Pandas: How to replace all values in a column, based on condition?

Given a Pandas DataFrame, we have to replace all values in a column, based on the given condition.
Submitted by Pranit Sharma, on May 29, 2022

Columns are the different fields that contain their particular values when we create a DataFrame. We can perform certain operations on both rows & column values.

By replacing all the values based on a condition, we mean changing the value of a column when a specific condition is satisfied.

This task can be done in multiple ways, we will use pandas.DataFrame.loc property to apply a condition and change the value when the condition is true.

To work with pandas, we need to import pandas package first, below is the syntax:

import pandas as pd

Let us understand with the help of an example.

# Importing pandas package
import pandas as pd

# creating a dictionary of student marks
d = {

# Now we will create DataFrame
df = pd.DataFrame(d)

# Viewing the DataFrame

# Replacing thr values of column Format
df.loc[(df.Format == 'ODI' ), 'Format'] = 'TEST'

# Display modified DataFrame
print("Modified DataFrame:\n",df)


Example: Replace all values in a column

Python Pandas Programs »


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