def get_hottest_day_formatted():
"""
Finds the hottest day from the two .csv data files, using the output from the Transformer.
Prints a formatted result which is more convenient for the user.
"""
transformer = Transformer()
hottest_day = transformer.find_hottest_day()
# rename the columns to more understandable names
hottest_day.columns = ['Date', 'Temperature', 'Region']
print(
hottest_day.to_string(formatters={
"Date":
lambda x: "{:%d-%m-%Y}".format(pd.to_datetime(x))
},
index=False))
class TestTransformer(TestCase):
def setUp(self):
self.transformer = Transformer()
self.project_dir = os.path.abspath(__file__ + "/../../")
def tearDown(self):
for f in glob.glob(self.project_dir + "/resources/*.parquet.gzip"):
os.remove(f)
def test___init__(self):
result = self.transformer.find_hottest_day()
print(result)
self.assertEqual(1, len(result.index))
self.assertEqual('2016-03-17T00:00:00', str(result['ObservationDate'].iloc[0]))
self.assertEqual(15.8, float(result['ScreenTemperature'].iloc[0]))
self.assertEqual('Highland & Eilean Siar', str(result['Region'].iloc[0]))