def load_full_data():
data_dir = '../data/'
usgs_filename = data_dir + 'usgs/usgs_locations.csv'
polaris_filename = data_dir + 'polaris/polaris_locations.csv'
usgs_locations = get_data.get_usgs_list(usgs_filename)
polaris_locations = get_data.get_polaris_list(polaris_filename)
locations = {}
for l in usgs_locations.keys():
locations[l] = usgs_locations[l]
for l in polaris_locations.keys():
locations[l] = polaris_locations[l]
cc_data = load_pandas(locations,
data_dir + 'coastcolour/test_data/coastcolour_data_')
tz_choice = 'UTC'
for l in cc_data.keys():
cc_data[l] = cc_data[l].tz_localize('UTC')
cc_data[l] = cc_data[l].tz_convert(tz_choice)
usgs_data = load_pandas(usgs_locations, data_dir + 'usgs/usgs_data_')
for l in usgs_data.keys():
usgs_data[l] = usgs_data[l].tz_localize('Etc/GMT-7')
usgs_data[l] = usgs_data[l].tz_convert(tz_choice)
polaris_data = load_pandas(polaris_locations,
data_dir + 'polaris/polaris_data_')
for l in polaris_data.keys():
polaris_data[l] = polaris_data[l].tz_localize('US/Pacific')
polaris_data[l] = polaris_data[l].tz_convert(tz_choice)
final_csv(usgs_locations, cc_data, usgs_data, 'usgs')
final_csv(polaris_locations, cc_data, polaris_data, 'polaris')
def load_full_data():
data_dir = '../data/'
usgs_filename = data_dir + 'usgs/usgs_locations.csv'
polaris_filename = data_dir + 'polaris/polaris_locations.csv'
usgs_locations = get_data.get_usgs_list(usgs_filename)
polaris_locations = get_data.get_polaris_list(polaris_filename)
locations = {}
for l in usgs_locations.keys():
locations[l] = usgs_locations[l]
for l in polaris_locations.keys():
locations[l] = polaris_locations[l]
cc_data = load_pandas(locations, data_dir + 'coastcolour/test_data/coastcolour_data_')
tz_choice = 'UTC'
for l in cc_data.keys():
cc_data[l] = cc_data[l].tz_localize('UTC')
cc_data[l] = cc_data[l].tz_convert(tz_choice)
usgs_data = load_pandas(usgs_locations, data_dir + 'usgs/usgs_data_')
for l in usgs_data.keys():
usgs_data[l] = usgs_data[l].tz_localize('Etc/GMT-7')
usgs_data[l] = usgs_data[l].tz_convert(tz_choice)
polaris_data = load_pandas(polaris_locations, data_dir + 'polaris/polaris_data_')
for l in polaris_data.keys():
polaris_data[l] = polaris_data[l].tz_localize('US/Pacific')
polaris_data[l] = polaris_data[l].tz_convert(tz_choice)
final_csv(usgs_locations, cc_data, usgs_data, 'usgs')
final_csv(polaris_locations, cc_data, polaris_data, 'polaris')
def blah():
data_dir = '../data/'
usgs_filename = data_dir + 'usgs/usgs_locations.csv'
polaris_filename = data_dir + 'polaris/polaris_locations.csv'
usgs_locations = get_data.get_usgs_list(usgs_filename)
polaris_locations = get_data.get_polaris_list(polaris_filename)
locations = {}
for l in usgs_locations.keys():
locations[l] = usgs_locations[l]
for l in polaris_locations.keys():
locations[l] = polaris_locations[l]
cc_data = load_pandas(locations,
data_dir + 'coastcolour/test_data/coastcolour_data_')
return cc_data
def blah():
data_dir = '../data/'
usgs_filename = data_dir + 'usgs/usgs_locations.csv'
polaris_filename = data_dir + 'polaris/polaris_locations.csv'
usgs_locations = get_data.get_usgs_list(usgs_filename)
polaris_locations = get_data.get_polaris_list(polaris_filename)
locations = {}
for l in usgs_locations.keys():
locations[l] = usgs_locations[l]
for l in polaris_locations.keys():
locations[l] = polaris_locations[l]
cc_data = load_pandas(locations, data_dir + 'coastcolour/test_data/coastcolour_data_' )
return cc_data
