#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed Sep 18 23:01:01 EDT 2019
#import os.path, sys, os
import matplotlib.pyplot as plt
import xarray as xr, numpy as np, pandas as pd
import geoxarray

figname = 'fig.cycle.png'
figsize = None#(8,4)
savefig = [False, True][1]
ylabel = 'mm/day'
title = 'Mozambique annual cycle of spatial-mean daily precip'

plt.figure(figsize=figsize)

# obs 
label = 'CHIRPS'
ifile = 'data/chirps.p05.Mozambique.masked.fldmean.nc'
da = xr.open_dataarray(ifile)
ts = da.groupby('time.dayofyear').mean('time')
ts.plot(label=label, color='k')

# flor1860 
label = 'FLOR-1860'
scale = 24*3600
ifile = 'data/FLOR.CTL1860_newdiag_tigercpu_intelmpi_18_576PE.precip.Mozambique.masked.fldmean.nc'
da = xr.open_dataarray(ifile).sel(time=slice('0101', '1000'))
ts = da.groupby('time.dayofyear').mean('time').pipe(lambda x: x*scale)
ts.plot(label=label)

# flor1990 
label = 'FLOR-1990'
scale = 24*3600
ifile = 'data/FLOR.CTL1990_newdiag_tigercpu_intelmpi_18_576PE.precip.Mozambique.masked.fldmean.nc'
da = xr.open_dataarray(ifile).sel(time=slice('0101', '1000'))
ts = da.groupby('time.dayofyear').mean('time').pipe(lambda x: x*scale)
ts.plot(label=label)

plt.legend()
if title is not None:
    plt.title(title)
if ylabel is not None:
    plt.ylabel(ylabel)

plt.tight_layout()
if savefig:
    plt.savefig(figname, dpi=128)