Pandas Series: cummin() function
Cumulative minimum over a Pandas DataFrame or Series axis
The cummin() function is used to get cumulative minimum over a DataFrame or Series axis.
Returns a DataFrame or Series of the same size containing the cumulative minimum.
Syntax:
Series.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: scalar or Series
Example:
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