Conversely, for the standard shape, I can assign a distinct style. I am dreaming of a diagram editor that allows for importing complex shapes and preserving the style of the page. Draw.io has potential, but from my understanding, it only supports SVG import or raw XML code with no WYSIWYG editor.
The shape attribute for numpy arrays returns the dimensions of the array. If Y has n rows and m columns, then Y.shape is (n,m). So Y.shape[0] is n.
python - What does .shape [] do in "for i in range (Y.shape [0 ...
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 and 2D array shapes, Parentheses around a tuple force the evaluation order and prevent it to be read as a list of values (e.g. in function calls).
On the other hand, x.shape is a 2-tuple which represents the shape of x, which in this case is (10, 1024). x.shape[0] gives the first element in that tuple, which is 10. Here's a demo with some smaller numbers, which should hopefully be easier to understand.
python - x.shape [0] vs x [0].shape in NumPy - Stack Overflow
In python shape [0] returns the dimension but in this code it is returning total number of set. Please can someone tell me work of shape [0] and shape [1]? Code: m_train = train_set_x_orig.shape [0]
python - What does 'range (y.shape [1])' mean in "for i in range ...
The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (200, 2) + inhomogeneous part. Concerned codelines are: ... Basically, the code iterates through a collections of images and performs some operations on such images that outputs the (1x4) vector. The image and its operated-output are then added to the dataset.