Functions#
Conversion#
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Create a DataFrame or Series from an Arrow Table or Array. |
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Build a Polars DataFrame from any dataframe supporting the interchange protocol. |
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Construct a DataFrame from a dictionary of sequences. |
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Construct a DataFrame from a sequence of dictionaries. |
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Construct a DataFrame from a numpy ndarray. |
Construct a Polars DataFrame or Series from a pandas DataFrame or Series. |
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Construct a DataFrame from a sequence of sequences. |
Eager/Lazy functions#
Return indices where condition evaluates True. |
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Aggregate multiple Dataframes/Series to a single DataFrame/Series. |
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Bin values into discrete values. |
Create a range of type Datetime (or Date). |
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Convert categorical variables into dummy/indicator variables. |
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Return a new Series of given length and type, filled with ones. |
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Return a new Series of given length and type, filled with zeros. |
Miscellaneous#
Align a sequence of frames using the unique values from one or more columns as a key. |
Parallelization#
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Collect multiple LazyFrames at the same time. |
StringCache#
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Turn on/off the global string cache. |
Context manager that allows data sources to share the same categorical features. |