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 …

Mar 1, 2014 · I'm new to python and numpy in general. I read several tutorials and still so confused between the differences in dim, ranks, shape, aixes and dimensions. My mind seems to be stuck at …

You can think of a placeholder in TensorFlow as an operation specifying the shape and type of data that will be fed into the graph.placeholder X defines that an unspecified number of rows of shape (128, …

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 …

I 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 …

Oct 22, 2018 · Shape (in the numpy context) seems to me the better option for an argument name. The actual relation between the two is size = np.prod(shape) so the distinction should indeed be a bit …

4 ForeColor actually controls the backcolor of comment/textbox (s) in Excel as follows; Activecell.Comment.Shape.Fill.ForeColor.RGB = RGB(240, 255, 250) 'Mint Green as the Comment / …

Aug 16, 2009 · 123 I am trying to set padding in a <shape> declared within an XML file/layout. But whatever I set, nothing changes related to padding. If I modify any other properties, I see the effects …