How to find most frequent values in numpy ndarray?

Question

I have a numpy ndarray with shape of (30,480,640), the 1th and 2th axis representing locations(latitude and longitute), the 0th axis contains actual data points.I want to us

Answer 1

A slightly better solution in my opinion is the following

tmpL = np.array([3, 2, 3, 2, 5, 2, 2, 3, 3, 2, 2, 2, 3, 3, 2, 2, 3, 2, 3, 2])
unique, counts = np.unique(tmpL, return_counts=True)
return unique[np.argmax(counts)]

Using np.unique we can get the count of each unique elements. The index of the max element in counts will be the corresponding element in unique.