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fenago
37 lines
1.1 KiB
Python
37 lines
1.1 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 Exercise11_04
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self.exercises = Exercise11_04
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self.file_url = '../dataset/horse-colic.data'
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self.df = pd.read_csv(self.file_url, header=None, sep='\s+', prefix='X', na_values='?')
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self.x0_mask = self.df['X0'].isna()
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self.x0_median = self.df['X0'].median()
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self.df['X0'].fillna(self.x0_median, inplace=True)
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for col_name in self.df.columns:
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col_median = self.df[col_name].median()
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self.df[col_name].fillna(col_median, inplace=True)
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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_x0_mask(self):
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np_testing.assert_array_equal(self.exercises.x0_mask, self.x0_mask)
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def test_x0_median(self):
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np_testing.assert_array_equal(self.exercises.x0_median, self.x0_median)
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if __name__ == '__main__':
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unittest.main()
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