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) |
© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.22.0/generated/pandas.Series.all.html