Utilizzo di Python per tracciare le forme della Terra naturale come poligoni in Matplotlib Basemap

Question

Sono vicino a ottenere la mappa che voglio. La mappa di base di Matplotlib è ottima, ma le linee costiere sono troppo grossolane quando eseguo lo zoom. Posso leggere gli shapefile di Natural Earth e tracciarli, che sono molto meglio ... ma quando provo a riempire i poligoni, penso che stia trattando tutto il punti come appartenenti a un singolo poligono. Come posso scorrere i poligoni e visualizzare correttamente la mappa?

Grazie in anticipo!

Ecco il codice:

import numpy as np 
from mpl_toolkits.basemap import Basemap 
import matplotlib.pyplot as plt 
from matplotlib.patches import Polygon 
from matplotlib.collections import PatchCollection 
%matplotlib inline 

landColor, coastColor, oceanColor, popColor, countyColor = '#eedd99','#93ccfa','#93ccfa','#ffee99','#aa9955' 

fig = plt.figure() 
ax = fig.add_subplot(111) 
s = 1900000 
m = Basemap(projection='ortho',lon_0=-86.5,lat_0=30.3,resolution='l',llcrnrx=-s,llcrnry=-s,urcrnrx=s,urcrnry=s) 
m.drawmapboundary(fill_color=oceanColor) # fill in the ocean 

# generic function for reading polygons from file and plotting them on the map. This works with Natural Earth shapes. 
def drawShapesFromFile(filename,facecolor,edgecolor,m): 
    m.readshapefile(filename, 'temp', drawbounds = False) 
    patches = [] 
    for info, shape in zip(m.temp_info, m.temp): patches.append(Polygon(np.array(shape), True)) 
    ax.add_collection(PatchCollection(patches, facecolor=facecolor, edgecolor=edgecolor, linewidths=1)) 

# read the higher resolution Natural Earth coastline (land polygons) shapefile and display it as a series of polygons 
drawShapesFromFile('\\Conda\\notebooks\\shapes\\ne_10m_coastline',landColor,coastColor,m) 
drawShapesFromFile('\\Conda\\notebooks\\shapes\\ne_10m_urban_areas',popColor,'none',m) 

m.drawcounties(color=countyColor) 
plt.gcf().set_size_inches(10,10) 

Answer 1

Come richiesto, ecco il codice aggiornato e mappa risultante. Tutto quello che dovevo fare era cambiare ne_10m_coastline-ne_10m_land in questo modo:

import numpy as np 
from mpl_toolkits.basemap import Basemap 
import matplotlib.pyplot as plt 
from matplotlib.patches import Polygon 
from matplotlib.collections import PatchCollection 
%matplotlib inline 

landColor, coastColor, oceanColor, popColor, countyColor = '#eedd99','#93ccfa','#93ccfa','#ffee99','#aa9955' 

fig = plt.figure() 
ax = fig.add_subplot(111) 
s = 1900000 
m = Basemap(projection='ortho',lon_0=-86.5,lat_0=30.3,resolution='l',llcrnrx=-s,llcrnry=-s,urcrnrx=s,urcrnry=s) 
m.drawmapboundary(fill_color=oceanColor) # fill in the ocean 

# generic function for reading polygons from file and plotting them on the map. This works with Natural Earth shapes. 
def drawShapesFromFile(filename,facecolor,edgecolor,m): 
    m.readshapefile(filename, 'temp', drawbounds = False) 
    patches = [] 
    for info, shape in zip(m.temp_info, m.temp): patches.append(Polygon(np.array(shape), True)) 
    ax.add_collection(PatchCollection(patches, facecolor=facecolor, edgecolor=edgecolor, linewidths=1)) 

# read the higher resolution Natural Earth coastline (land polygons) shapefile and display it as a series of polygons 
drawShapesFromFile('\\Conda\\notebooks\\shapes\\ne_10m_land',landColor,coastColor,m) 
drawShapesFromFile('\\Conda\\notebooks\\shapes\\ne_10m_urban_areas',popColor,'none',m) 

m.drawcounties(color=countyColor) 
plt.gcf().set_size_inches(10,10)