Python converting lists into 2D numpy array
Question: I have some lists that I want to convert into a 2D numpy array.

    
    
    list1 = [ 2, 7 , 8 , 5]
    list2 = [18 ,29, 44,33]
    list3 = [2.3, 4.6, 8.9, 7.7]
    

The numpy array I want is:

    
    
    [[  2.   18.    2.3]
     [  7.   29.    4.6]
     [  8.   44.    8.9]
     [  5.   33.    7.7]]
    

which I can get by typing the individual items from the list directly into the
numpy array expression as `np.array(([2,18,2.3], [7,29, 4.6], [8,44,8.9],
[5,33,7.7]), dtype=float)`.

But I want to be able to convert the lists into the desired numpy array.


Answer: One way to do it would be to create your `numpy` array and then use the
transpose function to convert it to your desired output:

    
    
    import numpy as np
    
    list1 = [ 2, 7 , 8 , 5]
    list2 = [18 ,29, 44,33]
    list3 = [2.3, 4.6, 8.9, 7.7]
    
    arr = np.array([list1, list2, list3])
    arr = arr.T
    print(arr)
    

**Output**

    
    
    [[  2.   18.    2.3]
     [  7.   29.    4.6]
     [  8.   44.    8.9]
     [  5.   33.    7.7]]
    

