Update mean_var_std.py

Author: Siddhesh-Agarwal

Mean-Variance-Standard-Deviation-Calculator/mean_var_std.py

@@ -1,9 +1,15 @@
 import numpy as np
 
-def calculate(list):
- calculations = None
-
-
-
-
- return calculations
+def calculate(arr):
+ if len(arr) != 9:
+ raise ValueError("List must contain nine numbers.")
+ matrix1 = np.array(arr)
+ matrix2 = matrix1.reshape(3, 3)
+ calculations = {"mean": [list(np.mean(matrix2, axis=0)), list(np.mean(matrix2, axis=1)), np.mean(matrix1)],
+ "variance": [list(np.var(matrix2, axis=0)), list(np.var(matrix2, axis=1)), np.var(matrix1)],
+ "standard deviation": [list(np.std(matrix2, axis=0)), list(np.std(matrix2, axis=1)), np.std(matrix1)],
+ "max": [list(np.max(matrix2, axis=0)), list(np.max(matrix2, axis=1)), np.max(matrix1)],
+ "min": [list(np.min(matrix2, axis=0)), list(np.min(matrix2, axis=1)), np.min(matrix1)],
+ "sum": [list(np.sum(matrix2, axis=0)), list(np.sum(matrix2, axis=1)), np.sum(matrix1)]
+ }
+ return calculations