nemo_analysis/plot_map_shark_points.py at master · siirias/nemo_analysis · GitHub

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# -*- coding: utf-8 -*-
"""
Created on Tue Jul  3 14:11:45 2018

@author: siirias
"""

import datetime
import matplotlib as mp
import matplotlib.pyplot as plt
import numpy as np
from scipy.io import netcdf
#from mpl_toolkits.basemap import Basemap
#from mpl_toolkits.basemap import Basemap, shiftgrid, cm
import cartopy.crs as ccrs
import cartopy.feature as cfeature
from netCDF4 import Dataset
from smartseahelper import smh
import os
import cmocean
import re


font_size=10.0
resolution='i'  #h
projection='laea'
data_dir= "D:\\Data\\SmartSeaModeling\\SharkExamples\\"
output_dir = "D:\\Data\\Figures\\SmartSea\\"
out_filename = "Shark_points.png"
draw_labels = True
plot_area = [17.0, 26.0, 60.0, 66.0]
center = [(plot_area[0]+plot_area[1])*0.5, (plot_area[2]+plot_area[3])*0.5]
lat_steps = 1.0
lon_steps = 1.0
figure_size = (10,10)

plot_area = [17.5, 23.0, 59.75, 60.7]
figure_size = (10,5)

#requested_proj = ccrs.PlateCarree()
requested_proj = ccrs.LambertAzimuthalEqualArea(center[0],center[1])
#requested_proj = ccrs.UTM(34)

the_proj = requested_proj
if(type(requested_proj) != ccrs.PlateCarree()):
    the_proj = ccrs.PlateCarree()

def create_main_map(proj):
        fig=plt.figure(figsize=figure_size)
        plt.clf()
        ax = plt.axes(projection=proj)
        ax.set_extent(plot_area)
        ax.set_aspect('auto')
        ax.coastlines('10m',zorder=4, alpha = 0.5)
        ax.add_feature(cfeature.NaturalEarthFeature('physical', 'land', '10m',\
                                                edgecolor='face', \
                                                facecolor='#555560', alpha = 0.3))
        grid_proj = ccrs.PlateCarree()
        gl = ax.gridlines(crs=grid_proj, draw_labels=draw_labels,
                  linewidth=2, color='gray', alpha=0.1, linestyle='-')
        gl.xlabels_top = False
        gl.ylabels_right = False
        gl.top_labels = False
        gl.right_labels = False
        return fig

files = os.listdir(data_dir)
dat={}
name_format = '\d*_shark(.*)\.nc'
for f in files:
    point_name=re.search(name_format,f)
    if(point_name):
        point_name = point_name.groups()[0]
        print(point_name)
        with Dataset(data_dir+f) as D:
            lat = D['nav_lat'][0].data[0]
            lon = D['nav_lon'][0].data[0]
            dat[point_name] = {'lat':lat, 'lon':lon}

##Let's try to plot soemthing to start with:
#lon_min=16;lat_min=60;lon_max=26.01;lat_max=66.01;
#first setup teh main map:

#fig=plt.figure(figsize=(10,10))
#if projection in ['laea']:
#    lat_0=0.5*(lat_min+lat_max)
#    lon_0=0.5*(lon_min+lon_max)
#    bmap = Basemap(llcrnrlon=lon_min,llcrnrlat=lat_min,urcrnrlon=lon_max,urcrnrlat=lat_max, \
#                   lat_0=lat_0, lon_0=lon_0,resolution = resolution,
#                   projection=projection,fix_aspect=False)  #resolution c,l,i,h,f
#elif projection in ['merc','cyl']:
#    bmap = Basemap(llcrnrlon=lon_min,llcrnrlat=lat_min,urcrnrlon=lon_max,urcrnrlat=lat_max, \
#                   resolution = resolution,
#                   projection=projection,fix_aspect=False)  #resolution c,l,i,h,f
#
#bmap.drawcoastlines(zorder=21,linewidth=0.5,color='gray')
#bmap.fillcontinents([0.9,0.9,0.9],lake_color=[0.85,0.85,0.85],zorder=20)
#bmap.drawparallels(np.arange(lat_min,lat_max,1.),linewidth=1,zorder=50,labels=[True,False,False,False],dashes=[1,0],color="#00000020",fontsize=10)
#bmap.drawmeridians(np.arange(lon_min,lon_max,2.),linewidth=1,zorder=50,labels=[False,False,False,True],dashes=[1,0],color="#00000020",fontsize=10)
fig = create_main_map(requested_proj)
for name in dat:
    lon = dat[name]['lon']
    lat = dat[name]['lat']
#    mlon,mlat = bmap(lon,lat)
#    plt.plot(mlon,mlat,'r.',zorder = 100)
    plt.plot(lon,lat,'r.',zorder = 100, transform = the_proj)
    if(name in ["F64", "SR5", "US5B", "BO3"]):  # highlight the points used for
                                                # closer inspection
        plt.plot(lon,lat,zorder = 100, transform = the_proj,\
                 color = 'r', marker = 'o', fillstyle='none', markersize= 10.0)

    if(name == 'B7'):
        lon += 0.2
    if(name == 'NB1'):
        lon -= 0.2
#    txtlon,txtlat = bmap(lon,lat+0.07)
    plt.text(lon, lat + 0.07, name, \
             fontsize = 'medium', horizontalalignment = 'center',\
             zorder = 120, transform = the_proj)
#    txtlon,txtlat = bmap(lon,lat-0.20)
    plt.text(lon, lat - 0.2,\
             u"{:.4}° E\n {:.4}° N".format(dat[name]['lon'],dat[name]['lat']), \
             horizontalalignment = 'center', fontsize = 'x-small', \
             zorder = 120, transform = the_proj)
#plot the ice data points:
ice_dat = {'Kemi':{'lat':65.72,'lon':24.43},
           'Kalajoki':{'lat':64.29, 'lon':23.89},
           'Särgrund':{'lat':62.33,'lon':21.21},
           'Kylmäpihlaja':{'lat':61.14,'lon':21.31}}
for name in ice_dat:
        lon = ice_dat[name]['lon']
        lat = ice_dat[name]['lat']
        plt.plot(lon,lat,'b*',zorder = 100, transform = the_proj, markersize=10)
        plt.text(lon, lat + 0.07, name, \
                 fontsize = 'medium', horizontalalignment = 'center',\
                 zorder = 120, transform = the_proj)
        plt.text(lon, lat - 0.2,\
                 u"{:.4}° E\n {:.4}° N".format(ice_dat[name]['lon'],\
                 ice_dat[name]['lat']), \
                 horizontalalignment = 'center', fontsize = 'x-small', \
                 zorder = 120, transform = the_proj)

plt.title('SHARK Points stored in SmartSea')
#plt.savefig(output_dir+out_filename,facecolor='w',dpi=300)
#print("saved {}".format(output_dir+out_filename))