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# xpressinsight.PolarsDataFrame

Purpose
The configuration of a PolarsDataFrame entity, which is a group of columns with a shared index, represented as a Polars DataFrame. Use the helper function xpressinsight.types.PolarsDataFrame to declare a DataFrame entity in an app, rather than instantiating xpressinsight.PolarsDataFrame directly.
Synopsis
`class xpressinsight.PolarsDataFrame(DataFrameBase)`
Further information
1. As Polars frames are not indexed, indexes declared in the Insight schema are represented as additional columns of values in the Polars DataFrame. The uniqueness of the index values will be verified when the data is saved at the end of the scenario.
2. Polars-type entities will only be available if polars has been installed in your Python environment.
Related topics
Column,
DataFrameBase,
PolarsDataFrame.__init__,
PolarsDataFrame.check_type,
PolarsDataFrame.check_value,
PolarsDataFrame.columns,
PolarsDataFrame.index,
PolarsDataFrame.index_names,
PolarsDataFrame.index_types,
PolarsDataFrame.is_managed,
PolarsDataFrame.name,
PolarsDataFrame.type_hint,
PolarsDataFrame.unique_index_names,
PolarsDataFrame.update_progress,
types.DataFrame,
types.Index
Parent Topic Entity Definition Container Classes

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