Pandas DataFrame rpow() Method

Example

Find the exponential power of 5 for each value in the DataFrame:

import pandas as pd

data = {
"points": [4, 5, 6],
"total": [10, 12, 15]
}

df = pd.DataFrame(data)

print(df.rpow(5))

Definition and Usage

The rpow() method raises a specified number with each value in the DataFrame.

This method is called reverse pow, and is similar to the pow() method, but instead of calculating 4⁵ it calculates 5⁴.

The specified number must be an object that can be used to raise the values in the DataFrame. It can be a constant number like the one in the example, or it can be a list-like object like a list [5, 10] or a tuple {"points": 5, "total": 10}, or a Pandas Series or another DataFrame, that fits with the original DataFrame.

Syntax

dataframe.pow(other, axis, level, fill_value)

Parameters

Parameter	Description
other	Required. A number, list of numbers, or another object with a data structure that fits with the original DataFrame.
axis	Optional, A definition that decides whether to compare by index or columns. 0 or 'index' means compare by index. 1 or 'columns' means compare by columns
level	Optional. A number or label that indicates where to compare.
fill_value	Optional. A number, or None. Specifies what to do with NaN values before doing the calculation.