mars.dataframe.Series.mod#
- Series.mod(other, level=None, fill_value=None, axis=0)#
Return Modulo of series and other, element-wise (binary operator mod).
Equivalent to
series % other
, but with support to substitute a fill_value for missing data in one of the inputs.- Parameters
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.
- Returns
The result of the operation.
- Return type
See also
Examples
>>> 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.mod(b, fill_value=0).execute() a 0.0 b NaN c NaN d 0.0 e NaN dtype: float64