how to use assert_frame_equal in unittest

Question

New to unittest package. I'm trying to verify the DataFrame returned by a function through the following code. Even though I hardcoded the inputs of assert_frame_equal to be equal (pd.DataFrame([0,0,0,0])), the unittest still fails. Anyone would like to explain why it happens?

import unittest
from pandas.util.testing import assert_frame_equal
class TestSplitWeight(unittest.TestCase):
    def test_allZero(self):
        #splitWeight(pd.DataFrame([0,0,0,0]),10)
        self.assert_frame_equal(pd.DataFrame([0,0,0,0]),pd.DataFrame([0,0,0,0]))

suite = unittest.TestLoader().loadTestsFromTestCase(TestSplitWeight)
unittest.TextTestRunner(verbosity=2).run(suite)

Error: AttributeError: 'TestSplitWeight' object has no attribute 'assert_frame_equal'

Answer 1

alecxe answer is incomplete, you can indeed use pandas' assert_frame_equal() with unittest.TestCase, using unittest.TestCase.addTypeEqualityFunc

import unittest
import pandas as pd
import pandas.testing as pd_testing

class TestSplitWeight(unittest.TestCase):
    def assertDataframeEqual(self, a, b, msg):
        try:
            pd_testing.assert_frame_equal(a, b)
        except AssertionError as e:
            raise self.failureException(msg) from e

    def setUp(self):
        self.addTypeEqualityFunc(pd.DataFrame, self.assertDataframeEqual)

    def test_allZero(self):
        self.assertEqual(pd.DataFrame([0,0,0,0]), pd.DataFrame([0,0,0,0]))