Pandas DataFrame rmul() Method

Example

Multiply 10 with each value in the DataFrame:

import pandas as pd

data = {
"points": [100, 120, 114],
"total": [350, 340, 402]
}

df = pd.DataFrame(data)

print(df.rmul(10))

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Definition and Usage

The rmul() method multiplies a specified value with each value in the DataFrame.

This method is called reverse mul, and is similar to the mul() method, but instead of calculating 100 * 10 it calculates 10 * 100, which in this case will give the same result.

The specified value must be an object that can be multiplied with the values of 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 [10, 20] or a tuple {"points": 10, "total": 2}, or a Pandas Series or another DataFrame, that fits with the original DataFrame.

Syntax

dataframe.rmul(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 the multiplying.

Return Value

A DataFrame with the multiplied result.

❮ DataFrame Reference