How to flatten only some dimensions of a numpy array
Is there a quick way to "sub-flatten" or flatten only some of the first dimensions in a numpy array?
For example, given a numpy array of dimensions
(50,100,25), the resultant dimensions would be
Take a look at numpy.reshape .
>>> arr = numpy.zeros((50,100,25)) >>> arr.shape # (50, 100, 25) >>> new_arr = arr.reshape(5000,25) >>> new_arr.shape # (5000, 25) # One shape dimension can be -1. # In this case, the value is inferred from # the length of the array and remaining dimensions. >>> another_arr = arr.reshape(-1, arr.shape[-1]) >>> another_arr.shape # (5000, 25)
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