python unique array of array numpy
>>> import numpy as np
>>> x = np.array([[1, 1], [2,3], [3,4]])
>>> np.unique(x)
array([1, 2, 3, 4])python unique array of array numpy
>>> import numpy as np
>>> x = np.array([[1, 1], [2,3], [3,4]])
>>> np.unique(x)
array([1, 2, 3, 4])numpy unique axis
#As of NumPy 1.13, one can simply choose the axis for selection of unique values in any N-dim array. To get unique rows, one can do:
import numpy as np
unique_rows = np.unique(original_array, axis=0)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
>>> 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])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 preservedhow 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')Copyright © 2021 Codeinu
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