Category : numpy

I have an array A with shape (N,). I am taking N=5 for illustration: A = np.array([0,1,1,0,1]) And I want to transform it to one of the following two NxN matrices. The more efficient solution is preferred. Numpy and Tensorflow are both good. B = np.array([[0,1,1,0,1], [0,1,1,0,1], [0,1,1,0,1], [0,0,0,0,1], [0,0,0,0,1]]) C = np.array([[0,0,0,0,0], [0,1,0,0,0], [0,1,1,0,0], ..

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I’m new to python and I’m trying to follow a tutorial on object detection, but my code calling find (which calls cv.matchTemplate) this error: import cv2 as cv import numpy as np from time import time from random import randint from windowcapture import WindowCapture from vision import Vision #points = get_click_points(‘img2.jpg’, ‘copper.jpg’, threshold=0.55, debug_mode=True) wincap ..

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I have to convert a pandas Series to NumPy array of dtype=float64, this is the code that raises the error: series = pd.Series( [np.random.randn(5), np.random.randn(5), np.random.randn(5), np.random.randn(5)]) res = series.to_numpy() res.astype(np.float64) This is the error I got: —-> 3 res.astype(np.float64) ValueError: setting an array element with a sequence. I want to understand why this raises ..

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Very new to python so apologies for the inelegance of code I have a numpy array with two subarrays: import numpy as np p = 0.50 gen_seq = np.random.binomial(1, p, 20).reshape(2, 10) t_form = np.where(gen_seq == 1, 0.5, -100) initial_w = np.insert(t_form, 0, 100, axis=1) d_account = np.cumsum(initial_w, axis=1) I am trying to find the ..

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