1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
|
from mpl_toolkits.basemap import Basemap
import numpy as np
import matplotlib.pyplot as plt
import sys
def get_input(prompt):
if sys.hexversion > 0x03000000:
return input(prompt)
else:
return raw_input(prompt)
# create Basemap instance for Geostationary (satellite view) projection.
lon_0 = float(get_input('enter reference longitude (lon_0):'))
# map with land/sea mask plotted
fig=plt.figure()
m = Basemap(projection='geos',lon_0=lon_0,rsphere=(6378137.00,6356752.3142),resolution=None)
# plot land-sea mask.
# land red, oceans blue.
# lakes=True means plot inland lakes with ocean color.
m.drawlsmask(land_color='red',ocean_color='blue',lakes=True)
# draw parallels and meridians.
m.drawparallels(np.arange(-90.,120.,30.))
m.drawmeridians(np.arange(0.,420.,60.))
m.drawmapboundary()
plt.title('Geostationary Map Centered on Lon=%s' % (lon_0))
# map with continents drawn and filled.
fig = plt.figure()
m = Basemap(projection='geos',lon_0=lon_0,rsphere=(6378137.00,6356752.3142),resolution='l')
m.drawcoastlines()
m.drawmapboundary(fill_color='aqua')
m.fillcontinents(color='coral',lake_color='aqua')
m.drawcountries()
# draw parallels and meridians.
m.drawparallels(np.arange(-90.,120.,30.))
m.drawmeridians(np.arange(0.,420.,60.))
m.drawmapboundary()
plt.title('Geostationary Map Centered on Lon=%s' % (lon_0))
plt.show()
|
