def test_print(self):
start_time = '1/1/2015 13:00:00'
final_time = '1/2/2015'
# Instantiate weather object
prices = exodata.PriceFromDF(self.df, \
self.variable_map)
# Get price data
prices.collect_data(start_time, final_time)
# Check reference
df_test = prices.display_data()
self.check_df(df_test, 'collect_data.csv')
def setUp(self):
self.df = pd.read_csv(
os.path.join(self.get_unittest_path(), 'resources', 'optimization',
'PriceCSV.csv'))
time = pd.to_datetime(self.df['Time'])
self.df.set_index(time, inplace=True)
variable_map = {
'pi_e': ('pi_e', units.unit1)
}
# Instantiate weather object
self.prices = exodata.PriceFromDF(self.df, \
variable_map)
def test_collect_data_tz_handling(self):
start_time = '1/1/2015 13:00:00'
final_time = '1/2/2015'
# Localize timezone
self.df = self.df.tz_localize('UTC')
# Instantiate weather object
with self.assertRaises(TypeError):
prices = exodata.PriceFromDF(self.df, \
self.variable_map)
# Remove timezone
self.df = self.df.tz_convert(None)
# Instantiate weather object
prices = exodata.PriceFromDF(self.df, \
self.variable_map)
# Get control data
prices.collect_data(start_time, final_time)
# Collect twice
prices.collect_data(start_time, final_time)
# Check reference
df_test = prices.display_data()
self.check_df(df_test, 'collect_data.csv')