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Pandas DataFrame pow() Method

❮ DataFrame Reference


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.pow(5))
Try it Yourself »

Definition and Usage

The pow() method raises each value in the DataFrame a specified number of times.

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.

Return Value

A DataFrame with the results.


❮ DataFrame Reference

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