from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
from tkinter import *
root = Tk()
root.geometry("900x600")
root.title("Classes")
dictionary = {}
dictionary["Lat"] = 0
dictionary["Lon"] = 0
dictionary["Location"] = "Missisauga, ON"
lat_temp = IntVar()
lon_temp = IntVar()
location_temp = StringVar()
def finish():
global lat_input
global lon_input
global location_input
dictionary["Lat"] = lat_temp.get()
print(dictionary["Lat"])
dictionary["Lon"] = lon_temp.get()
print(dictionary["Lon"])
dictionary["Location"] = location_temp.get()
print(dictionary["Location"])
dictionary["Lat"] = lat_temp.get()
dictionary["Lon"] = lon_temp.get()
dictionary["Location"] = location_temp.get()
text = Label(root, text="Enter Your Latitude")
text.place(x=70,y=105)
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import json
import urllib.request
issimage = Image.open("iss.gif")
fig = plt.figure(figsize=(7,6))
while(True):
url = 'http://api.open-notify.org/iss-now.json'
response = urllib.request.urlopen(url)
result = json.loads(response.read())
location = result['iss_position']
lat = float(location['latitude'])
lon = float(location['longitude'])
print('Latitude: ', lat)
print('Longitude: ', lon)
# set perspective angle
lat_viewing_angle = -25.274
lon_viewing_angle = 133.77
# define color maps for water and land
ocean_map = (plt.get_cmap('ocean'))(210)
cmap = plt.get_cmap('gist_earth')
# call the basemap and use orthographic projection at viewing angle
m1 = Basemap(projection='ortho',
lat_0=lat_viewing_angle,lon_0=lon_viewing_angle,resolution=None)
# define map coordinates from full-scale globe
map_coords_xy = [m1.llcrnrx,m1.llcrnry,m1.urcrnrx,m1.urcrnry]
map_coords_geo = [m1.llcrnrlat,m1.llcrnrlon,m1.urcrnrlat,m1.urcrnrlon]
#zoom proportion and re-plot map
zoom_prop = 1.0 # use 1.0 for full-scale map
m = Basemap(projection='ortho',resolution='l',
lat_0=lat_viewing_angle,lon_0=lon_viewing_angle,llcrnrx=-map_coords_xy[2]/zoom_prop,
llcrnry=-map_coords_xy[3]/zoom_prop,urcrnrx=map_coords_xy[2]/zoom_prop,
urcrnry=map_coords_xy[3]/zoom_prop)
# coastlines, map boundary, fill continents/water, fill ocean, draw countries
m.drawmapboundary(fill_color=ocean_map)
m.fillcontinents(color=cmap(200),lake_color=ocean_map)
m.drawcoastlines()
m.drawcountries()
# latitude/longitude line vectors
lat_line_range = [-90,90]
lat_lines = 8
lat_line_count = (lat_line_range[1]-lat_line_range[0])/lat_lines
merid_range = [-180,180]
merid_lines = 8
merid_count = (merid_range[1]-merid_range[0])/merid_lines
m.drawparallels(np.arange(lat_line_range[0],lat_line_range[1],lat_line_count))
m.drawmeridians(np.arange(merid_range[0],merid_range[1],merid_count))
# scatter to indicate lat/lon point
x,y = m(lon_viewing_angle,lat_viewing_angle)
m.scatter(x,y,marker='o',color='#DDDDDD',s=3000,zorder=10,alpha=0.7,\
edgecolor='#000000')
m.scatter(x,y,marker='o',color='#000000',s=100,zorder=10,alpha=0.7,\
edgecolor='#000000')
plt.annotate('Insert name', xy=(x, y), xycoords='data',
xytext=(-110, -10), textcoords='offset points',
color='k',fontsize=12,bbox=dict(facecolor='w', alpha=0.5),
arrowprops=dict(arrowstyle="fancy", color='k'),
zorder=20)
# save figure at 150 dpi and show it
plt.savefig('ortho_zoom_example.png',dpi=150,transparent=True)
plt.show()
plt.imshow(issimage, alpha=0.5)
print("It's not working")
____________
WORKING CODE:
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
from tkinter import *
from PIL import Image
import json
import urllib.request
issimage = Image.open("iss.gif")
fig = plt.figure(figsize=(7,6))
while(True):
url = 'http://api.open-notify.org/iss-now.json'
response = urllib.request.urlopen(url)
result = json.loads(response.read())
location = result['iss_position']
lat_iss = float(location['latitude'])
lon_iss = float(location['longitude'])
print('Latitude: ', lat_iss)
print('Longitude: ', lon_iss)
ocean_map = (plt.get_cmap('ocean'))(210)
cmap = plt.get_cmap('gist_earth')
# call the basemap and use orthographic projection at viewing angle
m1 = Basemap(projection='ortho',
lat_0=lat_iss,lon_0=lon_iss,resolution=None)
# define map coordinates from full-scale globe
map_coords_xy = [m1.llcrnrx,m1.llcrnry,m1.urcrnrx,m1.urcrnry]
map_coords_geo = [m1.llcrnrlat,m1.llcrnrlon,m1.urcrnrlat,m1.urcrnrlon]
#zoom proportion and re-plot map
zoom_prop = 2.0 # use 1.0 for full-scale map
m = Basemap(projection='ortho',resolution='l',
lat_0=lat_iss,lon_0=lon_iss,llcrnrx=-map_coords_xy[2]/zoom_prop,
llcrnry=-map_coords_xy[3]/zoom_prop,urcrnrx=map_coords_xy[2]/zoom_prop,
urcrnry=map_coords_xy[3]/zoom_prop)
# coastlines, map boundary, fill continents/water, fill ocean, draw countries
m.drawmapboundary(fill_color=ocean_map)
m.fillcontinents(color=cmap(200),lake_color=ocean_map)
m.drawcoastlines()
m.drawcountries()
# latitude/longitude line vectors
lat_line_range = [-90,90]
lat_lines = 8
lat_line_count = (lat_line_range[1]-lat_line_range[0])/lat_lines
merid_range = [-180,180]
merid_lines = 8
merid_count = (merid_range[1]-merid_range[0])/merid_lines
m.drawparallels(np.arange(lat_line_range[0],lat_line_range[1],lat_line_count))
m.drawmeridians(np.arange(merid_range[0],merid_range[1],merid_count))
# scatter to indicate lat/lon point
x,y = m(lon_iss,lat_iss)
m.scatter(x,y,marker='o',color='#DDDDDD',s=3000,zorder=10,alpha=0.7,\
edgecolor='#000000')
m.scatter(x,y,marker='o',color='#000000',s=100,zorder=10,alpha=0.7,\
edgecolor='#000000')
plt.annotate(str("ISS Location"), xy=(x, y), xycoords='data',
xytext=(-110, -10), textcoords='offset points',
color='k',fontsize=12,bbox=dict(facecolor='w', alpha=0.5),
arrowprops=dict(arrowstyle="fancy", color='k'),
zorder=20)
# save figure at 150 dpi and show it
plt.savefig('ortho_zoom_example.png',dpi=150,transparent=True)
plt.show()
Yusuf Hussain