) 50%,
    rgba(255, 255, 255, 0.2) 75%,
    transparent 75%,
    transparent
  );
  background-size: 40px 40px;
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 14px;
  color: #fff;
  text-align: center;
  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
}

.jp-Statusbar-ProgressBar-progress-bar p {
  color: var(--jp-ui-font-color1);
  font-family: var(--jp-ui-font-family);
  font-size: var(--jp-ui-font-size1);
  line-height: 10px;
  width: 100px;
}

@keyframes jp-Statusbar-ExecutionTime-progress-bar {
  0% {
    background-position: 0 0;
  }

  100% {
    background-position: 40px 40px;
  }
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Variables
|----------------------------------------------------------------------------*/

:root {
  --jp-private-commandpalette-search-height: 28px;
}

/*-----------------------------------------------------------------------------
| Overall styles
|----------------------------------------------------------------------------*/

.lm-CommandPalette {
  padding-bottom: 0;
  color: var(--jp-ui-font-color1);
  background: var(--jp-layout-color1);

  /* This is needed so that all font sizing of children done in ems is
   * relative to this base size */
  font-size: var(--jp-ui-font-size1);
}

/*-----------------------------------------------------------------------------
| Modal variant
|----------------------------------------------------------------------------*/

.jp-ModalCommandPalette {
  position: absolute;
  z-index: 10000;
  top: 38px;
  left: 30%;
  margin: 0;
  padding: 4px;
  width: 40%;
  box-shadow: var(--jp-elevation-z4);
  border-radius: 4px;
  background: var(--jp-layout-color0);
}

.jp-ModalCommandPalette .lm-CommandPalette {
  max-height: 40vh;
}

.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
  display: none;
}

.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
  display: none;
}

.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
  margin-left: 4px;
  margin-right: 4px;
}

.jp-ModalCommandPalette
  .lm-CommandPalette
  .lm-CommandPalette-item.lm-mod-disabled {
  display: none;
}

/*-----------------------------------------------------------------------------
| Search
|----------------------------------------------------------------------------*/

.lm-CommandPalette-search {
  padding: 4px;
  background-color: var(--jp-layout-color1);
  z-index: 2;
}

.lm-CommandPalette-wrapper {
  overflow: overlay;
  padding: 0 9px;
  background-color: var(--jp-input-active-background);
  height: 30px;
  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
}

.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
}

.jp-SearchIconGroup {
  color: white;
  background-color: var(--jp-brand-color1);
  position: absolute;
  top: 4px;
  right: 4px;
  padding: 5px 5px 1px;
}

.jp-SearchIconGroup svg {
  height: 20px;
  width: 20px;
}

.jp-SearchIconGroup .jp-icon3[fill] {
  fill: var(--jp-layout-color0);
}

.lm-CommandPalette-input {
  background: transparent;
  width: calc(100% - 18px);
  float: left;
  border: none;
  outline: none;
  font-size: var(--jp-ui-font-size1);
  color: var(--jp-ui-font-color0);
  line-height: var(--jp-private-commandpalette-search-height);
}

.lm-CommandPalette-input::-webkit-input-placeholder,
.lm-CommandPalette-input::-moz-placeholder,
.lm-CommandPalette-input:-ms-input-placeholder {
  color: var(--jp-ui-font-color2);
  font-size: var(--jp-ui-font-size1);
}

/*-----------------------------------------------------------------------------
| Results
|----------------------------------------------------------------------------*/

.lm-CommandPalette-header:first-child {
  margin-top: 0;
}

.lm-CommandPalette-header {
  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
  color: var(--jp-ui-font-color1);
  cursor: pointer;
  display: flex;
  font-size: var(--jp-ui-font-size0);
  font-weight: 600;
  letter-spacing: 1px;
  margin-top: 8px;
  padding: 8px 0 8px 12px;
  text-transform: uppercase;
}

.lm-CommandPalette-header.lm-mod-active {
  background: var(--jp-layout-color2);
}

.lm-CommandPalette-header > mark {
  background-color: transparent;
  font-weight: bold;
  color: var(--jp-ui-font-color1);
}

.lm-CommandPalette-item {
  padding: 4px 12px 4px 4px;
  color: var(--jp-ui-font-color1);
  font-size: var(--jp-ui-font-size1);
  font-weight: 400;
  display: flex;
}

.lm-CommandPalette-item.lm-mod-disabled {
  color: var(--jp-ui-font-color2);
}

.lm-CommandPalette-item.lm-mod-active {
  color: var(--jp-ui-inverse-font-color1);
  background: var(--jp-brand-color1);
}

.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
  color: var(--jp-ui-inverse-font-color0);
}

.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
  fill: var(--jp-layout-color0);
}

.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
  color: var(--jp-ui-inverse-font-color1);
  background: var(--jp-brand-color1);
}

.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
  background: var(--jp-layout-color2);
}

.lm-CommandPalette-itemContent {
  overflow: hidden;
}

.lm-CommandPalette-itemLabel > mark {
  color: var(--jp-ui-font-color0);
  background-color: transparent;
  font-weight: bold;
}

.lm-CommandPalette-item.lm-mod-disabled mark {
  color: var(--jp-ui-font-color2);
}

.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
  margin: 0 4px 0 0;
  position: relative;
  width: 16px;
  top: 2px;
  flex: 0 0 auto;
}

.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
  opacity: 0.6;
}

.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
  flex: 0 0 auto;
}

.lm-CommandPalette-itemCaption {
  display: none;
}

.lm-CommandPalette-content {
  background-color: var(--jp-layout-color1);
}

.lm-CommandPalette-content:empty::after {
  content: 'No results';
  margin: auto;
  margin-top: 20px;
  width: 100px;
  display: block;
  font-size: var(--jp-ui-font-size2);
  font-family: var(--jp-ui-font-family);
  font-weight: lighter;
}

.lm-CommandPalette-emptyMessage {
  text-align: center;
  margin-top: 24px;
  line-height: 1.32;
  padding: 0 8px;
  color: var(--jp-content-font-color3);
}

/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2017, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-Dialog {
  position: absolute;
  z-index: 10000;
  display: flex;
  flex-direction: column;
  align-items: center;
  justify-content: center;
  top: 0;
  left: 0;
  margin: 0;
  padding: 0;
  width: 100%;
  height: 100%;
  background: var(--jp-dialog-background);
}

.jp-Dialog-content {
  display: flex;
  flex-direction: column;
  margin-left: auto;
  margin-right: auto;
  background: var(--jp-layout-color1);
  padding: 24px 24px 12px;
  min-width: 300px;
  min-height: 150px;
  max-width: 1000px;
  max-height: 500px;
  box-sizing: border-box;
  box-shadow: var(--jp-elevation-z20);
  word-wrap: break-word;
  border-radius: var(--jp-border-radius);

  /* This is needed so that all font sizing of children done in ems is
   * relative to this base size */
  font-size: var(--jp-ui-font-size1);
  color: var(--jp-ui-font-color1);
  resize: both;
}

.jp-Dialog-content.jp-Dialog-content-small {
  max-width: 500px;
}

.jp-Dialog-button {
  overflow: visible;
}

button.jp-Dialog-button:focus {
  outline: 1px solid var(--jp-brand-color1);
  outline-offset: 4px;
  -moz-outline-radius: 0;
}

button.jp-Dialog-button:focus::-moz-focus-inner {
  border: 0;
}

button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
  outline-offset: 4px;
  -moz-outline-radius: 0;
}

button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
}

button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
}

button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
}

button.jp-Dialog-close-button {
  padding: 0;
  height: 100%;
  min-width: unset;
  min-height: unset;
}

.jp-Dialog-header {
  display: flex;
  justify-content: space-between;
  flex: 0 0 auto;
  padding-bottom: 12px;
  font-size: var(--jp-ui-font-size3);
  font-weight: 400;
  color: var(--jp-ui-font-color1);
}

.jp-Dialog-body {
  display: flex;
  flex-direction: column;
  flex: 1 1 auto;
  font-size: var(--jp-ui-font-size1);
  background: var(--jp-layout-color1);
  color: var(--jp-ui-font-color1);
  overflow: auto;
}

.jp-Dialog-footer {
  display: flex;
  flex-direction: row;
  justify-content: flex-end;
  align-items: center;
  flex: 0 0 auto;
  margin-left: -12px;
  margin-right: -12px;
  padding: 12px;
}

.jp-Dialog-checkbox {
  padding-right: 5px;
}

.jp-Dialog-checkbox > input:focus-visible {
  outline: 1px solid var(--jp-input-active-border-color);
  outline-offset: 1px;
}

.jp-Dialog-spacer {
  flex: 1 1 auto;
}

.jp-Dialog-title {
  overflow: hidden;
  white-space: nowrap;
  text-overflow: ellipsis;
}

.jp-Dialog-body > .jp-select-wrapper {
  width: 100%;
}

.jp-Dialog-body > button {
  padding: 0 16px;
}

.jp-Dialog-body > label {
  line-height: 1.4;
  color: var(--jp-ui-font-color0);
}

.jp-Dialog-button.jp-mod-styled:not(:last-child) {
  margin-right: 12px;
}

/*
 * Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

.jp-Input-Boolean-Dialog {
  flex-direction: row-reverse;
  align-items: end;
  width: 100%;
}

.jp-Input-Boolean-Dialog > label {
  flex: 1 1 auto;
}

/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2016, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-MainAreaWidget > :focus {
  outline: none;
}

.jp-MainAreaWidget .jp-MainAreaWidget-error {
  padding: 6px;
}

.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
  width: auto;
  padding: 10px;
  background: var(--jp-error-color3);
  border: var(--jp-border-width) solid var(--jp-error-color1);
  border-radius: var(--jp-border-radius);
  color: var(--jp-ui-font-color1);
  font-size: var(--jp-ui-font-size1);
  white-space: pre-wrap;
  word-wrap: break-word;
}

/*
 * Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

/**
 * google-material-color v1.2.6
 * https://github.com/danlevan/google-material-color
 */
:root {
  --md-red-50: #ffebee;
  --md-red-100: #ffcdd2;
  --md-red-200: #ef9a9a;
  --md-red-300: #e57373;
  --md-red-400: #ef5350;
  --md-red-500: #f44336;
  --md-red-600: #e53935;
  --md-red-700: #d32f2f;
  --md-red-800: #c62828;
  --md-red-900: #b71c1c;
  --md-red-A100: #ff8a80;
  --md-red-A200: #ff5252;
  --md-red-A400: #ff1744;
  --md-red-A700: #d50000;
  --md-pink-50: #fce4ec;
  --md-pink-100: #f8bbd0;
  --md-pink-200: #f48fb1;
  --md-pink-300: #f06292;
  --md-pink-400: #ec407a;
  --md-pink-500: #e91e63;
  --md-pink-600: #d81b60;
  --md-pink-700: #c2185b;
  --md-pink-800: #ad1457;
  --md-pink-900: #880e4f;
  --md-pink-A100: #ff80ab;
  --md-pink-A200: #ff4081;
  --md-pink-A400: #f50057;
  --md-pink-A700: #c51162;
  --md-purple-50: #f3e5f5;
  --md-purple-100: #e1bee7;
  --md-purple-200: #ce93d8;
  --md-purple-300: #ba68c8;
  --md-purple-400: #ab47bc;
  --md-purple-500: #9c27b0;
  --md-purple-600: #8e24aa;
  --md-purple-700: #7b1fa2;
  --md-purple-800: #6a1b9a;
  --md-purple-900: #4a148c;
  --md-purple-A100: #ea80fc;
  --md-purple-A200: #e040fb;
  --md-purple-A400: #d500f9;
  --md-purple-A700: #a0f;
  --md-deep-purple-50: #ede7f6;
  --md-deep-purple-100: #d1c4e9;
  --md-deep-purple-200: #b39ddb;
  --md-deep-purple-300: #9575cd;
  --md-deep-purple-400: #7e57c2;
  --md-deep-purple-500: #673ab7;
  --md-deep-purple-600: #5e35b1;
  --md-deep-purple-700: #512da8;
  --md-deep-purple-800: #4527a0;
  --md-deep-purple-900: #311b92;
  --md-deep-purple-A100: #b388ff;
  --md-deep-purple-A200: #7c4dff;
  --md-deep-purple-A400: #651fff;
  --md-deep-purple-A700: #6200ea;
  --md-indigo-50: #e8eaf6;
  --md-indigo-100: #c5cae9;
  --md-indigo-200: #9fa8da;
  --md-indigo-300: #7986cb;
  --md-indigo-400: #5c6bc0;
  --md-indigo-500: #3f51b5;
  --md-indigo-600: #3949ab;
  --md-indigo-700: #303f9f;
  --md-indigo-800: #283593;
  --md-indigo-900: #1a237e;
  --md-indigo-A100: #8c9eff;
  --md-indigo-A200: #536dfe;
  --md-indigo-A400: #3d5afe;
  --md-indigo-A700: #304ffe;
  --md-blue-50: #e3f2fd;
  --md-blue-100: #bbdefb;
  --md-blue-200: #90caf9;
  --md-blue-300: #64b5f6;
  --md-blue-400: #42a5f5;
  --md-blue-500: #2196f3;
  --md-blue-600: #1e88e5;
  --md-blue-700: #1976d2;
  --md-blue-800: #1565c0;
  --md-blue-900: #0d47a1;
  --md-blue-A100: #82b1ff;
  --md-blue-A200: #448aff;
  --md-blue-A400: #2979ff;
  --md-blue-A700: #2962ff;
  --md-light-blue-50: #e1f5fe;
  --md-light-blue-100: #b3e5fc;
  --md-light-blue-200: #81d4fa;
  --md-light-blue-300: #4fc3f7;
  --md-light-blue-400: #29b6f6;
  --md-light-blue-500: #03a9f4;
  --md-light-blue-600: #039be5;
  --md-light-blue-700: #0288d1;
  --md-light-blue-800: #0277bd;
  --md-light-blue-900: #01579b;
  --md-light-blue-A100: #80d8ff;
  --md-light-blue-A200: #40c4ff;
  --md-light-blue-A400: #00b0ff;
  --md-light-blue-A700: #0091ea;
  --md-cyan-50: #e0f7fa;
  --md-cyan-100: #b2ebf2;
  --md-cyan-200: #80deea;
  --md-cyan-300: #4dd0e1;
  --md-cyan-400: #26c6da;
  --md-cyan-500: #00bcd4;
  --md-cyan-600: #00acc1;
  --md-cyan-700: #0097a7;
  --md-cyan-800: #00838f;
  --md-cyan-900: #006064;
  --md-cyan-A100: #84ffff;
  --md-cyan-A200: #18ffff;
  --md-cyan-A400: #00e5ff;
  --md-cyan-A700: #00b8d4;
  --md-teal-50: #e0f2f1;
  --md-teal-100: #b2dfdb;
  --md-teal-200: #80cbc4;
  --md-teal-300: #4db6ac;
  --md-teal-400: #26a69a;
  --md-teal-500: #009688;
  --md-teal-600: #00897b;
  --md-teal-700: #00796b;
  --md-teal-800: #00695c;
  --md-teal-900: #004d40;
  --md-teal-A100: #a7ffeb;
  --md-teal-A200: #64ffda;
  --md-teal-A400: #1de9b6;
  --md-teal-A700: #00bfa5;
  --md-green-50: #e8f5e9;
  --md-green-100: #c8e6c9;
  --md-green-200: #a5d6a7;
  --md-green-300: #81c784;
  --md-green-400: #66bb6a;
  --md-green-500: #4caf50;
  --md-green-600: #43a047;
  --md-green-700: #388e3c;
  --md-green-800: #2e7d32;
  --md-green-900: #1b5e20;
  --md-green-A100: #b9f6ca;
  --md-green-A200: #69f0ae;
  --md-green-A400: #00e676;
  --md-green-A700: #00c853;
  --md-light-green-50: #f1f8e9;
  --md-light-green-100: #dcedc8;
  --md-light-green-200: #c5e1a5;
  --md-light-green-300: #aed581;
  --md-light-green-400: #9ccc65;
  --md-light-green-500: #8bc34a;
  --md-light-green-600: #7cb342;
  --md-light-green-700: #689f38;
  --md-light-green-800: #558b2f;
  --md-light-green-900: #33691e;
  --md-light-green-A100: #ccff90;
  --md-light-green-A200: #b2ff59;
  --md-light-green-A400: #76ff03;
  --md-light-green-A700: #64dd17;
  --md-lime-50: #f9fbe7;
  --md-lime-100: #f0f4c3;
  --md-lime-200: #e6ee9c;
  --md-lime-300: #dce775;
  --md-lime-400: #d4e157;
  --md-lime-500: #cddc39;
  --md-lime-600: #c0ca33;
  --md-lime-700: #afb42b;
  --md-lime-800: #9e9d24;
  --md-lime-900: #827717;
  --md-lime-A100: #f4ff81;
  --md-lime-A200: #eeff41;
  --md-lime-A400: #c6ff00;
  --md-lime-A700: #aeea00;
  --md-yellow-50: #fffde7;
  --md-yellow-100: #fff9c4;
  --md-yellow-200: #fff59d;
  --md-yellow-300: #fff176;
  --md-yellow-400: #ffee58;
  --md-yellow-500: #ffeb3b;
  --md-yellow-600: #fdd835;
  --md-yellow-700: #fbc02d;
  --md-yellow-800: #f9a825;
  --md-yellow-900: #f57f17;
  --md-yellow-A100: #ffff8d;
  --md-yellow-A200: #ff0;
  --md-yellow-A400: #ffea00;
  --md-yellow-A700: #ffd600;
  --md-amber-50: #fff8e1;
  --md-amber-100: #ffecb3;
  --md-amber-200: #ffe082;
  --md-amber-300: #ffd54f;
  --md-amber-400: #ffca28;
  --md-amber-500: #ffc107;
  --md-amber-600: #ffb300;
  --md-amber-700: #ffa000;
  --md-amber-800: #ff8f00;
  --md-amber-900: #ff6f00;
  --md-amber-A100: #ffe57f;
  --md-amber-A200: #ffd740;
  --md-amber-A400: #ffc400;
  --md-amber-A700: #ffab00;
  --md-orange-50: #fff3e0;
  --md-orange-100: #ffe0b2;
  --md-orange-200: #ffcc80;
  --md-orange-300: #ffb74d;
  --md-orange-400: #ffa726;
  --md-orange-500: #ff9800;
  --md-orange-600: #fb8c00;
  --md-orange-700: #f57c00;
  --md-orange-800: #ef6c00;
  --md-orange-900: #e65100;
  --md-orange-A100: #ffd180;
  --md-orange-A200: #ffab40;
  --md-orange-A400: #ff9100;
  --md-orange-A700: #ff6d00;
  --md-deep-orange-50: #fbe9e7;
  --md-deep-orange-100: #ffccbc;
  --md-deep-orange-200: #ffab91;
  --md-deep-orange-300: #ff8a65;
  --md-deep-orange-400: #ff7043;
  --md-deep-orange-500: #ff5722;
  --md-deep-orange-600: #f4511e;
  --md-deep-orange-700: #e64a19;
  --md-deep-orange-800: #d84315;
  --md-deep-orange-900: #bf360c;
  --md-deep-orange-A100: #ff9e80;
  --md-deep-orange-A200: #ff6e40;
  --md-deep-orange-A400: #ff3d00;
  --md-deep-orange-A700: #dd2c00;
  --md-brown-50: #efebe9;
  --md-brown-100: #d7ccc8;
  --md-brown-200: #bcaaa4;
  --md-brown-300: #a1887f;
  --md-brown-400: #8d6e63;
  --md-brown-500: #795548;
  --md-brown-600: #6d4c41;
  --md-brown-700: #5d4037;
  --md-brown-800: #4e342e;
  --md-brown-900: #3e2723;
  --md-grey-50: #fafafa;
  --md-grey-100: #f5f5f5;
  --md-grey-200: #eee;
  --md-grey-300: #e0e0e0;
  --md-grey-400: #bdbdbd;
  --md-grey-500: #9e9e9e;
  --md-grey-600: #757575;
  --md-grey-700: #616161;
  --md-grey-800: #424242;
  --md-grey-900: #212121;
  --md-blue-grey-50: #eceff1;
  --md-blue-grey-100: #cfd8dc;
  --md-blue-grey-200: #b0bec5;
  --md-blue-grey-300: #90a4ae;
  --md-blue-grey-400: #78909c;
  --md-blue-grey-500: #607d8b;
  --md-blue-grey-600: #546e7a;
  --md-blue-grey-700: #455a64;
  --md-blue-grey-800: #37474f;
  --md-blue-grey-900: #263238;
}

