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I have a numpy array like this import numpy as np ar = np.array([1, 2, 3, 4]) and I want to creat… Read more Create A Matrix From A Vector Where Each Row Is A Shifted Version Of The Vector

I have an array of shape [batch_size, N], for example: [[1 2] [3 4] [5 6]] and I need to crea… Read more Vectorized Creation Of An Array Of Diagonal Square Arrays From A Liner Array In Numpy Or Tensorflow

Data: theta is a vector of N angles. Question: How to create a vector of N 2D rotation matrix from … Read more How To Vectorize The Creation Of N Rotation Matrix From A Vector Of Angles?

Given two arrays, say arr = array([10, 24, 24, 24, 1, 21, 1, 21, 0, 0], dtype=int32) rep = arr… Read more Numpy Repeat For 2d Array

following up on another question import numpy as np repeat=int(1e5) r_base = np.linspace(0,4,5) a_… Read more Conditional Vectorized Calculation With Numpy Arrays Without Using Direct Masking

I want to apply arbitrary function to 3d-ndarray as element, which use (3rd-dimensional) array for … Read more How Do I Apply Function To Third-dimension Array Effectively With Numpy?

I'm doing some matrix calculations (2d) that only involve values in the upper triangle of the m… Read more Is There A Way To Speed Up Numpy Array Calculations When They Only Contain Values In Upper/lower Triangle?

I have two 2D numpy arrays, for example: A = numpy.array([[1, 2, 4, 8], [16, 32, 32, 8], [64, 32, 1… Read more How To Check If All Elements Of A Numpy Array Are In Another Numpy Array