Tell us what’s happening:
Describe your issue in detail here.
I’m getting an error when submitting this code. The error states that ValueError is not raised by calculate. However, when ran on my own IDE, the ValueError is raised.
Your code so far
def calculate(a):
try:
arr = np.array(a)
arr = np.reshape(arr, (3, 3))
mean_row = np.mean(arr, axis = 0).tolist()
mean_col = np.mean(arr, axis = 1).tolist()
mean_flat = np.mean(arr.flatten()).tolist()
mean_list = [mean_row, mean_col, mean_flat]
var_row = np.var(arr, axis = 0).tolist()
var_col = np.var(arr, axis = 1).tolist()
var_flat = np.var(arr.flatten()).tolist()
var_list = [var_row, var_col, var_flat]
std_row = np.std(arr, axis = 0).tolist()
std_col = np.std(arr, axis = 1).tolist()
std_flat = np.std(arr.flatten()).tolist()
std_list = [std_row, std_col, std_flat]
max_row = np.max(arr, axis = 0).tolist()
max_col = np.max(arr, axis = 1).tolist()
max_flat = np.max(arr.flatten()).tolist()
max_list = [max_row, max_col, max_flat]
min_row = np.min(arr, axis = 0).tolist()
min_col = np.min(arr, axis = 1).tolist()
min_flat = np.min(arr.flatten()).tolist()
min_list = [min_row, min_col, min_flat]
sum_row = np.sum(arr, axis = 0).tolist()
sum_col = np.sum(arr, axis = 1).tolist()
sum_flat = np.sum(arr.flatten()).tolist()
sum_list = [sum_row, sum_col, sum_flat]
keys = ['mean', 'variance', 'standard deviation', 'max', 'min', 'sum']
values = [mean_list, var_list, std_list, max_list, min_list, sum_list]
calculations = dict(zip(keys, values))
return calculations
except ValueError:
return "List must contain nine numbers."
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Challenge: Mean-Variance-Standard Deviation Calculator
Link to the challenge: