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Given matrix X with T rows and columns k: T = 50 H = 10 k = 5 X = np.arange(T).reshape(T,1)*np.one… Read more How To Perform A Rolling Sum Along A Matrix Axis?

Purpose I have turned a double for loop into a single for loop using vectorization. I would like to… Read more Broadcasting/vectorizing Inner And Outer For Loops In Python/numpy

In the following code I have written 2 methods that theoretically(in my mind) should do the same th… Read more Numpy ":" Operator Broadcasting Issues

Related to this question, I came across an indexing behaviour via Boolean arrays and broadcasting I… Read more Numpy Indexing: Broadcasting With Boolean Arrays

For example, trying to make sense of these results: >>> x array([0, 1, 2, 3, 4, 5, 6, 7, 8… Read more What Are The Rules For Comparing Numpy Arrays Using ==?

I have a numpy arrary: import numpy as np pval=np.array([[0., 0.,0., 0., 0.,0., 0., 0.], … Read more Numpy Vertical Function :'float' Object Is Not Subscriptable

Is it possible to apply numpy broadcasting (with 1D arrays), x=np.arange(3)[:,np.newaxis] y=np.aran… Read more Numpy Broadcasting With 3d Arrays