shape is a tuple that gives you an indication of the number of dimensions in the array. So in your case, since the index value of Y.shape[0] is 0, your are working along the first dimension of your array.

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).

Sep 9, 2013 · This answer contains a lot of examples but doesn't lay out what -1 does in plain English. When reshaping an array, the new shape must contain the same number of elements as the old shape, meaning the products of the two shapes' dimensions must be equal. When using a -1, the dimension corresponding to the -1 will be the product of the dimensions of the original array …

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, 128, 3) of type float32 will be fed into the graph. a Placeholder does not hold state and merely defines the type and shape of the data to flow ...

I'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...

Mar 31, 2022 · Our objective is to create a data frame with a shape of (2,3,2) as follows: first index or 2 = row in the data frame second index or 3 = columns in the data frame third index or 2 = values in th...

Pandas Dataframe ValueError: Shape of passed values is (X, ), indices imply (X, Y) Asked 11 years, 9 months ago Modified 7 years, 5 months ago Viewed 60k times

Apr 11, 2013 · There's one good reason why to use shape in interactive work, instead of len (df): Trying out different filtering, I often need to know how many items remain. With shape I can see that just by adding .shape after my filtering. With len () the editing of the command-line becomes much more cumbersome, going back and forth.

Jan 25, 2017 · I am trying to add a shape at a specific cell location but cannot get the shape added at the desired location for some reason. Below is the code I am using to add the shape: Cells(milestonerow,

Nov 30, 2017 · 82 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(). (i.e. it gives the n of the ndarray since all arrays in NumPy are just n-dimensional arrays (shortly called as ndarray s))