Pandas DataFrame rfloordiv() Method
Example
Divide 10 with each value in the DataFrame, and return the integer (with no decimals):
import pandas as pd
data = {
"points": [100, 120,
114],
"total": [350, 340, 402]
}
df = pd.DataFrame(data)
print(df.rfloordiv(10))
Try it Yourself »
Definition and Usage
The rfloordiv() method divides a specified
value with each value in the DataFrame, and returns the integer (removes any decimals).
This method is called reverse floordiv, and is similar to the
floordiv() method, but
instead of calculating 100 / 10 it calculates
10 / 100.
The specified value must
be an object that can be divided 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": 20}, or a Pandas
Series or another DataFrame, that fits with the original DataFrame.
Syntax
dataframe.rfloordiv(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 dividing. |
Return Value
A DataFrame with all integers.
