How to set a cell to NaN in a pandas dataframe

Question

I\'d like to replace bad values in a column of a dataframe by NaN\'s.

mydata = {\'x\' : [10, 50, 18, 32, 47, 20], \'y\' : [\'12\', \'11\', \'N/A\', \'13\', \         


        

Answer 1

Most replies here need to import numpy as np

There is a built-in solution into pandas itself: pd.NA, to use like this:

df.replace('N/A', pd.NA)