All Questions

What is numpy.newaxis and when should I use it? Using it on a 1-D array x produces: >>> x array([0, 1, 2, 3]) >>> x[np.newaxis, :] array([[0, 1, 2, 3]]) >>> x[:, np....

What is the difference between ndarray and array in NumPy? Where is their implementation in the NumPy source code?

I have a 3d matrix like this np.arange(16).reshape((4,2,2)) array([[[ 0, 1], [ 2, 3]], [[ 4, 5], [ 6, 7]], [[ 8, 9], [10, 11]], [[12, 13], ...

What is the purpose of np.meshgrid? I know it creates some kind of grid of coordinates for plotting, but I can't see the direct benefit of it. The official documentation gives the following example, ...

I would like to multiply tensors R = {R_1, R_2, ..., R_M} and X = {X_1, X_2, ..., X_M} where R_i and X_i are 3×3 and 3×N_i matrices, respectively. How can I make maximum use of NumPy functionalities ...

Consider a 3D array array_3d with shape (3, 2, 2): array_3d = np.array([ [[ 0, 1], [ 2, 3]], [[ 4, 5], [ 6, 7]], [[ 8, 9], [10, 11]] ]) array_3d.shape = (3, 2, 2) ...

Given a 2D Numpy array, I'd like to be able to pad it on the left, right, top, bottom side, like the following pseudo-code. Is there anything like this already built into Numpy? import numpy as np a =...

I need some help in understanding the equations involved in finding the index of an element in an ndarray. I have been reading the Book "Guide to NumPy" by Travis A Oliphant. Link to the ...

I am trying to compute the following function: geo-decay-function: in numpy, has to be vectorized. The catch in this case is that it should work for multidimensional inputs. E.g., x having dimensions ...

import numpy as np y = np.array(((1,2,3),(4,5,6),(7,8,9))) OUTPUT: print(y.flatten()) [1 2 3 4 5 6 7 8 9] print(y.ravel()) [1 2 3 4 5 6 7 8 9] Both function return the ...

I have a 3D numpy array of shape (8, x, y) where x and y can be any integer value from 0 to ~500. These 8 "layers" of shape (x, y) each represent a possible z value at a specific point on a ...

In the numpy documentation of subclassing ndarray here. It is said that ndarray.__new__, passes __array_finalize__ the new object, of our own class (self) as well as the object from which the view ...

I am trying to rewrite an numpy function such that it can deal with 2d and 3d inputs. Consider the following code: import numpy as np def adstock_geometric(x: np.array, theta: np.array): x_decayed ...

I always get find myself in state of confusion when dealing with a multi-dimensional array. Imaging having the following array of arrays, where each array contains feature importance scores (3-...

I am considering arrays of shape (n,2) for arbitrary n. I want to check whether the two-element sub-arrays match. As an example: import numpy as np a=np.array([[1,0],[2,0]]) b=np.array([[1,0],[2,0]]) ...