Python | Pandas Panel.cummin()
In Pandas, Panel is a very important container for three dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data.
Panel.cummin() function is used to returns a DataFrame or Series of the same size containing the cumulative minimum.
Syntax: Panel.cummin(axis=None, skipna=True, *args, **kwargs)
axis : The index or the name of the axis. 0 is equivalent to None or ‘index’.
skipna : Exclude NA/null values. If an entire row/column is NA, the result will be NA.
Returns: Cummin of DataFrame or Panel
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