Count unique values numpy

number_list = numpy.array([1, 1, 2, 3, 4, 4, 1])
(unique, counts) = numpy.unique(number_list, return_counts=True)

Source: kite.com

Numpy array count frequency

import numpy as np

x = np.array([1,1,1,2,2,2,5,25,1,1])
unique, counts = np.unique(x, return_counts=True)

print np.asarray((unique, counts)).T

Source: stackoverflow.com

How to find unique values in numpy array

>>> a = np.array([[1, 0, 0], [1, 0, 0], [2, 3, 4]])
>>> np.unique(a, axis=0)
array([[1, 0, 0], [2, 3, 4]])

Source: numpy.org

How to find unique values in numpy array

>>> a = np.array(['a', 'b', 'b', 'c', 'a'])
>>> u, indices = np.unique(a, return_index=True)
>>> u
array(['a', 'b', 'c'], dtype='<U1')
>>> indices
array([0, 1, 3])
>>> a[indices]
array(['a', 'b', 'c'], dtype='<U1')

Source: numpy.org

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