#### Category : numpy

In python, given one matrix of size 3*2 like A=[[x11,x12,x13],[x21,x22,x23]] and a column vector b=[mu1;mu2]. If I want to compute the Euclidean distance between each column of A and vector b. For example, for the first column, the distance ‘d1` is given by A=[[x11,x12,x13],[x21,x22,x23]] b=[[mu1],[mu2]] d1=(x11-mu1)^2+(x21-mu2)^2 #second column d2=(x12-mu1)^2+(x22-mu2)^2 # so on So the distance ..

I have a set of N arrays and I need to compute the N-fold Cartesian product. Of all the generated ordered tuples I want to keep only the ones whose sum is equal to 1 (plus or minus a certain tolerance), e.g. p = [[0.4,0.389], [0.6,0.611]] cartesian_product = [[0.4, 0.6], [0.4, 0.611], [0.389, 0.6], [0.389, ..

I have an array and want find the average between 2 number and add an additional element between the 2 number. For example, if I start with x = np.array([1, 3, 5, 7, 9]) I want to end up with [1, 2, 3, 4, 5, 6, 7, 8, 9] How would I go about doing ..

I am trying to understand the implementation of numpy by debugging its source code. I run the python code import numpy; numpy.add(1, 1) then use GDB to backtrace from its C implementation function LONG_add_avx2. To my surprise, I don’t see the numpy.add appeared in the backtrace call stack. Instead, python is calling numpy.ufunc , not ..

I am trying to learn NumPy basic concepts but unable to wrap my head around few things. I am following this NumPy documentation Scalars Python defines only one type of a particular data class (there is only one integer type, one floating-point type, etc.). This can be convenient in applications that don’t need to be ..

I have multiple arrays of equal size, and I want to concatenate the values in each cell to produce an output array of the same size, but where each element is a list. How can I do this? Example. Input: a = [[1,2], [3,4]] b = [[5,6], [7,8]] Desired output: c = [[[1,5],[2,6]], [[3,7],[4,8]]] How ..

Question Let’s say I have the following array tile1 [[80 80 80] [80 80 80] [80 80 80] [80 80 80]] I want to replace every [80 80 80] element with the array [1 5 10]. How can I do that? What I have tried I tried print(tile1==[80,80,80]) And I thought that was pretty useful ..

If I have a matrix matrix1 like [[80 80 80 80] [ 0 50 0 0] [ 0 0 50 0] [ 0 0 0 50] [30 30 30 30]] which is shape (5,4) and I do matrix2=matrix[…,np.newaxis] I get a matrix with shape: (5,4,1) My question is, how can I get a matrix of .. 