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

Return Greater than of series and other, element-wise (binary operator gt).

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

The second operand in this operation.

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.


The result of the operation.


>>> a = pd.Series([1, 1, 1, np.nan, 1], index=['a', 'b', 'c', 'd', 'e'])
>>> a
a    1.0
b    1.0
c    1.0
d    NaN
e    1.0
dtype: float64
>>> b = pd.Series([0, 1, 2, np.nan, 1], index=['a', 'b', 'c', 'd', 'f'])
>>> b
a    0.0
b    1.0
c    2.0
d    NaN
f    1.0
dtype: float64
>>>, fill_value=0)
a     True
b    False
c    False
d    False
e     True
f    False
dtype: bool