, level=None, fill_value=None, axis=0)[source]

Return Not equal to of series and other, element-wise (binary operator ne).

Equivalent to series != other, but with support to substitute a fill_value for missing data in either one of the inputs.

otherSeries or scalar value
fill_valueNone or float value, default None (NaN)

Fill existing missing (NaN) values, and any new element needed for successful Series alignment, with this value before computation. If data in both corresponding Series locations is missing the result of filling (at that location) will be missing.

levelint or name

Broadcast across a level, matching Index values on the passed MultiIndex level.


The result of the operation.


>>> a = pd.Series([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'])
>>> a
a    1.0
b    1.0
c    1.0
d    NaN
dtype: float64
>>> b = pd.Series([1, np.nan, 1, np.nan], index=['a', 'b', 'd', 'e'])
>>> b
a    1.0
b    NaN
d    1.0
e    NaN
dtype: float64
>>>, fill_value=0)
a    False
b     True
c     True
d     True
e     True
dtype: bool