Data Analysis Project: Demographic Data Analyzer

I am getting the following error:

ERROR: test_average_age_men (test_module.DemographicAnalyzerTestCase)
Traceback (most recent call last):
  File "/home/runner/EnlightenedWhirlwindMemorypool/", line
 16, in test_average_age_men
    self.assertAlmostEqual(actual, expected, "Expected different value fo
r average age of men.")
  File "/usr/lib/python3.8/unittest/", line 957, in assertAlmostEq
    if round(diff, places) == 0:
TypeError: an integer is required (got type str)

I am getting this error for 5 test cases out of 10.

The code that I am using is:

average_age_men = df.loc[df['sex']=='Male', 'age'].mean()

I checked the type of the variable and it is numpy.float64 .

Please help me with this.

I didn’t withdraw the post. I am looking for help with that error.

if you upload the code to github I might take a look

It seems that the usage of assertAlmostEqual in test suite is wrong.
Third argument of assertAlmostEqual should be places (i.e. number of decimal places to be compared), instead of msg (i.e. message to display when the test is failed.)

For example, the 16th line of should be:

        self.assertAlmostEqual(actual, expected, 1, "Expected different value for average age of men.")

For workaround (without changing test suite), round to first places for all non-integer numbers. (i.e. round(result, 1))


You could try this.
average_age_men =round( df.groupby(‘sex’, as_index=True).age.mean()[“Male”],1)

1 Like

try this code

Hi guys, I;m so far 2 projects in.
However, it seems we cant really tell if i got the answer correct or not.
My current solution is to compare my individual "cell " answer to the answer mentioned in test
Curretnly both my project 1 and project 2 simply reply with OK, and I am not sure if i got it right or not.
At the same time, I got this error msg for my project2

I was having the same problem as OP and this was a nice practical solution. Thanks!