import unittest
import import_ipynb
import pandas as pd
import pandas.testing as pd_testing
from sklearn import preprocessing
from matplotlib import pyplot

class Test(unittest.TestCase):
    def setUp(self):
        import Exercise3_05
        self.exercises = Exercise3_05
        self.file_url = '../bank-full.csv'
        self.bankData = pd.read_csv(self.file_url, sep=";")
        self.bankNumeric = self.bankData[['age','balance','day','duration','campaign','pdays','previous']]
        self.bankCorr = self.bankNumeric.corr(method = 'pearson')
        	

    def test_file_url(self):
        self.assertEqual(self.exercises.file_url, self.file_url)

    def test_df(self):
        pd_testing.assert_frame_equal(self.exercises.bankData, self.bankData)
        
    def test_corr(self):
        pd_testing.assert_frame_equal(self.exercises.bankCorr,self.bankCorr)

			


if __name__ == '__main__':
	unittest.main()