arrays - what does numpy ndarray shape do? - Stack Overflow
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(). …
python - What does .shape [] do in "for i in range (Y.shape [0 ...
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.
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 and 2D array …
python - x.shape [0] vs x [0].shape in NumPy - Stack Overflow
Jan 7, 2018 · On 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 …
python - What does -1 mean in numpy reshape? - Stack Overflow
Sep 9, 2013 · The criterion to satisfy for providing the new shape is that 'The new shape should be compatible with the original shape' numpy allow us to give one of new shape parameter as -1 (eg: (2, …
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 = …
shape = 19, shape = 20 and shape=16 in R graphics [duplicate]
Jan 23, 2020 · In R graphics and ggplot2 we can specify the shape of the points. I am wondering what is the main difference between shape = 19, shape = 20 and shape = 16? Is it the size? This post might …
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 know how to …
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 shape (128, …
python - shape vs len for numpy array - Stack Overflow
May 24, 2016 · Still, performance-wise, the difference should be negligible except for a giant giant 2D dataframe. So in line with the previous answers, df.shape is good if you need both dimensions, for a …