0

I've seen all the posts on dropping all the "Na"s in a dataset with df.dropna but I've found that all of these methods only apply to strings. If I have an object that is "(NA)" how would I convert these to zeros? Thank you!

Daemon Painter
  • 3,208
  • 3
  • 29
  • 44
slovakia111
  • 1
  • 1
  • Hello and welcome to SO. You don't want to _drop_, since that means removing data. You want to substitute your data. Does [this](https://stackoverflow.com/questions/13295735/how-can-i-replace-all-the-nan-values-with-zeros-in-a-column-of-a-pandas-datafram) answer your question? If no, why? If possible, [edit](https://stackoverflow.com/posts/60889982/edit) your question to add a sample of the data you want to manipulate. – Daemon Painter Mar 27 '20 at 17:11

1 Answers1

0

Use the function fillna 

df['test'] = df.test.fillna(0)

This is will fill the NA values of column "test" with zeros

dp6000
  • 473
  • 5
  • 15