Answer :
To address the question, we start with the given list:
[tex]\[ \text{myList} = [[1, 2], [3, 4], [5, 6]] \][/tex]
The task is to create a two-dimensional array using Numpy.
First, we need to understand what a two-dimensional array is. It is essentially a matrix or a list of lists where each 'sublist' is a row in the matrix. Here, our given list already represents a list of lists.
To transform this list into a two-dimensional array with Numpy, we use the `numpy.array()` function, which converts the nested list structure into a two-dimensional Numpy array.
The correct line of code to do this is:
[tex]\[ \text{two_d_array} = \text{numpy.array(myList)} \][/tex]
The resulting array `two_d_array` will be:
[tex]\[ \begin{bmatrix} 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{bmatrix} \][/tex]
Thus, the operation successfully converts `myList` into a two-dimensional Numpy array.
[tex]\[ \text{myList} = [[1, 2], [3, 4], [5, 6]] \][/tex]
The task is to create a two-dimensional array using Numpy.
First, we need to understand what a two-dimensional array is. It is essentially a matrix or a list of lists where each 'sublist' is a row in the matrix. Here, our given list already represents a list of lists.
To transform this list into a two-dimensional array with Numpy, we use the `numpy.array()` function, which converts the nested list structure into a two-dimensional Numpy array.
The correct line of code to do this is:
[tex]\[ \text{two_d_array} = \text{numpy.array(myList)} \][/tex]
The resulting array `two_d_array` will be:
[tex]\[ \begin{bmatrix} 1 & 2 \\ 3 & 4 \\ 5 & 6 \end{bmatrix} \][/tex]
Thus, the operation successfully converts `myList` into a two-dimensional Numpy array.