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))
TimeSeriesProp.__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))
TimeSeriesProp.__init__(self, name, units, time, 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')
density_times = temperature.time if len(temperature.time.time) > len(salinity.time.time) else 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]
TimeSeriesProp.__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')
density_times = temperature.time if len(temperature.time.time) > len(salinity.time.time) else 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]
TimeSeriesProp.__init__(self, name, units, time=density_times, data=data)
