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Implement handling of duplicate tide gauge names #43

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Implement handling of duplicate tide gauge names #43

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53 changes: 41 additions & 12 deletions profsea/tide_gauge_locations.py
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Original file line number Diff line number Diff line change
Expand Up @@ -80,19 +80,48 @@ def extract_site_info(data_source, data_type, region, site_name, latlon):
site_data = df.loc[site_to_check, :]

if data_source == 'PSMSL':
if 'NEWPORT' in site_to_check:
print(f'CAUTION - There are two Newport gauges listed in' +
'the file list from PSMSL')
user_input = input('Location of Newport required, UK or ' +
'US?')
if user_input == 'UK':
print('Newport in the UK selected')
site_data = site_data[~site_data.index.duplicated(
keep='last')].transpose()
duplicate_dict = {
'NEWPORT': ['USA', 'UK'],
'DEVONPORT': ['UK', 'Australia'],
'MANZANILLO': ['Mexico', 'Cuba'],
'PALERMO': ['Italy', 'Argentina'],
'SAN JOSE': ['Guatemala', 'Philippines'],
'SAN JUAN': ['Peru', 'Puerto Rico']
}
if site_to_check in duplicate_dict.keys():
nation_1 = duplicate_dict[site_to_check][0]
nation_2 = duplicate_dict[site_to_check][1]

if settings['sciencemethod'] == 'UK':
if site_to_check == 'NEWPORT':
site_data = site_data[~site_data.index.duplicated(
keep='last')].transpose()
elif site_to_check == 'DEVONPORT':
site_data = site_data[~site_data.index.duplicated(
keep='first')].transpose()

else:
print('Newport in the US selected')
site_data = site_data[~site_data.index.duplicated(
keep='first')].transpose()
print(f'CAUTION - There are two {site_to_check} ' +
'gauges listed in the file list from PSMSL')
while True:
user_input = input('Please enter either 1 or 2 ' +
'to select correct location \n' +
f'1.{site_to_check}, '
f'{nation_1} \n' +
f'2.{site_to_check}, '
f'{nation_2} \n')
if user_input == '1':
print(f'{site_to_check} in {nation_1} selected')
site_data = site_data[~site_data.index.duplicated(
keep='first')].transpose()
break
elif user_input == '2':
print(f'{site_to_check} in {nation_2} selected')
site_data = site_data[~site_data.index.duplicated(
keep='last')].transpose()
break
else:
print('Invalid option, please enter either 1 or 2')

df_temp = pd.DataFrame(site_data).transpose()
dfObj = dfObj.append(df_temp)
Expand Down