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