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使用Python在Matplotlib底图中将自然地球形状绘制为多边形

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我接近得到我想要的 Map . Matplotlib的底图非常棒，但是当我放大时海岸线太粗糙了 . 我可以阅读自然地球的形状文件并绘制它们，这些更好......但是当我尝试填充多边形时，我认为它正在处理所有的点属于单个多边形 . 如何迭代多边形并正确显示 Map ？

提前致谢！

这是代码：

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)

my current map

python matplotlib matplotlib-basemap

1 回答

  • 1

    根据要求，这是更新的代码和结果 Map . 我所要做的就是将 ne_10m_coastline 更改为 ne_10m_land ，如下所示：

    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)

    enter image description here

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