http://www.bing.com:80/search?q=Shape+That+Symbolizes+UnitySearch resultshttp://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Shape+That+Symbolizes+UnityCopyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.https://stackoverflow.com/questions/10200268/what-does-shape-do-in-for-i-in-rangey-shape0The 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.Thu, 02 Apr 2026 23:11:00 GMThttps://stackoverflow.com/questions/22053050/difference-between-numpy-array-shape-r-1-and-rShape 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).Sat, 04 Apr 2026 06:26:00 GMThttps://stackoverflow.com/questions/51455927/what-does-shape0-and-shape1-do-in-pythonIn 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]Wed, 01 Apr 2026 07:06:00 GMThttps://stackoverflow.com/questions/48134598/x-shape0-vs-x0-shape-in-numpyOn 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.Tue, 31 Mar 2026 13:12:00 GMThttps://stackoverflow.com/questions/21015674/list-object-has-no-attribute-shape8 list object in python does not have 'shape' attribute because 'shape' implies that all the columns (or rows) have equal length along certain dimension. Let's say list variable a has following properties:Tue, 31 Mar 2026 16:25:00 GMThttps://stackoverflow.com/questions/63932913/memoryerror-unable-to-allocate-30-4-gib-for-an-array-with-shape-725000-277-70 Got the similar issue here. "numpy._core._exceptions._ArrayMemoryError: Unable to allocate 3.58 GiB for an array with shape 500000000" My PC has 16G mem, but it is not able to allocate 3.58G for an array. It seems to be the contiguous memory management issue "NumPy requires a contiguous block of memory to allocate the array.Thu, 02 Apr 2026 06:29:00 GMThttps://stackoverflow.com/questions/57507832/unable-to-allocate-array-with-shape-and-data-typeI'm facing an issue with allocating huge arrays in numpy on Ubuntu 18 while not facing the same issue on MacOS. I am trying to allocate memory for a numpy array with shape (156816, 36, 53806) with...Fri, 03 Apr 2026 06:13:00 GMThttps://stackoverflow.com/questions/77125667/how-can-i-fix-warning-that-class-shape-is-exposed-outside-its-defined-visibiliI made function 'warn' in line 17 whose parameter is enum Shape. Why is it warning about visibility scope and how can I fix it? import java.util.Scanner; public class AreaCalculator { enum Sh...Thu, 02 Apr 2026 02:18:00 GMThttps://stackoverflow.com/questions/26218002/manually-set-shape-by-factorPlotting this you will there are factors a-e that have colours and shapes attributed to them. In my code I use scale_shape_manual to set the shapes and they are defined by sequence i.e. the order of factors is a,b,c,d,e and my values are 15,18,16,17,19 so a=15 (a square), b=18 etc etc I would like to set these shapes by factor.Fri, 03 Apr 2026 20:54:00 GMThttps://stackoverflow.com/questions/78067999/raise-valueerrorfcannot-convert-shape-to-a-shape-valueerror-cannot-conshape: A shape tuple (integers), not including the batch size. For instance, shape= (32,) indicates that the expected input will be batches of 32-dimensional vectors. Elements of this tuple can be None; 'None' elements represent dimensions where the shape is not known.Thu, 02 Apr 2026 07:47:00 GMT