Python 测试断言

Question

Writing a test cases to QA a excel file

I am creating this test case to make sure there is no " NA, nan, None, N/A, empty"

Here is the input File image: Dataset Image
when I run the code below Column A is passing the test, even-though there is an empty row in line 3.

 import unittest import pandas as pd class TestC(unittest.TestCase): def testRowWithNan(self): df= pd.read_excel('abc\test.xlsx','sheet1') tab = df['Emp_Name'] self.assertIsNotNone(tab) if__name__ == '__main__': unittest.main()

Please let me know if any one solution.

Answer 1

I am not that familiar with pandas but df['Emp_Name'] should return list of all the names, you need to check every name in that column. So you need to create a loop like so:

not_want = ["NA", "nan", None, "N/A", "empty"]
for name in df["Emp_name"]:
    # Checking if any of the words that we do not want is in the name
    # If we have the word that we do not want in the name any() will turn true and
    # the test will fail.
    assert any(word in name for word in not_want) is False 

Answer 2

I haven't used unittest library so can't exactly say how you would test via unittest, but I'd simply test like this:

names = df.Emp_Name.values
assert not np.isnan(names).any()