|
- arrays - what does numpy ndarray shape do? - Stack Overflow
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)) For a 1D array, the shape would be (n,) where n is the number of elements in your array
- 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
- python - x. shape [0] vs x [0]. shape in NumPy - Stack Overflow
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 smaller numbers, which should hopefully be easier to understand
- python - list object has no attribute shape - Stack Overflow
8 list object in python does not have 'shape' attribute because 'shape' implies that all the columns (or rows) have equal length along certain dimension Let's say list variable a has following properties:
- python - shape vs len for numpy array - Stack Overflow
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 single dimension, len() seems more appropriate conceptually Looking at property vs method answers, it all points to usability and readability of code
- numpy: size vs. shape in function arguments? - Stack Overflow
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 more obvious in the arguments names
- android - How to set shapes opacity? - Stack Overflow
I already know how to set the opacity of the background image but I need to set the opacity of my shape object In my Android app, I have it like this: and I want to make this black area a bit
- PyTorch: How to get the shape of a Tensor as a list of int
Instead of calling list, does the Size class have some sort of attribute I can access directly to get the shape in a tuple or list form?
|
|
|