cudf.Series.rmod#
- Series.rmod(other, level=None, fill_value=None, axis=0)[source]#
Get Modulo of DataFrame or Series and other, element-wise (binary operator rmod).
Equivalent to
frame + other
, but with support to substitute afill_value
for missing data in one of the inputs.- Parameters:
- otherscalar, sequence, Series, or DataFrame
Any single or multiple element data structure, or list-like object.
- axisint or string
Only
0
is supported for series,1
orcolumns
supported for dataframe- levelint or name
Broadcast across a level, matching Index values on the passed MultiIndex level. Not yet supported.
- fill_valuefloat or None, default None
Fill existing missing (NaN) values, and any new element needed for successful DataFrame alignment, with this value before computation. If data in both corresponding DataFrame locations is missing the result will be missing.
- Returns:
- DataFrame or Series
Result of the arithmetic operation.
Examples
DataFrame
>>> df = cudf.DataFrame( ... {'angles': [0, 3, 4], 'degrees': [360, 180, 360]}, ... index=['circle', 'triangle', 'rectangle'] ... )
>>> df.rmod(1) angles degrees circle 4294967295 1 triangle 1 1 rectangle 1 1
Series
>>> a = cudf.Series([1, 1, 1, None], index=['a', 'b', 'c', 'd']) >>> b = cudf.Series([1, None, 1, None], index=['a', 'b', 'd', 'e'])
>>> a.rmod(b) a 0 b <NA> c <NA> d <NA> e <NA> dtype: int64 >>> a.rmod(b, fill_value=0) a 0 b 0 c 0 d 4294967295 e <NA> dtype: int64