Pandas Backward Fill from Another Column

share link

by Abdul Rawoof A R dot icon Updated: Jan 31, 2023

technology logo
technology logo

Solution Kit Solution Kit  

Backward fill from another column refers to a process where missing values in one column of a Pandas DataFrame are filled with the values from the previous row of another column. This is done using the .bfill() method, which stands for "backward fill." 


There are several potential applications for using the .bfill() method to backward fill missing values in a column of a Pandas DataFrame from the values of another column. Some examples include: 

  • Data cleaning and pre-processing: Backward fill can ensure that the data is complete and ready for further analysis. 
  • Time series analysis: In time series data, the backward fill can ensure that the data is consistent and complete over a given period. 
  • Financial analysis: In financial data, the backward fill can ensure that the data is consistent and complete over a given period. 
  • Machine Learning: In machine learning, the backward fill can ensure that the data is complete and ready for training a model. 


Here is how to use Pandas backward fill from another column: