Login Register

Series.cummin()

Series.cummin(axis=None, skipna=True, *args, **kwargs) [source]

Return cumulative minimum over requested axis.

Parameters:

axis : {index (0)}

skipna : boolean, default True

Exclude NA/null values. If an entire row/column is NA, the result will be NA

Returns:

cummin : scalar

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.cummin.html

doc_Pandas

2017-01-12 04:53:32

Comments

Leave a Comment

Please login to continue.

Popular Articles

DataFrameGroupBy.cummin() DataFrameGroupBy.cummin(axis=None, skipna=True, *args, **kwargs) Return cumulative minimum over requested axis. Parameters: axis : {index (0), c

Panel.cummin() Panel.cummin(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative minimum over requested axis. Parameters: axis : {items (0), maj

DataFrame.cummin() DataFrame.cummin(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative minimum over requested axis. Parameters: axis : {index (0),

Panel4D.cummin() Panel4D.cummin(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative minimum over requested axis. Parameters: axis : {labels (0),

Series() class pandas.Series(data=None, index=None, dtype=None, name=None, copy=False, fastpath=False) [source] One-dimensional ndarray with axis labels (