Menu
×
   ❮     
HTML CSS JAVASCRIPT SQL PYTHON JAVA PHP HOW TO W3.CSS C C++ C# BOOTSTRAP REACT MYSQL JQUERY EXCEL XML DJANGO NUMPY PANDAS NODEJS R TYPESCRIPT ANGULAR GIT POSTGRESQL MONGODB ASP AI GO KOTLIN SASS VUE DSA GEN AI SCIPY AWS CYBERSECURITY DATA SCIENCE
     ❯   

Pandas DataFrame rtruediv() Method

❮ DataFrame Reference


Example

Divide 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.rtruediv(10))
Try it Yourself »

Definition and Usage

The rtruediv() method divides a specified value with each value in the DataFrame.

This method is called reverse truediv, and is similar to the truediv() 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.rtruediv(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 the results.


❮ DataFrame Reference

×

Contact Sales

If you want to use W3Schools services as an educational institution, team or enterprise, send us an e-mail:
sales@w3schools.com

Report Error

If you want to report an error, or if you want to make a suggestion, send us an e-mail:
help@w3schools.com

W3Schools is optimized for learning and training. Examples might be simplified to improve reading and learning. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content. While using W3Schools, you agree to have read and accepted our terms of use, cookie and privacy policy.

Copyright 1999-2024 by Refsnes Data. All Rights Reserved. W3Schools is Powered by W3.CSS.