pandas.Series.ne#

Series.ne(other, 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.

Parameters:

otherobject

When a Series is provided, will align on indexes. For all other types, will behave the same as == but with possibly different results due to the other arguments.

levelint or name

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

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.

axis{0 or ‘index’}

Unused. Parameter needed for compatibility with DataFrame.

Returns:

Series

The result of the operation.

See also

Series.eq

Reverse of the Not equal to operator, see Python documentation for more details.

Examples

>>> 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
>>> a.ne(b, fill_value=0)
a    False
b     True
c     True
d     True
e     True
dtype: bool