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fenago
29 lines
1.1 KiB
Python
29 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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class Test(unittest.TestCase):
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def setUp(self):
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import Activity_16_01_Complete_ML_workflow_using_Pipeline_with_Heart_Disease_data_set_v1_0
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self.exercises = Activity_16_01_Complete_ML_workflow_using_Pipeline_with_Heart_Disease_data_set_v1_0
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self.filename = '../Dataset/processed.cleveland.data'
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self.heartData = pd.read_csv(self.filename,sep=",",header = None,na_values = "?")
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self.heartData.columns = ['age','sex', 'cp', 'trestbps','chol','fbs','restecg','thalach','exang','oldpeak','slope','ca','thal','label']
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self.heartData.loc[self.heartData['label'] > 0 , 'label'] = 1
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self.dataShape = self.heartData.shape
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def test_file_url(self):
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self.assertEqual(self.exercises.filename, self.filename)
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def test_shape(self):
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self.assertEqual(self.exercises.heartData.shape, self.dataShape)
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def test_df(self):
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pd_testing.assert_frame_equal(self.exercises.heartData, self.heartData)
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if __name__ == '__main__':
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unittest.main()
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