DataFrame.all()

DataFrame.all(axis=None, bool_only=None, skipna=None, level=None, **kwargs) [source]

Return whether all elements are True over requested axis

Parameters:

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 level : int or level name, default None If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series bool_only : boolean, default None Include only boolean columns. If None, will attempt to use everything, then use only boolean data. Not implemented for Series.
Returns:	all : Series or DataFrame (if level specified)

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

level : int or level name, default None

If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series

bool_only : boolean, default None

Include only boolean columns. If None, will attempt to use everything, then use only boolean data. Not implemented for Series.

Returns:

all : Series or DataFrame (if level specified)

Links:

doc_Pandas

2017-01-12 04:45:29

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