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Showing posts with the label Array Broadcasting
Np Array Dot Product Of Vector And Array

Np Array Dot Product Of Vector And Array

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I have a problem in understanding the working behind the numpy dot function and broadcasting.Below … Read more Np Array Dot Product Of Vector And Array
Numpy Symmetric 4d Matrix Construction

Numpy Symmetric 4d Matrix Construction

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I would like to construct an array with the following structure: A[i,j,i,j,] = B[i,j] with all oth… Read more Numpy Symmetric 4d Matrix Construction
Subtract A Column Vector From Matrix At Specified Vector Of Columns Using Only Broadcast

Subtract A Column Vector From Matrix At Specified Vector Of Columns Using Only Broadcast

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I want to subtract a column vector from a numpy matrix using another vector which is index of colu… Read more Subtract A Column Vector From Matrix At Specified Vector Of Columns Using Only Broadcast
Numpy Broadcasting With 3d Arrays

Numpy Broadcasting With 3d Arrays

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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
Broadcasting/vectorizing Inner And Outer For Loops In Python/numpy

Broadcasting/vectorizing Inner And Outer For Loops In Python/numpy

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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
How To Perform A Rolling Sum Along A Matrix Axis?

How To Perform A Rolling Sum Along A Matrix Axis?

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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?