pandas dataframe drop columns by number of nan

Question

I have a dataframe with some columns containing nan. I\'d like to drop those columns with certain number of nan. For example, in the following code, I\'d like to drop any co

Answer 1

There is a thresh param for dropna, you just need to pass the length of your df - the number of NaN values you want as your threshold:

In [13]:

dff.dropna(thresh=len(dff) - 2, axis=1)
Out[13]:
          A         B
0  0.517199 -0.806304
1 -0.643074  0.229602
2  0.656728  0.535155
3       NaN -0.162345
4 -0.309663 -0.783539
5  1.244725 -0.274514
6 -0.254232       NaN
7 -1.242430  0.228660
8 -0.311874 -0.448886
9 -0.984453 -0.755416

So the above will drop any column that does not meet the criteria of the length of the df (number of rows) - 2 as the number of non-Na values.