Spaces:
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Running
Jesse Hartman
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Parent(s):
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add a summary to 06_Dataframe_Transformer
Browse files- 06_Dataframe_Transformer.py +28 -0
06_Dataframe_Transformer.py
CHANGED
@@ -329,6 +329,34 @@ def _(demand_agg: "pl.DataFrame", mo, px):
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return
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@app.cell
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def _():
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import marimo as mo
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return
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@app.cell
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def _(mo):
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mo.md(
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r"""
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# About this Notebook
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Polars and Marimo are both relatively new to the data wrangling space, but their power (and the thrill of their use) cannot be overstated—well, I suppose it could, but you get the meaning. In this notebook, you learn how to leverage basic Polars skills to load-in and explore your data in concert with Marimo's powerful UI elements.
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## 📚 Documentation References
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- **Marimo: Dataframe Transformation Guide**
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https://docs.marimo.io/guides/working_with_data/dataframes/?h=dataframe#transforming-dataframes
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- **Polars: Lazy API Overview**
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https://docs.pola.rs/user-guide/lazy/
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- **Polars: Query Plan Explained**
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https://docs.pola.rs/user-guide/lazy/query-plan/
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- **Marimo Notebook: Basic Polars Joins (by jesshart)**
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https://marimo.io/p/@jesshart/basic-polars-joins
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- **Marimo Learn: Interactive Graphs with Polars**
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https://github.com/marimo-team/learn/blob/main/polars/05_reactive_plots.py
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"""
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)
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return
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@app.cell
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def _():
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import marimo as mo
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