Exemple #1
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def test_scalar_with_numpy():
    pysolar.use_numpy()

    lat = 50.63
    lon = 3.05
    time = datetime(2018, 5, 8, 12, 0, 0, tzinfo=pytz.UTC)
    print(solar.get_altitude(lat, lon, time))
    print(solar.get_azimuth(lat, lon, time))
Exemple #2
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def test_scalar_with_numpy():
    pysolar.use_numpy()

    lat = 50.63
    lon = 3.05
    time = datetime(2018, 5, 8, 12, 0, 0, tzinfo=pytz.UTC)
    print(solar.get_altitude(lat, lon, time))
    print(solar.get_azimuth(lat, lon, time))
Exemple #3
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def test_numpy():
    """ get_altitude and get_azimuth, with lat, lon and date arrays """
    pysolar.use_numpy()

    lat = np.array([45., 40.])
    lon = np.array([3., 4.])

    time = np.array(['2018-05-08T12:15:00', '2018-05-08T15:00:00'],
                    dtype='datetime64')

    print(solar.get_altitude_fast(lat, lon, time))
    print(solar.get_azimuth_fast(lat, lon, time))
Exemple #4
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def test_with_fixed_position():
    """ get_altitude and get_azimuth, with scalar position """
    pysolar.use_numpy()

    lat = 50.
    lon = 3.

    time = np.array(['2018-05-08T12:15:00', '2018-05-08T15:00:00'],
                    dtype='datetime64')

    print(solar.get_altitude_fast(lat, lon, time))
    print(solar.get_azimuth_fast(lat, lon, time))
Exemple #5
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def test_numpy():
    """ get_altitude and get_azimuth, with lat, lon and date arrays """
    pysolar.use_numpy()

    lat = np.array([45., 40.])
    lon = np.array([3., 4.])

    time = np.array(['2018-05-08T12:15:00',
                     '2018-05-08T15:00:00'], dtype='datetime64')

    print(solar.get_altitude_fast(lat, lon, time))
    print(solar.get_azimuth_fast(lat, lon, time))
Exemple #6
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def test_with_fixed_position():
    """ get_altitude and get_azimuth, with scalar position """
    pysolar.use_numpy()

    lat = 50.
    lon = 3.

    time = np.array(['2018-05-08T12:15:00',
                     '2018-05-08T15:00:00'], dtype='datetime64')

    print(solar.get_altitude_fast(lat, lon, time))
    print(solar.get_azimuth_fast(lat, lon, time))
Exemple #7
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def test_with_fixed_time():
    """ get_altitude and get_azimuth, with scalar date """
    pysolar.use_numpy()

    lat = np.array([45., 40.])
    lon = np.array([3., 4.])

    time = datetime(2018, 5, 8, 12, 0, 0, tzinfo=pytz.UTC)

    print(solar.get_altitude(lat, lon, time))
    print(solar.get_azimuth(lat, lon, time))
    print(solar.get_altitude_fast(lat, lon, time))
    print(solar.get_azimuth_fast(lat, lon, time))
Exemple #8
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def test_with_fixed_time():
    """ get_altitude and get_azimuth, with scalar date """
    pysolar.use_numpy()

    lat = np.array([45., 40.])
    lon = np.array([3., 4.])

    time = datetime(2018, 5, 8, 12, 0, 0, tzinfo=pytz.UTC)

    print(solar.get_altitude(lat, lon, time))
    print(solar.get_azimuth(lat, lon, time))
    print(solar.get_altitude_fast(lat, lon, time))
    print(solar.get_azimuth_fast(lat, lon, time))
Exemple #9
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def test_numpy_radiation():
    """
    get_radiation_direct with lat, lon, and date as arrays
    """
    pysolar.use_numpy()

    lat = np.array([45., 40., 40.])
    lon = np.array([3., 4., 3.])

    time = np.array([
        '2018-05-08T12:15:00',
        '2018-05-08T15:00:00',
        '2018-05-08T03:00:00',
    ],
                    dtype='datetime64')

    altitude = solar.get_altitude_fast(lat, lon, time)
    rad_results = radiation.get_radiation_direct(time, altitude)
    assert rad_results[2] == 0
    print(rad_results)
Exemple #10
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from collections import namedtuple
import datetime

import numpy as np
import pandas as pd
import pysolar
import pysolar.solar as solar

Solarrec = namedtuple('Solarrec', 'fdate azi alt dotp roofazi roofalt')
columns = 'fdate azi alt dotp roofazi roofalt'.split()

pysolar.use_numpy()

starttime = datetime.datetime.fromisoformat('2021-03-12T00:00:00+00:00')

ROOFALT = 90 - 15.0
# ROOFALT = 90 - 17.7
# ROOFAZI = 126
# ROOFAZI = 131
ROOFAZI = 139.38  # Measured by sun position
# ROOFAZI = 150
LATLON = [43.752047, -73.275785]


def get_vector(alt, azi):
    """Calculate unit vector (from [0, 0, 1])
    for a given altitude and azimuth
    """
    alt, azi = np.radians([alt, azi])
    Xr = np.array([0, -np.cos(alt), np.sin(alt)])
    azisin = np.sin(azi)