PYTHON

count unique values numpy

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

how to find unique values in numpy array

>>> a = np.array([1, 2, 6, 4, 2, 3, 2])
>>> u, indices = np.unique(a, return_inverse=True)
>>> u
array([1, 2, 3, 4, 6])
>>> indices
array([0, 1, 4, 3, 1, 2, 1])
>>> u[indices]
array([1, 2, 6, 4, 2, 3, 2])

how to find unique values in numpy array

>>> a = np.array([1, 2, 6, 4, 2, 3, 2])
>>> values, counts = np.unique(a, return_counts=True)
>>> values
array([1, 2, 3, 4, 6])
>>> counts
array([1, 3, 1, 1, 1])
>>> np.repeat(values, counts)
array([1, 2, 2, 2, 3, 4, 6])    # original order not preserved

NumPy unique Example Get the counts of each unique value

# welcome to softhunt.net
import numpy as np

duplicates = np.array([2,3,3,4,5,5,1,5,4,6,7,5,1,5,3,5,1,3])

# GET UNIQUE VALUES
ans = np.unique(duplicates, return_counts = True)
print(ans)

numpy array unique value counts

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

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]])

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')

NumPy unique Example Get unique values from a 1D Numpy array

# welcome to softhunt.net
import numpy as np

duplicates = np.array([2,3,3,4,5,5,1,5,4,6,7,5,1,5,3,5,1,3])

# GET UNIQUE VALUES
ans = np.unique(duplicates)
print(ans)

how to find unique values in numpy array

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