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.check_value,
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
DataFrame.__init__,
DataFrame.check_type,
DataFrame.check_value,
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
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