/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2017, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| RenderedText
|----------------------------------------------------------------------------*/

:root {
  /* This is the padding value to fill the gaps between lines containing spans with background color. */
  --jp-private-code-span-padding: calc(
    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
  );
}

.jp-RenderedText {
  text-align: left;
  padding-left: var(--jp-code-padding);
  line-height: var(--jp-code-line-height);
  font-family: var(--jp-code-font-family);
}

.jp-RenderedText pre,
.jp-RenderedJavaScript pre,
.jp-RenderedHTMLCommon pre {
  color: var(--jp-content-font-color1);
  font-size: var(--jp-code-font-size);
  border: none;
  margin: 0;
  padding: 0;
}

.jp-RenderedText pre a:link {
  text-decoration: none;
  color: var(--jp-content-link-color);
}

.jp-RenderedText pre a:hover {
  text-decoration: underline;
  color: var(--jp-content-link-color);
}

.jp-RenderedText pre a:visited {
  text-decoration: none;
  color: var(--jp-content-link-color);
}

/* console foregrounds and backgrounds */
.jp-RenderedText pre .ansi-black-fg {
  color: #3e424d;
}

.jp-RenderedText pre .ansi-red-fg {
  color: #e75c58;
}

.jp-RenderedText pre .ansi-green-fg {
  color: #00a250;
}

.jp-RenderedText pre .ansi-yellow-fg {
  color: #ddb62b;
}

.jp-RenderedText pre .ansi-blue-fg {
  color: #208ffb;
}

.jp-RenderedText pre .ansi-magenta-fg {
  color: #d160c4;
}

.jp-RenderedText pre .ansi-cyan-fg {
  color: #60c6c8;
}

.jp-RenderedText pre .ansi-white-fg {
  color: #c5c1b4;
}

.jp-RenderedText pre .ansi-black-bg {
  background-color: #3e424d;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-red-bg {
  background-color: #e75c58;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-green-bg {
  background-color: #00a250;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-yellow-bg {
  background-color: #ddb62b;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-blue-bg {
  background-color: #208ffb;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-magenta-bg {
  background-color: #d160c4;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-cyan-bg {
  background-color: #60c6c8;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-white-bg {
  background-color: #c5c1b4;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-black-intense-fg {
  color: #282c36;
}

.jp-RenderedText pre .ansi-red-intense-fg {
  color: #b22b31;
}

.jp-RenderedText pre .ansi-green-intense-fg {
  color: #007427;
}

.jp-RenderedText pre .ansi-yellow-intense-fg {
  color: #b27d12;
}

.jp-RenderedText pre .ansi-blue-intense-fg {
  color: #0065ca;
}

.jp-RenderedText pre .ansi-magenta-intense-fg {
  color: #a03196;
}

.jp-RenderedText pre .ansi-cyan-intense-fg {
  color: #258f8f;
}

.jp-RenderedText pre .ansi-white-intense-fg {
  color: #a1a6b2;
}

.jp-RenderedText pre .ansi-black-intense-bg {
  background-color: #282c36;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-red-intense-bg {
  background-color: #b22b31;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-green-intense-bg {
  background-color: #007427;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-yellow-intense-bg {
  background-color: #b27d12;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-blue-intense-bg {
  background-color: #0065ca;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-magenta-intense-bg {
  background-color: #a03196;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-cyan-intense-bg {
  background-color: #258f8f;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-white-intense-bg {
  background-color: #a1a6b2;
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-default-inverse-fg {
  color: var(--jp-ui-inverse-font-color0);
}

.jp-RenderedText pre .ansi-default-inverse-bg {
  background-color: var(--jp-inverse-layout-color0);
  padding: var(--jp-private-code-span-padding) 0;
}

.jp-RenderedText pre .ansi-bold {
  font-weight: bold;
}

.jp-RenderedText pre .ansi-underline {
  text-decoration: underline;
}

.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
  background: var(--jp-rendermime-error-background);
  padding-top: var(--jp-code-padding);
}

/*-----------------------------------------------------------------------------
| RenderedLatex
|----------------------------------------------------------------------------*/

.jp-RenderedLatex {
  color: var(--jp-content-font-color1);
  font-size: var(--jp-content-font-size1);
  line-height: var(--jp-content-line-height);
}

/* Left-justify outputs.*/
.jp-OutputArea-output.jp-RenderedLatex {
  padding: var(--jp-code-padding);
  text-align: left;
}

/*-----------------------------------------------------------------------------
| RenderedHTML
|----------------------------------------------------------------------------*/

.jp-RenderedHTMLCommon {
  color: var(--jp-content-font-color1);
  font-family: var(--jp-content-font-family);
  font-size: var(--jp-content-font-size1);
  line-height: var(--jp-content-line-height);

  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
  padding-right: 20px;
}

.jp-RenderedHTMLCommon em {
  font-style: italic;
}

.jp-RenderedHTMLCommon strong {
  font-weight: bold;
}

.jp-RenderedHTMLCommon u {
  text-decoration: underline;
}

.jp-RenderedHTMLCommon a:link {
  text-decoration: none;
  color: var(--jp-content-link-color);
}

.jp-RenderedHTMLCommon a:hover {
  text-decoration: underline;
  color: var(--jp-content-link-color);
}

.jp-RenderedHTMLCommon a:visited {
  text-decoration: none;
  color: var(--jp-content-link-color);
}

/* Headings */

.jp-RenderedHTMLCommon h1,
.jp-RenderedHTMLCommon h2,
.jp-RenderedHTMLCommon h3,
.jp-RenderedHTMLCommon h4,
.jp-RenderedHTMLCommon h5,
.jp-RenderedHTMLCommon h6 {
  line-height: var(--jp-content-heading-line-height);
  font-weight: var(--jp-content-heading-font-weight);
  font-style: normal;
  margin: var(--jp-content-heading-margin-top) 0
    var(--jp-content-heading-margin-bottom) 0;
}

.jp-RenderedHTMLCommon h1:first-child,
.jp-RenderedHTMLCommon h2:first-child,
.jp-RenderedHTMLCommon h3:first-child,
.jp-RenderedHTMLCommon h4:first-child,
.jp-RenderedHTMLCommon h5:first-child,
.jp-RenderedHTMLCommon h6:first-child {
  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
}

.jp-RenderedHTMLCommon h1:last-child,
.jp-RenderedHTMLCommon h2:last-child,
.jp-RenderedHTMLCommon h3:last-child,
.jp-RenderedHTMLCommon h4:last-child,
.jp-RenderedHTMLCommon h5:last-child,
.jp-RenderedHTMLCommon h6:last-child {
  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
}

.jp-RenderedHTMLCommon h1 {
  font-size: var(--jp-content-font-size5);
}

.jp-RenderedHTMLCommon h2 {
  font-size: var(--jp-content-font-size4);
}

.jp-RenderedHTMLCommon h3 {
  font-size: var(--jp-content-font-size3);
}

.jp-RenderedHTMLCommon h4 {
  font-size: var(--jp-content-font-size2);
}

.jp-RenderedHTMLCommon h5 {
  font-size: var(--jp-content-font-size1);
}

.jp-RenderedHTMLCommon h6 {
  font-size: var(--jp-content-font-size0);
}

/* Lists */

/* stylelint-disable selector-max-type, selector-max-compound-selectors */

.jp-RenderedHTMLCommon ul:not(.list-inline),
.jp-RenderedHTMLCommon ol:not(.list-inline) {
  padding-left: 2em;
}

.jp-RenderedHTMLCommon ul {
  list-style: disc;
}

.jp-RenderedHTMLCommon ul ul {
  list-style: square;
}

.jp-RenderedHTMLCommon ul ul ul {
  list-style: circle;
}

.jp-RenderedHTMLCommon ol {
  list-style: decimal;
}

.jp-RenderedHTMLCommon ol ol {
  list-style: upper-alpha;
}

.jp-RenderedHTMLCommon ol ol ol {
  list-style: lower-alpha;
}

.jp-RenderedHTMLCommon ol ol ol ol {
  list-style: lower-roman;
}

.jp-RenderedHTMLCommon ol ol ol ol ol {
  list-style: decimal;
}

.jp-RenderedHTMLCommon ol,
.jp-RenderedHTMLCommon ul {
  margin-bottom: 1em;
}

.jp-RenderedHTMLCommon ul ul,
.jp-RenderedHTMLCommon ul ol,
.jp-RenderedHTMLCommon ol ul,
.jp-RenderedHTMLCommon ol ol {
  margin-bottom: 0;
}

/* stylelint-enable selector-max-type, selector-max-compound-selectors */

.jp-RenderedHTMLCommon hr {
  color: var(--jp-border-color2);
  background-color: var(--jp-border-color1);
  margin-top: 1em;
  margin-bottom: 1em;
}

.jp-RenderedHTMLCommon > pre {
  margin: 1.5em 2em;
}

.jp-RenderedHTMLCommon pre,
.jp-RenderedHTMLCommon code {
  border: 0;
  background-color: var(--jp-layout-color0);
  color: var(--jp-content-font-color1);
  font-family: var(--jp-code-font-family);
  font-size: inherit;
  line-height: var(--jp-code-line-height);
  padding: 0;
  white-space: pre-wrap;
}

.jp-RenderedHTMLCommon :not(pre) > code {
  background-color: var(--jp-layout-color2);
  padding: 1px 5px;
}

/* Tables */

.jp-RenderedHTMLCommon table {
  border-collapse: collapse;
  border-spacing: 0;
  border: none;
  color: var(--jp-ui-font-color1);
  font-size: var(--jp-ui-font-size1);
  table-layout: fixed;
  margin-left: auto;
  margin-bottom: 1em;
  margin-right: auto;
}

.jp-RenderedHTMLCommon thead {
  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
  vertical-align: bottom;
}

.jp-RenderedHTMLCommon td,
.jp-RenderedHTMLCommon th,
.jp-RenderedHTMLCommon tr {
  vertical-align: middle;
  padding: 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}

.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
  max-width: none;
}

:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
  text-align: right;
}

.jp-RenderedHTMLCommon th {
  font-weight: bold;
}

.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
  background: var(--jp-layout-color0);
}

.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
  background: var(--jp-rendermime-table-row-background);
}

.jp-RenderedHTMLCommon tbody tr:hover {
  background: var(--jp-rendermime-table-row-hover-background);
}

.jp-RenderedHTMLCommon p {
  text-align: left;
  margin: 0;
  margin-bottom: 1em;
}

.jp-RenderedHTMLCommon img {
  -moz-force-broken-image-icon: 1;
}

/* Restrict to direct children as other images could be nested in other content. */
.jp-RenderedHTMLCommon > img {
  display: block;
  margin-left: 0;
  margin-right: 0;
  margin-bottom: 1em;
}

/* Change color behind transparent images if they need it... */
[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
  background-color: var(--jp-inverse-layout-color1);
}

[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
  background-color: var(--jp-inverse-layout-color1);
}

.jp-RenderedHTMLCommon img,
.jp-RenderedImage img,
.jp-RenderedHTMLCommon svg,
.jp-RenderedSVG svg {
  max-width: 100%;
  height: auto;
}

.jp-RenderedHTMLCommon img.jp-mod-unconfined,
.jp-RenderedImage img.jp-mod-unconfined,
.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
.jp-RenderedSVG svg.jp-mod-unconfined {
  max-width: none;
}

.jp-RenderedHTMLCommon .alert {
  padding: var(--jp-notebook-padding);
  border: var(--jp-border-width) solid transparent;
  border-radius: var(--jp-border-radius);
  margin-bottom: 1em;
}

.jp-RenderedHTMLCommon .alert-info {
  color: var(--jp-info-color0);
  background-color: var(--jp-info-color3);
  border-color: var(--jp-info-color2);
}

.jp-RenderedHTMLCommon .alert-info hr {
  border-color: var(--jp-info-color3);
}

.jp-RenderedHTMLCommon .alert-info > p:last-child,
.jp-RenderedHTMLCommon .alert-info > ul:last-child {
  margin-bottom: 0;
}

.jp-RenderedHTMLCommon .alert-warning {
  color: var(--jp-warn-color0);
  background-color: var(--jp-warn-color3);
  border-color: var(--jp-warn-color2);
}

.jp-RenderedHTMLCommon .alert-warning hr {
  border-color: var(--jp-warn-color3);
}

.jp-RenderedHTMLCommon .alert-warning > p:last-child,
.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
  margin-bottom: 0;
}

.jp-RenderedHTMLCommon .alert-success {
  color: var(--jp-success-color0);
  background-color: var(--jp-success-color3);
  border-color: var(--jp-success-color2);
}

.jp-RenderedHTMLCommon .alert-success hr {
  border-color: var(--jp-success-color3);
}

.jp-RenderedHTMLCommon .alert-success > p:last-child,
.jp-RenderedHTMLCommon .alert-success > ul:last-child {
  margin-bottom: 0;
}

.jp-RenderedHTMLCommon .alert-danger {
  color: var(--jp-error-color0);
  background-color: var(--jp-error-color3);
  border-color: var(--jp-error-color2);
}

