def test_util_mean_earth_sun_distance_no_error(self):
try:
util.mean_earth_sun_distance(self.aware)
except NoTimeZoneInfoError:
self.fail("""'NoTimeZoneInfoError' should not be raised \
as 'datetime' object is tz-aware.""")
def test_util_mean_earth_sun_distance_raise_error(self):
with self.assertRaises(NoTimeZoneInfoError):
util.mean_earth_sun_distance(self.unaware)
sta_df = df[t_columns + [station]].reset_index(drop=True)
DOY = sta_df.doy[0]
# Convert time related columns to datetimes and store them in a new dataframe
dt_df = pd.to_datetime(
sta_df.s.apply(str) + ' ' + sta_df.y.apply(str) + ' ' +
sta_df.doy.apply(str) + ' ' + sta_df.hst.apply(str),
format='%S %Y %j %H%M')
dt_df = dt_df.dt.tz_localize('HST') # This sets tzinfo to HST
# dt_df = dt_df.dt.tz_convert(None) # This converts time to UTC and removes tzinfo
az_df = pd.DataFrame()
el_df = pd.DataFrame()
cs_df = pd.DataFrame()
for datetime in dt_df:
KD = util_csm.mean_earth_sun_distance(datetime)
DEC = util_csm.declination_degree(datetime, TY)
altitude = solar.get_altitude(lat, lon, datetime)
azimuth = solar.get_azimuth(lat, lon, datetime)
if simple_csm == 'kasten':
ghi_csm = 910 * math.sin(math.radians(altitude))
if simple_csm == 'haurwitz':
ghi_csm = 1098 * math.sin(
math.radians(altitude)) * math.exp(
-0.057 / (math.sin(math.radians(altitude))))
cs_df = cs_df.append({'cs': ghi_csm}, ignore_index=True)
el_df = el_df.append({'elevation': altitude},
ignore_index=True)
az_df = az_df.append({'azimuth': azimuth}, ignore_index=True)