Python, numpy sort array

Question

I'am using numpy and have an array (ndarray type) which contain some values. Shape of this array 1000x1500. I reshaped it

brr = np.reshape(arr, arr.shape[0]*arr.shape[1])

when I try

brr.reverse()

I get the following error:

AttributeError: ‘numpy.ndarray’ object has no attribute ‘reverse’

How I can sort this array ?

Doesn't solve your problem, but to make your code a little neater and more efficient you can use arr.size instead of arr.shape[0]*arr.shape[1]. — Junuxx
– Junuxx, Commented Feb 14, 2013 at 12:59
I want to sort it descending. Btw sort() give the same error — user2046488
– user2046488, Commented Feb 14, 2013 at 13:12

Thorsten Kranz · Accepted Answer · 2013-02-14 13:38:33Z

If you just want to reverse it:

brr[:] = brr[::-1]

Actually, this reverses along axis 0. You could also revert on any other axis, if the array has more than one.

To sort in reverse order:

>>> arr = np.random.random((1000,1500)) >>> brr = np.reshape(arr, arr.shape[0]*arr.shape[1]) >>> brr.sort() >>> brr = brr[::-1] >>> brr array([ 9.99999960e-01, 9.99998167e-01, 9.99998114e-01, ..., 3.79672182e-07, 3.23871190e-07, 8.34517810e-08])

or, using argsort:

>>> arr = np.random.random((1000,1500)) >>> brr = np.reshape(arr, arr.shape[0]*arr.shape[1]) >>> sort_indices = np.argsort(brr)[::-1] >>> brr[:] = brr[sort_indices] >>> brr array([ 9.99999849e-01, 9.99998950e-01, 9.99998762e-01, ..., 1.16993050e-06, 1.68760770e-07, 6.58422260e-08])

Thanks! Tried argsort() with no luck. Did not knew about [::-1]

Hima · Accepted Answer · 2014-07-28 13:48:02Z

Try this for sorting in descending order ,

import numpy as np a = np.array([1,3,4,5,6]) print -np.sort(-a)

rafaelvalle · Accepted Answer · 2017-06-02 02:19:16Z

4

To sort a 1d array in descending order, pass reverse=True to sorted. As @Erik pointed out, sorted will first make a copy of the list and then sort it in reverse.

import numpy as np import random x = np.arange(0, 10) x_sorted_reverse = sorted(x, reverse=True)

edited Jun 2, 2017 at 2:19

answered Jan 11, 2015 at 17:36

rafaelvalle

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2 Comments

Erik Over a year ago

sorted uses python's iterable sort, which will first copy all of the data into a list and then do the sort in reverse. While this does indeed result in a reverse sorting of the data, it doesn't do so in numpy, and generally removes any benefit of using numpy.

rafaelvalle Over a year ago

Thanks for sharing this, Erik. I added it to the answer.

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