Count number of non-NaN entries in every column of Dataframe

Question

I have a really big DataFrame and I was wondering if there was short (one or two liner) way to get the a count of non-NaN entries in a DataFrame. I don\'t want to do this on

Answer 1

If you want to sum the total count values which are not NAN, one can do;

np.sum(df.count())

Answer 2

The count() method returns the number of non-NaN values in each column:

>>> df1.count()
a    3
b    2
d    1
dtype: int64

Similarly, count(axis=1) returns the number of non-NaN values in each row.