.jp-RenderedHTMLCommon .alert-danger hr {
  border-color: var(--jp-error-color3);
}

.jp-RenderedHTMLCommon .alert-danger > p:last-child,
.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
  margin-bottom: 0;
}

.jp-RenderedHTMLCommon blockquote {
  margin: 1em 2em;
  padding: 0 1em;
  border-left: 5px solid var(--jp-border-color2);
}

a.jp-InternalAnchorLink {
  visibility: hidden;
  margin-left: 8px;
  color: var(--md-blue-800);
}

h1:hover .jp-InternalAnchorLink,
h2:hover .jp-InternalAnchorLink,
h3:hover .jp-InternalAnchorLink,
h4:hover .jp-InternalAnchorLink,
h5:hover .jp-InternalAnchorLink,
h6:hover .jp-InternalAnchorLink {
  visibility: visible;
}

.jp-RenderedHTMLCommon kbd {
  background-color: var(--jp-rendermime-table-row-background);
  border: 1px solid var(--jp-border-color0);
  border-bottom-color: var(--jp-border-color2);
  border-radius: 3px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
  display: inline-block;
  font-size: var(--jp-ui-font-size0);
  line-height: 1em;
  padding: 0.2em 0.5em;
}

/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
 * At the bottom of cells this is a bit too much as there is also spacing
 * between cells. Going all the way to 0 gets too tight between markdown and
 * code cells.
 */
.jp-RenderedHTMLCommon > *:last-child {
  margin-bottom: 0.5em;
}

/*
 * Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Copyright (c) 2014-2017, PhosphorJS Contributors
|
| Distributed under the terms of the BSD 3-Clause License.
|
| The full license is in the file LICENSE, distributed with this software.
|----------------------------------------------------------------------------*/

.lm-cursor-backdrop {
  position: fixed;
  width: 200px;
  height: 200px;
  margin-top: -100px;
  margin-left: -100px;
  will-change: transform;
  z-index: 100;
}

.lm-mod-drag-image {
  will-change: transform;
}

/*
 * Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

.jp-lineFormSearch {
  padding: 4px 12px;
  background-color: var(--jp-layout-color2);
  box-shadow: var(--jp-toolbar-box-shadow);
  z-index: 2;
  font-size: var(--jp-ui-font-size1);
}

.jp-lineFormCaption {
  font-size: var(--jp-ui-font-size0);
  line-height: var(--jp-ui-font-size1);
  margin-top: 4px;
  color: var(--jp-ui-font-color0);
}

.jp-baseLineForm {
  border: none;
  border-radius: 0;
  position: absolute;
  background-size: 16px;
  background-repeat: no-repeat;
  background-position: center;
  outline: none;
}

.jp-lineFormButtonContainer {
  top: 4px;
  right: 8px;
  height: 24px;
  padding: 0 12px;
  width: 12px;
}

.jp-lineFormButtonIcon {
  top: 0;
  right: 0;
  background-color: var(--jp-brand-color1);
  height: 100%;
  width: 100%;
  box-sizing: border-box;
  padding: 4px 6px;
}

.jp-lineFormButton {
  top: 0;
  right: 0;
  background-color: transparent;
  height: 100%;
  width: 100%;
  box-sizing: border-box;
}

.jp-lineFormWrapper {
  overflow: hidden;
  padding: 0 8px;
  border: 1px solid var(--jp-border-color0);
  background-color: var(--jp-input-active-background);
  height: 22px;
}

.jp-lineFormWrapperFocusWithin {
  border: var(--jp-border-width) solid var(--md-blue-500);
  box-shadow: inset 0 0 4px var(--md-blue-300);
}

.jp-lineFormInput {
  background: transparent;
  width: 200px;
  height: 100%;
  border: none;
  outline: none;
  color: var(--jp-ui-font-color0);
  line-height: 28px;
}

/*-----------------------------------------------------------------------------
| Copyright (c) 2014-2016, Jupyter Development Team.
|
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-JSONEditor {
  display: flex;
  flex-direction: column;
  width: 100%;
}

.jp-JSONEditor-host {
  flex: 1 1 auto;
  border: var(--jp-border-width) solid var(--jp-input-border-color);
  border-radius: 0;
  background: var(--jp-layout-color0);
  min-height: 50px;
  padding: 1px;
}

.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
  border-color: red;
  outline-color: red;
}

.jp-JSONEditor-header {
  display: flex;
  flex: 1 0 auto;
  padding: 0 0 0 12px;
}

.jp-JSONEditor-header label {
  flex: 0 0 auto;
}

.jp-JSONEditor-commitButton {
  height: 16px;
  width: 16px;
  background-size: 18px;
  background-repeat: no-repeat;
  background-position: center;
}

.jp-JSONEditor-host.jp-mod-focused {
  background-color: var(--jp-input-active-background);
  border: 1px solid var(--jp-input-active-border-color);
  box-shadow: var(--jp-input-box-shadow);
}

.jp-Editor.jp-mod-dropTarget {
  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
  box-shadow: var(--jp-input-box-shadow);
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/
.jp-DocumentSearch-input {
  border: none;
  outline: none;
  color: var(--jp-ui-font-color0);
  font-size: var(--jp-ui-font-size1);
  background-color: var(--jp-layout-color0);
  font-family: var(--jp-ui-font-family);
  padding: 2px 1px;
  resize: none;
}

.jp-DocumentSearch-overlay {
  position: absolute;
  background-color: var(--jp-toolbar-background);
  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
  top: 0;
  right: 0;
  z-index: 7;
  min-width: 405px;
  padding: 2px;
  font-size: var(--jp-ui-font-size1);

  --jp-private-document-search-button-height: 20px;
}

.jp-DocumentSearch-overlay button {
  background-color: var(--jp-toolbar-background);
  outline: 0;
}

.jp-DocumentSearch-overlay button:hover {
  background-color: var(--jp-layout-color2);
}

.jp-DocumentSearch-overlay button:active {
  background-color: var(--jp-layout-color3);
}

.jp-DocumentSearch-overlay-row {
  display: flex;
  align-items: center;
  margin-bottom: 2px;
}

.jp-DocumentSearch-button-content {
  display: inline-block;
  cursor: pointer;
  box-sizing: border-box;
  width: 100%;
  height: 100%;
}

.jp-DocumentSearch-button-content svg {
  width: 100%;
  height: 100%;
}

.jp-DocumentSearch-input-wrapper {
  border: var(--jp-border-width) solid var(--jp-border-color0);
  display: flex;
  background-color: var(--jp-layout-color0);
  margin: 2px;
}

.jp-DocumentSearch-input-wrapper:focus-within {
  border-color: var(--jp-cell-editor-active-border-color);
}

.jp-DocumentSearch-toggle-wrapper,
.jp-DocumentSearch-button-wrapper {
  all: initial;
  overflow: hidden;
  display: inline-block;
  border: none;
  box-sizing: border-box;
}

.jp-DocumentSearch-toggle-wrapper {
  width: 14px;
  height: 14px;
}

.jp-DocumentSearch-button-wrapper {
  width: var(--jp-private-document-search-button-height);
  height: var(--jp-private-document-search-button-height);
}

.jp-DocumentSearch-toggle-wrapper:focus,
.jp-DocumentSearch-button-wrapper:focus {
  outline: var(--jp-border-width) solid
    var(--jp-cell-editor-active-border-color);
  outline-offset: -1px;
}

.jp-DocumentSearch-toggle-wrapper,
.jp-DocumentSearch-button-wrapper,
.jp-DocumentSearch-button-content:focus {
  outline: none;
}

.jp-DocumentSearch-toggle-placeholder {
  width: 5px;
}

.jp-DocumentSearch-input-button::before {
  display: block;
  padding-top: 100%;
}

.jp-DocumentSearch-input-button-off {
  opacity: var(--jp-search-toggle-off-opacity);
}

.jp-DocumentSearch-input-button-off:hover {
  opacity: var(--jp-search-toggle-hover-opacity);
}

.jp-DocumentSearch-input-button-on {
  opacity: var(--jp-search-toggle-on-opacity);
}

.jp-DocumentSearch-index-counter {
  padding-left: 10px;
  padding-right: 10px;
  user-select: none;
  min-width: 35px;
  display: inline-block;
}

.jp-DocumentSearch-up-down-wrapper {
  display: inline-block;
  padding-right: 2px;
  margin-left: auto;
  white-space: nowrap;
}

.jp-DocumentSearch-spacer {
  margin-left: auto;
}

.jp-DocumentSearch-up-down-wrapper button {
  outline: 0;
  border: none;
  width: var(--jp-private-document-search-button-height);
  height: var(--jp-private-document-search-button-height);
  vertical-align: middle;
  margin: 1px 5px 2px;
}

.jp-DocumentSearch-up-down-button:hover {
  background-color: var(--jp-layout-color2);
}

.jp-DocumentSearch-up-down-button:active {
  background-color: var(--jp-layout-color3);
}

.jp-DocumentSearch-filter-button {
  border-radius: var(--jp-border-radius);
}

.jp-DocumentSearch-filter-button:hover {
  background-color: var(--jp-layout-color2);
}

.jp-DocumentSearch-filter-button-enabled {
  background-color: var(--jp-layout-color2);
}

.jp-DocumentSearch-filter-button-enabled:hover {
  background-color: var(--jp-layout-color3);
}

.jp-DocumentSearch-search-options {
  padding: 0 8px;
  margin-left: 3px;
  width: 100%;
  display: grid;
  justify-content: start;
  grid-template-columns: 1fr 1fr;
  align-items: center;
  justify-items: stretch;
}

.jp-DocumentSearch-search-filter-disabled {
  color: var(--jp-ui-font-color2);
}

.jp-DocumentSearch-search-filter {
  display: flex;
  align-items: center;
  user-select: none;
}

.jp-DocumentSearch-regex-error {
  color: var(--jp-error-color0);
}

.jp-DocumentSearch-replace-button-wrapper {
  overflow: hidden;
  display: inline-block;
  box-sizing: border-box;
  border: var(--jp-border-width) solid var(--jp-border-color0);
  margin: auto 2px;
  padding: 1px 4px;
  height: calc(var(--jp-private-document-search-button-height) + 2px);
}

.jp-DocumentSearch-replace-button-wrapper:focus {
  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
}

.jp-DocumentSearch-replace-button {
  display: inline-block;
  text-align: center;
  cursor: pointer;
  box-sizing: border-box;
  color: var(--jp-ui-font-color1);

  /* height - 2 * (padding of wrapper) */
  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
  width: 100%;
  height: 100%;
}

.jp-DocumentSearch-replace-button:focus {
  outline: none;
}

.jp-DocumentSearch-replace-wrapper-class {
  margin-left: 14px;
  display: flex;
}

.jp-DocumentSearch-replace-toggle {
  border: none;
  background-color: var(--jp-toolbar-background);
  border-radius: var(--jp-border-radius);
}

.jp-DocumentSearch-replace-toggle:hover {
  background-color: var(--jp-layout-color2);
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.cm-editor {
  line-height: var(--jp-code-line-height);
  font-size: var(--jp-code-font-size);
  font-family: var(--jp-code-font-family);
  border: 0;
  border-radius: 0;
  height: auto;

  /* Changed to auto to autogrow */
}

.cm-editor pre {
  padding: 0 var(--jp-code-padding);
}

.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
  background-color: var(--jp-layout-color0);
  color: var(--jp-content-font-color1);
}

.jp-CodeMirrorEditor {
  cursor: text;
}

/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
@media screen and (min-width: 2138px) and (max-width: 4319px) {
  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
    border-left: var(--jp-code-cursor-width1) solid
      var(--jp-editor-cursor-color);
  }
}

/* When zoomed out less than 33% */
@media screen and (min-width: 4320px) {
  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
    border-left: var(--jp-code-cursor-width2) solid
      var(--jp-editor-cursor-color);
  }
}

.cm-editor.jp-mod-readOnly .cm-cursor {
  display: none;
}

.jp-CollaboratorCursor {
  border-left: 5px solid transparent;
  border-right: 5px solid transparent;
  border-top: none;
  border-bottom: 3px solid;
  background-clip: content-box;
  margin-left: -5px;
  margin-right: -5px;
}

.cm-searching,
.cm-searching span {
  /* `.cm-searching span`: we need to override syntax highlighting */
  background-color: var(--jp-search-unselected-match-background-color);
  color: var(--jp-search-unselected-match-color);
}

.cm-searching::selection,
.cm-searching span::selection {
  background-color: var(--jp-search-unselected-match-background-color);
  color: var(--jp-search-unselected-match-color);
}

.jp-current-match > .cm-searching,
.jp-current-match > .cm-searching span,
.cm-searching > .jp-current-match,
.cm-searching > .jp-current-match span {
  background-color: var(--jp-search-selected-match-background-color);
  color: var(--jp-search-selected-match-color);
}

.jp-current-match > .cm-searching::selection,
.cm-searching > .jp-current-match::selection,
.jp-current-match > .cm-searching span::selection {
  background-color: var(--jp-search-selected-match-background-color);
  color: var(--jp-search-selected-match-color);
}

.cm-trailingspace {
  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
  background-position: center left;
  background-repeat: repeat-x;
}

.jp-CollaboratorCursor-hover {
  position: absolute;
  z-index: 1;
  transform: translateX(-50%);
  color: white;
  border-radius: 3px;
  padding-left: 4px;
  padding-right: 4px;
  padding-top: 1px;
  padding-bottom: 1px;
  text-align: center;
  font-size: var(--jp-ui-font-size1);
  white-space: nowrap;
}

.jp-CodeMirror-ruler {
  border-left: 1px dashed var(--jp-border-color2);
}

/* Styles for shared cursors (remote cursor locations and selected ranges) */
.jp-CodeMirrorEditor .cm-ySelectionCaret {
  position: relative;
  border-left: 1px solid black;
  margin-left: -1px;
  margin-right: -1px;
  box-sizing: border-box;
}

.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
  white-space: nowrap;
  position: absolute;
  top: -1.15em;
  padding-bottom: 0.05em;
  left: -1px;
  font-size: 0.95em;
  font-family: var(--jp-ui-font-family);
  font-weight: bold;
  line-height: normal;
  user-select: none;
  color: white;
  padding-left: 2px;
  padding-right: 2px;
  z-index: 101;
  transition: opacity 0.3s ease-in-out;
}

.jp-CodeMirrorEditor .cm-ySelectionInfo {
  transition-delay: 0.7s;
  opacity: 0;
}

.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
  opacity: 1;
  transition-delay: 0s;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-MimeDocument {
  outline: none;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Variables
|----------------------------------------------------------------------------*/

:root {
  --jp-private-filebrowser-button-height: 28px;
  --jp-private-filebrowser-button-width: 48px;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-FileBrowser .jp-SidePanel-content {
  display: flex;
  flex-direction: column;
}

.jp-FileBrowser-toolbar.jp-Toolbar {
  flex-wrap: wrap;
  row-gap: 12px;
  border-bottom: none;
  height: auto;
  margin: 8px 12px 0;
  box-shadow: none;
  padding: 0;
  justify-content: flex-start;
}

.jp-FileBrowser-Panel {
  flex: 1 1 auto;
  display: flex;
  flex-direction: column;
}

.jp-BreadCrumbs {
  flex: 0 0 auto;
  margin: 8px 12px;
}

.jp-BreadCrumbs-item {
  margin: 0 2px;
  padding: 0 2px;
  border-radius: var(--jp-border-radius);
  cursor: pointer;
}

.jp-BreadCrumbs-item:hover {
  background-color: var(--jp-layout-color2);
}

.jp-BreadCrumbs-item:first-child {
  margin-left: 0;
}

.jp-BreadCrumbs-item.jp-mod-dropTarget {
  background-color: var(--jp-brand-color2);
  opacity: 0.7;
}

/*-----------------------------------------------------------------------------
| Buttons
|----------------------------------------------------------------------------*/

.jp-FileBrowser-toolbar > .jp-Toolbar-item {
  flex: 0 0 auto;
  padding-left: 0;
  padding-right: 2px;
  align-items: center;
  height: unset;
}

.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
  width: 40px;
}

/*-----------------------------------------------------------------------------
| Other styles
|----------------------------------------------------------------------------*/

.jp-FileDialog.jp-mod-conflict input {
  color: var(--jp-error-color1);
}

.jp-FileDialog .jp-new-name-title {
  margin-top: 12px;
}

.jp-LastModified-hidden {
  display: none;
}

.jp-FileSize-hidden {
  display: none;
}

.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
  display: none;
}

/*-----------------------------------------------------------------------------
| DirListing
|----------------------------------------------------------------------------*/

.jp-DirListing {
  flex: 1 1 auto;
  display: flex;
  flex-direction: column;
  outline: 0;
}

.jp-DirListing-header {
  flex: 0 0 auto;
  display: flex;
  flex-direction: row;
  align-items: center;
  overflow: hidden;
  border-top: var(--jp-border-width) solid var(--jp-border-color2);
  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
  box-shadow: var(--jp-toolbar-box-shadow);
  z-index: 2;
}

