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 ..
Here is a basic code import numpy as np import matplotlib.pyplot as plt # prepare data x = np.linspace(0, 2*np.pi, 100) y1 = np.cos(x) # render the figure fig, ax = plt.subplots() ax.plot(x, y1, label="y1", ls="-", color="black") ax.legend() ax.set_xlabel("x, x units") fig.show() The figure appeared for like a second and then it disappears: How can ..
I have been following this tutorial on how to find nearest neighbors of a point with scikit. However, when it comes to displaying the data, the tutorial merely mentions that "the indices can be mapped to useful values and the two arrays merged with the rest of the data" But there’s no actual explanation on ..