How to change entire row if NaN present if a single column has NaN

Question

I have a DataFrame like this

                    gauge       satellite
1979-06-23 18:00:00 6.700000    2.484378
1979-06-27 03:00:00 NaN         8.891460
1979-06-27 06:00:00 1.833333    4.053460
1979-06-27 09:00:00 NaN         2.876649
1979-07-31 18:00:00 6.066667    1.438324

I want to obtain a DataFrame Like this

                    gauge       satellite
1979-06-23 18:00:00 6.700000    2.484378
1979-06-27 03:00:00 NaN         NaN
1979-06-27 06:00:00 1.833333    4.053460
1979-06-27 09:00:00 NaN         NaN
1979-07-31 18:00:00 6.066667    1.438324

Answer 1

What I will do reindex

df.dropna().reindex(df.index)