Series.sub(other, level=None, fill_value=None, axis=0)#

Return Subtraction of series and other, element-wise (binary operator subtract).

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

  • other (Series or scalar value) –

  • fill_value (None 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 will be missing.

  • level (int or name) – Broadcast across a level, matching Index values on the passed MultiIndex level.


The result of the operation.

Return type


See also



>>> import numpy as np
>>> import mars.dataframe as md
>>> a = md.Series([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'])
>>> a.execute()
a    1.0
b    1.0
c    1.0
d    NaN
dtype: float64
>>> b = md.Series([1, np.nan, 1, np.nan], index=['a', 'b', 'd', 'e'])
>>> b.execute()
a    1.0
b    NaN
d    1.0
e    NaN
dtype: float64
>>> a.subtract(b, fill_value=0).execute()
a    0.0
b    1.0
c    1.0
d   -1.0
e    NaN
dtype: float64