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Pandas DataFrame: cummin() function

DataFrame - cummin() function

The cummin() function returns cumulative minimum over a DataFrame or Series axis.

Syntax: 

DataFrame.cummin(self, axis=None, skipna=True, *args, **kwargs)

Parameters:

Name Description Type/Default Value Required / Optional
axis         The index or the name of the axis. 0 is equivalent to None or ‘index’. {0 or ‘index’, 1 or ‘columns’}
Default Value: 0		 Required
skipna  Exclude NA/null values. If an entire row/column is NA, the result will be NA. boolean
Default Value: True		 Required
*args, **kwargs : Additional keywords have no effect but might be accepted for compatibility with NumPy.   Required

Returns: Series or DataFrame

Example:


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