Initializing help system before first use

xpressinsight.DataFrame

Purpose
The configuration of a DataFrame entity, which is a group of columns with a shared index, stored as a Pandas DataFrame. Use the helper function xpressinsight.types.DataFrame to declare a DataFrame entity in an app, rather than instantiating xpressinsight.DataFrame directly.
Synopsis
class xpressinsight.DataFrame(DataFrameBase)
Further information
In older versions of xpressinsight, it was possible to use the DataFrame as the annotation for an entity. This syntax is now deprecated and should not be used in new apps; it will not be supported in Python 3.12 and above.
Related topics
Column,
DataFrame.__init__,
DataFrame.check_type,
DataFrame.columns,
DataFrame.index,
DataFrame.index_names,
DataFrame.index_types,
DataFrame.is_managed,
DataFrame.name,
DataFrame.type_hint,
DataFrame.unique_index_names,
DataFrame.update_progress,
DataFrameBase,
types.DataFrame,
types.Index

Parent Topic Entity Definition Container Classes

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