Complete the code to import the function that calculates the determinant of a matrix.
from scipy.linalg import [1] matrix = [[1, 2], [3, 4]] result = det(matrix) print(result)
The function to calculate the determinant in scipy.linalg is det.
Complete the code to calculate the determinant of the given matrix.
from scipy.linalg import det matrix = [[2, 3], [1, 4]] determinant = [1](matrix) print(determinant)
The function to calculate the determinant is det. Use it by passing the matrix.
Fix the error in the code to correctly compute the determinant of the matrix.
from scipy.linalg import det matrix = [[1, 2, 3], [4, 5, 6]] det_value = [1](matrix) print(det_value)
The matrix must be square to compute determinant. The function is det. However, the matrix here is not square, so the code will error at runtime. But the question asks to fix the function call, so det is correct.
Fill both blanks to create a dictionary of determinants for matrices with size 2 and 3.
from scipy.linalg import det matrices = { 2: [[1, 2], [3, 4]], 3: [[1, 0, 2], [0, 1, 5], [3, 2, 1]] } determinants = {size: det([1]) for size, [2] in matrices.items()} print(determinants)
In the dictionary comprehension, the value for each key is the matrix, so both blanks are filled with the same variable name for the matrix value, commonly mat.
Fill all three blanks to create a dictionary comprehension that stores determinants of matrices with keys as uppercase size names.
from scipy.linalg import det matrices = { 'two': [[2, 0], [0, 2]], 'three': [[1, 2, 3], [0, 1, 4], [5, 6, 0]] } determinants = [1]([2].upper(): [3](matrix) for [2], matrix in matrices.items()) print(determinants)
The dictionary comprehension needs to create a dict, so dict is used. The keys from matrices.items() are strings like 'two', so key is used and converted to uppercase. The determinant function is det. The variable names in the comprehension must match the unpacking.