#!/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
maindir = '/tigress/wenchang/analysis/seedTC'
if maindir not in sys.path:
    sys.path.append(maindir)
from HiRAM_2xCO2.data_ntc import get_ntc
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(None, None)
    da = get_ntc(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=[...]).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 = 'NA'
    source = 'HiRAM_2xCO2'
    figname = __file__.replace('.py', f'_{basin}_{tt.today()}.png')
    years = None
    ds_ = get_cycle(basin=basin, years=years)
    long_name = f'N_TC({basin}, {source})'
    ax = ds_.rename(mclim=long_name).to_dataframe().plot.bar(y=long_name, yerr='sem', rot=0)
    ax.legend(loc='upper left')
    plt.savefig(figname)
    print('[saved]:', figname)

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