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Questions (14)
2024-03-16 15:00:05
Combine np.isin and np.where: a = np.array([[0, 7, 2, 1, 6, 0], [5, 3, 0, 2, 5, 0], [8, 2, 0, 1, 0, 7], [0, 3, 2, 0, 2, 0], [7, 1, 0, 0, 7, 0]],...
Tags: python arrays numpy
2024-03-16 17:00:06
I'd say the most pythonic is: out = [[year, month] for year in years for month in months] There is also itertools.product, but it will give you a list of tuples. from itertools import product out = l...
Tags: numpy
2024-03-17 05:30:04
The error is in line: croppedImage = img[XStart:YStart, XEnd:YEnd] The correct way of slicing the array should be: croppedImage = img[YStart:YEnd, XStart:XEnd] That way each of the cropped images ha...
Tags: python numpy numpy-ndarray
2024-03-17 08:30:04
You need to scale the output by dividing by the number of samples, in this example, 1000. Then, because the input is real and this is a one-sided FFT and there are no negative frequency bins, you mult...

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