#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Fri May 29 11:37:36 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 misc.cim import cim, sem
# add /tigress/wenchang/analysis/seedTC to sys.path
maindir = '/tigress/wenchang/analysis/seedTC'
if maindir not in sys.path:
    sys.path.append(maindir)
from AM2p5C360.WP.data_nseedxp_rainy2xvort import get_nseedxp
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
def get_cycle(basin='NA', years=None):
    if years is None:
        years = slice('1980', '2018')
    da = get_nseedxp(basin=basin).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
    basin = 'WP'
    years = slice('1980', '2018')
    #label = os.path.basename(os.path.dirname(os.path.abspath(__file__))) # parent dir name
    label = f'AM2.5C360 {basin}'
    figname = __file__.replace('.py', f'_{basin}_{label}_{tt.today()}.png')
    ds = get_cycle(basin=basin, years=years)
    fig, ax = plt.subplots()
    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_ylabel(f'{label} N_SEED(rainy)$\\times$p')
    plt.savefig(figname)
    print('[saved]:', figname)

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