Numpy: Drop rows with all nan or 0 values

Question

I\'d like to drop all values from a table if the rows = nan or 0.

I know there\'s a way to do this using pandas i.e pandas.dropna(how

Answer 1

This will remove all rows which are all zeros, or all nans:

mask = np.all(np.isnan(arr), axis=1) | np.all(arr == 0, axis=1)
arr = arr[~mask]

And this will remove all rows which are all either zeros or nans:

mask = np.all(np.isnan(arr) | arr == 0, axis=1)
arr = arr[~mask]