Install Free Gold Price Widget!
Install Free Gold Price Widget!
Install Free Gold Price Widget!
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- python - x. shape [0] vs x [0]. shape in NumPy - Stack Overflow
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 print out the number of columns i e 1024 If you would type x shape[2], it will give an error, since we are working on a 2-d array and we are out of index Let me
- python - What does -1 mean in numpy reshape? - Stack Overflow
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 divided by the product of the dimensions given to reshape so as to
- 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 ndarrays))
- I want to know what it means (height,width)=img. shape [:2]
Then the shape of the object holds a tuple (rows, columns, channels) (height,width)=img shape[:2] is an example of tuple unpacking, with it you extract the rows and columns values from the shape tuple
- How to customize marker colors and shapes in scatter plot?
@bnaecker I would like to have a different colors for different observation but using a shape to label them for example the first person have a color red and belongs to the class 1 with represents by + I hope that would be clear –
- Pandas Dataframe ValueError: Shape of passed values is (X, ), indices . . .
ValueError: Shape of passed values is (5,), indices imply (5, 5) I've been wrestling with this for a few days now and nothing seems to work What is interesting is that when I change def random(row): return [1,2,3,4] to def random(row): print [1,2,3,4] everything seems to work normally
- Keras input explanation: input_shape, units, batch_size, dim, etc
Given the input shape, all other shapes are results of layers calculations The "units" of each layer will define the output shape (the shape of the tensor that is produced by the layer and that will be the input of the next layer) Each type of layer works in a particular way
- numpy - Shape of array python - Stack Overflow
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