#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Mon Sep 27 16:51:22 EDT 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
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
ifile = 'data_precip_AM2.5C360_amip_5ens_1871-202107.masked.south.nc'
da = xr.open_dataarray(ifile).load()
da14 = da.sel(time=slice('1871-12', '2021-01')).rolling(time=14).mean().dropna('time') \
    .isel(time=slice(0, None, 12)).groupby('time.year').mean('time') \
    .pipe(lambda x: x*14*30).assign_attrs(units='mm')
 
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    plt.close('all')
    fig, ax = plt.subplots()
    da_ = da14.pipe(lambda x: x - x.sel(year=slice(1981, 2010)).mean('year')).assign_attrs(units='mm')
    da_.mean('en').plot(marker='o', fillstyle='none', ax=ax)
    da_.plot(hue='en', add_legend=False, color='C0', alpha=0.2, lw=1, ax=ax)
    
    ax.set_title('14-mon (Dec$_{-2}$ $-$ Jan$_{0}$) precip anomaly from AM2.5C360')
    ax.set_xlabel('end year of rainfall period')
    
    #savefig
    if 'savefig' in sys.argv:
        figname = __file__.replace('.py', f'.png')
        wysavefig(figname)
    tt.check(f'**Done**')
    plt.show()