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Alex Rivera
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Let's say I have the following 2D numpy array consisting of four rows and three columns: >>> a = numpy.arange(12).reshape(4,3) >>> print(a) [[ 0 1 2] [ 3 4 5] [ 6 7 8] [ 9 10 11]] What would be an efficient way to generate a 1D array that contains the sum of all columns (like [18, 22, 26] )? Can this be done without having the need to loop through all columns?
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