.jp-DirListing-headerItem {
  padding: 4px 12px 2px;
  font-weight: 500;
}

.jp-DirListing-headerItem:hover {
  background: var(--jp-layout-color2);
}

.jp-DirListing-headerItem.jp-id-name {
  flex: 1 0 84px;
}

.jp-DirListing-headerItem.jp-id-modified {
  flex: 0 0 112px;
  border-left: var(--jp-border-width) solid var(--jp-border-color2);
  text-align: right;
}

.jp-DirListing-headerItem.jp-id-filesize {
  flex: 0 0 75px;
  border-left: var(--jp-border-width) solid var(--jp-border-color2);
  text-align: right;
}

.jp-id-narrow {
  display: none;
  flex: 0 0 5px;
  padding: 4px;
  border-left: var(--jp-border-width) solid var(--jp-border-color2);
  text-align: right;
  color: var(--jp-border-color2);
}

.jp-DirListing-narrow .jp-id-narrow {
  display: block;
}

.jp-DirListing-narrow .jp-id-modified,
.jp-DirListing-narrow .jp-DirListing-itemModified {
  display: none;
}

.jp-DirListing-headerItem.jp-mod-selected {
  font-weight: 600;
}

/* increase specificity to override bundled default */
.jp-DirListing-content {
  flex: 1 1 auto;
  margin: 0;
  padding: 0;
  list-style-type: none;
  overflow: auto;
  background-color: var(--jp-layout-color1);
}

.jp-DirListing-content mark {
  color: var(--jp-ui-font-color0);
  background-color: transparent;
  font-weight: bold;
}

.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
  color: var(--jp-ui-inverse-font-color0);
}

/* Style the directory listing content when a user drops a file to upload */
.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
  outline: 5px dashed rgba(128, 128, 128, 0.5);
  outline-offset: -10px;
  cursor: copy;
}

.jp-DirListing-item {
  display: flex;
  flex-direction: row;
  align-items: center;
  padding: 4px 12px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

.jp-DirListing-checkboxWrapper {
  /* Increases hit area of checkbox. */
  padding: 4px;
}

.jp-DirListing-header
  .jp-DirListing-checkboxWrapper
  + .jp-DirListing-headerItem {
  padding-left: 4px;
}

.jp-DirListing-content .jp-DirListing-checkboxWrapper {
  position: relative;
  left: -4px;
  margin: -4px 0 -4px -8px;
}

.jp-DirListing-checkboxWrapper.jp-mod-visible {
  visibility: visible;
}

/* For devices that support hovering, hide checkboxes until hovered, selected...
*/
@media (hover: hover) {
  .jp-DirListing-checkboxWrapper {
    visibility: hidden;
  }

  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
    visibility: visible;
  }
}

.jp-DirListing-item[data-is-dot] {
  opacity: 75%;
}

.jp-DirListing-item.jp-mod-selected {
  color: var(--jp-ui-inverse-font-color1);
  background: var(--jp-brand-color1);
}

.jp-DirListing-item.jp-mod-dropTarget {
  background: var(--jp-brand-color3);
}

.jp-DirListing-item:hover:not(.jp-mod-selected) {
  background: var(--jp-layout-color2);
}

.jp-DirListing-itemIcon {
  flex: 0 0 20px;
  margin-right: 4px;
}

.jp-DirListing-itemText {
  flex: 1 0 64px;
  white-space: nowrap;
  overflow: hidden;
  text-overflow: ellipsis;
  user-select: none;
}

.jp-DirListing-itemText:focus {
  outline-width: 2px;
  outline-color: var(--jp-inverse-layout-color1);
  outline-style: solid;
  outline-offset: 1px;
}

.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
  outline-color: var(--jp-layout-color1);
}

.jp-DirListing-itemModified {
  flex: 0 0 125px;
  text-align: right;
}

.jp-DirListing-itemFileSize {
  flex: 0 0 90px;
  text-align: right;
}

.jp-DirListing-editor {
  flex: 1 0 64px;
  outline: none;
  border: none;
  color: var(--jp-ui-font-color1);
  background-color: var(--jp-layout-color1);
}

.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
  color: var(--jp-success-color1);
  content: '\25CF';
  font-size: 8px;
  position: absolute;
  left: -8px;
}

.jp-DirListing-item.jp-mod-running.jp-mod-selected
  .jp-DirListing-itemIcon::before {
  color: var(--jp-ui-inverse-font-color1);
}

.jp-DirListing-item.lm-mod-drag-image,
.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
  font-size: var(--jp-ui-font-size1);
  padding-left: 4px;
  margin-left: 4px;
  width: 160px;
  background-color: var(--jp-ui-inverse-font-color2);
  box-shadow: var(--jp-elevation-z2);
  border-radius: 0;
  color: var(--jp-ui-font-color1);
  transform: translateX(-40%) translateY(-58%);
}

.jp-Document {
  min-width: 120px;
  min-height: 120px;
  outline: none;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Main OutputArea
| OutputArea has a list of Outputs
|----------------------------------------------------------------------------*/

.jp-OutputArea {
  overflow-y: auto;
}

.jp-OutputArea-child {
  display: table;
  table-layout: fixed;
  width: 100%;
  overflow: hidden;
}

.jp-OutputPrompt {
  width: var(--jp-cell-prompt-width);
  color: var(--jp-cell-outprompt-font-color);
  font-family: var(--jp-cell-prompt-font-family);
  padding: var(--jp-code-padding);
  letter-spacing: var(--jp-cell-prompt-letter-spacing);
  line-height: var(--jp-code-line-height);
  font-size: var(--jp-code-font-size);
  border: var(--jp-border-width) solid transparent;
  opacity: var(--jp-cell-prompt-opacity);

  /* Right align prompt text, don't wrap to handle large prompt numbers */
  text-align: right;
  white-space: nowrap;
  overflow: hidden;
  text-overflow: ellipsis;

  /* Disable text selection */
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

.jp-OutputArea-prompt {
  display: table-cell;
  vertical-align: top;
}

.jp-OutputArea-output {
  display: table-cell;
  width: 100%;
  height: auto;
  overflow: auto;
  user-select: text;
  -moz-user-select: text;
  -webkit-user-select: text;
  -ms-user-select: text;
}

.jp-OutputArea .jp-RenderedText {
  padding-left: 1ch;
}

/**
 * Prompt overlay.
 */

.jp-OutputArea-promptOverlay {
  position: absolute;
  top: 0;
  width: var(--jp-cell-prompt-width);
  height: 100%;
  opacity: 0.5;
}

.jp-OutputArea-promptOverlay:hover {
  background: var(--jp-layout-color2);
  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
  cursor: zoom-out;
}

.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
  cursor: zoom-in;
}

/**
 * Isolated output.
 */
.jp-OutputArea-output.jp-mod-isolated {
  width: 100%;
  display: block;
}

/*
When drag events occur, `lm-mod-override-cursor` is added to the body.
Because iframes steal all cursor events, the following two rules are necessary
to suppress pointer events while resize drags are occurring. There may be a
better solution to this problem.
*/
body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
  position: relative;
}

body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
  content: '';
  position: absolute;
  top: 0;
  left: 0;
  right: 0;
  bottom: 0;
  background: transparent;
}

/* pre */

.jp-OutputArea-output pre {
  border: none;
  margin: 0;
  padding: 0;
  overflow-x: auto;
  overflow-y: auto;
  word-break: break-all;
  word-wrap: break-word;
  white-space: pre-wrap;
}

/* tables */

.jp-OutputArea-output.jp-RenderedHTMLCommon table {
  margin-left: 0;
  margin-right: 0;
}

/* description lists */

.jp-OutputArea-output dl,
.jp-OutputArea-output dt,
.jp-OutputArea-output dd {
  display: block;
}

.jp-OutputArea-output dl {
  width: 100%;
  overflow: hidden;
  padding: 0;
  margin: 0;
}

.jp-OutputArea-output dt {
  font-weight: bold;
  float: left;
  width: 20%;
  padding: 0;
  margin: 0;
}

.jp-OutputArea-output dd {
  float: left;
  width: 80%;
  padding: 0;
  margin: 0;
}

.jp-TrimmedOutputs pre {
  background: var(--jp-layout-color3);
  font-size: calc(var(--jp-code-font-size) * 1.4);
  text-align: center;
  text-transform: uppercase;
}

/* Hide the gutter in case of
 *  - nested output areas (e.g. in the case of output widgets)
 *  - mirrored output areas
 */
.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
  display: none;
}

/* Hide empty lines in the output area, for instance due to cleared widgets */
.jp-OutputArea-prompt:empty {
  padding: 0;
  border: 0;
}

/*-----------------------------------------------------------------------------
| executeResult is added to any Output-result for the display of the object
| returned by a cell
|----------------------------------------------------------------------------*/

.jp-OutputArea-output.jp-OutputArea-executeResult {
  margin-left: 0;
  width: 100%;
}

/* Text output with the Out[] prompt needs a top padding to match the
 * alignment of the Out[] prompt itself.
 */
.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
  padding-top: var(--jp-code-padding);
  border-top: var(--jp-border-width) solid transparent;
}

/*-----------------------------------------------------------------------------
| The Stdin output
|----------------------------------------------------------------------------*/

.jp-Stdin-prompt {
  color: var(--jp-content-font-color0);
  padding-right: var(--jp-code-padding);
  vertical-align: baseline;
  flex: 0 0 auto;
}

.jp-Stdin-input {
  font-family: var(--jp-code-font-family);
  font-size: inherit;
  color: inherit;
  background-color: inherit;
  width: 42%;
  min-width: 200px;

  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;

  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0 0.25em;
  margin: 0 0.25em;
  flex: 0 0 70%;
}

.jp-Stdin-input::placeholder {
  opacity: 0;
}

.jp-Stdin-input:focus {
  box-shadow: none;
}

.jp-Stdin-input:focus::placeholder {
  opacity: 1;
}

/*-----------------------------------------------------------------------------
| Output Area View
|----------------------------------------------------------------------------*/

.jp-LinkedOutputView .jp-OutputArea {
  height: 100%;
  display: block;
}

.jp-LinkedOutputView .jp-OutputArea-output:only-child {
  height: 100%;
}

/*-----------------------------------------------------------------------------
| Printing
|----------------------------------------------------------------------------*/

@media print {
  .jp-OutputArea-child {
    break-inside: avoid-page;
  }
}

/*-----------------------------------------------------------------------------
| Mobile
|----------------------------------------------------------------------------*/
@media only screen and (max-width: 760px) {
  .jp-OutputPrompt {
    display: table-row;
    text-align: left;
  }

  .jp-OutputArea-child .jp-OutputArea-output {
    display: table-row;
    margin-left: var(--jp-notebook-padding);
  }
}

/* Trimmed outputs warning */
.jp-TrimmedOutputs > a {
  margin: 10px;
  text-decoration: none;
  cursor: pointer;
}

.jp-TrimmedOutputs > a:hover {
  text-decoration: none;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Table of Contents
|----------------------------------------------------------------------------*/

:root {
  --jp-private-toc-active-width: 4px;
}

.jp-TableOfContents {
  display: flex;
  flex-direction: column;
  background: var(--jp-layout-color1);
  color: var(--jp-ui-font-color1);
  font-size: var(--jp-ui-font-size1);
  height: 100%;
}

.jp-TableOfContents-placeholder {
  text-align: center;
}

.jp-TableOfContents-placeholderContent {
  color: var(--jp-content-font-color2);
  padding: 8px;
}

.jp-TableOfContents-placeholderContent > h3 {
  margin-bottom: var(--jp-content-heading-margin-bottom);
}

.jp-TableOfContents .jp-SidePanel-content {
  overflow-y: auto;
}

.jp-TableOfContents-tree {
  margin: 4px;
}

.jp-TableOfContents ol {
  list-style-type: none;
}

/* stylelint-disable-next-line selector-max-type */
.jp-TableOfContents li > ol {
  /* Align left border with triangle icon center */
  padding-left: 11px;
}

.jp-TableOfContents-content {
  /* left margin for the active heading indicator */
  margin: 0 0 0 var(--jp-private-toc-active-width);
  padding: 0;
  background-color: var(--jp-layout-color1);
}

.jp-tocItem {
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

.jp-tocItem-heading {
  display: flex;
  cursor: pointer;
}

.jp-tocItem-heading:hover {
  background-color: var(--jp-layout-color2);
}

.jp-tocItem-content {
  display: block;
  padding: 4px 0;
  white-space: nowrap;
  text-overflow: ellipsis;
  overflow-x: hidden;
}

.jp-tocItem-collapser {
  height: 20px;
  margin: 2px 2px 0;
  padding: 0;
  background: none;
  border: none;
  cursor: pointer;
}

.jp-tocItem-collapser:hover {
  background-color: var(--jp-layout-color3);
}

/* Active heading indicator */

.jp-tocItem-heading::before {
  content: ' ';
  background: transparent;
  width: var(--jp-private-toc-active-width);
  height: 24px;
  position: absolute;
  left: 0;
  border-radius: var(--jp-border-radius);
}

.jp-tocItem-heading.jp-tocItem-active::before {
  background-color: var(--jp-brand-color1);
}

.jp-tocItem-heading:hover.jp-tocItem-active::before {
  background: var(--jp-brand-color0);
  opacity: 1;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

.jp-Collapser {
  flex: 0 0 var(--jp-cell-collapser-width);
  padding: 0;
  margin: 0;
  border: none;
  outline: none;
  background: transparent;
  border-radius: var(--jp-border-radius);
  opacity: 1;
}

.jp-Collapser-child {
  display: block;
  width: 100%;
  box-sizing: border-box;

  /* height: 100% doesn't work because the height of its parent is computed from content */
  position: absolute;
  top: 0;
  bottom: 0;
}

/*-----------------------------------------------------------------------------
| Printing
|----------------------------------------------------------------------------*/

/*
Hiding collapsers in print mode.

Note: input and output wrappers have "display: block" propery in print mode.
*/

@media print {
  .jp-Collapser {
    display: none;
  }
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Header/Footer
|----------------------------------------------------------------------------*/

/* Hidden by zero height by default */
.jp-CellHeader,
.jp-CellFooter {
  height: 0;
  width: 100%;
  padding: 0;
  margin: 0;
  border: none;
  outline: none;
  background: transparent;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Input
|----------------------------------------------------------------------------*/

/* All input areas */
.jp-InputArea {
  display: table;
  table-layout: fixed;
  width: 100%;
  overflow: hidden;
}

.jp-InputArea-editor {
  display: table-cell;
  overflow: hidden;
  vertical-align: top;

  /* This is the non-active, default styling */
  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
  border-radius: 0;
  background: var(--jp-cell-editor-background);
}

.jp-InputPrompt {
  display: table-cell;
  vertical-align: top;
  width: var(--jp-cell-prompt-width);
  color: var(--jp-cell-inprompt-font-color);
  font-family: var(--jp-cell-prompt-font-family);
  padding: var(--jp-code-padding);
  letter-spacing: var(--jp-cell-prompt-letter-spacing);
  opacity: var(--jp-cell-prompt-opacity);
  line-height: var(--jp-code-line-height);
  font-size: var(--jp-code-font-size);
  border: var(--jp-border-width) solid transparent;

  /* Right align prompt text, don't wrap to handle large prompt numbers */
  text-align: right;
  white-space: nowrap;
  overflow: hidden;
  text-overflow: ellipsis;

  /* Disable text selection */
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

/*-----------------------------------------------------------------------------
| Mobile
|----------------------------------------------------------------------------*/
@media only screen and (max-width: 760px) {
  .jp-InputArea-editor {
    display: table-row;
    margin-left: var(--jp-notebook-padding);
  }

  .jp-InputPrompt {
    display: table-row;
    text-align: left;
  }
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Placeholder
|----------------------------------------------------------------------------*/

.jp-Placeholder {
  display: table;
  table-layout: fixed;
  width: 100%;
}

.jp-Placeholder-prompt {
  display: table-cell;
  box-sizing: border-box;
}

.jp-Placeholder-content {
  display: table-cell;
  padding: 4px 6px;
  border: 1px solid transparent;
  border-radius: 0;
  background: none;
  box-sizing: border-box;
  cursor: pointer;
}

.jp-Placeholder-contentContainer {
  display: flex;
}

.jp-Placeholder-content:hover,
.jp-InputPlaceholder > .jp-Placeholder-content:hover {
  border-color: var(--jp-layout-color3);
}

.jp-Placeholder-content .jp-MoreHorizIcon {
  width: 32px;
  height: 16px;
  border: 1px solid transparent;
  border-radius: var(--jp-border-radius);
}

.jp-Placeholder-content .jp-MoreHorizIcon:hover {
  border: 1px solid var(--jp-border-color1);
  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
  background-color: var(--jp-layout-color0);
}

