Category "numpy"

Use numpy.load on file within zipfile

I have a zipfile which contains many npy files (file1.npy, file2.npy, file3.npy, ...). I would like to load them individually without extracting the zipfile on

How can I map True/False to 1/0 in a Pandas DataFrame?

I have a column in python pandas DataFrame that has boolean True/False values, but for further calculations I need 1/0 representation. Is there a quick pandas/n

Quick way to access first element in Numpy array with arbitrary number of dimensions?

I have a function that I want to have quickly access the first (aka zeroth) element of a given Numpy array, which itself might have any number of dimensions. W

A way to get the local minima and maxima of a vector

I've been trying to retrieve the extrema of a vector that looks like this : [![First case][1]][1](source: noelshack.com) or like this : [![Second case][2]][2](s

NumPy fancy indexing with provided output array

I have a two-dimensional array and index it with a pair of arrays (in fact my arrays are much larger, millions of elements): a = np.array([[1, 2, 3], [4, 5, 6]

I m trying to convert the pixels which is painted black to another color but ı got an error l

import cv2 import numpy as np image = cv2.imread('images1.png') ss=[] for x in range (0,260,1): for y in range(0,190,1): if image[y,x]==[0,0,0]

I m trying to convert the pixels which is painted black to another color but ı got an error l

import cv2 import numpy as np image = cv2.imread('images1.png') ss=[] for x in range (0,260,1): for y in range(0,190,1): if image[y,x]==[0,0,0]

I m trying to convert the pixels which is painted black to another color but ı got an error l

import cv2 import numpy as np image = cv2.imread('images1.png') ss=[] for x in range (0,260,1): for y in range(0,190,1): if image[y,x]==[0,0,0]

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