mirror of
https://github.com/fenago/data-science.git
synced 2026-05-04 08:31:59 +00:00
fenago
32 lines
920 B
Python
32 lines
920 B
Python
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()
|