Unusual file formats within your day-to-day document management and modifying processes can create instant confusion over how to modify them. You might need more than pre-installed computer software for efficient and fast file modifying. If you want to delete code in csv or make any other simple change in your file, choose a document editor that has the features for you to deal with ease. To handle all the formats, such as csv, choosing an editor that actually works properly with all types of documents will be your best choice.
Try DocHub for efficient file management, irrespective of your document’s format. It offers potent online editing tools that simplify your document management operations. It is easy to create, edit, annotate, and share any document, as all you need to access these characteristics is an internet connection and an functioning DocHub account. Just one document tool is everything required. Do not lose time switching between various programs for different documents.
Enjoy the efficiency of working with an instrument designed specifically to simplify document processing. See how straightforward it really is to modify any file, even when it is the very first time you have dealt with its format. Sign up an account now and improve your whole working process.
[Music] hello everyone welcome to geeksforgeeks in this video we are going to see some methods of dropping the columns of our data frame now there are several methods to achieve this and we are going to see them one by one so lets first of all import pandas as pd lets run it now lets create our data frame using a csv file so i am again going to use the bangalore csv file that is about bangalore house prices so lets create df is equal to pd dot read csv and lets define the path so which is bangalore.csv lets see the head so df dot head lets run it and i can see that this is my data frame now we can drop the columns using drop method so let me put the first topic as dropping using drop function right so in this we have to do df dot drop and inside it we have to define a list in which we can define the column name so lets say i want to drop the size column so lets copy it lets paste it inside this as a list element and we have to define the axis as 1. remember that axis is equal