#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Aug 24 16:04:18 EDT 2022
if __name__ == '__main__':
    import sys
    from misc.timer import Timer
    tt = Timer('start ' + ' '.join(sys.argv))
import sys, os.path, os, glob, datetime
import xarray as xr, numpy as np, pandas as pd, matplotlib.pyplot as plt
#more imports
from misc.landmask import flagland
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
#storms can be checked at: /projects/GEOCLIM/wenchang/MODEL_OUT/AM2.5C360/amipHadISST_chancorr_tigercpu_intelmpi_18_1080PE/en01/analysis_lmh/cyclones_gav_ro110_330k/atmos_2019_2019/Harris.TC/lmh_TCtrack_ts_4x.dat.warm.h29_25.TS.NAtl.20190101-20200101.txt
ifile = '/projects/GEOCLIM/wenchang/MODEL_OUT/AM2.5C360/amipHadISST_chancorr_tigercpu_intelmpi_18_1080PE/en01/POSTP/20190101.atmos_4xdaily.nc'
da = xr.open_dataset(ifile)['WVP'].rename(grid_xt='lon', grid_yt='lat')
 
 
if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots.cartopy.api import cartoplot
    figsize = 6,4.5
    plt.close()
    da.sel(time='2019-09-11 12:00:00').load().pipe(lambda x: x.where(flagland(x)<0.5)) \
        .pipe(cartoplot, proj='ortho', proj_kws={'central_latitude': 30, 'central_longitude': -60}, 
            coastline_on=False, land_on=True, land_kws={'color': 'k'}, cmap='Blues_r', figsize=figsize, add_colorbar=False)
    plt.title('')
    
    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        transparent = True
        figname = __file__.replace('.py', f'.png')
        if 'overwritefig' in sys.argv or 'o' in sys.argv:
            wysavefig(figname, overwritefig=True, transparent=transparent)
        else:
            wysavefig(figname, transparent=transparent)
    tt.check(f'**Done**')
    print()
    if 'notshowfig' in sys.argv:
        pass
    else:
        plt.show()