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# pandas.Series.nonzero¶

Series.nonzero()[source]

Return the integer indices of the elements that are non-zero.

Deprecated since version 0.24.0: Please use .to_numpy().nonzero() as a replacement.

This method is equivalent to calling numpy.nonzero on the series data. For compatibility with NumPy, the return value is the same (a tuple with an array of indices for each dimension), but it will always be a one-item tuple because series only have one dimension.

Examples

>>> s = pd.Series([0, 3, 0, 4])
>>> s.nonzero()
(array([1, 3]),)
>>> s.iloc[s.nonzero()[0]]
1    3
3    4
dtype: int64

>>> s = pd.Series([0, 3, 0, 4], index=['a', 'b', 'c', 'd'])
# same return although index of s is different
>>> s.nonzero()
(array([1, 3]),)
>>> s.iloc[s.nonzero()[0]]
b    3
d    4
dtype: int64

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