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doc/python/px-arguments.md

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@@ -59,7 +59,7 @@ df = px.data.iris(return_type='polars')
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df.head()
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```
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## Long, Wide-, and Mixed-Form Data
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## Long, Wide, and Mixed-Form Data
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There are three common conventions for storing column-oriented data, usually in a data frame with column names:
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- Modin
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> To use Polars, PyArrow, or Modin with Plotly Express, you'll need to have NumPy installed. You can install it with: `pip install numpy`.
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To use [trendlines](/python/linear-fits/), you'll also need to have pandas installed.
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To use [trendlines](/python/linear-fits/), you'll also need to have pandas installed.
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`px` uses [Narwhals](https://narwhals-dev.github.io/narwhals/) to natively support these DataFrames. Other types of DataFrames that are currently supported by Narwhals may also work with `px`, for example cuDF.
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