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fenago
35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
import unittest
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import import_ipynb
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import pandas as pd
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from sklearn.model_selection import train_test_split
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import pandas.testing as pd_testing
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import numpy.testing as np_testing
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class MyTestCase(unittest.TestCase):
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def setUp(self):
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import Exercise6_01
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self.exercises = Exercise6_01
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self.file_url = '../Dataset/car.data'
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self.headers = ['buying', 'maint', 'doors', 'persons', 'lug_boot', 'safety', 'car']
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self.df = pd.read_csv(self.file_url, names=self.headers, index_col=None)
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self.training, self.evaluation = train_test_split(self.df, test_size=0.3, random_state=0)
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self.validation, self.test = train_test_split(self.evaluation, test_size=0.5, random_state=0)
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def test_df(self):
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pd_testing.assert_frame_equal(self.exercises.df, self.df)
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def test_training(self):
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pd_testing.assert_frame_equal(self.exercises.training, self.training)
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def test_validation(self):
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pd_testing.assert_frame_equal(self.exercises.validation, self.validation)
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def test_test(self):
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pd_testing.assert_frame_equal(self.exercises.test, self.test)
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if __name__ == '__main__':
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unittest.main()
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