#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Thu Jun  4 11:50:59 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
import xaddon
from amipHadISST.fig_scatter_ntc_vs_alt import get_scatter_data as get_scatter_data_hiram, scatterplot
from ERA5.fig_scatter_ntc_vs_alt import get_scatter_data as get_scatter_data_obs
#from IBTrACS.data_ntc_cycle import get_cycle as cycle_ntc
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
basin = 'NA'
years = slice('1980', '2018')
ds_obs = get_scatter_data_obs(basin=basin, years=years)
#ds_obs['ntc_era5'] = ds_obs['ntc']
#ds_obs['ntc'] = cycle_ntc(basin=basin, years=years)['mclim']
ds_hiram = get_scatter_data_hiram(basin=basin, years=years)
    
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    fig, axes = plt.subplots(2, 3, sharey=True, figsize=(8,3*1.9))
    suptitle = None #'Obs. (IBTrACS TC)'
    #figname = __file__.replace('.py', f'_{tt.today()}.png')

    #obs
    ds = ds_obs

    ax = axes[0, 0]
    #scatterplot(ax=ax, xlabel='ERA5 p($\Lambda$)', ylabel='IBTrACS N_TC', x='p', y='ntc', data=ds)
    #scatterplot(ax=ax, xlabel=None, ylabel='N_TC', x='p', y='ntc', data=ds, title='Obs.', tag='(a)')
    scatterplot(ax=ax, ylabel='N_TC', x='pxp', y='ntc', title='Obs.', data=ds, tag='(a)')

    ax = axes[0, 1]
    #scatterplot(ax=ax, xlabel='N_SEED', x='nseed', y='ntc', data=ds)
    #scatterplot(ax=ax, xlabel=None, x='nseed', y='ntc', data=ds, tag='(b)')
    scatterplot(ax=ax, x='ntcxp', y='ntc', data=ds, tag='(b)')

    ax = axes[0, 2]
    #scatterplot(ax=ax, xlabel='N_SEED$\\times$p($\Lambda$)', x='nseedxp', y='ntc', data=ds)
    scatterplot(ax=ax, xlabel=None, x='nseedxp', y='ntc', data=ds, tag='(c)')

    ds = ds_hiram
    ax = axes[1, 0]
    #scatterplot(ax=ax, xlabel='p($\Lambda$)', ylabel='HiRAM N_TC', x='p', y='ntc', data=ds)
    #scatterplot(ax=ax, xlabel='p($\Lambda$)', ylabel='N_TC', x='p', y='ntc', data=ds, title='HiRAM', tag='(d)')
    scatterplot(ax=ax, xlabel='p($\Lambda$)$\\times$p($\Lambda$)', ylabel='N_TC', x='pxp', y='ntc', data=ds, title='HiRAM', tag='(d)')

    ax = axes[1, 1]
    #scatterplot(ax=ax, xlabel='N_SEED', x='nseed', y='ntc', data=ds, tag='(e)')
    scatterplot(ax=ax, xlabel='N_TC$\\times$p', x='ntcxp', y='ntc', data=ds, tag='(e)')

    ax = axes[1, 2]
    scatterplot(ax=ax, xlabel='N_SEED$\\times$p($\Lambda$)', x='nseedxp', y='ntc', data=ds, tag='(f)')

    if suptitle is not None:
        fig.suptitle(suptitle)

    if len(sys.argv)>1 and sys.argv[1]=='savefig':
        figname = __file__.replace('.py', '.png')
        wysavefig(figname)

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