If a list containing numeric or textual objects is rendered into a unidimensional array (that could represent a coefficient vector, for instance), a list of lists translates into a two-dimensional array, and a list of list of lists becomes a three-dimensional one:
In: import numpy as np # Transform a list into a bidimensional array a_list_of_lists = [[1,2,3],[4,5,6],[7,8,9]] Array_2D = np.array(a_list_of_lists ) Array_2DOut: array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
As mentioned previously, you can call out single values with indices, as in a list, though here you'll have two indices—one for the row dimension (also called axis 0) and one for the column dimension (axis 1):
In: Array_2D[1, 1]Out: 5
Two-dimensional ...
