Goswami, D. Yogi (2015) Principles of Solar Engineering, Third Edition
ISBN 97-8-146656-3780
"""
import calendar
import logging
import math
import numba
import numpy as np
from climate_indices import utils
# ------------------------------------------------------------------------------
# Retrieve logger and set desired logging level
_logger = utils.get_logger(__name__, logging.DEBUG)
# ------------------------------------------------------------------------------
# days of each calendar month, for non-leap and leap years
_MONTH_DAYS_NONLEAP = np.array(
[31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31])
_MONTH_DAYS_LEAP = np.array([31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31])
# solar constant [ MJ m-2 min-1]
_SOLAR_CONSTANT = 0.0820
# ------------------------------------------------------------------------------
# angle values used within the _sunset_hour_angle() function defined below
# valid range for latitude, in radians
import logging
from math import exp, lgamma, pi, sqrt
import numba
import numpy as np
from climate_indices import utils
# ------------------------------------------------------------------------------
# Retrieve logger and set desired logging level
_logger = utils.get_logger(__name__, logging.WARN)
# ------------------------------------------------------------------------------
def fit(timeseries: np.ndarray) -> dict:
"""
Returns the L-Moments fit (loc, scale, skew) corresponding to the
input array of values.
:param timeseries:
:return:
"""
# estimate the L-moments of the values array
lmoments = _estimate_lmoments(timeseries)
# validate the L-Moments
if (lmoments[1] <= 0.0) or (abs(lmoments[2]) >= 1.0):
message = "Unable to calculate Pearson Type III parameters " + \
"due to invalid L-moments"
_logger.error(message)
raise ValueError(message)