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How to replace text in a string column of a Pandas DataFrame?

Given a Pandas DataFrame, we have to replace text in a string column.
Submitted by Pranit Sharma, on June 13, 2022

Pandas is a special tool that allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and the data. The Data inside the DataFrame can be of any type.

Suppose that the type of data inside the DataFrame is of string type and we need to replace some string with some other string, we will use pandas.Series.str.replace() method.

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,

Python code to replace text in a string column of a Pandas DataFrame

# Importing pandas package
import pandas as pd

# Importing numpy package
import numpy as np

# Creating a dictionary
d = {
    'Plan':['Study','Play','Sleep'],
    'Time':['10-00','12-00','01-00']
}

# Creating a DataFrame
df = pd.DataFrame(d)

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

# Replacing the '-' with ':' in time column
df['Time'] = df['Time'].replace('-',':',regex=True)

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

Output:

Example: Replace text in a string column

Python Pandas Programs »



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