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What does .shape [] do in "for i in range (Y.shape [0])"?
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 …
Difference between numpy.array shape (R, 1) and (R,)
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 …
arrays - what does numpy ndarray shape do? - Stack Overflow
Nov 30, 2017 · yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; And you can get the (number of) dimensions of your array using yourarray.ndim or …
python - What does -1 mean in numpy reshape? - Stack Overflow
Sep 9, 2013 · When reshaping an array, the new shape must contain the same number of elements as the old shape, meaning the products of the two shapes' dimensions must be …
PyTorch: How to get the shape of a Tensor as a list of int
Oct 19, 2017 · P.S.: Note that tensor.shape is an alias to tensor.size(), though tensor.shape is an attribute of the tensor in question whereas tensor.size() is a function. Share Improve this answer
What does shape[0] and shape[1] do in python? - Stack Overflow
Jul 21, 2018 · In this case your training set will be of the shape (n,x,y). The fourth dimension in your data is the number of channels (3, or RGB in this case). In your dataset the height and …
python - x.shape [0] vs x [0].shape in NumPy - Stack Overflow
Jan 7, 2018 · x[0].shape will give the Length of 1st row of an array. x.shape[0] will give the number of rows in an array. In your case it will give output 10. If you will type x.shape[1], it will print out …
python - Explaining the differences between dim, shape, rank, …
Mar 1, 2014 · np.dot is a generalization of matrix multiplication. In regular matrix multiplication, an (N,M)-shape matrix multiplied with a (M,P)-shaped matrix results in a (N,P)-shaped matrix.
python - shape vs len for numpy array - Stack Overflow
May 24, 2016 · So maybe df.shape[0] + df.shape[1] is slower than len(df.index) + len(df.columns). Still, performance-wise, the difference should be negligible except for a giant giant 2D …
python - Numpy array dimensions - Stack Overflow
Jun 22, 2023 · In Numpy, dimension, axis/axes, shape are related and sometimes similar concepts: dimension In Mathematics/Physics , dimension or dimensionality is informally …
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