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fenago
36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
import unittest
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import import_ipynb
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import pandas as pd
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import pandas.testing as pd_testing
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import numpy.testing as np_testing
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from sklearn.cluster import KMeans
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class Test(unittest.TestCase):
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def setUp(self):
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import Exercise12_02
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self.exercises = Exercise12_02
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self.file_url = '../Dataset/ames_iowa_housing.csv'
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self.df = pd.read_csv(self.file_url)
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self.year_built = self.df['YearBuilt'].unique()
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self.decade_list = [year - (year % 10) for year in self.year_built]
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self.decade_built = sorted(set(self.decade_list))
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self.df['DecadeBuilt'] = pd.cut(self.df['YearBuilt'], bins=self.decade_built)
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def test_file_url(self):
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self.assertEqual(self.exercises.file_url, self.file_url)
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def test_year_built(self):
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np_testing.assert_array_equal(self.exercises.year_built, self.year_built)
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def test_decade_list(self):
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self.assertEqual(self.exercises.decade_list, self.decade_list)
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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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if __name__ == '__main__':
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unittest.main()
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