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

You can use a conditional list comprehension:

>>> dff[[c for c in dff if dff[c].isnull().sum() < 2]]
          A         B
0 -0.819004  0.919190
1  0.922164  0.088111
2  0.188150  0.847099
3       NaN -0.053563
4  1.327250 -0.376076
5  3.724980  0.292757
6 -0.319342       NaN
7 -1.051529  0.389843
8 -0.805542 -0.018347
9 -0.816261 -1.627026