"""
This module contains the Location class.
"""
# Will Holmgren, University of Arizona, 2014-2016.
import datetime
import pandas as pd
import pytz
from pvlib import solarposition, clearsky, atmosphere, irradiance
[docs]class Location(object):
"""
Location objects are convenient containers for latitude, longitude,
timezone, and altitude data associated with a particular
geographic location. You can also assign a name to a location object.
Location objects have two timezone attributes:
* ``tz`` is a IANA timezone string.
* ``pytz`` is a pytz timezone object.
Location objects support the print method.
Parameters
----------
latitude : float.
Positive is north of the equator.
Use decimal degrees notation.
longitude : float.
Positive is east of the prime meridian.
Use decimal degrees notation.
tz : str, int, float, or pytz.timezone, default 'UTC'.
See
http://en.wikipedia.org/wiki/List_of_tz_database_time_zones
for a list of valid time zones.
pytz.timezone objects will be converted to strings.
ints and floats must be in hours from UTC.
alitude : float, default 0.
Altitude from sea level in meters.
name : None or string, default None.
Sets the name attribute of the Location object.
**kwargs
Arbitrary keyword arguments.
Included for compatibility, but not used.
See also
--------
pvsystem.PVSystem
"""
[docs] def __init__(self, latitude, longitude, tz='UTC', altitude=0,
name=None, **kwargs):
self.latitude = latitude
self.longitude = longitude
if isinstance(tz, str):
self.tz = tz
self.pytz = pytz.timezone(tz)
elif isinstance(tz, datetime.tzinfo):
self.tz = tz.zone
self.pytz = tz
elif isinstance(tz, (int, float)):
self.tz = tz
self.pytz = pytz.FixedOffset(tz*60)
else:
raise TypeError('Invalid tz specification')
self.altitude = altitude
self.name = name
def __repr__(self):
attrs = ['name', 'latitude', 'longitude', 'altitude', 'tz']
return ('Location: \n ' + '\n '.join(
('{}: {}'.format(attr, getattr(self, attr)) for attr in attrs)))
[docs] @classmethod
def from_tmy(cls, tmy_metadata, tmy_data=None, **kwargs):
"""
Create an object based on a metadata
dictionary from tmy2 or tmy3 data readers.
Parameters
----------
tmy_metadata : dict
Returned from tmy.readtmy2 or tmy.readtmy3
tmy_data : None or DataFrame, default None
Optionally attach the TMY data to this object.
Returns
-------
Location object (or the child class of Location that you
called this method from).
"""
# not complete, but hopefully you get the idea.
# might need code to handle the difference between tmy2 and tmy3
# determine if we're dealing with TMY2 or TMY3 data
tmy2 = tmy_metadata.get('City', False)
latitude = tmy_metadata['latitude']
longitude = tmy_metadata['longitude']
if tmy2:
name = tmy_metadata['City']
else:
name = tmy_metadata['Name']
tz = tmy_metadata['TZ']
altitude = tmy_metadata['altitude']
new_object = cls(latitude, longitude, tz=tz, altitude=altitude,
name=name, **kwargs)
# not sure if this should be assigned regardless of input.
if tmy_data is not None:
new_object.tmy_data = tmy_data
return new_object
[docs] def get_solarposition(self, times, pressure=None, temperature=12,
**kwargs):
"""
Uses the :py:func:`solarposition.get_solarposition` function
to calculate the solar zenith, azimuth, etc. at this location.
Parameters
----------
times : DatetimeIndex
pressure : None, float, or array-like, default None
If None, pressure will be calculated using
:py:func:`atmosphere.alt2pres` and ``self.altitude``.
temperature : None, float, or array-like, default 12
kwargs passed to :py:func:`solarposition.get_solarposition`
Returns
-------
solar_position : DataFrame
Columns depend on the ``method`` kwarg, but always include
``zenith`` and ``azimuth``.
