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In pandas it is easy to implement those features. Is it possible to compute expanding window features (such mean, standard deviation, etc.) in polars?
You can perform <strong>min(), max()</strong> functions to perform calculations.
Alternatively you can use <strong><code>rolling_sum()</code></strong> with window size for the number of rows.
You will get a TypeError if you try to use expanding windows features in Polars dataframe. For this you need to convert polars into pandas dataframe.