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pandas.Index.all

Index.all(*args, **kwargs)[source]

Return whether all elements are True.

Parameters:

*args

These parameters will be passed to numpy.all.

**kwargs

These parameters will be passed to numpy.all.

Returns:

all : bool or array_like (if axis is specified)

A single element array_like may be converted to bool.

See also

pandas.Index.any
Return whether any element in an Index is True.
pandas.Series.any
Return whether any element in a Series is True.
pandas.Series.all
Return whether all elements in a Series are True.

Notes

Not a Number (NaN), positive infinity and negative infinity evaluate to True because these are not equal to zero.

Examples

all

True, because nonzero integers are considered True.

>>> pd.Index([1, 2, 3]).all()
True

False, because 0 is considered False.

>>> pd.Index([0, 1, 2]).all()
False

any

True, because 1 is considered True.

>>> pd.Index([0, 0, 1]).any()
True

False, because 0 is considered False.

>>> pd.Index([0, 0, 0]).any()
False
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