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.

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 np.ndim(). …

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 …

Jul 21, 2018 · 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 = …

Nov 19, 2025 · The shape you're targeting appears to be the "Collapsed Sub-Process" from the "BPMN Basic Shapes" stencil. This is a group shape and the top level has no geometry, so changing its …

Jan 7, 2018 · 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 …

Jun 27, 2025 · Donuts (hollow circles) are also intriguing. What would it take to build one of these shapes and incorporate it fully into ggplot's machinery so that "it just works" whenever a user says …

Jun 4, 2015 · I already know how to set the opacity of the background image but I need to set the opacity of my shape object. In my Android app, I have it like this: and I want to make this black area …

Jun 25, 2017 · For any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? For example the doc says units specify the output shape of a …

Sep 5, 2016 · But isn't the input_shape defined as (sample_size,timestep, features). ? That's tensorflow site mentions about input_shape.