From 389df97f16470eb5b7a9b243631a9b59e94d388d Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Thu, 19 Dec 2024 09:14:06 -0700 Subject: [PATCH] [docs] Include Polars as supported Pandera backend --- docs/content/integrations/pandera.mdx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/content/integrations/pandera.mdx b/docs/content/integrations/pandera.mdx index a7353c412a9ea..9da856c4d4c03 100644 --- a/docs/content/integrations/pandera.mdx +++ b/docs/content/integrations/pandera.mdx @@ -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. --- @@ -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: