def testgeoparms():
m = Meso(api_token='3428e1e281164762870915d2ae6781b4')
m.precipitation_obs(start='201504261800', end='201504271200', units='precip|in')
temp = str(x['OBSERVATIONS']['air_temp_value_1']['value']) + u'\N{DEGREE SIGN}' + 'F'
wind = x['OBSERVATIONS']['wind_speed_value_1']['value'] + ' mph'
result = 'The current weather at ' + st_name + ' is ' + temp + ' with a sustained wind of ' + wind
print(result)
# I import Pretty Print to make the returned dictionary look, well, pretty.
pp = pprint.PrettyPrinter(indent=2)
# Instance a Meso object by passing in YOUR api_token
m = Meso(api_token='3428e1e281164762870915d2ae6781b4') # this token for testing only
# Here we retrieve only the stations in Larimer County, Colorado
stations = m.station_list(state='CO', county='Larimer')
# Calling variable_list() returns all possible sensor variables at stations
variables = m.variable_list()
# This returns a climatology for Denver from Apr 26 OOz to Apr 27 OOz
climate = m.climatology_obs(stid='kden', startclim='04260000', endclim='04270000', units='precip|in')
# Fetches the latest obs for Fort Collins airport within 30 min of Apr 26 18z
latest = m.latest_obs(stid='kfnl', attime='201504261800', within='30')
# Returns a time series from Fort Collins airport from Apr 26 18z to Apr 26 23z
time = m.timeseries_obs(stid='kfnl', start='201504261800', end='201504262300')
# Returns the precip obs from Fort Collins airport from Apr 26 18z to Apr 27 12z
precip = m.precipitation_obs(stid='kfnl', start='201504261800', end='201504271200', units='precip|in')
#pp.pprint(stations)
def testprecipfunc():
m = Meso(api_token='3428e1e281164762870915d2ae6781b4')
precip = m.precipitation_obs(stid='kfnl', start='201504261800', end='201504271200', units='precip|in')
ok_(precip)
