I have two numpy ndarrays, array1 and array 2, with array1.shape = array2.shape = (n, l, m).
A 3rd ndarray is initialized as array3 = np.nan * np.zeros((n-1, l, m + 1)) and is then computed using the following for loop:
for i in range(m):
…
I've multiple .npy files in a directory which contain 2D array of the same shape (row=500,column=55). Due to some constraints, every time I can load 2 files, stack them vertically and slice
to make a new array of shape (432,55). I want to slice…
I have a 4D numpy array. While slicing for multiple indices in a single dimension, my axis get interchanged. Am I missing something trivial here.
import numpy as np
from smartprint import smartprint as prints
a = np.random.rand(50, 60, 70, 80)
b =…
I'm trying to slice an array in a variable way. For example, from row 0 up to row 10, slice the array using a step of 2. From row 10 to row 30 slice it using a step of 3.
Also, it is worth mentioning that I'm trying to do so without writing any…
I am observing that if a is a list (or a numpy array) with elements [1,2,3] and I ask for a[1:-1:-1], then I get the empty list. I would expect to get [2,1] assuming that the slicing spans the indexes obtainable decrementing from 1 to -1 excluding…
I have a 3D numpy array which represents a mask. The "1" elements of this mask are areas where no calculation is done (blue areas in the figure below). The "0" elements of the mask are areas for which a calculation is made.
Each calculation is…
I have the following numpy array
np.array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
I want to compute the elementwise square of second column and third column only by retaining the first column as it is, yielding the…
if I wanted to create a filter for a numpy array for several values how would I write that.
For instance say I want to do this...
clusters = np.array([4, 570, 56, 2, 5, 1, 1, 570, 32, 1])
fiveseventy_idx = np.where((clusters == 1) | (clusters == 570…
I recently came across the following use of numpy from this link numpy randint manual. The last example in this page shows this command with no explanation.
import numpy
x=numpy.random.randint([1, 3, 5, 7], [[10], [20]], dtype=np.uint8)
Can you…
Basically I want this chained slicing to overwrite the value (show the first element as a 2 instead of 1)
tst = np.array([1,2,3,4])
msk1 = [True, False, True, False]
msk2 = [True, False]
tst[msk1][msk2] = 2
tst
> array([1, 2, 3, 4])
I have a 2D array (row*column)row means axis0 and column mean aixs1.
example:
a=np.array([[10,20,30],[40,50,60]])
now when I am trying to access the value(out of range along axis 0)I am getting below Exception which is correct.
print(a[-3][-1])
…
I want help in maxpooling using numpy.
I am learning Python for data science, here I have to do maxpooling and average pooling for 2x2 matrix, the input can be 8x8 or more but I have to do maxpool for every 2x2 matrix. I have created an matrix by…
I'd like to slice a numpy array to get all but the first item, unless there's only one element, in which case, I only want to select that element (i.e. don't slice).
Is there a way to do this without using an if-statement?
x =…
I have a 2d array (n x m) from which I would like to produce a 1d array (length n) using a list of row-indices of length n.
For instance:
2d = ([a,b,c],[d,e,f],[g,h,i]) # input array
1d = ([0,2,1]) # row numbers
result = ([a,e,h]) # array of the…
I have the following segment of for loop in my code. The nested loop is slowing down my complete execution.
for q in range(batchSize):
temp=torch.where((composition_matrix == pred[q]).all(dim=1))[0]
if len(temp)==0:
output[q]=0
…