Unique values from Numpy Array

Question

How do I extract unique values from an ndarray?

import numpy as np

arr = np.array([[1, 2, 2], [2, 2, 3]], np.int32)

set(arr)

Traceback (most recent call last):
  File "/home/me/PycharmProjects/project/example.py", line 6, in <module>
    print(set(arr))
TypeError: unhashable type: 'numpy.ndarray'

https://stackoverflow.com/a/15637512/7955271 suggests `pandas.unique()` is faster FYI — Vin, Nov 29 '22 at 15:29

score 1 · Accepted Answer · answered Nov 29 '22 at 15:15

1

import numpy as np

arr = np.array([[1, 2, 2], [2, 2, 3]], np.int32)

print(arr)
print(np.unique(arr))

[[1 2 2]
 [2 2 3]]

[1 2 3]

Documentation

answered Nov 29 '22 at 15:15

DanielBell99

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I wrote this post since there was no direct question on this topic. I'll accept the answer in 48hrs. – DanielBell99 Nov 29 '22 at 15:15

Unique values from Numpy Array

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