#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Thu May 21 11:24:22 EDT 2020
if __name__ == '__main__':
    from misc.timer import Timer
    tt = Timer(f'start {__file__}')
import sys, os.path, os, glob
import xarray as xr, numpy as np, pandas as pd
#import matplotlib.pyplot as plt
#more imports
#from xtc import tc_count
#from xtc.mask import get_landflag
#maindir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
maindir = '/tigress/wenchang/analysis/seedTC'
if maindir not in sys.path:
    sys.path.append(maindir)
from AM2p5C360.SP.data_nseed_rainy2xvort import get_nseed
from misc.cim import cim, sem #confidence interval of the mean
#
if __name__ == '__main__':
    tt.check('end import')
    
#start from here

#annual cycle
def get_cycle(basin='NA', years=None):
    if years is None:
        years = slice('1980', '2018')
    da = get_nseed(basin=basin)
    da = da.sel(time=years)
    # stack dims of ['en', 'time'] and use the stacked 'time' as the new coord
    if 'en' in da.dims:
        da = da.stack(s=['en', 'time']).pipe(lambda x: x.assign_coords(s=x.time)).rename(s='time')
    da_mclim = da.groupby('time.month').mean('time')
    da_cim = da.groupby('time.month').map(cim, dim='time')
    da_sem = da.groupby('time.month').map(sem, dim='time')
    ds_mclim = xr.Dataset(dict(
        mclim=da_mclim,
        cim=da_cim,
        sem=da_sem
        ))
    return ds_mclim

 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    source = 'AM2.5C360_amipHadISST'
    basin = 'SP'
    years = slice('1980', '2018')
    fig, ax = plt.subplots()
    figname = __file__.replace('.py', f'_{basin}_{source}_{tt.today()}.png')
    ds_ = get_cycle(basin=basin, years=years)
    long_name = f'N_SEED({basin}, {source})'
    for i,life in enumerate(ds_.life):
        ax.bar(x='month', height='mclim', width=0.6, yerr='cim', data=ds_.sel(life=life).assign_coords(month=ds_.month.values+0.1*i), label=f'{life.item()}')    
    ax.legend()
    ax.set_xlabel('month')
    ax.set_title(f'{source} {basin} rainy seed # clim')
    ax.set_xticks(range(1,13))
    plt.savefig(figname)
    print('[saved]:', figname)

    tt.check(f'**Done**')
    plt.show()