pandas.Series.pow

Return Exponential power of series and other, element-wise (binary operator pow).

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

param other

Series or scalar value

param 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.

param level

int or name

Broadcast across a level, matching Index values on the passed MultiIndex level.

return

Series The result of the operation.

Limitations

• Parameter axis is supported only with default value 0.

• Parameters level and fill_value are supported only with default value None.

Examples

Element-wise power of one Series by another (binary operator pow)

import pandas as pd
from numba import njit


@njit
def series_pow():
    s1 = pd.Series([5, 4, 3, 2, 1])
    s2 = pd.Series([0, 2, 3, 6, 8])

    return s1.pow(s2)  # Expect series of 1, 16, 27, 64, 1


print(series_pow())

$ python ./series/series_pow.py
0     1
1    16
2    27
3    64
4     1
dtype: int64

Note

Parameter axis is currently unsupported by Intel Scalable Dataframe Compiler

See also

Series.rpow