Creating conditional columns on Pandas with Numpy select() and where() methods
Some of the most useful Pandas tricks
Published in
5 min readOct 16, 2020
Pandas is an amazing library that contains extensive built-in functions for manipulating data. Although the built-in functions are capable of performing efficient data analysis, incorporating methods from other library adds value to Pandas.
