I am porting some Matlab code to Python. In this code there are many instances of a large matrix being sliced in many different ways, eg M(2:45,13:18), M(:12,:), V(4), V(:27), etc. It is technically possible to convert this to numpy notation…
Say I have an array, A1. B1 is another array storing the last two rows of A1. I need to retrieve the first two rows of A1 without slicing as another array (C1). Logically, I'm thinking something like A1 (the whole array) - B1 (the last two rows) =…
I am attempting to read in a FITS file and convert the data into a multidimensional numpy array (So i can easily index the data).
The FITS data is structured like:
FITS_rec([(time, [rate, rate, rate, rate], [ERROR, ERROR, ERROR, ERROR], TOTCOUNTS,…
given a matrix A, e.g. A = np.array([[1,2,3,4],[5,6,7,8]]) and two lists one of row indices and one of column indices, e.g. row=(0,1), column=(0,2) I want to extract the corresponding rows and columns of matrix A in python, so in this example I want…
I am new to numpy.Recently only I started learning.I am doing one practice problem and getting error.
Question is to replace all even elements in the array by -1.
import numpy as np
np.random.seed(123)
array6 =…
x is an array of shape(n_dim,n_row,n_col) of 1st n natural numbers
b is boolean array of shape(2,) having elements True,false
def array_slice(n,n_dim,n_row,n_col):
x = np.arange(0,n).reshape(n_dim,n_row,n_col)
b =…
As in the title, if I have a matrix a
a = np.diag(np.arange(5))
array([[0, 0, 0, 0, 0],
[0, 1, 0, 0, 0],
[0, 0, 2, 0, 0],
[0, 0, 0, 3, 0],
[0, 0, 0, 0, 4]])
How can I assign a new 4x4 matrix or even 3x4 matrix to a…
I have created a very large NumPy array of size 500 x 10000, called first_array, to solve a partial differential equation using the Crank Nicolson method. This method needs to create and use all the data stored in the array, but I only need a small…
I'm trying to build a custom loss function for my model, but whenever I try to convert Tensors into .numpy() arrays with run_eagerly = True, it gives "WARNING: Gradients do not exist for variables ...". So I debugged other custom loss functions…
I have the following code:
deleterowandcolumns = np.array([0,3])
original = np.array ([
[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[13, 14, 15, 16]
])
The rows and columns to…
edited with a clearer example, and included solution
I'd like to slice an arbitrary dimensional array, where I pin the first n dimensions and keep the remaining dimensions. In addition, I'd like to be able to store the n pinning dimensions in a…
I have a an image of the shape (180, 240, 3) and it will be modified according to 3 different numpy arrays that contains the location of each dimension.
So the three numpy arrays looks like this:
height_array = [
90 148 161 165 40 77 73 108 167…
Suppose I have a 6x6 matrix I want to add into a 9v9 matrix, but I also want to add it at a specified location and not necessarily in a 6x6 block.
The below code summarizes what I want to accomplish, the only difference is that I want to use…
I been trying to code the following line but I get the message that operands could not be broadcast together with shapes (0,) (30,)
x has a length of 32
x[:-N+1] I want to access all elements except the last two
x[N:-N] I want to access all…