I have a numpy array of shape (5, 4, 3) and another numpy array of shape (4,) and what I want to do is expand the last dimension of the first array (5, 4, 3) -> (5, 4, 4) and then broadcast the other array with shape (4,) such that it fills up the new array cells respectively. Example: becomes
Tag: multidimensional-array
How to multiply specific rows/columns of matrices with each other in python?
I have to input matrices of shape I want to multiply each row (each n of size 3) with its correspondence of the other matrix, such that i get a (3,3) matrix for each row. When im trying to just use e.g. m1[0]@m2.T[0] the operation doesnt work, as m[0] delivers a (3,) list instead of a (3,1) matrix, on which
Is there a way to wrap every single entry of an numpy.ndarray into a separate array?
I’m facing some problems getting an array into the right shape to use it as an input into a convolutional neural net: My array has the shape (100,64,64), but I’d need it to be (100,64,64,1). I realize it looks a bit odd, but I basically want to pack every single entry into a separate array. A simplified example, with a
Are there any ways to calculate the subtraction of values from one 2-dimensional arrays in python? [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 1 year ago. Improve this question I am finding a way to calculate the difference of values from one 2-dimensional array. My array will be like
Filter a numpy ndarray using another numpy ndarray
I have two numpy ndarrays of the same shape (15081, 56724, 3, 3). What I want to do is as follows: Say we have a cross section of the first array, array1[1, 1, :, :], looks like this: I want to convert it to a boolean in a way that the max of each row is True and the rest
How to append element from a multi-dimensional array to each element of another multi-dimensional array
I am trying to append elements from a multi-dimensional list into a 2nd multi-dimensional list. Here is the code I wrote – The output I am getting is – It adds elements of 2nd list to the beginneing of 1st list. The output I am trying to get is of sort – I want to add inner_most element of my_list
How to append elements from a multi-dimensional list into 2nd multi-dimensional list
I am trying to append elements from a multi-dimensional list into a 2nd multi-dimensional list. Here is the code I wrote – The output I am getting is – The output I am looking for is of sort – I want to replace elements of innermost list of “my_list” with the elements of the “ref_list”. Answer Try: Prints: EDIT: To
Putting serial values in a matrix with Python
I have a stream of elements that are coming serially: (x0, y0, val0), (x1, y2, val1), … (xN, yN, valN), etc. x and y are the coordinates directly pointing where the val should be put in a matrix. I tried the following but it does not work (I expected the interpreter will automatically expand the matrix but it does not):
Reshape Python List to Match Input Layer (Data preprocessing – Keras – LSTM – MoCap)
Good Day, I am trying to train LSTM using multiple excel files (Motion Capture Data) as input. Each excel file represents a body motion, I would like to train the network using multiple motions in the training set and in the tests set. Below the example of a single excel file: As for the input shape, it’s (1, 2751, 93),
Explain the logic of ‘Count of N-digit numbers with absolute difference of adjacent digits not exceeding K’ in Detail
Can someone please help me understand the logic of following Dynamic Programmming question Found this one at geeksforgeeks.com. I am unable to understand even after going through the answer provided. Question: Count of N-digit numbers with absolute difference of adjacent digits not exceeding K | Set 2 Given two integers N and K, the task is to find the count