
What does .shape [] do in "for i in range (Y.shape [0])"?
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 …
Difference between numpy.array shape (R, 1) and (R,)
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 …
arrays - what does numpy ndarray shape do? - Stack Overflow
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 …
python - x.shape [0] vs x [0].shape in NumPy - Stack Overflow
Jan 7, 2018 · 10 x[0].shape will give the Length of 1st row of an array. x.shape[0] will give the number of rows in an array. In your case it will give output 10. If you will type x.shape[1], it will …
I want to know what it means (height,width)=img.shape [:2]
Feb 1, 2021 · The shape property of the img object evidently is a list which contains some image data, the first two elements of which are here being copied into variables height and width.
tensorflow placeholder - understanding `shape= [None,`
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 …
What does shape[0] and shape[1] do in python? - Stack Overflow
Jul 21, 2018 · In 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 = …
Numpy Typing with specific shape and datatype - Stack Overflow
Feb 14, 2022 · Currently, shape type information is reflected in ndarray.shape. However, most numpy functions that change the dimension or size of an array, however, don't necessarily …
python - ValueError: could not broadcast input array from shape ...
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:
Combine legends for color and shape into a single legend
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 …