Replace the value in the DataFrame using regex and pandas

Pandas Library is used to perform complex manipulations of data effectively and efficiently. Inside pandas, we are using data in the form of a Data Frame. A regular expression (Regex) is a sequence of information. It is defined as to search pattern. It is also described as a regex that accepts a certain set of strings and rejects the rest. To add, remove, isolate, and manipulate all kinds of text and data, Regex can be used. It is also used as a simple text editor command. We use regular expressions when you want to search and replace specific text patterns.  

It is used for pattern matching, parsing, filtering of results, and so on. Once we learn the regex syntax, we can use it for almost any language. We can also use Pandas replace() to replace a string, Regex, dictionary, list, and series from the Data Frame. Using this method, the values of the Data Frame can be replaced with other values. It is capable of working with Python regex(regular expression). It differs from .loc or .iloc. It requires you to specify a location where you want to update with some value. 

Parameters: 

• to_replace: We can replace a value with another value in Data Frame. 
• value: It fills the empty place in the Data Frame. 
• inplace: It replaces the place if it is True. 
• limit: It defines the maximum size gap to the front, or back side fill. 
• regex: It checks whether to_replace and/or value as regular expressions. to_replace must be a string if it is True. Otherwise, to_replace must be None. 
• Returns: After the replacement, it returns a Data Frame object. 

Here is an example of how to replace the value in the Data Frame using Regex and Pandas: 

Preview of the output that you will get on running this code from your IDE.

Code

In this solution we used pandas library and regex function of python.

Instructions

Follow the steps carefully to get the output successfully:

1. Download and Install PyCharm on your Computer.
2. Create a New Python file on your IDE.
3. Copy the code using the "Copy" button above, and paste it into a Python file.
4. Run the file to generate the output.

I hope you found this useful. I have added the link to dependent libraries, and version information in the following sections.

I found this code snippet by searching for "Replace the value in the DataFrame using regex and pandas"in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in Python 3.11.1 Version
2. The solution is tested on pandas 1.5.2 Version

Using this solution, we can Replace the value in the DataFrame using regex and pandas.This process also facilities an easy to use, hassle free method to create a hands-on working version of code in python.

Dependent Library

If you do not have pandas library that is required to run this code, you can install it by clicking on the above link.

You can search for any dependent library on kandi like pandas.

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