"""
if pressure is None:
pressure = atmosphere.alt2pres(self.altitude)
return solarposition.get_solarposition(times, latitude=self.latitude,
longitude=self.longitude,
altitude=self.altitude,
pressure=pressure,
temperature=temperature,
**kwargs)
[docs] def get_clearsky(self, times, model='ineichen', solar_position=None,
dni_extra=None, **kwargs):
"""
Calculate the clear sky estimates of GHI, DNI, and/or DHI
at this location.
Parameters
----------
times: DatetimeIndex
model: str, default 'ineichen'
The clear sky model to use. Must be one of
'ineichen', 'haurwitz', 'simplified_solis'.
solar_position : None or DataFrame, default None
DataFrame with columns 'apparent_zenith', 'zenith',
'apparent_elevation'.
dni_extra: None or numeric, default None
If None, will be calculated from times.
kwargs passed to the relevant functions. Climatological values
are assumed in many cases. See source code for details!
Returns
-------
clearsky : DataFrame
Column names are: ``ghi, dni, dhi``.
"""
if dni_extra is None:
dni_extra = irradiance.get_extra_radiation(times)
try:
pressure = kwargs.pop('pressure')
except KeyError:
pressure = atmosphere.alt2pres(self.altitude)
if solar_position is None:
solar_position = self.get_solarposition(times, pressure=pressure,
**kwargs)
apparent_zenith = solar_position['apparent_zenith']
apparent_elevation = solar_position['apparent_elevation']
if model == 'ineichen':
try:
linke_turbidity = kwargs.pop('linke_turbidity')
except KeyError:
interp_turbidity = kwargs.pop('interp_turbidity', True)
linke_turbidity = clearsky.lookup_linke_turbidity(
times, self.latitude, self.longitude,
interp_turbidity=interp_turbidity)
try:
airmass_absolute = kwargs.pop('airmass_absolute')
except KeyError:
airmass_absolute = self.get_airmass(
times, solar_position=solar_position)['airmass_absolute']
cs = clearsky.ineichen(apparent_zenith, airmass_absolute,
linke_turbidity, altitude=self.altitude,
dni_extra=dni_extra, **kwargs)
elif model == 'haurwitz':
cs = clearsky.haurwitz(apparent_zenith)
elif model == 'simplified_solis':
cs = clearsky.simplified_solis(
apparent_elevation, pressure=pressure, dni_extra=dni_extra,
**kwargs)
else:
raise ValueError('{} is not a valid clear sky model. Must be '
'one of ineichen, simplified_solis, haurwitz'
.format(model))
return cs
[docs] def get_airmass(self, times=None, solar_position=None,
model='kastenyoung1989'):
"""
Calculate the relative and absolute airmass.
Automatically chooses zenith or apparant zenith
depending on the selected model.
Parameters
----------
times : None or DatetimeIndex, default None
Only used if solar_position is not provided.
solar_position : None or DataFrame, default None
DataFrame with with columns 'apparent_zenith', 'zenith'.
model : str, default 'kastenyoung1989'
Relative airmass model
Returns
-------
airmass : DataFrame
Columns are 'airmass_relative', 'airmass_absolute'
"""
if solar_position is None:
solar_position = self.get_solarposition(times)
if model in atmosphere.APPARENT_ZENITH_MODELS:
zenith = solar_position['apparent_zenith']
elif model in atmosphere.TRUE_ZENITH_MODELS:
zenith = solar_position['zenith']
else:
raise ValueError('{} is not a valid airmass model'.format(model))
airmass_relative = atmosphere.get_relative_airmass(zenith, model)
pressure = atmosphere.alt2pres(self.altitude)
airmass_absolute = atmosphere.get_absolute_airmass(airmass_relative,
pressure)
airmass = pd.DataFrame(index=solar_position.index)
airmass['airmass_relative'] = airmass_relative
airmass['airmass_absolute'] = airmass_absolute
return airmass