I am confusing in using custom dtype of numpy array which is converting the element of the list to be tuple. np.empty (1000, dtype = [('a',int), ('b','S4')]) t
I would like to create a vector of the same matrix in numpy (so as an array). Let's say the matrix is: w = np.array([[1,2], [3,4], [
I know this problem has been answered previously in the link below,but it does not apply to my situation.(Tensorflow - ValueError: Failed to convert a NumPy arr
For 1D vector/array it's easier. For example: array1 = [1, 2, 3] array2 = [1, 1, 1] manhattan distance will be: (0+1+2) which is 3 import numpy as np def city
I'm trying to plot a stellar orbit in a given potential. First, I initialize the position and velocity, and derive the acceleration from the position according
Given a tensor b, and I would like to extract N elements in each row that satisfy a specific condition. For example, suppose a is a matrix that indicates whethe
I have a 3x1 point vector representing the start point of some line, and a 3x1 point vector representing the end of some line. I would like to sample an arbitra
I am using the networkx as nx. After creating a graph object (G), I use the data = nx.spring_layout(G) method to generate a dictionary (pos). Generating this po
I have a function which writes an array to a compressed *.npz file: def save_a(file): np.savez_compressed(file, a=[[1, 2, 3]]) I want to make a function
I recently asked this question, about converting n 2-dimensional arrays to a dataframe with 2+n columns. The solution I got works perfectly well, but can not ea
I have a numpy array of np.shape=(n,) I am attempting to iterate through each value of the array and subtract the 2nd value from the 1st, then see if the differ