Pandas - Delete Rows with only NaN values

Question

I have a DataFrame containing many NaN values. I want to delete rows that contain too many NaN values; specifically: 7 or more.

I tried using the dr

Answer 1

Basically the way to do this is determine the number of cols, set the minimum number of non-nan values and drop the rows that don't meet this criteria:

df.dropna(thresh=(len(df) - 7))

See the docs

Answer 2

The optional thresh argument of df.dropna lets you give it the minimum number of non-NA values in order to keep the row.

df.dropna(thresh=df.shape[1]-7)