polyplot/quickstart.py at main · ckmah/polyplot · GitHub

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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo>=0.22",
# "geopandas>=1.0",
# "pyarrow",
# "polyplot",
# ]
# [tool.uv.sources]
# polyplot = { path = ".", editable = true }
# ///

importmarimo

__generated_with="0.23.1"
app=marimo.App(width="full")


@app.cell
def_():
importpathlib
importtextwrap

importgeopandasasgpd
importmarimoasmo
importpolyplotaspo

returngpd, mo, pathlib, po, textwrap


@app.cell
def_(gpd, mo, pathlib, po, textwrap):
intro=mo.md(
textwrap.dedent(
"""
 # Polyplot quick start

 This notebook uses the tracked `sample_data/liver_crop_sample.parquet`. From
 the repository root (so paths resolve) run `uv run marimo edit quickstart.py`.

 Tip: In `on_demand=True` mode, click a cell in the minimap to build a
 on-demand tile view. The camera also clamps max zoom-out so you cannot
 pull back far enough to frame the entire dataset at once (keeps big
 datasets from loading everything).
 """
 ).strip()
 )
gdf=gpd.read_parquet(
pathlib.Path(__file__).resolve().parent
/"sample_data"
/"liver_crop_sample.parquet"
 )
viewer=po.plot(gdf, on_demand=True)
returnmo.vstack(intro, viewer)


if__name__=="__main__":
app.run()
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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo>=0.22",
# "geopandas>=1.0",
# "pyarrow",
# "polyplot",
# ]
# [tool.uv.sources]
# polyplot = { path = ".", editable = true }
# ///

importmarimo

__generated_with="0.23.1"
app=marimo.App(width="full")


@app.cell
def_():
importpathlib
importtextwrap

importgeopandasasgpd
importmarimoasmo
importpolyplotaspo

returngpd, mo, pathlib, po, textwrap


@app.cell
def_(gpd, mo, pathlib, po, textwrap):
intro=mo.md(
textwrap.dedent(
"""
 # Polyplot quick start

 This notebook uses the tracked `sample_data/liver_crop_sample.parquet`. From
 the repository root (so paths resolve) run `uv run marimo edit quickstart.py`.

 Tip: In `on_demand=True` mode, click a cell in the minimap to build a
 on-demand tile view. The camera also clamps max zoom-out so you cannot
 pull back far enough to frame the entire dataset at once (keeps big
 datasets from loading everything).
 """
 ).strip()
 )
gdf=gpd.read_parquet(
pathlib.Path(__file__).resolve().parent
/"sample_data"
/"liver_crop_sample.parquet"
 )
viewer=po.plot(gdf, on_demand=True)
returnmo.vstack(intro, viewer)


if__name__=="__main__":
app.run()
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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo>=0.22",
# "geopandas>=1.0",
# "pyarrow",
# "polyplot",
# ]
# [tool.uv.sources]
# polyplot = { path = ".", editable = true }
# ///

importmarimo

__generated_with="0.23.1"
app=marimo.App(width="full")


@app.cell
def_():
importpathlib
importtextwrap

importgeopandasasgpd
importmarimoasmo
importpolyplotaspo

returngpd, mo, pathlib, po, textwrap


@app.cell
def_(gpd, mo, pathlib, po, textwrap):
intro=mo.md(
textwrap.dedent(
"""
 # Polyplot quick start

 This notebook uses the tracked `sample_data/liver_crop_sample.parquet`. From
 the repository root (so paths resolve) run `uv run marimo edit quickstart.py`.

 Tip: In `on_demand=True` mode, click a cell in the minimap to build a
 on-demand tile view. The camera also clamps max zoom-out so you cannot
 pull back far enough to frame the entire dataset at once (keeps big
 datasets from loading everything).
 """
 ).strip()
 )
gdf=gpd.read_parquet(
pathlib.Path(__file__).resolve().parent
/"sample_data"
/"liver_crop_sample.parquet"
 )
viewer=po.plot(gdf, on_demand=True)
returnmo.vstack(intro, viewer)


if__name__=="__main__":
app.run()
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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo>=0.22",
# "geopandas>=1.0",
# "pyarrow",
# "polyplot",
# ]
# [tool.uv.sources]
# polyplot = { path = ".", editable = true }
# ///

importmarimo

__generated_with="0.23.1"
app=marimo.App(width="full")


@app.cell
def_():
importpathlib
importtextwrap

importgeopandasasgpd
importmarimoasmo
importpolyplotaspo

returngpd, mo, pathlib, po, textwrap


@app.cell
def_(gpd, mo, pathlib, po, textwrap):
intro=mo.md(
textwrap.dedent(
"""
 # Polyplot quick start

 This notebook uses the tracked `sample_data/liver_crop_sample.parquet`. From
 the repository root (so paths resolve) run `uv run marimo edit quickstart.py`.

