Sep 9, 2013 · b = numpy.reshape(a, -1) you are only saying for the numpy.reshape to automatically calculate the size of the vector (rows x columns) and relocate it into a 1-D vector with that dimension.

Jan 23, 2013 · 1 numpy has a great tool for this task ("numpy.reshape") link to reshape documentation

Aug 31, 2017 · From np.reshape docs You can think of reshaping as first raveling the array (using the given index order), then inserting the elements from the raveled array into the new array using the …

Apr 2, 2015 · How does numpy reshape works? Asked 10 years, 8 months ago Modified 3 years, 1 month ago Viewed 12k times

Sep 25, 2012 · Note that np.reshape also accepts an optional keyword order that lets you switch from row-major C order to column-major Fortran order. np.reshape is the function version of the a.reshape …

Apr 4, 2018 · In numpy, we use ndarray.reshape() for reshaping an array. I noticed that in PyTorch, people use torch.view() for the same purpose, but at the same time, there is also a torch.reshape() …

Sep 17, 2019 · reshaping data in numpy with (-1,1). What does it mean? Asked 6 years, 3 months ago Modified 6 years, 3 months ago Viewed 27k times

Oct 5, 2021 · Reshape of original is a view: True #<- a, a.reshape share memory Transpose sharing memory: True #<- a, a.T share memory Reshape of transpose is a view: False #<- a.T, a.T.reshape …

Jan 21, 2017 · x = x.reshape(10, -1) internally what numpy does is just calculating 10000 / 10 to get the missing dimension. -1 can even be on the start of the array or in the middle. the above two examples …

Sep 17, 2016 · b_new = b.reshape((10, 1)) The amount of memory used should not differ at all between the 2 shapes. Numpy arrays use the concept of strides and so the dimensions (10,) and (10, 1) can …