.jp-PlaceholderText {
  white-space: nowrap;
  overflow-x: hidden;
  color: var(--jp-inverse-layout-color3);
  font-family: var(--jp-code-font-family);
}

.jp-InputPlaceholder > .jp-Placeholder-content {
  border-color: var(--jp-cell-editor-border-color);
  background: var(--jp-cell-editor-background);
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Private CSS variables
|----------------------------------------------------------------------------*/

:root {
  --jp-private-cell-scrolling-output-offset: 5px;
}

/*-----------------------------------------------------------------------------
| Cell
|----------------------------------------------------------------------------*/

.jp-Cell {
  padding: var(--jp-cell-padding);
  margin: 0;
  border: none;
  outline: none;
  background: transparent;
}

/*-----------------------------------------------------------------------------
| Common input/output
|----------------------------------------------------------------------------*/

.jp-Cell-inputWrapper,
.jp-Cell-outputWrapper {
  display: flex;
  flex-direction: row;
  padding: 0;
  margin: 0;

  /* Added to reveal the box-shadow on the input and output collapsers. */
  overflow: visible;
}

/* Only input/output areas inside cells */
.jp-Cell-inputArea,
.jp-Cell-outputArea {
  flex: 1 1 auto;
}

/*-----------------------------------------------------------------------------
| Collapser
|----------------------------------------------------------------------------*/

/* Make the output collapser disappear when there is not output, but do so
 * in a manner that leaves it in the layout and preserves its width.
 */
.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
  border: none !important;
  background: transparent !important;
}

.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
  min-height: var(--jp-cell-collapser-min-height);
}

/*-----------------------------------------------------------------------------
| Output
|----------------------------------------------------------------------------*/

/* Put a space between input and output when there IS output */
.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
  margin-top: 5px;
}

.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
  overflow-y: auto;
  max-height: 24em;
  margin-left: var(--jp-private-cell-scrolling-output-offset);
  resize: vertical;
}

.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
  max-height: unset;
}

.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
  content: ' ';
  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
  width: 100%;
  height: 100%;
  position: sticky;
  bottom: 0;
  top: 0;
  margin-top: -50%;
  float: left;
  display: block;
  pointer-events: none;
}

.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
  padding-top: 6px;
}

.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
  width: calc(
    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
  );
}

.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
}

/*-----------------------------------------------------------------------------
| CodeCell
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| MarkdownCell
|----------------------------------------------------------------------------*/

.jp-MarkdownOutput {
  display: table-cell;
  width: 100%;
  margin-top: 0;
  margin-bottom: 0;
  padding-left: var(--jp-code-padding);
}

.jp-MarkdownOutput.jp-RenderedHTMLCommon {
  overflow: auto;
}

/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
.jp-collapseHeadingButton {
  display: flex;
  min-height: var(--jp-cell-collapser-min-height);
  font-size: var(--jp-code-font-size);
  position: absolute;
  background-color: transparent;
  background-size: 25px;
  background-repeat: no-repeat;
  background-position-x: center;
  background-position-y: top;
  background-image: var(--jp-icon-caret-down);
  right: 0;
  top: 0;
  bottom: 0;
}

.jp-collapseHeadingButton.jp-mod-collapsed {
  background-image: var(--jp-icon-caret-right);
}

/*
 set the container font size to match that of content
 so that the nested collapse buttons have the right size
*/
.jp-MarkdownCell .jp-InputPrompt {
  font-size: var(--jp-content-font-size1);
}

/*
  Align collapseHeadingButton with cell top header
  The font sizes are identical to the ones in packages/rendermime/style/base.css
*/
.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
  font-size: var(--jp-content-font-size5);
  background-position-y: calc(0.3 * var(--jp-content-font-size5));
}

.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
  font-size: var(--jp-content-font-size4);
  background-position-y: calc(0.3 * var(--jp-content-font-size4));
}

.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
  font-size: var(--jp-content-font-size3);
  background-position-y: calc(0.3 * var(--jp-content-font-size3));
}

.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
  font-size: var(--jp-content-font-size2);
  background-position-y: calc(0.3 * var(--jp-content-font-size2));
}

.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
  font-size: var(--jp-content-font-size1);
  background-position-y: top;
}

.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
  font-size: var(--jp-content-font-size0);
  background-position-y: top;
}

/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
  display: none;
}

.jp-Notebook.jp-mod-showHiddenCellsButton
  :is(.jp-MarkdownCell:hover, .jp-mod-active)
  .jp-collapseHeadingButton {
  display: flex;
}

/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
  margin-top: var(--jp-code-padding);
  border: 1px solid var(--jp-border-color2);
  background-color: var(--jp-border-color3) !important;
  color: var(--jp-content-font-color0) !important;
  display: flex;
}

.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
  background-color: var(--jp-border-color2) !important;
}

.jp-showHiddenCellsButton {
  display: none;
}

/*-----------------------------------------------------------------------------
| Printing
|----------------------------------------------------------------------------*/

/*
Using block instead of flex to allow the use of the break-inside CSS property for
cell outputs.
*/

@media print {
  .jp-Cell-inputWrapper,
  .jp-Cell-outputWrapper {
    display: block;
  }
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Variables
|----------------------------------------------------------------------------*/

:root {
  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
}

/*-----------------------------------------------------------------------------

/*-----------------------------------------------------------------------------
| Styles
|----------------------------------------------------------------------------*/

.jp-NotebookPanel-toolbar {
  padding: var(--jp-notebook-toolbar-padding);

  /* disable paint containment from lumino 2.0 default strict CSS containment */
  contain: style size !important;
}

.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
  border: none;
  box-shadow: none;
}

.jp-Notebook-toolbarCellTypeDropdown select {
  height: 24px;
  font-size: var(--jp-ui-font-size1);
  line-height: 14px;
  border-radius: 0;
  display: block;
}

.jp-Notebook-toolbarCellTypeDropdown span {
  top: 5px !important;
}

.jp-Toolbar-responsive-popup {
  position: absolute;
  height: fit-content;
  display: flex;
  flex-direction: row;
  flex-wrap: wrap;
  justify-content: flex-end;
  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
  box-shadow: var(--jp-toolbar-box-shadow);
  background: var(--jp-toolbar-background);
  min-height: var(--jp-toolbar-micro-height);
  padding: var(--jp-notebook-toolbar-padding);
  z-index: 1;
  right: 0;
  top: 0;
}

.jp-Toolbar > .jp-Toolbar-responsive-opener {
  margin-left: auto;
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Variables
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------

/*-----------------------------------------------------------------------------
| Styles
|----------------------------------------------------------------------------*/

.jp-Notebook-ExecutionIndicator {
  position: relative;
  display: inline-block;
  height: 100%;
  z-index: 9997;
}

.jp-Notebook-ExecutionIndicator-tooltip {
  visibility: hidden;
  height: auto;
  width: max-content;
  width: -moz-max-content;
  background-color: var(--jp-layout-color2);
  color: var(--jp-ui-font-color1);
  text-align: justify;
  border-radius: 6px;
  padding: 0 5px;
  position: fixed;
  display: table;
}

.jp-Notebook-ExecutionIndicator-tooltip.up {
  transform: translateX(-50%) translateY(-100%) translateY(-32px);
}

.jp-Notebook-ExecutionIndicator-tooltip.down {
  transform: translateX(calc(-100% + 16px)) translateY(5px);
}

.jp-Notebook-ExecutionIndicator-tooltip.hidden {
  display: none;
}

.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
  visibility: visible;
}

.jp-Notebook-ExecutionIndicator span {
  font-size: var(--jp-ui-font-size1);
  font-family: var(--jp-ui-font-family);
  color: var(--jp-ui-font-color1);
  line-height: 24px;
  display: block;
}

.jp-Notebook-ExecutionIndicator-progress-bar {
  display: flex;
  justify-content: center;
  height: 100%;
}

/*
 * Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

/*
 * Execution indicator
 */
.jp-tocItem-content::after {
  content: '';

  /* Must be identical to form a circle */
  width: 12px;
  height: 12px;
  background: none;
  border: none;
  position: absolute;
  right: 0;
}

.jp-tocItem-content[data-running='0']::after {
  border-radius: 50%;
  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
  background: none;
}

.jp-tocItem-content[data-running='1']::after {
  border-radius: 50%;
  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
  background-color: var(--jp-inverse-layout-color3);
}

.jp-tocItem-content[data-running='0'],
.jp-tocItem-content[data-running='1'] {
  margin-right: 12px;
}

/*
 * Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

.jp-Notebook-footer {
  height: 27px;
  margin-left: calc(
    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
      var(--jp-cell-padding)
  );
  width: calc(
    100% -
      (
        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
          var(--jp-cell-padding) + var(--jp-cell-padding)
      )
  );
  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
  color: var(--jp-ui-font-color3);
  margin-top: 6px;
  background: none;
  cursor: pointer;
}

.jp-Notebook-footer:focus {
  border-color: var(--jp-cell-editor-active-border-color);
}

/* For devices that support hovering, hide footer until hover */
@media (hover: hover) {
  .jp-Notebook-footer {
    opacity: 0;
  }

  .jp-Notebook-footer:focus,
  .jp-Notebook-footer:hover {
    opacity: 1;
  }
}

/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| Imports
|----------------------------------------------------------------------------*/

/*-----------------------------------------------------------------------------
| CSS variables
|----------------------------------------------------------------------------*/

:root {
  --jp-side-by-side-output-size: 1fr;
  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
  --jp-private-notebook-dragImage-width: 304px;
  --jp-private-notebook-dragImage-height: 36px;
  --jp-private-notebook-selected-color: var(--md-blue-400);
  --jp-private-notebook-active-color: var(--md-green-400);
}

/*-----------------------------------------------------------------------------
| Notebook
|----------------------------------------------------------------------------*/

/* stylelint-disable selector-max-class */

.jp-NotebookPanel {
  display: block;
  height: 100%;
}

.jp-NotebookPanel.jp-Document {
  min-width: 240px;
  min-height: 120px;
}

.jp-Notebook {
  padding: var(--jp-notebook-padding);
  outline: none;
  overflow: auto;
  background: var(--jp-layout-color0);
}

.jp-Notebook.jp-mod-scrollPastEnd::after {
  display: block;
  content: '';
  min-height: var(--jp-notebook-scroll-padding);
}

.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
  contain: strict;
}

.jp-Notebook .jp-Cell {
  overflow: visible;
}

.jp-Notebook .jp-Cell .jp-InputPrompt {
  cursor: move;
}

/*-----------------------------------------------------------------------------
| Notebook state related styling
|
| The notebook and cells each have states, here are the possibilities:
|
| - Notebook
|   - Command
|   - Edit
| - Cell
|   - None
|   - Active (only one can be active)
|   - Selected (the cells actions are applied to)
|   - Multiselected (when multiple selected, the cursor)
|   - No outputs
|----------------------------------------------------------------------------*/

/* Command or edit modes */

.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
  opacity: var(--jp-cell-prompt-not-active-opacity);
  color: var(--jp-cell-prompt-not-active-font-color);
}

.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
  opacity: var(--jp-cell-prompt-not-active-opacity);
  color: var(--jp-cell-prompt-not-active-font-color);
}

/* cell is active */
.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
  background: var(--jp-brand-color1);
}

/* cell is dirty */
.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
  color: var(--jp-warn-color1);
}

.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
  color: var(--jp-warn-color1);
  content: '•';
}

.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
  background: var(--jp-warn-color1);
}

/* collapser is hovered */
.jp-Notebook .jp-Cell .jp-Collapser:hover {
  box-shadow: var(--jp-elevation-z2);
  background: var(--jp-brand-color1);
  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
}

/* cell is active and collapser is hovered */
.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
  background: var(--jp-brand-color0);
  opacity: 1;
}

/* Command mode */

.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
  background: var(--jp-notebook-multiselected-color);
}

.jp-Notebook.jp-mod-commandMode
  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
  background: transparent;
}

/* Edit mode */

.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
  box-shadow: var(--jp-input-box-shadow);
  background-color: var(--jp-cell-editor-active-background);
}

/*-----------------------------------------------------------------------------
| Notebook drag and drop
|----------------------------------------------------------------------------*/

.jp-Notebook-cell.jp-mod-dropSource {
  opacity: 0.5;
}

.jp-Notebook-cell.jp-mod-dropTarget,
.jp-Notebook.jp-mod-commandMode
  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
  border-top-color: var(--jp-private-notebook-selected-color);
  border-top-style: solid;
  border-top-width: 2px;
}

.jp-dragImage {
  display: block;
  flex-direction: row;
  width: var(--jp-private-notebook-dragImage-width);
  height: var(--jp-private-notebook-dragImage-height);
  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
  background: var(--jp-cell-editor-background);
  overflow: visible;
}

.jp-dragImage-singlePrompt {
  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
}

.jp-dragImage .jp-dragImage-content {
  flex: 1 1 auto;
  z-index: 2;
  font-size: var(--jp-code-font-size);
  font-family: var(--jp-code-font-family);
  line-height: var(--jp-code-line-height);
  padding: var(--jp-code-padding);
  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
  background: var(--jp-cell-editor-background-color);
  color: var(--jp-content-font-color3);
  text-align: left;
  margin: 4px 4px 4px 0;
}

.jp-dragImage .jp-dragImage-prompt {
  flex: 0 0 auto;
  min-width: 36px;
  color: var(--jp-cell-inprompt-font-color);
  padding: var(--jp-code-padding);
  padding-left: 12px;
  font-family: var(--jp-cell-prompt-font-family);
  letter-spacing: var(--jp-cell-prompt-letter-spacing);
  line-height: 1.9;
  font-size: var(--jp-code-font-size);
  border: var(--jp-border-width) solid transparent;
}

.jp-dragImage-multipleBack {
  z-index: -1;
  position: absolute;
  height: 32px;
  width: 300px;
  top: 8px;
  left: 8px;
  background: var(--jp-layout-color2);
  border: var(--jp-border-width) solid var(--jp-input-border-color);
  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
}

/*-----------------------------------------------------------------------------
| Cell toolbar
|----------------------------------------------------------------------------*/

.jp-NotebookTools {
  display: block;
  min-width: var(--jp-sidebar-min-width);
  color: var(--jp-ui-font-color1);
  background: var(--jp-layout-color1);

  /* This is needed so that all font sizing of children done in ems is
    * relative to this base size */
  font-size: var(--jp-ui-font-size1);
  overflow: auto;
}

.jp-ActiveCellTool {
  padding: 12px 0;
  display: flex;
}

.jp-ActiveCellTool-Content {
  flex: 1 1 auto;
}

.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
  background: var(--jp-cell-editor-background);
  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
  border-radius: 0;
  min-height: 29px;
}

.jp-ActiveCellTool .jp-InputPrompt {
  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
}

.jp-ActiveCellTool-CellContent > pre {
  padding: 5px 4px;
  margin: 0;
  white-space: normal;
}

.jp-MetadataEditorTool {
  flex-direction: column;
  padding: 12px 0;
}

.jp-RankedPanel > :not(:first-child) {
  margin-top: 12px;
}

.jp-KeySelector select.jp-mod-styled {
  font-size: var(--jp-ui-font-size1);
  color: var(--jp-ui-font-color0);
  border: var(--jp-border-width) solid var(--jp-border-color1);
}

.jp-KeySelector label,
.jp-MetadataEditorTool label,
.jp-NumberSetter label {
  line-height: 1.4;
}

.jp-NotebookTools .jp-select-wrapper {
  margin-top: 4px;
  margin-bottom: 0;
}

.jp-NumberSetter input {
  width: 100%;
  margin-top: 4px;
}

.jp-NotebookTools .jp-Collapse {
  margin-top: 16px;
}

/*-----------------------------------------------------------------------------
| Presentation Mode (.jp-mod-presentationMode)
|----------------------------------------------------------------------------*/

.jp-mod-presentationMode .jp-Notebook {
  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
  --jp-code-font-size: var(--jp-code-presentation-font-size);
}

.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
  flex: 0 0 110px;
}

/*-----------------------------------------------------------------------------
| Side-by-side Mode (.jp-mod-sideBySide)
|----------------------------------------------------------------------------*/
.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
  margin-top: 3em;
  margin-bottom: 3em;
  margin-left: 5%;
  margin-right: 5%;
}

.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
  display: grid;
  grid-template-columns: minmax(0, 1fr) min-content minmax(
      0,
      var(--jp-side-by-side-output-size)
    );
  grid-template-rows: auto minmax(0, 1fr) auto;
  grid-template-areas:
    'header header header'
    'input handle output'
    'footer footer footer';
}

.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
  grid-template-columns: minmax(0, 1fr) min-content minmax(
      0,
      var(--jp-side-by-side-resized-cell)
    );
}

.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
  grid-area: header;
}

.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
  grid-area: input;
}

.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
  /* overwrite the default margin (no vertical separation needed in side by side move */
  margin-top: 0;
  grid-area: output;
}

