I am trying to make a function where if the last value of order is 1 then the code will append 1 to orders and then append the number 20 to the value array as well. If the last value is 0 in order …

I am trying to make a function where if the last value of order is 1 then the code will append 1 to orders and then append the number 20 to the value array as well. If the last value is 0 in order …

I created nested dictionary to keep multiple values for each combination, example rows in the dictionary is as follows:- dict = {‘A’: {B: array([1,2,3,4,5,6,7,8,9,10]), C: array([array([1,2,3,4,5,6,7,…

I use numpy.argsort all the time for 1D data, but it seems to behaving differently in 2D. For example, let’s say I want to argsort this array along axis 1 so the items in each row are in ascending …

import numpy as np n1=np.array([10,20,30,40,50,60]) n2=np.array([50,60,70,80]) np.sum([n1,n2]) ValueError Traceback (most recent call last)

The std pandas function below calculates the standard deviation of every nth value defined by number. So it would take the the values of PC_list with indexes [0,1,2,3,4,5] and calculate the standard …

In this question I have to create a TicTacToe game in python which will run in terminal. This is a 2player game and if any player wins by the rules of TicTacToe, Winner = player 1/2 has to be printed….

I have a 1d array and 2d array a = [4,7,10] b = [[1,2,3],[4,5,6],[7,8,9]] a.shape = (2,) b.shape = (3,3) I want: c = [[1,2,3,4],[4,5,6,7],[7,8,9,10]] c.shape = (3,4) I tried np.vstack, np.concenrate …

I have a set of data as such: interactions=np.array([[0,1], [0,2], [0,3], [1,2], [1, 4], [2, 1], [2,5], [2,7]]) I need to iterate over each value in the first column, find the corresponding maximum …

I have to start looping a vector from its end to zero. When I meet the value 0 I need to replace it with the sum of the three previews values. The exception will be for the first zero met, I need just …

Hello I have a 3d numpy array of shape (nc, nx, ny). I would like to plot it (with matpoltlib) using x and y as the axis, but in such a way that all c values are close to each other and arranged in a …