Drop a List of Row from a Specified DataFrame in Pandas
by Abdul Rawoof A R Updated: Jan 12, 2023
Solution Kit
In this kit, we're going to see how to drop a list of row from a specified dataframe in pandas with simple steps. DataFrame. drop() method you can remove/delete/drop the list of rows from pandas, all you need to provide is a list of rows indexes or labels as a param to this method. By default drop() method removes the rows and returns a copy of the updated DataFrame instead of replacing the existing referring DataFrame. Let us see how to drop a list of rows in a Pandas DataFrame. We can do this using the Pandas drop() function. We will also pass inplace = True and axis=0 to denote row, as it makes the changes we make in the instance stored in that instance without doing any assignment.
Please check the code below to know how to drop a list of row from a specified dataframe in pandas,
Fig : Preview of the output that you will get on running this code from your IDE.
Code
In this solution we're using Pandas library.
Instructions
Follow the steps carefully to get the output easily.
- Install pandas on your IDE(Any of your favorite IDE).
- Copy the snippet using the 'copy' and paste it in your IDE.
- After pasting the code, remove first two lines of code and import pandas library(refer preview of the output).
- Run the file to generate the output.
I hope you found this useful. I have added the link to dependent library, version information in the following sections.
I found this code snippet by searching for 'drop a list of rows from pandas' in kandi. You can try any such use case!
Dependent Library
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)
You can also search for any dependent libraries on kandi like 'pandas'.
Environment Tested
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in PyCharm 2021.3.
- The solution is tested on Python 3.9.7.
- Pandas version-v1.5.2.
Using this solution, we are able to drop a list of row from a specified dataframe in pandas with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to drop a list of row from a specified dataframe in pandas.
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