Releases: mwouts/itables
Releases · mwouts/itables
Version 2.4.0rc1
Added
- The ITable widget, and the ITable components for Dash and Streamlit have the same features as the
showfunction. They can show non-finite floats, bigints, Pandas Style objects and use custom JavaScript formatters (#374) - We have added type hints for the
showfunction and for the various app components. A SyntaxWarning is issued if either the argument name or type does not match whenwarn_on_undocumented_option=True(the default whentypeguard>=4.4.1is installed)
Changed
- By default, the HTML content in Pandas and Polars dataframes is now escaped. Use
allow_html=Trueto display HTML content (use this option only if you trust the content of the table!) (#346) - Consistently with Pandas Style, the HTML content in Styler objects is not escaped - make sure you trust the content of the corresponding tables.
- We have updated DataTables to its latest release 2.3.0
- ITable now requires Python 3.9, due to the addition of type hints
- The
domargument (deprecated in v2.0) has been removed.
Version 2.4.0rc0
Added
- The ITable widget, and the ITable components for Dash and Streamlit have the same features as the
showfunction. They can show non-finite floats, bigints, Pandas Style objects and use custom JavaScript formatters (#374) - We have added type hints for the
showfunction and for the various app components. A SyntaxWarning is issued if either the argument name or type does not match whenwarn_on_undocumented_option=True(the default whentypeguard>=4.4.1is installed)
Changed
- By default, the HTML content in Pandas and Polars dataframes is now escaped. Use
allow_html=Trueto display HTML content (use this option only if you trust the content of the table!) (#346) - Consistently with Pandas Style, the HTML content in Styler objects is not escaped - make sure you trust the content of the corresponding tables.
- We have updated DataTables to its latest release 2.3.0
- ITable now requires Python 3.9, due to the addition of type hints
- The
domargument (deprecated in v2.0) has been removed.
Version 2.3.0
Added
- ITable now has a component for Dash! You can render your Python DataFrames in your Dash application with
from itables.dash import ITable(#245)
Changed
- We have changed the default value of the
all_interactiveargument ofitables.init_notebook_modetoTrue - The ITables options can be imported and modified directly through
itables.options - We have updated
dt_for_itablestodatatables.net-dt==2.2.2anddatatables.net-select-dt==3.0.0 - We have updated the dependencies of our Jupyter widget and our of Streamlit component.
Version 2.3.0
Added
- ITable now has a component for Dash! You can render your Python DataFrames in your Dash application with
from itables.dash import ITable(#245)
Changed
- We have changed the default value of the
all_interactiveargument ofitables.init_notebook_modetoTrue - The ITables options can be imported and modified directly through
itables.options - We have updated
dt_for_itablestodatatables.net-dt==2.2.2anddatatables.net-select-dt==3.0.0 - We have updated the dependencies of our Jupyter widget and our of Streamlit component.
Version 2.3.0
Added
- ITable now has a component for Dash! You can render your Python DataFrames in your Dash application with
from itables.dash import ITable(#245)
Changed
- We have changed the default value of the
all_interactiveargument ofitables.init_notebook_modetoTrue - The ITables options can be imported and modified directly through
itables.options - We have updated
dt_for_itablestodatatables.net-dt==2.2.2anddatatables.net-select-dt==3.0.0 - We have updated the dependencies of our Jupyter widget and our of Streamlit component.
Version 2.2.5
Fixed
- We have removed an erroneous assertion and added tests on the warnings issued when selected rows are not displayed (#351)
Version 2.2.4
Version 2.2.3
Version 2.2.2
Version 2.2.1
Fixed
- We fixed an issue with the Streamlit component when
selected_rowswas not set.