pandas.Series.nonzero
-
Series.nonzero()
[source] -
Return the integer indices of the elements that are non-zero
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.See also
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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https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.nonzero.html