Aug 8, 2014 · 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).

Although it will throw up warning for using linetype in geom_point and shape in geom_line, it will not work if these arguments were removed. But unfortunately, option 2 does not work on the structure of data I have; likely because I have multiple dataframes for lines & points.

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 ...

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

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...

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))

May 15, 2017 · ValueError: could not broadcast input array from shape (224,224,3) into shape (224) But the following will work, albeit with different results than (presumably) intended:

Aug 22, 2018 · My proposal for the problem is the following relative complex code which delivers the maximum shape in form of a tuple. The method can be feeded by any kind of nested iterable object that contains a __len__ method.

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.