copulas/run_error_correlation.py at master · domyang/copulas · GitHub

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import error_correlation as ec
import matplotlib.pyplot as plt
import sys
import dateutil.parser as dt
from dateutil.relativedelta import relativedelta

home_dir = 'C:\\users\\sabrina\\documents\\research\\code for real user\\'
sys.path.append(home_dir + 'prescient/release/Prescient_1.0/')

import exec.MasterOptions as MasterOptions


##############################
##  This section is to run  ##
##############################

### time correlation

def test(options, action):
    fn = 0;

    if 'solar correlation' in action:
        ec.time_correlation('Solar', 'total', fig_nb=fn)
        fn = fn + 1
        ec.time_correlation('Solar', 'SP', fig_nb=fn)
        fn = fn + 1
        ec.time_correlation('Solar', 'NP', fig_nb=fn)
        fn = fn + 1

    if 'seasons comparison' in action:
        # ec.time_correlation('Wind','total',date_range=['07/01/14 00:00','10/01/14 00:00'],fig_nb=fn); fn=fn+1
        # ec.time_correlation('Wind','total',date_range=['01/01/15 00:00','03/01/15 00:00'],range_max=24*10,fig_nb=fn); fn=fn+1

        nb_period = 6
        date1 = dt.parse('07/01/14 00:00')
        date2 = dt.parse('06/30/15 23:00')
        delta = (date2 - date1).days // nb_period
        dates_list = [str(date1 + relativedelta(days=i * delta)) for i in range(nb_period)]
        dates_list.append(str(date2))
        print(dates_list)
        offsets = [5]
        for i in range(nb_period):
            ec.plot_copula_2d('Wind', 'NP', 'Wind', 'NP', options, date_range=[dates_list[i], dates_list[i + 1]],
                              hour_offset=offsets, fig_nb=fn)
            fn = fn + len(offsets)

    if 'time correlation' in action:
        ec.time_correlation('Wind', 'total', fig_nb=fn)
        fn = fn + 1
        ec.time_correlation('Wind', 'SP', fig_nb=fn)
        fn = fn + 1
        ec.time_correlation('Wind', 'NP', fig_nb=fn)
        fn = fn + 1

    if 'space correlation' in action:
        ec.space_correlation('Wind')
        ec.space_correlation('Solar')

    if 'copula wind' in action:
        offsets = [11, 23, 24, 35]
        ec.plot_copula_2d('Wind', 'NP', 'Wind', 'NP', options, hour_offset=offsets, fig_nb=fn)
        fn = fn + len(offsets)

    if 'copula approximation' in action:
        offsets = [5]
        # unif1,unif2=(ec.plot_copula_2d('Wind','NP','Wind','NP',options,hour_offset=offsets,fig_nb=fn))[0][0];fn=fn+len(offsets);
        # unif1_emp,unif2_emp=(ec.plot_copula_2d('Wind','NP','Wind','NP',options,hour_offset=offsets,fig_nb=fn, redistribute='Spline'))[0][0];fn=fn+len(offsets)
        # unif1_gau,unif2_gau=(ec.plot_copula_2d('Wind','NP','Wind','NP',options,hour_offset=offsets,fig_nb=fn,redistribute='Gaussian'))[0][0];fn=fn+len(offsets)
        #
        # print('##### \n distance between gaussian and empirical: %f \n' %ec.compute_distance_emd(unif1,unif2,unif1_gau,unif2_gau,precision=30))
        # print('##### \n distance between spline and empirical: %f \n' %ec.compute_distance_emd(unif1,unif2,unif1_emp,unif2_emp, precision=30))

        ec.best_copula('Wind', 'NP', 'Wind', 'NP', options, nb_parts=6, nb_points_parts=2000, hour_offset=offsets,
                       fig_nb=fn, precision=20)
        fn = fn + 3 * len(offsets)

    if 'copula spline estimation' in action:
        offsets = [2]
        ec.copula_analysis('Wind', 'NP', 'Wind', 'NP', options, hour_offset=offsets, fig_nb=fn)
        fn = fn + 3 * len(offsets)
        ec.plot_copula_2d('Wind', 'NP', 'Wind', 'NP', options, hour_offset=offsets, fig_nb=fn, redistribute='Spline')
        fn = fn + len(offsets)
        ec.plot_copula_2d('Wind', 'NP', 'Wind', 'NP', options, hour_offset=offsets, fig_nb=fn, redistribute='Gaussian')
        fn = fn + len(offsets)

    if 'representative points' in action:
        offsets = [11, 17]
        list = ec.representative_points('Solar', 'NP', 'Solar', 'NP', options, nbPoints=8, distance_func='l2',
                                        hour_offset=offsets)
        fn += len(offsets)

    if 'parameter dependence' in action:
        offsets = [1, 2, 4, 8, 16, 24]
        # ec.plot_copula_2d('Wind','NP','Wind','NP',options,hour_offset=offsets,fig_nb=fn,parameter={'main':'date'});fn=fn+len(offsets);
        # ec.plot_copula_2d('Wind','NP','Wind','NP',options,hour_offset=offsets,fig_nb=fn,parameter={'main':'wind','kind':'forecasts'});fn=fn+len(offsets);
        # ec.plot_copula_2d('Wind','NP','Wind','NP',options,hour_offset=offsets,fig_nb=fn,parameter={'main':'wind','kind':'actuals'});fn=fn+len(offsets);
        # offsets=[11,23,24,35]
        # offsets=[11]
        res = []
        res.append(
            ec.plot_copula_2d('Wind', 'NP', 'Wind', 'NP', options, hour_offset=offsets, fig_nb=fn, kind='errors')[
                'characteristics'])
        fn += len(offsets)

        print(res)
        for i in res:
            print(i)

    plt.show()


##############################
## This section is to check ##
##############################

def foo(options):
    fn = 0
    # u1=[0.1,0.11,0.13,0.2,0.35,0.36,0.4,0.41,0.43,0.7,0.81,0.95]
    # u1=[i for i in range(20)]
    # u2=[1 for i in u1]
    # col=ec.color_value([i for i in range(len(u1))],typ='blueshade',intervalls=[0.,0.5,0.9])
    # [u1,u2,col]=ec.remove_in_list([u1,u2,col],col,when=['transparent'])
    # u2.reverse()
    # f=ec.compute_distribution(u1,u2)
    # print(ec.remove_in_list([[2,-2,34,2,-1],[1,2,3,4,5]],[1,2,3,4,5],when={3,4}))
    offsets = [11, 23, 24, 35]
    ec.plot_copula_2d('Wind', 'NP', 'Wind', 'NP', options, hour_offset=offsets, fig_nb=fn, kind='forecasts')
    fn = fn + len(offsets)
    plt.show()


def main(args=None):
    # Parse command-line options.
    print("hello")
    try:
        options_parser, guiOverride = MasterOptions.construct_options_parser()
        (options, args) = options_parser.parse_args(args=args)
    except SystemExit:
        # the parser throws a system exit if "-h" is specified - catch
        # it to exit gracefully.
        return

    diff_actions = {'solar correlation', 'seasons comparison', 'time correlation', 'space correlation', 'copula wind',
                    'copula approximation', 'copula spline estimation', 'representative points'}

    test(options,{'seasons comparison'})
    #test(options,{'copula approximation'})
    test(options,{'copula spline estimation'})
    test(options,{'representative points'})
    #     foo(options)
    print(options)


# MAIN ROUTINE STARTS NOW #

main(sys.argv)