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[docs] Include Polars as supported Pandera backend #26596

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Dec 24, 2024
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4 changes: 2 additions & 2 deletions docs/content/integrations/pandera.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ Using Pandera with Dagster allows you to:

## Limitations

Currently, `dagster-pandera` only supports Pandas dataframes, despite Pandera supporting validation on dataframes from a variety of Pandas alternatives.
Currently, `dagster-pandera` only supports pandas and Polars dataframes, despite Pandera supporting validation on other dataframe backends.

---

Expand Down Expand Up @@ -79,7 +79,7 @@ def stocks_job():
apple_stock_prices_dirty()
```

In the above example, we defined a toy job (`stocks_job`) with a single asset, `apple_stock_prices_dirty`. This asset returns a Pandas `DataFrame` containing the opening and closing prices of Apple stock (AAPL) for a random week. The `_dirty` suffix is included because we've corrupted the data with a few random nulls.
In the above example, we defined a toy job (`stocks_job`) with a single asset, `apple_stock_prices_dirty`. This asset returns a pandas `DataFrame` containing the opening and closing prices of Apple stock (AAPL) for a random week. The `_dirty` suffix is included because we've corrupted the data with a few random nulls.

Let's look at this job in the UI:

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