PYTHON

numpy find rows containing nan

# in each case returns array of bool
np.isnan(a).any(axis=1) # rows where any value is nan
np.isnan(a).all(axis=1) # rows where all values are nan

python numpy array check if all nans

np.all(np.isnan(numpy_array))

check nan values in a np array

array_has_nan = np.isnan(array_sum)

numpy find columns containing nan

# in each case returns array of bool
np.isnan(a).any(axis=0) # columns where any value is nan
np.isnan(a).all(axis=0) # columns where all values are nan