cudf.Series.add#

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

Get Addition of dataframe or series and other, element-wise (binary operator add).

Equivalent to frame + other, but with support to substitute a fill_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 or columns supported for dataframe

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 + 1
           angles  degrees
circle          1      361
triangle        4      181
rectangle       5      361
>>> df.add(1)
           angles  degrees
circle          1      361
triangle        4      181
rectangle       5      361

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.add(b)
a       2
b    <NA>
c    <NA>
d    <NA>
e    <NA>
dtype: int64
>>> a.add(b, fill_value=0)
a       2
b       1
c       1
d       1
e    <NA>
dtype: int64