.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
  grid-area: footer;
}

.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
  grid-area: handle;
  user-select: none;
  display: block;
  height: 100%;
  cursor: ew-resize;
  padding: 0 var(--jp-cell-padding);
}

.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
  content: '';
  display: block;
  background: var(--jp-border-color2);
  height: 100%;
  width: 5px;
}

.jp-mod-sideBySide.jp-Notebook
  .jp-CodeCell.jp-mod-resizedCell
  .jp-CellResizeHandle::after {
  background: var(--jp-border-color0);
}

.jp-CellResizeHandle {
  display: none;
}

/*-----------------------------------------------------------------------------
| Placeholder
|----------------------------------------------------------------------------*/

.jp-Cell-Placeholder {
  padding-left: 55px;
}

.jp-Cell-Placeholder-wrapper {
  background: #fff;
  border: 1px solid;
  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
  border-radius: 4px;
  -webkit-border-radius: 4px;
  margin: 10px 15px;
}

.jp-Cell-Placeholder-wrapper-inner {
  padding: 15px;
  position: relative;
}

.jp-Cell-Placeholder-wrapper-body {
  background-repeat: repeat;
  background-size: 50% auto;
}

.jp-Cell-Placeholder-wrapper-body div {
  background: #f6f7f8;
  background-image: -webkit-linear-gradient(
    left,
    #f6f7f8 0%,
    #edeef1 20%,
    #f6f7f8 40%,
    #f6f7f8 100%
  );
  background-repeat: no-repeat;
  background-size: 800px 104px;
  height: 104px;
  position: absolute;
  right: 15px;
  left: 15px;
  top: 15px;
}

div.jp-Cell-Placeholder-h1 {
  top: 20px;
  height: 20px;
  left: 15px;
  width: 150px;
}

div.jp-Cell-Placeholder-h2 {
  left: 15px;
  top: 50px;
  height: 10px;
  width: 100px;
}

div.jp-Cell-Placeholder-content-1,
div.jp-Cell-Placeholder-content-2,
div.jp-Cell-Placeholder-content-3 {
  left: 15px;
  right: 15px;
  height: 10px;
}

div.jp-Cell-Placeholder-content-1 {
  top: 100px;
}

div.jp-Cell-Placeholder-content-2 {
  top: 120px;
}

div.jp-Cell-Placeholder-content-3 {
  top: 140px;
}

</style>
<style type="text/css">
/*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

/*
The following CSS variables define the main, public API for styling JupyterLab.
These variables should be used by all plugins wherever possible. In other
words, plugins should not define custom colors, sizes, etc unless absolutely
necessary. This enables users to change the visual theme of JupyterLab
by changing these variables.

Many variables appear in an ordered sequence (0,1,2,3). These sequences
are designed to work well together, so for example, `--jp-border-color1` should
be used with `--jp-layout-color1`. The numbers have the following meanings:

* 0: super-primary, reserved for special emphasis
* 1: primary, most important under normal situations
* 2: secondary, next most important under normal situations
* 3: tertiary, next most important under normal situations

Throughout JupyterLab, we are mostly following principles from Google's
Material Design when selecting colors. We are not, however, following
all of MD as it is not optimized for dense, information rich UIs.
*/

:root {
  /* Elevation
   *
   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
   *
   * https://github.com/material-components/material-components-web
   * https://material-components-web.appspot.com/elevation.html
   */

  --jp-shadow-base-lightness: 0;
  --jp-shadow-umbra-color: rgba(
    var(--jp-shadow-base-lightness),
    var(--jp-shadow-base-lightness),
    var(--jp-shadow-base-lightness),
    0.2
  );
  --jp-shadow-penumbra-color: rgba(
    var(--jp-shadow-base-lightness),
    var(--jp-shadow-base-lightness),
    var(--jp-shadow-base-lightness),
    0.14
  );
  --jp-shadow-ambient-color: rgba(
    var(--jp-shadow-base-lightness),
    var(--jp-shadow-base-lightness),
    var(--jp-shadow-base-lightness),
    0.12
  );
  --jp-elevation-z0: none;
  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
    0 1px 1px 0 var(--jp-shadow-penumbra-color),
    0 1px 3px 0 var(--jp-shadow-ambient-color);
  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
    0 2px 2px 0 var(--jp-shadow-penumbra-color),
    0 1px 5px 0 var(--jp-shadow-ambient-color);
  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
    0 4px 5px 0 var(--jp-shadow-penumbra-color),
    0 1px 10px 0 var(--jp-shadow-ambient-color);
  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
    0 6px 10px 0 var(--jp-shadow-penumbra-color),
    0 1px 18px 0 var(--jp-shadow-ambient-color);
  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
    0 8px 10px 1px var(--jp-shadow-penumbra-color),
    0 3px 14px 2px var(--jp-shadow-ambient-color);
  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
    0 12px 17px 2px var(--jp-shadow-penumbra-color),
    0 5px 22px 4px var(--jp-shadow-ambient-color);
  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
    0 16px 24px 2px var(--jp-shadow-penumbra-color),
    0 6px 30px 5px var(--jp-shadow-ambient-color);
  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
    0 20px 31px 3px var(--jp-shadow-penumbra-color),
    0 8px 38px 7px var(--jp-shadow-ambient-color);
  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
    0 24px 38px 3px var(--jp-shadow-penumbra-color),
    0 9px 46px 8px var(--jp-shadow-ambient-color);

  /* Borders
   *
   * The following variables, specify the visual styling of borders in JupyterLab.
   */

  --jp-border-width: 1px;
  --jp-border-color0: var(--md-grey-400);
  --jp-border-color1: var(--md-grey-400);
  --jp-border-color2: var(--md-grey-300);
  --jp-border-color3: var(--md-grey-200);
  --jp-inverse-border-color: var(--md-grey-600);
  --jp-border-radius: 2px;

  /* UI Fonts
   *
   * The UI font CSS variables are used for the typography all of the JupyterLab
   * user interface elements that are not directly user generated content.
   *
   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
   * is applied to a parent element. When children elements, such as headings, are sized
   * in em all things will be computed relative to that body size.
   */

  --jp-ui-font-scale-factor: 1.2;
  --jp-ui-font-size0: 0.83333em;
  --jp-ui-font-size1: 13px; /* Base font size */
  --jp-ui-font-size2: 1.2em;
  --jp-ui-font-size3: 1.44em;
  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
    'Segoe UI Symbol';

  /*
   * Use these font colors against the corresponding main layout colors.
   * In a light theme, these go from dark to light.
   */

  /* Defaults use Material Design specification */
  --jp-ui-font-color0: rgba(0, 0, 0, 1);
  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);

  /*
   * Use these against the brand/accent/warn/error colors.
   * These will typically go from light to darker, in both a dark and light theme.
   */

  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);

  /* Content Fonts
   *
   * Content font variables are used for typography of user generated content.
   *
   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
   * is applied to a parent element. When children elements, such as headings, are sized
   * in em all things will be computed relative to that body size.
   */

  --jp-content-line-height: 1.6;
  --jp-content-font-scale-factor: 1.2;
  --jp-content-font-size0: 0.83333em;
  --jp-content-font-size1: 14px; /* Base font size */
  --jp-content-font-size2: 1.2em;
  --jp-content-font-size3: 1.44em;
  --jp-content-font-size4: 1.728em;
  --jp-content-font-size5: 2.0736em;

  /* This gives a magnification of about 125% in presentation mode over normal. */
  --jp-content-presentation-font-size1: 17px;
  --jp-content-heading-line-height: 1;
  --jp-content-heading-margin-top: 1.2em;
  --jp-content-heading-margin-bottom: 0.8em;
  --jp-content-heading-font-weight: 500;

  /* Defaults use Material Design specification */
  --jp-content-font-color0: rgba(0, 0, 0, 1);
  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
  --jp-content-link-color: var(--md-blue-900);
  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
    'Segoe UI Emoji', 'Segoe UI Symbol';

  /*
   * Code Fonts
   *
   * Code font variables are used for typography of code and other monospaces content.
   */

  --jp-code-font-size: 13px;
  --jp-code-line-height: 1.3077; /* 17px for 13px base */
  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
  --jp-code-font-family: var(--jp-code-font-family-default);

  /* This gives a magnification of about 125% in presentation mode over normal. */
  --jp-code-presentation-font-size: 16px;

  /* may need to tweak cursor width if you change font size */
  --jp-code-cursor-width0: 1.4px;
  --jp-code-cursor-width1: 2px;
  --jp-code-cursor-width2: 4px;

  /* Layout
   *
   * The following are the main layout colors use in JupyterLab. In a light
   * theme these would go from light to dark.
   */

  --jp-layout-color0: white;
  --jp-layout-color1: white;
  --jp-layout-color2: var(--md-grey-200);
  --jp-layout-color3: var(--md-grey-400);
  --jp-layout-color4: var(--md-grey-600);

  /* Inverse Layout
   *
   * The following are the inverse layout colors use in JupyterLab. In a light
   * theme these would go from dark to light.
   */

  --jp-inverse-layout-color0: #111;
  --jp-inverse-layout-color1: var(--md-grey-900);
  --jp-inverse-layout-color2: var(--md-grey-800);
  --jp-inverse-layout-color3: var(--md-grey-700);
  --jp-inverse-layout-color4: var(--md-grey-600);

  /* Brand/accent */

  --jp-brand-color0: var(--md-blue-900);
  --jp-brand-color1: var(--md-blue-700);
  --jp-brand-color2: var(--md-blue-300);
  --jp-brand-color3: var(--md-blue-100);
  --jp-brand-color4: var(--md-blue-50);
  --jp-accent-color0: var(--md-green-900);
  --jp-accent-color1: var(--md-green-700);
  --jp-accent-color2: var(--md-green-300);
  --jp-accent-color3: var(--md-green-100);

  /* State colors (warn, error, success, info) */

  --jp-warn-color0: var(--md-orange-900);
  --jp-warn-color1: var(--md-orange-700);
  --jp-warn-color2: var(--md-orange-300);
  --jp-warn-color3: var(--md-orange-100);
  --jp-error-color0: var(--md-red-900);
  --jp-error-color1: var(--md-red-700);
  --jp-error-color2: var(--md-red-300);
  --jp-error-color3: var(--md-red-100);
  --jp-success-color0: var(--md-green-900);
  --jp-success-color1: var(--md-green-700);
  --jp-success-color2: var(--md-green-300);
  --jp-success-color3: var(--md-green-100);
  --jp-info-color0: var(--md-cyan-900);
  --jp-info-color1: var(--md-cyan-700);
  --jp-info-color2: var(--md-cyan-300);
  --jp-info-color3: var(--md-cyan-100);

  /* Cell specific styles */

  --jp-cell-padding: 5px;
  --jp-cell-collapser-width: 8px;
  --jp-cell-collapser-min-height: 20px;
  --jp-cell-collapser-not-active-hover-opacity: 0.6;
  --jp-cell-editor-background: var(--md-grey-100);
  --jp-cell-editor-border-color: var(--md-grey-300);
  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
  --jp-cell-editor-active-background: var(--jp-layout-color0);
  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
  --jp-cell-prompt-width: 64px;
  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
  --jp-cell-prompt-letter-spacing: 0;
  --jp-cell-prompt-opacity: 1;
  --jp-cell-prompt-not-active-opacity: 0.5;
  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);

  /* A custom blend of MD grey and blue 600
   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
  --jp-cell-inprompt-font-color: #307fc1;

  /* A custom blend of MD grey and orange 600
   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
  --jp-cell-outprompt-font-color: #bf5b3d;

  /* Notebook specific styles */

  --jp-notebook-padding: 10px;
  --jp-notebook-select-background: var(--jp-layout-color1);
  --jp-notebook-multiselected-color: var(--md-blue-50);

  /* The scroll padding is calculated to fill enough space at the bottom of the
  notebook to show one single-line cell (with appropriate padding) at the top
  when the notebook is scrolled all the way to the bottom. We also subtract one
  pixel so that no scrollbar appears if we have just one single-line cell in the
  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
  */
  --jp-notebook-scroll-padding: calc(
    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
  );

  /* Rendermime styles */

  --jp-rendermime-error-background: #fdd;
  --jp-rendermime-table-row-background: var(--md-grey-100);
  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);

  /* Dialog specific styles */

  --jp-dialog-background: rgba(0, 0, 0, 0.25);

  /* Console specific styles */

  --jp-console-padding: 10px;

  /* Toolbar specific styles */

  --jp-toolbar-border-color: var(--jp-border-color1);
  --jp-toolbar-micro-height: 8px;
  --jp-toolbar-background: var(--jp-layout-color1);
  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
  --jp-toolbar-header-margin: 4px 4px 0 4px;
  --jp-toolbar-active-background: var(--md-grey-300);

  /* Statusbar specific styles */

  --jp-statusbar-height: 24px;

  /* Input field styles */

  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
  --jp-input-active-background: var(--jp-layout-color1);
  --jp-input-hover-background: var(--jp-layout-color1);
  --jp-input-background: var(--md-grey-100);
  --jp-input-border-color: var(--jp-inverse-border-color);
  --jp-input-active-border-color: var(--jp-brand-color1);
  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);

  /* General editor styles */

  --jp-editor-selected-background: #d9d9d9;
  --jp-editor-selected-focused-background: #d7d4f0;
  --jp-editor-cursor-color: var(--jp-ui-font-color0);

  /* Code mirror specific styles */

  --jp-mirror-editor-keyword-color: #008000;
  --jp-mirror-editor-atom-color: #88f;
  --jp-mirror-editor-number-color: #080;
  --jp-mirror-editor-def-color: #00f;
  --jp-mirror-editor-variable-color: var(--md-grey-900);
  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
  --jp-mirror-editor-variable-3-color: #085;
  --jp-mirror-editor-punctuation-color: #05a;
  --jp-mirror-editor-property-color: #05a;
  --jp-mirror-editor-operator-color: #a2f;
  --jp-mirror-editor-comment-color: #408080;
  --jp-mirror-editor-string-color: #ba2121;
  --jp-mirror-editor-string-2-color: #708;
  --jp-mirror-editor-meta-color: #a2f;
  --jp-mirror-editor-qualifier-color: #555;
  --jp-mirror-editor-builtin-color: #008000;
  --jp-mirror-editor-bracket-color: #997;
  --jp-mirror-editor-tag-color: #170;
  --jp-mirror-editor-attribute-color: #00c;
  --jp-mirror-editor-header-color: blue;
  --jp-mirror-editor-quote-color: #090;
  --jp-mirror-editor-link-color: #00c;
  --jp-mirror-editor-error-color: #f00;
  --jp-mirror-editor-hr-color: #999;

  /*
    RTC user specific colors.
    These colors are used for the cursor, username in the editor,
    and the icon of the user.
  */

  --jp-collaborator-color1: #ffad8e;
  --jp-collaborator-color2: #dac83d;
  --jp-collaborator-color3: #72dd76;
  --jp-collaborator-color4: #00e4d0;
  --jp-collaborator-color5: #45d4ff;
  --jp-collaborator-color6: #e2b1ff;
  --jp-collaborator-color7: #ff9de6;

  /* Vega extension styles */

  --jp-vega-background: white;

  /* Sidebar-related styles */

  --jp-sidebar-min-width: 250px;

  /* Search-related styles */

  --jp-search-toggle-off-opacity: 0.5;
  --jp-search-toggle-hover-opacity: 0.8;
  --jp-search-toggle-on-opacity: 1;
  --jp-search-selected-match-background-color: rgb(245, 200, 0);
  --jp-search-selected-match-color: black;
  --jp-search-unselected-match-background-color: var(
    --jp-inverse-layout-color0
  );
  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);

  /* Icon colors that work well with light or dark backgrounds */
  --jp-icon-contrast-color0: var(--md-purple-600);
  --jp-icon-contrast-color1: var(--md-green-600);
  --jp-icon-contrast-color2: var(--md-pink-600);
  --jp-icon-contrast-color3: var(--md-blue-600);

  /* Button colors */
  --jp-accept-color-normal: var(--md-blue-700);
  --jp-accept-color-hover: var(--md-blue-800);
  --jp-accept-color-active: var(--md-blue-900);
  --jp-warn-color-normal: var(--md-red-700);
  --jp-warn-color-hover: var(--md-red-800);
  --jp-warn-color-active: var(--md-red-900);
  --jp-reject-color-normal: var(--md-grey-600);
  --jp-reject-color-hover: var(--md-grey-700);
  --jp-reject-color-active: var(--md-grey-800);

