the following is what I want to achieve. Is there a way to do this efficiently with Numpy or other methods in Python? Since my data would be big. I would like to do it more efficiently. Thank you in advance. import numpy as np x = np.arange(6).reshape(3,2) y = np.arange(10).reshape(5,2) z = np.zeros((len(x), len(y)))… Read More Numpy calculate product of differences of two matrices against all rows in matrix

the following is what I want to achieve. Is there a way to do this efficiently with Numpy or other methods in Python? Since my data would be big. I would like to do it more efficiently. Thank you in advance. import numpy as np x = np.arange(6).reshape(3,2) y = np.arange(10).reshape(5,2) z = np.zeros((len(x), len(y)))… Read More Numpy calculate product of differences of two matrices against all rows in matrix

My input is a list of numbers that are not necessarily sorted but for the example I made a simple one : my_list = [0, 1, 2, 3, 4] I want to repeat it n times horizontaly but when i is odd we need to reverse the list : # [[0, 4, 0, 4, 0,… Read More How to repeat a list n times and reverse its elements alternately?

So i’m trying to do some math on this vector in numpy but defining it just yields an error. I tried defining the vector like this: vert = np.array([1.7, 0.7782, -0.4158，1.0]) and it errored like this: vert = vert = np.array([1.7, 0.7782, -0.4158，1.0]) ^ SyntaxError: invalid decimal literal I tried removing the negative sign but… Read More Numpy "SyntaxError: invalid decimal literal"

With the dataframe below I want to compare the values in Val1 with the value in the preceding row by group. I then want to create a new column containing the word "Abv" if the value is greater than the preceding row and "Blw" if the value is lower than the predecing row. If the… Read More Check if Value Greater than Previous Row by Group

import pandas as pd import numpy as np s = [ "S" + str(i) for i in range(1,101)] c = [ "C" + str(i) for i in range(1,51)] arr1 = np.random.randn(len(c),len(s)) arr2 = np.random.randn(len(c),len(s)) How to create and fill pandas dataframe df with 100 * 50 = 5000 rows for each possible s and c… Read More How to fill a pandas dataframe from two 2d numpy arrays in an efficient way?

I am trying to do a Fibonacci kata in one line of code but I can’t find the Fibonacci sequence that we find well in the matrix variable only. Does anyone have an idea of how I can iterate the matrix variable to get each number out? Here is the code: import numpy as np… Read More Why do I find different numbers than expected when I use np.nditer with a 2D Numpy array?

I am facing a difficulty with a package for building beautiful tables. I would like gradJ to be updated in parts, just like the term i. I would like to see this: +—+———————+ | i | GradJ | +—+———————+ | 0 | [1. 0. 0. 0. 0. 0.] | | 1 | [1. 2. 0.… Read More prettytable is updating all rows in the table

I’ve got a Numpy array like this one : source = np.array([[[0,0,0],[0,0,1],[0,1,0],[1,0,0],[1,0,1],[1,1,0],[1,1,1]]]) And I’m trying to compare it to an other array, which has shorter Axis2 and duplicates in Axis3 : values = np.array([[[0,1,0],[1,0,0],[1,1,1],[1,1,1],[0,1,0]]]) My goal is to have an array of booleans as long as the longest : [False, False,True,True,False,False,True] I’ve tried these command… Read More Numpy : check if any array in 3D array is in another shorter 3D array with duplicates

Apologies if the title is not very clear. I’m having some difficulty framing the question. I have two numpy arrays of N X M dimensions. For simplicity, assume they both have shape (2,10). The first array is composed of floats. For example: [[0.1,0.02,0.2,0.3,0.013,0.7,0.7,0.11,0.18,0.6], [0.23,0.02,0.1,0.1,0.011,0.3,0.4,0.4,0.4,0.5]] The second array is composed of 0’s and 1’s. For example:… Read More How to find all combinations of values in rows of an M x N array