bigframes.pandas.Series.ne#

Series.ne(other: object) → Series[source]#

Return not equal of Series and other, element-wise (binary operator ne).

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

Examples:

>>> a = bpd.Series([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'])
>>> a
a     1.0
b     1.0
c     1.0
d    <NA>
dtype: Float64

>>> b = bpd.Series([1, np.nan, 1, np.nan], index=['a', 'b', 'd', 'e'])
>>> b
a     1.0
b    <NA>
d     1.0
e    <NA>
dtype: Float64

>>> a.ne(b)
a    False
b     <NA>
c     <NA>
d     <NA>
e     <NA>
dtype: boolean