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))
Try it Yourself »
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.
