Joey's Python Pandas tutorial series welcomes you to new video in the series in which you will be learning how to add columns in Pandas dataframes.
Adding columns to Pandas dataframe is a basic task which you should know to speed up the data analysis.
Adding columns is necessary to enrich the data with additional information to facilitate data analysis and manipulation.
If not practised regularly it will seem to you as a daunting task therefore, I want you to follow along with me and give it a try.
This way you'll be one step ahead of your peers.
In this video, you will learn to add columns to a dataframe stud_df which is created using a student.csv file.
Also in this video, I have covered almost every method to add columns to Pandas dataframe. You will find methods like how to add columns to a pandas dataframe using a list, a dictionary, how to use the assign function to add columns to a dataframe, and how to use the insert function to add columns to a Pandas dataframe.
Also, you will be learning how to add a column to a pandas dataframe with default values or how to add a column with the values returned from a function that is applied on another column in the dataframe i.e. , add new column to pandas dataframe based on other columns.
If you're a newbie then this video is for you because I have explained all the methods to add columns to a Pandas dataframe in a beginner friendly way but if you're an intermediate programmer then this video will surely be an important resource to brush up your skills.
Do checkout the Pandas Python tutorial playlist if you haven't already.
• Python Pandas Tutorial
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