  /* File or activity icons and switch semantic variables */
  --jp-jupyter-icon-color: #f37626;
  --jp-notebook-icon-color: #f37626;
  --jp-json-icon-color: var(--md-orange-700);
  --jp-console-icon-background-color: var(--md-blue-700);
  --jp-console-icon-color: white;
  --jp-terminal-icon-background-color: var(--md-grey-800);
  --jp-terminal-icon-color: var(--md-grey-200);
  --jp-text-editor-icon-color: var(--md-grey-700);
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<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">datetime</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">quandl</span>
</pre></div>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">aapl</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">"https://s3.amazonaws.com/assets.datacamp.com/blog_assets/aapl.csv"</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">names</span><span class="o">=</span><span class="p">[</span><span class="s1">'Open'</span><span class="p">,</span> <span class="s1">'High'</span><span class="p">,</span> <span class="s1">'Low'</span><span class="p">,</span> <span class="s1">'Close'</span><span class="p">,</span> <span class="s1">'Volume'</span><span class="p">,</span> <span class="s1">'Adj Close'</span><span class="p">],</span> <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">aapl</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>
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<div class="jp-OutputArea-child jp-OutputArea-executeResult">
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[3]:</div>
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<div>
<style scoped="">
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Open</th>
<th>High</th>
<th>Low</th>
<th>Close</th>
<th>Volume</th>
<th>Adj Close</th>
</tr>
</thead>
<tbody>
<tr>
<th>2006-10-02</th>
<td>75.10</td>
<td>75.87</td>
<td>74.30</td>
<td>74.860001</td>
<td>178159800.0</td>
<td>10.694285</td>
</tr>
<tr>
<th>2006-10-03</th>
<td>74.45</td>
<td>74.95</td>
<td>73.19</td>
<td>74.080002</td>
<td>197677200.0</td>
<td>10.582857</td>
</tr>
<tr>
<th>2006-10-04</th>
<td>74.10</td>
<td>75.46</td>
<td>73.16</td>
<td>75.380005</td>
<td>207270700.0</td>
<td>10.768572</td>
</tr>
<tr>
<th>2006-10-05</th>
<td>74.53</td>
<td>76.16</td>
<td>74.13</td>
<td>74.829994</td>
<td>170970800.0</td>
<td>10.690000</td>
</tr>
<tr>
<th>2006-10-06</th>
<td>74.42</td>
<td>75.04</td>
<td>73.81</td>
<td>74.220001</td>
<td>116739700.0</td>
<td>10.602858</td>
</tr>
</tbody>
</table>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">aapl</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">aapl</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span>
<span class="n">ts</span> <span class="o">=</span> <span class="n">aapl</span><span class="p">[</span><span class="s1">'Close'</span><span class="p">][</span><span class="o">-</span><span class="mi">10</span><span class="p">:]</span>
<span class="nb">type</span><span class="p">(</span><span class="n">ts</span><span class="p">)</span>
</pre></div>
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<pre>DatetimeIndex(['2006-10-02', '2006-10-03', '2006-10-04', '2006-10-05',
               '2006-10-06', '2006-10-09', '2006-10-10', '2006-10-11',
               '2006-10-12', '2006-10-13',
               ...
               '2011-12-16', '2011-12-19', '2011-12-20', '2011-12-21',
               '2011-12-22', '2011-12-23', '2011-12-27', '2011-12-28',
               '2011-12-29', '2011-12-30'],
              dtype='datetime64[ns]', length=1323, freq=None)
Index(['Open', 'High', 'Low', 'Close', 'Volume', 'Adj Close'], dtype='object')
</pre>
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<div class="jp-OutputArea-child jp-OutputArea-executeResult">
<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
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<pre>pandas.core.series.Series</pre>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
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<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">aapl</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">pd</span><span class="o">.</span><span class="n">Timestamp</span><span class="p">(</span><span class="s1">'2006-11-01'</span><span class="p">):</span><span class="n">pd</span><span class="o">.</span><span class="n">Timestamp</span><span class="p">(</span><span class="s1">'2006-12-31'</span><span class="p">)]</span><span class="o">.</span><span class="n">head</span><span class="p">())</span>
<span class="nb">print</span><span class="p">(</span><span class="n">aapl</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2007'</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">())</span>
<span class="nb">print</span><span class="p">(</span><span class="n">aapl</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">22</span><span class="p">:</span><span class="mi">43</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="n">aapl</span><span class="o">.</span><span class="n">iloc</span><span class="p">[[</span><span class="mi">22</span><span class="p">,</span><span class="mi">43</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">]])</span>
</pre></div>
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<pre>             Open   High    Low      Close       Volume  Adj Close
2006-11-01  81.10  81.38  78.36  79.160004  152798100.0  11.308572
2006-11-02  78.92  79.32  78.50  78.979996  116370800.0  11.282857
2006-11-03  79.36  79.53  77.79  78.290001  107972200.0  11.184286
2006-11-06  78.95  80.06  78.43  79.709999  108644200.0  11.387143
2006-11-07  80.45  81.00  80.13  80.510002  131483100.0  11.501429
             Open   High    Low      Close       Volume  Adj Close
2007-01-03  86.29  86.58  81.90  83.800003  309579900.0  11.971429
2007-01-04  84.05  85.95  83.82  85.659996  211815100.0  12.237143
2007-01-05  85.77  86.20  84.40  85.049995  208685400.0  12.150000
2007-01-08  85.96  86.53  85.28  85.470001  199276700.0  12.210000
2007-01-09  86.45  92.98  85.15  92.570000  837324600.0  13.224286
             Open   High    Low      Close       Volume  Adj Close
2006-11-01  81.10  81.38  78.36  79.160004  152798100.0  11.308572
2006-11-02  78.92  79.32  78.50  78.979996  116370800.0  11.282857
2006-11-03  79.36  79.53  77.79  78.290001  107972200.0  11.184286
2006-11-06  78.95  80.06  78.43  79.709999  108644200.0  11.387143
2006-11-07  80.45  81.00  80.13  80.510002  131483100.0  11.501429
2006-11-08  80.02  82.69  79.89  82.449997  172729200.0  11.778571
2006-11-09  82.90  84.69  82.12  83.339996  230763400.0  11.905714
2006-11-10  83.55  83.60  82.50  83.120003   93466100.0  11.874286
2006-11-13  83.22  84.45  82.64  84.349998  112668500.0  12.050000
2006-11-14  84.80  85.00  83.90  85.000000  147238700.0  12.142858
2006-11-15  85.05  85.90  84.00  84.050003  163830800.0  12.007143
2006-11-16  84.87  86.30  84.62  85.610001  173485200.0  12.230000
2006-11-17  85.14  85.94  85.00  85.850006  116606000.0  12.264286
2006-11-20  85.40  87.00  85.20  86.470001  142698500.0  12.352858
2006-11-21  87.42  88.60  87.11  88.599998  155666700.0  12.657143
2006-11-22  88.99  90.75  87.85  90.309998  167985300.0  12.901428
2006-11-24  89.53  93.08  89.50  91.630005  129669400.0  13.090000
2006-11-27  92.51  93.16  89.50  89.540001  268709000.0  12.791429
2006-11-28  90.36  91.97  89.91  91.809998  259043400.0  13.115714
2006-11-29  93.00  93.15  90.25  91.799995  289270800.0  13.114285
2006-11-30  92.21  92.68  91.06  91.660004  217621600.0  13.094286
            Open      Close
2006-11-01  81.1  79.160004
2006-12-01  91.8  91.320000
</pre>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">sample</span> <span class="o">=</span> <span class="n">aapl</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">20</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">sample</span><span class="p">)</span>
<span class="n">monthly_aapl</span> <span class="o">=</span> <span class="n">aapl</span><span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">'M'</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">monthly_aapl</span><span class="p">)</span>
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<pre>              Open    High     Low       Close       Volume  Adj Close
2008-05-06  184.66  187.12  182.18  186.660004  229717600.0  26.665714
2009-07-22  157.79  158.73  156.11  156.739990  218526000.0  22.391428
2007-08-14  128.29  128.30  123.71  124.029999  184751700.0  17.718571
2010-02-22  202.34  202.50  199.19  200.419998   97640900.0  28.631428
2011-07-13  358.33  360.00  356.38  358.019989   97909700.0  51.145714
2010-10-22  309.07  310.04  306.30  307.470001   93194500.0  43.924286
2008-10-16   99.77  103.43   91.74  101.889999  495130300.0  14.555715
2006-12-29   83.95   85.40   83.36   84.839996  269107300.0  12.120000
2007-07-16  138.39  139.98  137.50  138.099991  234028200.0  19.728571
2010-02-25  197.38  202.86  196.89  202.000000  166281500.0  28.857143
2009-01-21   79.39   82.88   79.31   82.830002  272317500.0  11.832857
2011-04-08  339.92  340.15  333.95  335.059998   94383800.0  47.865715
2009-10-14  192.25  192.32  190.23  191.289993   93877700.0  27.327143
2009-01-08   90.43   93.15   90.04   92.699997  168375200.0  13.242857
2009-09-29  186.73  187.40  184.31  185.380005   86346400.0  26.482857
2010-06-28  266.93  269.75  264.52  268.299988  146237000.0  38.328571
2008-10-09   93.35   95.80   86.60   88.740005  404345900.0  12.677143
2010-08-02  260.44  262.59  259.62  261.850006  107013900.0  37.407143
2008-10-13  104.55  110.53  101.02  110.260002  384769000.0  15.751429
2008-10-14  116.26  116.40  103.14  104.080002  495248600.0  14.868571
DatetimeIndexResampler [freq=&lt;MonthEnd&gt;, axis=0, closed=right, label=right, convention=start, origin=start_day]
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<pre>C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\3751154195.py:3: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
  monthly_aapl = aapl.resample('M')
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">aapl</span><span class="p">[</span><span class="s1">'diff'</span><span class="p">]</span> <span class="o">=</span> <span class="n">aapl</span><span class="o">.</span><span class="n">Open</span> <span class="o">-</span> <span class="n">aapl</span><span class="o">.</span><span class="n">Close</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="k">del</span> <span class="n">aapl</span><span class="p">[</span><span class="s1">'diff'</span><span class="p">]</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">aapl</span><span class="p">[</span><span class="s1">'Close'</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">grid</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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"/>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">daily_close</span> <span class="o">=</span> <span class="n">aapl</span><span class="p">[[</span><span class="s1">'Adj Close'</span><span class="p">]]</span>
<span class="n">daily_pct_c</span> <span class="o">=</span> <span class="n">daily_close</span><span class="o">.</span><span class="n">pct_change</span><span class="p">()</span>
<span class="n">daily_pct_c</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">daily_pct_c</span><span class="p">)</span>
<span class="n">daily_log_returns</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">daily_close</span><span class="o">.</span><span class="n">pct_change</span><span class="p">()</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">daily_log_returns</span><span class="p">)</span>
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<pre>            Adj Close
2006-10-02   0.000000
2006-10-03  -0.010419
2006-10-04   0.017549
2006-10-05  -0.007296
2006-10-06  -0.008152
...               ...
2011-12-23   0.011993
2011-12-27   0.007934
2011-12-28  -0.009569
2011-12-29   0.006159
2011-12-30  -0.000296

[1323 rows x 1 columns]
            Adj Close
2006-10-02        NaN
2006-10-03  -0.010474
2006-10-04   0.017396
2006-10-05  -0.007323
2006-10-06  -0.008185
...               ...
2011-12-23   0.011922
2011-12-27   0.007903
2011-12-28  -0.009615
2011-12-29   0.006140
2011-12-30  -0.000296

[1323 rows x 1 columns]
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<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">monthly</span> <span class="o">=</span> <span class="n">aapl</span><span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">'BM'</span><span class="p">)</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
<span class="n">monthly</span><span class="o">.</span><span class="n">pct_change</span><span class="p">()</span>
<span class="n">quarter</span> <span class="o">=</span> <span class="n">aapl</span><span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">'4M'</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
<span class="n">quarter</span><span class="o">.</span><span class="n">pct_change</span><span class="p">()</span>
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<pre>C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\3368313673.py:1: FutureWarning: 'BM' is deprecated and will be removed in a future version, please use 'BME' instead.
  monthly = aapl.resample('BM').apply(lambda x: x[-1])
C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\3368313673.py:1: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
  monthly = aapl.resample('BM').apply(lambda x: x[-1])
C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\3368313673.py:3: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
  quarter = aapl.resample('4M').mean()
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<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
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<tr style="text-align: right;">
<th></th>
<th>Open</th>
<th>High</th>
<th>Low</th>
<th>Close</th>
<th>Volume</th>
<th>Adj Close</th>
</tr>
</thead>
<tbody>
<tr>
<th>2006-10-31</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2007-02-28</th>
<td>0.125777</td>
<td>0.126451</td>
<td>0.121460</td>
<td>0.122860</td>
<td>0.369611</td>
<td>0.122860</td>
</tr>
<tr>
<th>2007-06-30</th>
<td>0.196030</td>
<td>0.195413</td>
<td>0.198331</td>
<td>0.197735</td>
<td>-0.080296</td>
<td>0.197735</td>
</tr>
<tr>
<th>2007-10-31</th>
<td>0.400961</td>
<td>0.404613</td>
<td>0.392010</td>
<td>0.400796</td>
<td>0.306882</td>
<td>0.400796</td>
</tr>
<tr>
<th>2008-02-29</th>
<td>0.127066</td>
<td>0.130711</td>
<td>0.117746</td>
<td>0.120394</td>
<td>0.172293</td>
<td>0.120394</td>
</tr>
<tr>
<th>2008-06-30</th>
<td>-0.003550</td>
<td>-0.004290</td>
<td>0.005927</td>
<td>0.003673</td>
<td>-0.209762</td>
<td>0.003673</td>
</tr>
<tr>
<th>2008-10-31</th>
<td>-0.114267</td>
<td>-0.108879</td>
<td>-0.124618</td>
<td>-0.118803</td>
<td>0.133219</td>
<td>-0.118803</td>
</tr>
<tr>
<th>2009-02-28</th>
<td>-0.363639</td>
<td>-0.363388</td>
<td>-0.359305</td>
<td>-0.360865</td>
<td>-0.161601</td>
<td>-0.360865</td>
</tr>
<tr>
<th>2009-06-30</th>
<td>0.312134</td>
<td>0.304359</td>
<td>0.324702</td>
<td>0.316588</td>
<td>-0.386935</td>
<td>0.316588</td>
</tr>
<tr>
<th>2009-10-31</th>
<td>0.421239</td>
<td>0.411193</td>
<td>0.425117</td>
<td>0.415901</td>
<td>-0.158270</td>
<td>0.415901</td>
</tr>
<tr>
<th>2010-02-28</th>
<td>0.175612</td>
<td>0.176085</td>
<td>0.172864</td>
<td>0.173693</td>
<td>0.170633</td>
<td>0.173693</td>
</tr>
<tr>
<th>2010-06-30</th>
<td>0.223045</td>
<td>0.223317</td>
<td>0.219063</td>
<td>0.223611</td>
<td>0.203680</td>
<td>0.223611</td>
</tr>
<tr>
<th>2010-10-31</th>
<td>0.094380</td>
<td>0.094268</td>
<td>0.099356</td>
<td>0.096125</td>
<td>-0.157478</td>
<td>0.096125</td>
</tr>
<tr>
<th>2011-02-28</th>
<td>0.221393</td>
<td>0.218082</td>
<td>0.225622</td>
<td>0.221858</td>
<td>-0.230726</td>
<td>0.221858</td>
</tr>
<tr>
<th>2011-06-30</th>
<td>0.034143</td>
<td>0.033863</td>
<td>0.031616</td>
<td>0.031222</td>
<td>-0.043455</td>
<td>0.031222</td>
</tr>
<tr>
<th>2011-10-31</th>
<td>0.127202</td>
<td>0.133189</td>
<td>0.124572</td>
<td>0.130452</td>
<td>0.429821</td>
<td>0.130452</td>
</tr>
<tr>
<th>2012-02-29</th>
<td>0.013755</td>
<td>0.008387</td>
<td>0.016799</td>
<td>0.011002</td>
<td>-0.404723</td>
<td>0.011002</td>
</tr>
</tbody>
</table>
</div>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
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<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-ipython3"><pre><span></span><span class="n">daily_pct_c</span> <span class="o">=</span> <span class="n">daily_close</span> <span class="o">/</span> <span class="n">daily_close</span><span class="o">.</span><span class="n">shift</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
<span class="nb">print</span><span class="p">(</span><span class="n">daily_pct_c</span><span class="p">)</span>
</pre></div>
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<pre>            Adj Close
2006-10-02        NaN
2006-10-03  -0.010419
2006-10-04   0.017549
2006-10-05  -0.007296
2006-10-06  -0.008152
...               ...
2011-12-23   0.011993
2011-12-27   0.007934
2011-12-28  -0.009569
2011-12-29   0.006159
2011-12-30  -0.000296

