Series.all()

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

Return whether all elements are True 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

level : int or level name, default None

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

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 : scalar or Series (if level specified)

doc_Pandas
2017-01-12 04:53:13
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