Shape n, expresses the shape of a 1D array with n items, and n, 1 the shape of a n-row x 1-column array. (R,) and (R,1) just add (useless) parentheses but still express respectively 1D …

Nov 30, 2017 · For a 1D array, the shape would be (n,) where n is the number of elements in your array. For a 2D array, the shape would be (n,m) where n is the number of rows and m is the …

Mar 27, 2013 · Array shape in python. 8. numpy.array with elements of different shapes. 1. The shape of a sliced array. 1 ...

Jan 7, 2018 · x[0] is the first 1D sub-array which has 1024 elements (there are 10 such 1D sub-arrays in x), and x[0].shape gives the shape of that sub-array, which happens to be a 1-tuple - …

Jun 22, 2023 · np.shape first turns its argument into an array if it doesn't have the shape attribute, That's why it works on the list and tuple examples. – hpaulj Commented Sep 20, 2018 at 14:32

shape is a tuple that gives you an indication of the number of dimensions in the array. So in your case, since the index value of Y.shape[0] is 0, your are working along the first dimension of …

Jun 5, 2015 · Numpy will check that the size of the array does not change, ie prod(old_shape) == prod(new_shape). Because of this relation, you're allowed to replace one of the values in …

Sep 9, 2013 · The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value …

May 15, 2017 · Python numpy ValueError: could not broadcast input array from shape (2,2,3) into shape (2,2) Hot Network Questions A Phrase to Describe Number of People?

which is actually (frames, rows, columns). doing np.zeros((2,2,3,4)).shape instead would mean (metaframs, frames, rows, columns). This makes more sense when you think of creating …