Pandas - Text Data 2 | Find, Replace, Count, Isnumeric, get_dummies, Rename, Drop Rows, Drop Columns

This is the second video in the series where we are learing to deal with character variables. This is going to be helpful for the chalanges you usually face during data cleaning work.

In this video we have covered:

00:00 - Introduction
01:55 - Find | How to find a pattern in a column in pandas dataframe | How to find a value in a column in pandas dataframe
03:02 - Repalce | How to replace a string/part of string/value in a character column in a pandas dataframe
04:11 - Count | How to count for a particular patter in a column in pandas dataframe
05:32 - Isnumeric | How to check if a character column also contains some numbers or numeric values
07:05 - Get_dummies | How to create dummy variable/columns in pandas dataframe | How to convert a categorical variable into binary form
13:18 - Drop | How to drop/delete/remove a column or a list of columns from a pandas dataframe
14:46 - Rename | How to rename a column or list of columns in pandas dataframe

This video doesn't cover the findall function, kindly ignore that when it has been suggested to cover in the begining of the video.

If you want to learn filtering the data in detail, you are recomended to watch the below mentioned videos for better understanding:
Part 1 -    • Filtering Pandas Dataframe With Single Or ...  
Part 2 -    • Filtering Pandas Dataframe with .str.conta...  
Part 3 -    • Filtering Pandas Dataframe with DF.QUERY, ...  

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