Pandas DataFrame rsub() Method
Example
Subtract each value in the DataFrame from 15:
import pandas as pd
data = {
"points": [100, 120,
114],
"total": [350, 340, 402]
}
df = pd.DataFrame(data)
print(df.rsub(15))
Try it Yourself »
Definition and Usage
The rsub() method subtracts each value in the DataFrame
from a specified value.
This method is called reverse sub, and is similar to the
sub() method, but
instead of calculating 100 - 15 it calculates
15 - 100.
The specified value must be an object with a data type that fits the original DataFrame. It can be a
constant number like the one in the example, or it can be a list-like object
like a list [15, 20] or a tuple
{"points": 380, "total": 22}, or a Pandas
Series or another DataFrame, that fits with the original DataFrame.
Syntax
dataframe.rsub(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 subtracting. |
Return Value
A DataFrame with the result.