 Tip: In `on_demand=True` mode, click a cell in the minimap to build a
 on-demand tile view. The camera also clamps max zoom-out so you cannot
 pull back far enough to frame the entire dataset at once (keeps big
 datasets from loading everything).
 """
 ).strip()
 )
gdf=gpd.read_parquet(
pathlib.Path(__file__).resolve().parent
/"sample_data"
/"liver_crop_sample.parquet"
 )
viewer=po.plot(gdf, on_demand=True)
returnmo.vstack(intro, viewer)


if__name__=="__main__":
app.run()
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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo>=0.22",
# "geopandas>=1.0",
# "pyarrow",
# "polyplot",
# ]
# [tool.uv.sources]
# polyplot = { path = ".", editable = true }
# ///

importmarimo

__generated_with="0.23.1"
app=marimo.App(width="full")


@app.cell
def_():
importpathlib
importtextwrap

importgeopandasasgpd
importmarimoasmo
importpolyplotaspo

returngpd, mo, pathlib, po, textwrap


@app.cell
def_(gpd, mo, pathlib, po, textwrap):
intro=mo.md(
textwrap.dedent(
"""
 # Polyplot quick start

 This notebook uses the tracked `sample_data/liver_crop_sample.parquet`. From
 the repository root (so paths resolve) run `uv run marimo edit quickstart.py`.

 Tip: In `on_demand=True` mode, click a cell in the minimap to build a
 on-demand tile view. The camera also clamps max zoom-out so you cannot
 pull back far enough to frame the entire dataset at once (keeps big
 datasets from loading everything).
 """
 ).strip()
 )
gdf=gpd.read_parquet(
pathlib.Path(__file__).resolve().parent
/"sample_data"
/"liver_crop_sample.parquet"
 )
viewer=po.plot(gdf, on_demand=True)
returnmo.vstack(intro, viewer)


if__name__=="__main__":
app.run()
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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo>=0.22",
# "geopandas>=1.0",
# "pyarrow",
# "polyplot",
# ]
# [tool.uv.sources]
# polyplot = { path = ".", editable = true }
# ///

importmarimo

__generated_with="0.23.1"
app=marimo.App(width="full")


@app.cell
def_():
importpathlib
importtextwrap

importgeopandasasgpd
importmarimoasmo
importpolyplotaspo

returngpd, mo, pathlib, po, textwrap


@app.cell
def_(gpd, mo, pathlib, po, textwrap):
intro=mo.md(
textwrap.dedent(
"""
 # Polyplot quick start

 This notebook uses the tracked `sample_data/liver_crop_sample.parquet`. From
 the repository root (so paths resolve) run `uv run marimo edit quickstart.py`.

 Tip: In `on_demand=True` mode, click a cell in the minimap to build a
 on-demand tile view. The camera also clamps max zoom-out so you cannot
 pull back far enough to frame the entire dataset at once (keeps big
 datasets from loading everything).
 """
 ).strip()
 )
gdf=gpd.read_parquet(
pathlib.Path(__file__).resolve().parent
/"sample_data"
/"liver_crop_sample.parquet"
 )
viewer=po.plot(gdf, on_demand=True)
returnmo.vstack(intro, viewer)


if__name__=="__main__":
app.run()
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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo>=0.22",
# "geopandas>=1.0",
# "pyarrow",
# "polyplot",
# ]
# [tool.uv.sources]
# polyplot = { path = ".", editable = true }
# ///

importmarimo

__generated_with="0.23.1"
app=marimo.App(width="full")


@app.cell
def_():
importpathlib
importtextwrap

importgeopandasasgpd
importmarimoasmo
importpolyplotaspo

returngpd, mo, pathlib, po, textwrap


@app.cell
def_(gpd, mo, pathlib, po, textwrap):
intro=mo.md(
textwrap.dedent(
"""
 # Polyplot quick start

 This notebook uses the tracked `sample_data/liver_crop_sample.parquet`. From
 the repository root (so paths resolve) run `uv run marimo edit quickstart.py`.

 Tip: In `on_demand=True` mode, click a cell in the minimap to build a
 on-demand tile view. The camera also clamps max zoom-out so you cannot
 pull back far enough to frame the entire dataset at once (keeps big
 datasets from loading everything).
 """
 ).strip()
 )
gdf=gpd.read_parquet(
pathlib.Path(__file__).resolve().parent
/"sample_data"
/"liver_crop_sample.parquet"
 )
viewer=po.plot(gdf, on_demand=True)
returnmo.vstack(intro, viewer)


if__name__=="__main__":
app.run()
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45
46
47
48
49
50
51
52
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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo>=0.22",
# "geopandas>=1.0",
# "pyarrow",
# "polyplot",
# ]
# [tool.uv.sources]
# polyplot = { path = ".", editable = true }
# ///

importmarimo

__generated_with="0.23.1"
app=marimo.App(width="full")


@app.cell
def_():
importpathlib
importtextwrap

importgeopandasasgpd
importmarimoasmo
importpolyplotaspo

returngpd, mo, pathlib, po, textwrap


@app.cell
def_(gpd, mo, pathlib, po, textwrap):
intro=mo.md(
textwrap.dedent(
"""
 # Polyplot quick start

 This notebook uses the tracked `sample_data/liver_crop_sample.parquet`. From
 the repository root (so paths resolve) run `uv run marimo edit quickstart.py`.

 Tip: In `on_demand=True` mode, click a cell in the minimap to build a
 on-demand tile view. The camera also clamps max zoom-out so you cannot
 pull back far enough to frame the entire dataset at once (keeps big
 datasets from loading everything).
 """
 ).strip()
 )
gdf=gpd.read_parquet(
pathlib.Path(__file__).resolve().parent
/"sample_data"
/"liver_crop_sample.parquet"
 )
viewer=po.plot(gdf, on_demand=True)
returnmo.vstack(intro, viewer)


if__name__=="__main__":
app.run()