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fenago
33 lines
943 B
Python
33 lines
943 B
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 Exercise11_03
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self.exercises = Exercise11_03
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self.file_url = '../dataset/officers.csv'
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self.df = pd.read_csv(self.file_url)
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self.il_mask = self.df['State'].isin(['il', 'Il', 'iL', 'Il'])
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self.df.loc[self.il_mask, 'State'] = 'IL'
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for val in ['II', 'I', '8I', '60']:
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self.df.loc[self.df['State'] == val, 'State'] = 'IL'
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self.df.loc[self.df['State'].str.contains('In', na=False), 'State'] = 'IN'
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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_df(self):
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pd_testing.assert_frame_equal(self.exercises.df, self.df)
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def test_il_mask(self):
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np_testing.assert_array_equal(self.exercises.il_mask, self.il_mask)
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if __name__ == '__main__':
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unittest.main()
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