Dataframe 如何在MagicMock obj上设置值。所以被测试的函数不会';t返回MagicMock对象

Dataframe 如何在MagicMock obj上设置值。所以被测试的函数不会';t返回MagicMock对象,dataframe,python-unittest,magicmock,Dataframe,Python Unittest,Magicmock,嘿,我刚刚开始使用Python中的单元测试和模拟。尝试测试一个函数,该函数接受单列数据帧,并在基于数据帧值进行一些计算后返回浮点值 import unittest from unittest.mock import MagicMock def avg_annual_fcf_growth_rate(fcf_data_frame): delta = fcf_data_frame.iloc[9][0] - fcf_data_frame.iloc[0][0] avg_growth_ra

嘿,我刚刚开始使用Python中的单元测试和模拟。尝试测试一个函数,该函数接受单列数据帧,并在基于数据帧值进行一些计算后返回浮点值

import unittest
from unittest.mock import MagicMock

def avg_annual_fcf_growth_rate(fcf_data_frame):
    delta = fcf_data_frame.iloc[9][0] - fcf_data_frame.iloc[0][0]
    avg_growth_rate = (delta**(1/9))-1 
    return avg_growth_rate

class Test_DCF(unittest.TestCase):

    def test_fcf_calculation(self):
        mock_fcf = MagicMock()
        mock_fcf.iloc[9][0].return_value = 100
        mock_fcf.iloc[0][0].return_value = 10
        result = avg_annual_fcf_growth_rate(mock_fcf)
        expected = ((100-10)**(1/9)) - 1
        self.assertEqual(result, expected)

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

#Sample dataframe 
         Free Cash Flow USD Mil
2008-12                  5114.0
2009-12                 10909.0
2010-12                 11915.0
2011-12                 12285.0
2012-12                 11175.0
2013-12                 16617.0
2014-12                 16825.0
2015-12                 15409.0
2016-12                 19581.0
2017-12                 34068.0
我遇到了一个问题,结果是MagicMock对象而不是float。我已经试着寻找答案,但无法理解如何正确设置模拟对象的返回值

运行测试的输出

F
======================================================================
FAIL: test_fcf_calculation (__main__.Test_DCF)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "path/to/intrinsic_value_dcf_test.py", line 18, in test_fcf_calculation
    self.assertEqual(result, expected)
AssertionError: <MagicMock name='mock.iloc.__getitem__().[56 chars]104'> != 0.6486864043382532

----------------------------------------------------------------------
Ran 1 test in 0.004s

FAILED (failures=1)
F
======================================================================
失败:测试fcf计算(主测试DCF)
----------------------------------------------------------------------
回溯(最近一次呼叫最后一次):
test\u fcf\u计算中的第18行文件“path/to/intrinsive\u value\u dcf\u test.py”
self.assertEqual(结果,预期)
断言者错误:!=0.6486864043382532
----------------------------------------------------------------------
在0.004s中运行1个测试
失败(失败=1)

据我所知,问题出现在重复的
\uu getitem\uuu
调用中。但以下工作仍然有效:

def test_fcf_calculation(self):
    mock_fcf = MagicMock()

    mock_fcf.iloc.__getitem__.return_value = MagicMock(**{'__getitem__.side_effect': [100, 10]})

    result = avg_annual_fcf_growth_rate(mock_fcf)
    expected = ((100-10)**(1/9)) - 1
    print(mock_fcf.mock_calls)
    self.assertEqual(result, expected)