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from __future__ import division,print_function
import matplotlib as mpl
import scipy as sp
from folderpath import *
from datatools import *
from gridtools import *
from plottools import *
from projtools import *
import interptools as ipt
import matplotlib.tri as mplt
import matplotlib.pyplot as plt
#from mpl_toolkits.basemap import Basemap
import os as os
import sys
np.set_printoptions(precision=8,suppress=True,threshold=sys.maxsize)
import pandas as pd
import ttide
# Define names and types of data
name='sjh_hr_v3_0.0175_shallow'
grid='sjh_hr_v3'
starttime=1008
endtime=-1
region=regions('sfmwhole')
region2=regions('bof_nemo')
savepath='{}/png/{}_{}/compare_TG/{}_{}_{}/'.format(figpath,grid,datatype,name,starttime,endtime)
if not os.path.exists(savepath): os.makedirs(savepath)
save=np.load('dataout/sjh_hr_v3_2d/compare_TG/{}_1008_-1/tg_compare_out_allcon.npy'.format(name))
save=save[()]
cons=['M2 ','N2 ','S2 ','K1 ','O1 ']
for con in cons:
amp=np.array([])
phase=np.array([])
lon=np.array([])
lat=np.array([])
for key in save:
if con in save[key]['df'].index:
lon=np.append(lon,save[key]['lon'])
lat=np.append(lat,save[key]['lat'])
amp=np.append(amp,save[key]['df'].loc[con,'Amp diff'])
phase=np.append(phase,save[key]['df'].loc[con,'Phase diff'])
f=plt.figure()
ax=f.add_axes([.125,.1,.775,.8])
plotcoast(ax,filename='mid_nwatl6c_sjh_lr.nc',filepath=coastpath, color='k', fcolor='0.75', fill=True)
cbax=ax.scatter(lon,lat,c=amp,s=10,edgecolor='None',vmin=-.1,vmax=.1,cmap=mpl.cm.seismic)
plt.colorbar(cbax)
ax.axis(region['region'])
f.savefig('{}{}_{}_amp.png'.format(savepath,region['regionname'],con.replace(' ','')),dpi=300)
ax.axis(region2['region'])
f.savefig('{}{}_{}_amp.png'.format(savepath,region2['regionname'],con.replace(' ','')),dpi=300)
f=plt.figure()
ax=f.add_axes([.125,.1,.775,.8])
plotcoast(ax,filename='mid_nwatl6c_sjh_lr.nc',filepath=coastpath, color='k', fcolor='0.75', fill=True)
cbax=ax.scatter(lon,lat,c=phase,s=10,edgecolor='None',vmin=-20,vmax=20,cmap=mpl.cm.seismic)
plt.colorbar(cbax)
ax.axis(region['region'])
f.savefig('{}{}_{}_phase.png'.format(savepath,region['regionname'],con.replace(' ','')),dpi=300)
ax.axis(region2['region'])
f.savefig('{}{}_{}_phase.png'.format(savepath,region2['regionname'],con.replace(' ','')),dpi=300)
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