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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 your array
arrays - what does numpy ndarray shape do? - Stack Overflow 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 np ndim() (i e it gives the n of the ndarray since all arrays in NumPy are just n-dimensional arrays (shortly called as ndarrays))
python - What does -1 mean in numpy reshape? - Stack Overflow 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 equal When using a -1, the dimension corresponding to the -1 will be the product of the dimensions of the original array divided by the product of the dimensions given to reshape so as to
python - x. shape [0] vs x [0]. shape in NumPy - Stack Overflow 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 the number of columns i e 1024 If you would type x shape[2], it will give an error, since we are working on a 2-d array and we are out of index Let me
What does shape[0] and shape[1] do in python? - Stack Overflow 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 the width of each image is the same and thus the size of the image can be retrieved merely by the third line: num_px = train_set_x_orig shape[1]
Combine legends for color and shape into a single legend The main problem was that you were using two different vectors to describe your groups resulting in two legends using your group2 gives each group their own shape colour then you choose the specific ones you want using manual
OpenCV NoneType object has no attribute shape - Stack Overflow The Python AttributeError: 'NoneType' object has no attribute 'shape' occurs after passing an incorrect path to cv2 imread() because the path of image video file is wrong or the name of image video you passed is incorrect To solve the error, make sure to specify the correct path