bigframes.pandas.Series.le#

Series.le(other) → Series[source]#

Get ‘less than or equal to’ of Series and other, element-wise (binary operator le).

Equivalent to series <= other, 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.le(b)
a    True
b    <NA>
c    <NA>
d    <NA>
e    <NA>
dtype: boolean