def main():
unsaved = []
for i in list_float:
try:
argo_loader = ArgoDataFetcher()
#access certain data and profile
ds = argo_loader.float(i).to_xarray()
#conver to Panda
df = ds.to_dataframe()
with open(str(i) + '.csv', 'w') as f:
df.to_csv(f, header=f.tell() == 0)
print('> ' + str(i) + '.csv saved.')
# some floats contain bad data and can not be saved
except:
print('> file could not be saved ' + str(i))
unsaved.append(i)
pass
print('Number of unsaved floats:', len(unsaved))
time_format), -41.212, -56.244, 'NOc Antares',
dt.strptime('2017-11-15 06:25:00', time_format))
buoys = [argo1, argo2, argo3, argo4, argo5, argo6, argo7, argo8]
columns_details = [
'argo_id', 'start_date', 'latitude', 'longitude', 'ship_plataform',
'last_date'
]
argos_details = pd.DataFrame.from_records(buoys, columns=columns_details)
### Download data from ARGO platform
argo_loader = ArgoDataFetcher()
argo_teste = argo_loader.float(list_argos)
df_argo = argo_teste.to_dataframe()
df_argo_final = df_argo[[
'CYCLE_NUMBER', 'DIRECTION', 'PLATFORM_NUMBER', 'PRES', 'PSAL', 'TEMP',
'TIME', 'LONGITUDE', 'LATITUDE'
]]
df_argo_final.loc[:, ['PSAL', 'TEMP']] = df_argo_final[[
'PSAL', 'TEMP'
]].apply(lambda x: pd.Series.round(x, 3))
### INSERTING DATA ON database
# 1 -- ARGO INFO
# Accessing argo data by float using Argopy
from argopy import DataFetcher as ArgoDataFetcher
plt.style.use('default')
argo_loader = ArgoDataFetcher()
argo_loader = ArgoDataFetcher(backend='erddap')
argo_loader = ArgoDataFetcher(cachedir='tmp')
apDS=argo_loader.float(6901254).to_xarray()
apDS2=argo_loader.profile(6901254,1).to_xarray()
data=apDS2.argo.point2profile()
data
The core-Argo profile files contain the core parameters provided by a float: pressure, temperature, salinity, conductivity (PRES, TEMP, PSAL, CNDC). All additional parameters are managed in B-Argo data files (see §0).
fig, ax = plt.subplots(1,2,figsize=(8,10))
#Temperature
ax[0].plot(data.TEMP[0],-data.PRES[0],'ro',label='N_PROF=0 D Fetcher')
ax[0].plot(data.TEMP[1],-data.PRES[1],'bo',label='N_PROF=1 A Fetcher')
ax[0].plot(cy1D.TEMP[0],-cy1D.PRES[0],'k-',label='N_PROF=0 D')
ax[0].set_title(cy1.TEMP.long_name)
ax[0].set_ylabel(cy1.PRES.long_name)
ax[0].grid()
ax[0].legend();
ax[1].plot(data.PSAL[0],-data.PRES[0],'ro',label='N_PROF=0 D Fetcher')
ax[1].plot(data.PSAL[1],-data.PRES[1],'bo',label='N_PROF=1 A Fetcher')
