Top 10 String methods in Pandas
Last Updated : 12 Mar, 2025
In simple terms, string methods in Pandas are a set of tools that help us manipulate and work with text (also known as strings) in our data. Pandas, which is a powerful Python library for data manipulation, provides a variety of built-in tools to make that job easier. Instead of manually going through each piece of text and making changes, these string methods allow us to do things like:
- Convert all text to lowercase or uppercase
- Remove extra spaces or unwanted characters
- Extract parts of text based on patterns
- Find and replace certain words or characters
String Methods in Pandas
These string methods work in a very efficient way on entire columns of data, so you can modify thousands or even millions of text entries at once without breaking a sweat.
| Method | Description |
|---|
| upper() | Converts a string into uppercase |
|---|
| lower() | Converts a string into lowercase |
|---|
| isupper() | Checks whether the character is uppercase or not |
|---|
| islower() | Checks whether the character is lowercase or not |
|---|
| len() | Identifies the length of the string. |
|---|
| startswith() | Returns true if the element starts with the pattern |
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| split() | Splits the string at a particular index or character |
|---|
| find() | Returns the index at where the given string is found |
|---|
| strip() | Strips whitespaces from each string from both sides. |
|---|
| replace() | Replaces a part of the string with another one. |
|---|
Let's explore each method in detail with example:
We will be using the below data frame for the purpose of the illustration.
Python import pandas as pd sports = pd.Series(['Virat', 'azam', 'fiNch', 'ShakiB', 'STOKES', 'KAne']) print(sports)
Output:
1.) DataFrame.upper()
Convert each string to upper case. This method is useful when normalizing text data for consistency (e.g., converting names or categories to uppercase).
Python print("Upper Case:") print(sports.str.upper()) Output:
2.) DataFrame.lower()
It converts all characters to lowercase and ensure consistency in text data.
Python print("Lower Case:") print(s.str.lower()) Output:
3.) DataFrame.isupper()
It returns boolean values based on whether each character present in the string is in upper case or not.
Python print("Checks whether string is in Upper Case:") print(sports.str.isupper()) Output:
4.) DataFrame.islower()
It returns boolean values based on whether each character present in the string is in lowercase or not.
Python print("Checks whether string is in Lower Case:") print(s.str.islower()) Output:
5.) DataFrame.len()
This function returns the length of each string.
Python print("Length of strings:") print(sports.str.len()) Output:
6.) DataFrame.startswith()
It returns boolean values based on whether the string starts with a certain character sequence or not.
Python print("Checks whether string starts with certain substring:") print(sports.str.startswith('a')) Output:
7.) DataFrame.split()
This function helps to split the string by a certain character or symbols at once.
Python print("Splits string by character 'a':") print(sports.str.split('a')) Output:
8.) DataFrame.find()
This function finds the index of the occurrence of a certain character sequence.
Python print("Find the index of the searched character or substring:") print(sports.str.find('a')) Output:
9.) DataFrame.strip()
It helps to remove the extra trailing spaces from the start and the end.
Python print("Remove extra space from the starting and the end of the string:") print(s.str.strip()) Output:
10.) DataFrame.replace()
This function helps to remove certain character sequence sometimes which are present in all the strings and is undesired.
Python print("Replace a particular substring by desired pattern:") print(sports.str.replace('a', '')) Output:
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