Linked Questions

How can I remove duplicate rows of a 2 dimensional numpy array? data = np.array([[1,8,3,3,4], [1,8,9,9,4], [1,8,3,3,4]]) The answer should be as follows: ans = ...

I have 3D numpy array and I want only unique 2D-sub-arrays. Input: [[[ 1 2] [ 3 4]] [[ 5 6] [ 7 8]] [[ 9 10] [11 12]] [[ 5 6] [ 7 8]]] Output: [[[ 1 2] [ 3 4]] [[ 5 6] [...

I have a set of discretized coordinates in a Nx2 numpy.ndarray. I would like to get the counts and indices of each of these unique coordinate sets. numpy.unique does exactly this, but for scalar ...

I'm very badly stuck, and every pythonista I've asked can't seem to help. I'm using vstack to create an array of vectors in a loop like this: Corr = np.vstack((Corr, S)) I need to remove repeating ...

In numpy, is there a nice idiomatic way of testing if all rows are distinct in a 2d array? I thought I could do len(np.unique(arr)) == len(arr) but this doesn't work at all. For example, arr = np....

I have a 2D np array containing str values. I would like to get a count of the unique arrays (rows) that make up this 2D array. This would be the example input: array([[A, B, C], [A, B, C], ...

My problem is that my data isn't a good representation of what is really going on because it has a lot of duplicate rows. Consider the following- a b 1 23 42 2 23 42 3 23 42 4 14 ...

I have some simple code and I just want to count the number of distinct columns in the product of two matrices. The code is import numpy as np import itertools n = 5 h = 2 M = np.random.randint(2, ...

How can I efficiently iterate over all h by n arrays made of 0s and 1s where all the rows and all the columns are distinct? At the moment I do this. h = 10 n = 15 hxn = np.arange(h*n).reshape(h, -1) ...

I want to iterate over an array of arrays and skip to the next array if I've already read the same array. The following code works, but I'm searching a more 'pythonic' style solution. from sklearn ...

I have a list A containing an array with indices. I want to print all the unique index numbers by scanning each [i,j]. In [0,3], i=0,j=3. I present the expected output. import numpy as np A=[np.array([...

Let's consider a 2d-array A 2 3 5 7 2 3 5 7 1 7 1 4 5 8 6 0 2 3 5 7 The first, second and last lines are identical. The algorithm I'm looking for should return an 2d-...

I have a DataFrame that has duplicated rows. I'd like to get a DataFrame with a unique index and no duplicates. It's ok to discard the duplicated values. Is this possible? Would it be a done by ...

I have an array X: X = np.array([[4, 2], [9, 3], [8, 5], [3, 3], [5, 6]]) And I wish to find the index of the row of several values in ...

I have an image img: >>> img.shape (200, 200, 3) On pixel (100, 100) I have a nice color: >>> img[100,100] array([ 0.90980393, 0.27450982, 0.27450982], dtype=float32) Now my ...