[1323 rows x 1 columns]
</pre>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div>
<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
<div class="cm-editor cm-s-jupyter">
<div class="highlight hl-ipython3"><pre><span></span><span class="n">daily_pct_c</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">bins</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">daily_pct_c</span><span class="o">.</span><span class="n">describe</span><span class="p">())</span>
</pre></div>
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<img alt="No description has been provided for this image" class="" 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"/>
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<pre>         Adj Close
count  1322.000000
mean      0.001566
std       0.023992
min      -0.179195
25%      -0.010672
50%       0.001677
75%       0.014306
max       0.139050
</pre>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">cum_daily_return</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">daily_pct_c</span><span class="p">)</span><span class="o">.</span><span class="n">cumprod</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">cum_daily_return</span><span class="p">)</span>
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<pre>            Adj Close
2006-10-02        NaN
2006-10-03   0.989581
2006-10-04   1.006946
2006-10-05   0.999599
2006-10-06   0.991451
...               ...
2011-12-23   5.387791
2011-12-27   5.430537
2011-12-28   5.378574
2011-12-29   5.411702
2011-12-30   5.410099

[1323 rows x 1 columns]
</pre>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">cum_daily_return</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>
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"/>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">cum_monthly_return</span> <span class="o">=</span> <span class="n">cum_daily_return</span><span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">'M'</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">cum_monthly_return</span><span class="p">)</span>
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<pre>            Adj Close
2006-10-31   1.031710
2006-11-30   1.140058
2006-12-31   1.155110
2007-01-31   1.187303
2007-02-28   1.145176
...               ...
2011-08-31   5.032897
2011-09-30   5.243032
2011-10-31   5.306305
2011-11-30   5.140466
2011-12-31   5.248871

[63 rows x 1 columns]
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<pre>C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\1748221143.py:1: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead.
  cum_monthly_return = cum_daily_return.resample('M').mean()
</pre>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [18]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">all_data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">"https://s3.amazonaws.com/assets.datacamp.com/blog_assets/all_stock_data.csv"</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">],</span> <span class="n">header</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">parse_dates</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [20]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">daily_close_px</span> <span class="o">=</span> <span class="n">all_data</span><span class="p">[[</span><span class="s1">'Adj Close'</span><span class="p">]]</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span><span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="s1">'Date'</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">'Ticker'</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">'Adj Close'</span><span class="p">)</span>
<span class="n">daily_pct_change</span> <span class="o">=</span> <span class="n">daily_close_px</span><span class="o">.</span><span class="n">pct_change</span><span class="p">()</span>
<span class="n">daily_pct_change</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">bins</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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"/>
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<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">pip</span> install scipy
<span class="kn">import</span><span class="w"> </span><span class="nn">scipy</span>
<span class="n">pd</span><span class="o">.</span><span class="n">plotting</span><span class="o">.</span><span class="n">scatter_matrix</span><span class="p">(</span><span class="n">daily_pct_change</span><span class="p">,</span> <span class="n">diagonal</span><span class="o">=</span><span class="s1">'kde'</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">12</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>Collecting scipy
  Using cached scipy-1.15.1-cp312-cp312-win_amd64.whl.metadata (60 kB)
Requirement already satisfied: numpy&lt;2.5,&gt;=1.23.5 in e:\miniconda3\envs\pythonforfinance\lib\site-packages (from scipy) (2.2.2)
Using cached scipy-1.15.1-cp312-cp312-win_amd64.whl (43.6 MB)
Installing collected packages: scipy
Successfully installed scipy-1.15.1
Note: you may need to restart the kernel to use updated packages.
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<div class="jp-InputPrompt jp-InputArea-prompt">In [25]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">adj_close_px</span> <span class="o">=</span> <span class="n">aapl</span><span class="p">[</span><span class="s1">'Adj Close'</span><span class="p">]</span>
<span class="n">moving_avg</span> <span class="o">=</span> <span class="n">adj_close_px</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="o">=</span><span class="mi">40</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
<span class="n">moving_avg</span><span class="p">[</span><span class="o">-</span><span class="mi">10</span><span class="p">:]</span>
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<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
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<pre>2011-12-16    55.529679
2011-12-19    55.491607
2011-12-20    55.456536
2011-12-21    55.451821
2011-12-22    55.444500
2011-12-23    55.439643
2011-12-27    55.445286
2011-12-28    55.437643
2011-12-29    55.468393
2011-12-30    55.495500
Name: Adj Close, dtype: float64</pre>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [26]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">aapl</span><span class="p">[</span><span class="s1">'42'</span><span class="p">]</span> <span class="o">=</span> <span class="n">adj_close_px</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="o">=</span><span class="mi">40</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
<span class="n">aapl</span><span class="p">[</span><span class="s1">'252'</span><span class="p">]</span> <span class="o">=</span> <span class="n">adj_close_px</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="o">=</span><span class="mi">252</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
<span class="n">aapl</span><span class="p">[[</span><span class="s1">'Adj Close'</span><span class="p">,</span> <span class="s1">'42'</span><span class="p">,</span> <span class="s1">'252'</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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"/>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [27]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="n">min_periods</span> <span class="o">=</span> <span class="mi">75</span>
<span class="n">vol</span> <span class="o">=</span> <span class="n">daily_pct_change</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">min_periods</span><span class="p">)</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">min_periods</span><span class="p">)</span>
<span class="n">vol</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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"/>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [28]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Initialize the short and long windows</span>
<span class="n">short_window</span> <span class="o">=</span> <span class="mi">40</span>
<span class="n">long_window</span> <span class="o">=</span> <span class="mi">100</span>

<span class="c1"># Initialize the `signals` DataFrame with the `signal` column</span>
<span class="n">signals</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="n">aapl</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">signals</span><span class="p">[</span><span class="s1">'signal'</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.0</span>

<span class="c1"># Create short simple moving average over the short window</span>
<span class="n">signals</span><span class="p">[</span><span class="s1">'short_mavg'</span><span class="p">]</span> <span class="o">=</span> <span class="n">aapl</span><span class="p">[</span><span class="s1">'Close'</span><span class="p">]</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="o">=</span><span class="n">short_window</span><span class="p">,</span> <span class="n">min_periods</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">center</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>

<span class="c1"># Create long simple moving average over the long window</span>
<span class="n">signals</span><span class="p">[</span><span class="s1">'long_mavg'</span><span class="p">]</span> <span class="o">=</span> <span class="n">aapl</span><span class="p">[</span><span class="s1">'Close'</span><span class="p">]</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="o">=</span><span class="n">long_window</span><span class="p">,</span> <span class="n">min_periods</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">center</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>

<span class="c1"># Create signals</span>
<span class="n">signals</span><span class="p">[</span><span class="s1">'signal'</span><span class="p">][</span><span class="n">short_window</span><span class="p">:]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">signals</span><span class="p">[</span><span class="s1">'short_mavg'</span><span class="p">][</span><span class="n">short_window</span><span class="p">:]</span> 
                                            <span class="o">&gt;</span> <span class="n">signals</span><span class="p">[</span><span class="s1">'long_mavg'</span><span class="p">][</span><span class="n">short_window</span><span class="p">:],</span> <span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">)</span>   

<span class="c1"># Generate trading orders</span>
<span class="n">signals</span><span class="p">[</span><span class="s1">'positions'</span><span class="p">]</span> <span class="o">=</span> <span class="n">signals</span><span class="p">[</span><span class="s1">'signal'</span><span class="p">]</span><span class="o">.</span><span class="n">diff</span><span class="p">()</span>
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<pre>C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\3080775594.py:16: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!
You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.
A typical example is when you are setting values in a column of a DataFrame, like:

df["col"][row_indexer] = value

Use `df.loc[row_indexer, "col"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

  signals['signal'][short_window:] = np.where(signals['short_mavg'][short_window:]
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<div class="jp-InputPrompt jp-InputArea-prompt">In [29]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Initialize the plot figure</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>

<span class="c1"># Add a subplot and label for y-axis</span>
<span class="n">ax1</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">,</span>  <span class="n">ylabel</span><span class="o">=</span><span class="s1">'Price in $'</span><span class="p">)</span>

<span class="c1"># Plot the closing price</span>
<span class="n">aapl</span><span class="p">[</span><span class="s1">'Close'</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'r'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">2.</span><span class="p">)</span>

<span class="c1"># Plot the short and long moving averages</span>
<span class="n">signals</span><span class="p">[[</span><span class="s1">'short_mavg'</span><span class="p">,</span> <span class="s1">'long_mavg'</span><span class="p">]]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">2.</span><span class="p">)</span>

<span class="c1"># Plot the buy signals</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">signals</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">signals</span><span class="o">.</span><span class="n">positions</span> <span class="o">==</span> <span class="mf">1.0</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> 
         <span class="n">signals</span><span class="o">.</span><span class="n">short_mavg</span><span class="p">[</span><span class="n">signals</span><span class="o">.</span><span class="n">positions</span> <span class="o">==</span> <span class="mf">1.0</span><span class="p">],</span>
         <span class="s1">'^'</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'m'</span><span class="p">)</span>
         
<span class="c1"># Plot the sell signals</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">signals</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">signals</span><span class="o">.</span><span class="n">positions</span> <span class="o">==</span> <span class="o">-</span><span class="mf">1.0</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> 
         <span class="n">signals</span><span class="o">.</span><span class="n">short_mavg</span><span class="p">[</span><span class="n">signals</span><span class="o">.</span><span class="n">positions</span> <span class="o">==</span> <span class="o">-</span><span class="mf">1.0</span><span class="p">],</span>
         <span class="s1">'v'</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">)</span>
         
<span class="c1"># Show the plot</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\3861779541.py:14: UserWarning: This axis already has a converter set and is updating to a potentially incompatible converter
  ax1.plot(signals.loc[signals.positions == 1.0].index,
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"/>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [30]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Set the initial capital</span>
<span class="n">initial_capital</span><span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="mf">100000.0</span><span class="p">)</span>

<span class="c1"># Create a DataFrame `positions`</span>
<span class="n">positions</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="n">signals</span><span class="o">.</span><span class="n">index</span><span class="p">)</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="mf">0.0</span><span class="p">)</span>

<span class="c1"># Buy a 100 shares</span>
<span class="n">positions</span><span class="p">[</span><span class="s1">'AAPL'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">100</span><span class="o">*</span><span class="n">signals</span><span class="p">[</span><span class="s1">'signal'</span><span class="p">]</span>   
  
<span class="c1"># Initialize the portfolio with value owned   </span>
<span class="n">portfolio</span> <span class="o">=</span> <span class="n">positions</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="n">aapl</span><span class="p">[</span><span class="s1">'Adj Close'</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>

<span class="c1"># Store the difference in shares owned </span>
<span class="n">pos_diff</span> <span class="o">=</span> <span class="n">positions</span><span class="o">.</span><span class="n">diff</span><span class="p">()</span>

<span class="c1"># Add `holdings` to portfolio</span>
<span class="n">portfolio</span><span class="p">[</span><span class="s1">'holdings'</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">positions</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="n">aapl</span><span class="p">[</span><span class="s1">'Adj Close'</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">))</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="c1"># Add `cash` to portfolio</span>
<span class="n">portfolio</span><span class="p">[</span><span class="s1">'cash'</span><span class="p">]</span> <span class="o">=</span> <span class="n">initial_capital</span> <span class="o">-</span> <span class="p">(</span><span class="n">pos_diff</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="n">aapl</span><span class="p">[</span><span class="s1">'Adj Close'</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">))</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">cumsum</span><span class="p">()</span>   

<span class="c1"># Add `total` to portfolio</span>
<span class="n">portfolio</span><span class="p">[</span><span class="s1">'total'</span><span class="p">]</span> <span class="o">=</span> <span class="n">portfolio</span><span class="p">[</span><span class="s1">'cash'</span><span class="p">]</span> <span class="o">+</span> <span class="n">portfolio</span><span class="p">[</span><span class="s1">'holdings'</span><span class="p">]</span>

<span class="c1"># Add `returns` to portfolio</span>
<span class="n">portfolio</span><span class="p">[</span><span class="s1">'returns'</span><span class="p">]</span> <span class="o">=</span> <span class="n">portfolio</span><span class="p">[</span><span class="s1">'total'</span><span class="p">]</span><span class="o">.</span><span class="n">pct_change</span><span class="p">()</span>
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<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>

<span class="n">ax1</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'Portfolio value in $'</span><span class="p">)</span>

<span class="c1"># Plot the equity curve in dollars</span>
<span class="n">portfolio</span><span class="p">[</span><span class="s1">'total'</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">2.</span><span class="p">)</span>

<span class="c1"># Plot the "buy" trades against the equity curve</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">portfolio</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">signals</span><span class="o">.</span><span class="n">positions</span> <span class="o">==</span> <span class="mf">1.0</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> 
         <span class="n">portfolio</span><span class="o">.</span><span class="n">total</span><span class="p">[</span><span class="n">signals</span><span class="o">.</span><span class="n">positions</span> <span class="o">==</span> <span class="mf">1.0</span><span class="p">],</span>
         <span class="s1">'^'</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'m'</span><span class="p">)</span>

<span class="c1"># Plot the "sell" trades against the equity curve</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">portfolio</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">signals</span><span class="o">.</span><span class="n">positions</span> <span class="o">==</span> <span class="o">-</span><span class="mf">1.0</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> 
         <span class="n">portfolio</span><span class="o">.</span><span class="n">total</span><span class="p">[</span><span class="n">signals</span><span class="o">.</span><span class="n">positions</span> <span class="o">==</span> <span class="o">-</span><span class="mf">1.0</span><span class="p">],</span>
         <span class="s1">'v'</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">)</span>

<span class="c1"># Show the plot</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\2091070705.py:11: UserWarning: This axis already has a converter set and is updating to a potentially incompatible converter
  ax1.plot(portfolio.loc[signals.positions == 1.0].index,
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"/>
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<div class="jp-InputPrompt jp-InputArea-prompt">In [32]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Isolate the returns of your strategy</span>
<span class="n">returns</span> <span class="o">=</span> <span class="n">portfolio</span><span class="p">[</span><span class="s1">'returns'</span><span class="p">]</span>

<span class="c1"># annualized Sharpe ratio</span>
<span class="n">sharpe_ratio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">252</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">returns</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> <span class="o">/</span> <span class="n">returns</span><span class="o">.</span><span class="n">std</span><span class="p">())</span>

<span class="c1"># Print the Sharpe ratio</span>
<span class="nb">print</span><span class="p">(</span><span class="n">sharpe_ratio</span><span class="p">)</span>
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<pre>0.72687695001337
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<div class="jp-InputPrompt jp-InputArea-prompt">In [33]:</div>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Define a trailing 252 trading day window</span>
<span class="n">window</span> <span class="o">=</span> <span class="mi">252</span>

<span class="c1"># Calculate the max drawdown in the past window days for each day</span>
<span class="n">rolling_max</span> <span class="o">=</span> <span class="n">aapl</span><span class="p">[</span><span class="s1">'Adj Close'</span><span class="p">]</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="p">,</span> <span class="n">min_periods</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
<span class="n">daily_drawdown</span> <span class="o">=</span> <span class="n">aapl</span><span class="p">[</span><span class="s1">'Adj Close'</span><span class="p">]</span><span class="o">/</span><span class="n">rolling_max</span> <span class="o">-</span> <span class="mf">1.0</span>

<span class="c1"># Calculate the minimum (negative) daily drawdown</span>
<span class="n">max_daily_drawdown</span> <span class="o">=</span> <span class="n">daily_drawdown</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="p">,</span> <span class="n">min_periods</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>

<span class="c1"># Plot the results</span>
<span class="n">daily_drawdown</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
<span class="n">max_daily_drawdown</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>

<span class="c1"># Show the plot</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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"/>
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<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Get the number of days in `aapl`</span>
<span class="n">days</span> <span class="o">=</span> <span class="p">(</span><span class="n">aapl</span><span class="o">.</span><span class="n">index</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">aapl</span><span class="o">.</span><span class="n">index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">days</span>

<span class="c1"># Calculate the CAGR </span>
<span class="n">cagr</span> <span class="o">=</span> <span class="p">((((</span><span class="n">aapl</span><span class="p">[</span><span class="s1">'Adj Close'</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span> <span class="o">/</span> <span class="n">aapl</span><span class="p">[</span><span class="s1">'Adj Close'</span><span class="p">][</span><span class="mi">1</span><span class="p">]))</span> <span class="o">**</span> <span class="p">(</span><span class="mf">365.0</span><span class="o">/</span><span class="n">days</span><span class="p">))</span> <span class="o">-</span> <span class="mi">1</span>

<span class="c1"># Print CAGR</span>
<span class="nb">print</span><span class="p">(</span><span class="n">cagr</span><span class="p">)</span>
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<pre>0.3823445620598196
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<pre>C:\Users\Neil Basu\AppData\Local\Temp\ipykernel_6772\30074735.py:5: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
  cagr = ((((aapl['Adj Close'][-1]) / aapl['Adj Close'][1])) ** (365.0/days)) - 1
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