How to Identify and Drop Null Values for Handling Missing Values in Python

Python pandas tutorial for finding missing values in python pandas dataframe and then dropping those null value to clean the dataset.
First I have shown you how you can apply isnull function to return true or false in each cell to indicate whether the cell is having null value or not.
After that I have shown you how you can apply sum function that will summarize the null values for all of the columns to indicate how many missing values are present in each column.
After that I have shown you how you can view the missing values in a specific column in case we are interested in viewing missing value in a specific column and removing it.
After viewing the null values, I have shown how can drop the null values using dropna function and specify the parameters how to indicate whether we want to remove vales in a row or column that is having a single missing values or entire row is having missing value. This option is useful to specify condition based on our needs of dropping null values.

Видео How to Identify and Drop Null Values for Handling Missing Values in Python канала Abhishek Agarrwal