Add marimo notebook examples

Author: nvictus

python/notebooks/README.md

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+# Grandscatter example notebooks
+
+Running Jupyter notebooks in JupyterLab:
+
+```sh
+uv run jupyter lab
+```
+
+Running a marimo notebook locally (Python kernel):
+
+```sh
+uv run marimo run example.py  # app mode
+# or
+uv run marimo edit example.py  # edit mode
+```
+
+Building and serving a marimo WASM notebook (Pyodide kernel):
+
+```sh
+uv run marimo export html-wasm --mode run -o html example_wasm.py  # build for app mode
+# or
+uv run marimo export html-wasm --mode edit -o html example_wasm.py  # build for edit mode
+# then
+uv run python -m http.server --directory html
+```

python/notebooks/example_wasm.py

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+import marimo
+
+__generated_with = "0.19.11"
+app = marimo.App()
+
+
+@app.cell
+def _():
+    import os
+    os.environ['ANYWIDGET_HMR'] = '1'
+    return
+
+
+@app.cell
+def _():
+    import marimo as mo
+
+    return (mo,)
+
+
+@app.cell
+async def _():
+    import micropip
+    await micropip.install("anywidget")
+    await micropip.install("grandscatter", deps=False)
+
+    from grandscatter import Scatter
+
+    return (Scatter,)
+
+
+@app.cell
+def _():
+    import pandas as pd
+    import pyarrow as pa
+
+    return (pd,)
+
+
+@app.cell
+def _(pd):
+    df = pd.read_feather("https://abdenlab.org/grandscatter/eigs.arrow")
+    df
+    return (df,)
+
+
+@app.cell
+def _(df):
+    colors = dict(
+        zip(
+            df[["name", "color"]].drop_duplicates()["name"].tolist(),
+            df[["name", "color"]].drop_duplicates()["color"].tolist()
+        )
+    )
+    return (colors,)
+
+
+@app.cell
+def _(Scatter, colors, df, mo):
+    widget = mo.ui.anywidget(
+        Scatter(df, ["E1", "E2", "E3", "E4", "E5"], "name", colors, projection="perspective")
+    )
+    return (widget,)
+
+
+@app.cell
+def _(widget):
+    widget
+    return
+
+
+@app.cell
+def _(widget):
+    widget.axis_length = 2
+    return
+
+
+@app.cell
+def _(widget):
+    widget.view_angle = 90
+    return
+
+
+@app.cell
+def _(widget):
+    widget.projection = "orthographic"
+    return
+
+
+@app.cell
+def _(widget):
+    widget.base_point_size = 4
+    return
+
+
+@app.cell
+def _(df, widget):
+    df.iloc[widget.selected_points]
+    return
+
+
+if __name__ == "__main__":
+    app.run()