http://www.bing.com:80/search?q=Shape+of+TiO2Search resultshttp://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Shape+of+TiO2Copyright © 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.Wed, 08 Apr 2026 22:13:00 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).Thu, 09 Apr 2026 04:26:00 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]Tue, 07 Apr 2026 01:22:00 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, 07 Apr 2026 09:50:00 GMThttps://stackoverflow.com/questions/79299549/i-keep-getting-the-same-error-when-using-input-dim-and-input-shapeWhen using Sequential models, prefer using an Input(shape) object as the first layer in the model instead.'? This is a warning, not an error, and it also tells you how to fix it.Wed, 08 Apr 2026 00:16:00 GMThttps://stackoverflow.com/questions/12410908/combine-legends-for-color-and-shape-into-a-single-legendI'm creating a plot in ggplot from a 2 x 2 study design and would like to use 2 colors and 2 symbols to classify my 4 different treatment combinations. Currently I have 2 legends, one for the colo...Thu, 09 Apr 2026 04:04:00 GMThttps://stackoverflow.com/questions/37140266/how-to-merge-color-line-style-and-shape-legends-in-ggplotIt is often appropriate to have redundant shape/color group definitions. In many scientific publications, color is the most visually effective way to distinguish groups, but you also know that a large fraction of readers will be printing black and white copies of the paper, and so you also want to include a visual cue that isn't dependent on color.Thu, 09 Apr 2026 02:03:00 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, 09 Apr 2026 08:15:00 GMThttps://stackoverflow.com/questions/39652767/how-to-find-the-size-or-shape-of-a-dataframe-in-pysparkI am trying to find out the size/shape of a DataFrame in PySpark. I do not see a single function that can do this. In Python, I can do this: data.shape() Is there a similar function in PySpark? Th...Wed, 08 Apr 2026 14:00:00 GMThttps://stackoverflow.com/questions/47561488/manually-scale-color-shape-and-linetype-of-multiple-geoms-ggplot2I have also tried solutions using a combination of scale_color_manual(), scale_linetype_manual(), and scale_shape_manual() (all with the same name argument that way they should end up in a single legend).Thu, 09 Apr 2026 13:23:00 GMT