Login Register

DataFrameGroupBy.cummax()

DataFrameGroupBy.cummax(axis=None, skipna=True, *args, **kwargs)

Return cumulative max over requested axis.

Parameters:

axis : {index (0), columns (1)}

skipna : boolean, default True

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

Returns:

cummax : Series

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.core.groupby.DataFrameGroupBy.cummax.html

doc_Pandas

2017-01-12 04:46:56

Comments

Leave a Comment

Please login to continue.

Popular Articles

Series.cummax() Series.cummax(axis=None, skipna=True, *args, **kwargs) [source] Return cumulative max over requested axis. Parameters: axis : {index (0)} skipna

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

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

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

DataFrameGroupBy.plot DataFrameGroupBy.plot Class implementing the .plot attribute for groupby objects