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# xpressinsight.data.Column

Purpose
Represent a single column within a DataFrame or PolarsDataFrame entity that is being fetched from another scenario.
Synopsis
`class xpressinsight.data.Column(Column)`
Example
Example of declaring two columns NumDays and NumMonths which will contain integer values within a DataFrame.

    >>> YearInfoFrame: xi.data.DataFrame(columns=[
    ...     xi.data.Column("NumDays", dtype=xi.integer)
    ...     xi.data.Column("NumMonths", dtype=xi.integer)
    ... ])

The entity name of the column is assumed to be the DataFrame name and column name, joined by an underscore (e.g. YearInfoFrame_NumDays and YearInfoFrame_NumMonths in the above example), unless a different value is passed in the entity_name attribute.
Related topics
Column,
data.Column.__init__
Parent Topic Scenario Data Entity Definitions

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