import sys, datetime, copy, os
from dateutil.relativedelta import relativedelta
import numpy as np; np.set_printoptions(threshold=sys.maxsize)
import matplotlib; matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.colors as clr
from mpl_toolkits.basemap import Basemap

import seaborn as sns
from matplotlib.colors import ListedColormap
from netCDF4 import Dataset

nc   = Dataset('/work/users/hmo/remoclic/Phuong/PHD/BC_2023/Tan/NC1/T_R_season.nc','r') #FD_Char_1961-2020_1yrs_Daily_Reg.nc','r')
Model  = nc.variables['Model'][:]
Season = nc.variables['Season'][:]
month  = nc.variables['month'][:]

r_org  = nc.variables['pr_org'][:]
r_qm   = nc.variables['pr_qm'][:]
t_org  = nc.variables['tas_org'][:]
t_qm   = nc.variables['tas_qm'][:]
xlabels = ['B1','B2','B3','B4','N1','N2','N3']
title = ["DJF","MAM","JJA","SON"]
#Amax = [ 7, 150, 4000, 85, 35, 35 ]
Amax = [ 1000, 1000, 1000, 1000 ]

nbox = len(Season)
#fig, ax = plt.subplots(nbox,figsize=(6,10),sharey=False)
fig, ax = plt.subplots(nbox,figsize=(8,10),sharey=False)
plt.subplots_adjust(hspace=0.4)
plt.subplots_adjust(top=1)
#plt.subplots_adjust(left=0.01)
#plt.subplots_adjust(right=0.02)

for k in range(len(Season)):
    data = (r_org[:,k,:])
#    ymax = round(np.nanmax(data)); ymin = round(np.nanmin(data))
    ymax = Amax[k]; ymin = 0
    yticks = np.linspace(ymin,ymax,5)
    ax[k].boxplot(data, sym='k+')
#    ax[k].set_title('var'+str(k+1))
    ax[k].set_title(title[k])
    ax[k].set_xticklabels(xlabels)
    ax[k].set_ylim(ymin,ymax)

    ax[k].set_yticks(yticks)

#plt.show()
fig.savefig('box_model_new.pdf', bbox_inches="tight", pad_inches=.05, dpi=600)