import unittest
import importlib
import pandas as pd


# Helper function to dynamically generate test names and assertions
def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)


class TestUserCode(unittest.TestCase):

    def test_colors_variable_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'colors'),
            "The `colors` variable is declared.",
            "Expected `colors` variable to be declared."
        )

    def test_colors_is_series(self):
        import user_code
        try:
            actual_value = user_code.colors
            condition = isinstance(actual_value, pd.Series)
            failure_message = f"Expected `colors` to be a `Series`, but got `{type(user_code.colors).__name__}`."

        except AttributeError:
            condition = False
            failure_message = "The `colors` variable is not declared."

        _dynamic_test(
            self,
            condition,
            "The `colors` variable is a `Series`.",
            failure_message
        )

    def test_colors_contains_correct_data(self):
        import user_code
        expected_value = pd.Series(['Red', 'Black', 'Gray', 'Yellow', 'White', 'Green'])

        variable = 'colors'
        actual_value = getattr(user_code, variable, None)
        if actual_value is None:
            condition = False
            failure_message = f"The `{variable}` variable is not declared."
        elif isinstance(actual_value, pd.Series):
            condition = actual_value.equals(expected_value)
            if actual_value.empty:
                failure_message = f"`{variable}` is empty."
            else:
                failure_message = f"Expected `{variable}` to contain `{expected_value.values}`, but got `{actual_value.values}`."
        else:
            condition = False
            failure_message = f"`{variable}` is not a `Series`."

        _dynamic_test(
            self,
            condition,
            f"`{variable}` contains the correct values.",
            failure_message
        )


if __name__ == '__main__':
    unittest.main()

test_main.py

Build practical data manipulation skills using pandas. Learn to work with Series and DataFrames, read and explore datasets, select and filter data, perform aggregations, reshape tables, combine multiple DataFrames, and prepare data for analysis.

Challenge: Creating a Series

Solution