Mean-Variance-Standard Deviation Calculator Error

My code so far
import numpy as np

def calculate(list):
if len(list)!=9:
raise ValueError(“List must contain nine numbers.”)
else:
a=np.array(list).reshape((3, 3))
b=[np.mean(a,axis=0).tolist(),np.mean(a,axis=1).tolist(),np.mean(a)]
c=[np.var(a,axis=0).tolist(),np.var(a,axis=1).tolist(),np.var(a)]
d=[np.std(a,axis=0).tolist(),np.std(a,axis=1).tolist(),np.std(a)]
e=[np.max(a,axis=0).tolist(),np.max(a,axis=1).tolist(),np.max(a)]
f=[np.min(a,axis=0).tolist(),np.min(a,axis=1).tolist(),np.min(a)]
g=[np.sum(a,axis=0).tolist(),np.sum(a,axis=1).tolist(),np.sum(a)]
calculations = {
“mean”:[b],
“variance”:[c],
“standard deviation”:[d],
“maximum”:[e],
“minimum”:[f],
“sum”:[g]}

   return calculations

these are the error messages I get from my code:

ERROR: test_calculate (test_module.UnitTests)

Traceback (most recent call last):
File “/home/runner/boilerplate-mean-variance-standard-deviation-calculator/test_module.py”, line 10, in test_calculate
self.assertAlmostEqual(actual, expected, “Expected different output when calling ‘calculate()’ with ‘[2,6,2,8,4,0,1,5,7]’”)
File “/usr/lib/python3.8/unittest/case.py”, line 943, in assertAlmostEqual
diff = abs(first - second)
TypeError: unsupported operand type(s) for -: ‘dict’ and ‘dict’

======================================================================
ERROR: test_calculate2 (test_module.UnitTests)

Traceback (most recent call last):
File “/home/runner/boilerplate-mean-variance-standard-deviation-calculator/test_module.py”, line 15, in test_calculate2
self.assertAlmostEqual(actual, expected, “Expected different output when calling ‘calculate()’ with ‘[9,1,5,3,3,3,2,9,0]’”)
File “/usr/lib/python3.8/unittest/case.py”, line 943, in assertAlmostEqual
diff = abs(first - second)
TypeError: unsupported operand type(s) for -: ‘dict’ and ‘dict’


Ran 3 tests in 0.066s

FAILED (errors=2)

Challenge: Mean-Variance-Standard Deviation Calculator

Link to the challenge:

Take a closer look at the names of expected keys in the returned dictionary.