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. |
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Construct a Polars DataFrame or Series from a pandas DataFrame, Series, or Index. |
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Construct a DataFrame from a sequence of sequences. |
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Construct a Polars DataFrame or Series from its string representation. |
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Normalize semi-structured deserialized JSON data into a flat table. |
Miscellaneous#
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Align a sequence of frames using common values from one or more columns as a key. |
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Combine multiple DataFrames, LazyFrames, or Series into a single object. |
Parallelization#
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Collect multiple LazyFrames at the same time. |
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Collect multiple LazyFrames at the same time asynchronously in thread pool. |
Random#
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Set the global random seed for Polars. |
StringCache#
Note that the StringCache
can be used as both a context manager
and a decorator, in order to explicitly scope cache lifetime.
Context manager for enabling and disabling the global string cache. |
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Enable the global string cache. |
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Disable and clear the global string cache. |
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Check whether the global string cache is enabled. |