def __init__(self,
name=None,
units='kg/m^3',
temperature=None,
salinity=None):
if (temperature is None or salinity is None
or not isinstance(temperature, TemperatureTS)
or not isinstance(salinity, SalinityTS)):
raise ValueError('Must provide temperature and salinity '
'time series Environment objects')
if len(temperature.time.time) > len(salinity.time.time):
density_times = temperature.time
else:
density_times = salinity.time
dummy_pt = np.array([
[0, 0],
])
import gsw
from gnome import constants
data = [
gsw.rho(salinity.at(dummy_pt, t),
temperature.at(dummy_pt, t, units='C'),
constants.atmos_pressure * 0.0001)
for t in density_times.time
]
TimeseriesData.__init__(self,
name,
units,
time=density_times,
data=data)
def __init__(self,
name=None,
units='kg/m^3',
temperature=None,
salinity=None):
if (temperature is None or
salinity is None or
not isinstance(temperature, TemperatureTS) or
not isinstance(salinity, SalinityTS)):
raise ValueError('Must provide temperature and salinity '
'time series Environment objects')
if len(temperature.time.time) > len(salinity.time.time):
density_times = temperature.time
else:
density_times = salinity.time
dummy_pt = np.array([[0, 0], ])
import gsw
from gnome import constants
data = [gsw.rho(salinity.at(dummy_pt, t),
temperature.at(dummy_pt, t, units='C'),
constants.atmos_pressure * 0.0001)
for t in density_times.time]
TimeseriesData.__init__(self, name, units, time=density_times,
data=data)
def __init__(self, name=None, units='K', time=None, data=None, **kwargs):
if 'timeseries' in kwargs:
ts = kwargs['timeseries']
time = map(lambda e: e[0], ts)
data = np.array(map(lambda e: e[1], ts))
TimeseriesData.__init__(self, name, units, time, data=data)
def __init__(self, name=None, units='K',
time=None, data=None,
**kwargs):
if 'timeseries' in kwargs:
ts = kwargs['timeseries']
time = map(lambda e: e[0], ts)
data = np.array(map(lambda e: e[1], ts))
TimeseriesData.__init__(self, name, units, time, data=data)
