#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Mon Dec  6 17:12:53 EST 2021
if __name__ == '__main__':
    from misc.timer import Timer
    tt = Timer(f'start {__file__}')
import sys, os.path, os, glob, datetime
import xarray as xr, numpy as np, pandas as pd, matplotlib.pyplot as plt
#more imports
import xlinregress
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
ds = xr.open_dataset('humh_adjusted.nc')
def wyplot_lintrend(da, **kws):
    """plot linear trend"""
    da = da.dropna('year')#.sel(year=slice(1900, None))
    ax = kws.pop('ax', plt.gca())
    ls = kws.pop('ls', '--')
    
    reg = da.linregress.on(da.year)
    ax.axline([reg.year[0], reg.predicted[0]], [reg.year[-1], reg.predicted[-1]], ls=ls, **kws) 
    
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    #import xfilter
    n_window = 7
    #lowpass = lambda x: x.filter.lowpass(1/n_window, dim='year', padtype='even')
    lowpass = lambda x: x.rolling(year=n_window, center=True).mean()
    plt.close('all')
    ds.HU_raw.pipe(lowpass).plot(label='raw records')
    ds.HU_raw.pipe(lowpass).pipe(wyplot_lintrend, color='C0')
    ds.HU.pipe(lowpass).median('sample').plot(label='adjusted records')
    plt.fill_between(ds.year, *ds.HU.pipe(lowpass).quantile([0.025, 0.975], dim='sample'), alpha=0.2, color='C1', label='%95 CI')
    ds.HU.pipe(lowpass).median('sample').pipe(wyplot_lintrend, color='C1')
    plt.legend()
    plt.ylabel(f'{n_window}-year running-average HU #')
    
    
    #savefig
    if 'savefig' in sys.argv:
        figname = __file__.replace('.py', f'.png')
        wysavefig(figname)
    tt.check(f'**Done**')
    plt.show()