将 Python 绘图导出为 KML

Question

如何使用 Matplotlib 创建经/纬度图，该图可以导出到 Google Earth，并且点可以正确显示在 GE 上。图片可以在这里看到： https: //i.stack.imgur.com/S2BX7.jpg 似乎我导出的图形周围总是有一个轻微的边框，因此我在图中定义的点在 GE 中是关闭的

x = [0, 10, 10, 0, 0]
y = [10, 10, 0, 0, 10]
x1=[0,1,2,3,4,5,6,7,8,9,10]

fig = Figure(facecolor=None, frameon=False)
ax = fig.add_axes([0,0,1,1])
ax.axis('off')

ppl.plot(x, y, 'r',  axes=ax)
ppl.plot(x, y, '.b', axes=ax)
ppl.plot(x1, x1, 'g', axes=ax)

ppl.axis('off')
ppl.tight_layout(0,h_pad=0, w_pad=0)
border1 = ppl.axis(bbox_inches='tight')
ppl.show()

pngName = 'temp.png'
py.savefig(pngName, bbox_inches='tight', pad_inches=0, transparent=True)

bottomleft  = (border1[0],border1[2])
bottomright = (border1[1],border1[2])
topright    = (border1[1],border1[3])
topleft     = (border1[0],border1[3])

kml = simplekml.Kml()
ground = kml.newgroundoverlay(name='GroundOverlay')
ground.icon.href = pngName
ground.gxlatlonquad.coords =[bottomleft, bottomright, topright, topleft]
kml.save("GroundOverlay_temp.kml")

Answer 1

我有一个解决方案，但我对 Figure 和 Artist 类不够熟悉，无法清楚地解释为什么它是正确的。

你需要做以下两件事：

1. 使用fig = ppl.figure()而不是matplotlib.figure.Figure().
2. 保存为fig.savefig()而不是ppl.savefig().

也不需要使用ight_layout 和padding。我还为人物设置了面部颜色，以便我可以看到真正的边界。使用图像查看器查看输出图像temp.png，您应该看到矩形边框位于图形边缘；当我运行您的原始代码并查看图像时，矩形和图形边界之间总是存在一些少量的空间。

这是固定代码：

import matplotlib
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as ppl
from pylab import rcParams
import simplekml
rcParams['figure.figsize'] = (8,8)
# create rectangle over 0 to 10 degrees longitude and 0 to 10 degrees latitude
x = [0, 10, 10, 0, 0]
y = [10, 10, 0, 0, 10]
x1=range(0,11)    # to draw a diagonal line

fig = ppl.figure(1)
ax = fig.add_axes([0,0,1,1])
ax.axis('off')
fig.patch.set_facecolor('blue')  # so we can see the true extent

ppl.plot(x, y, 'r', linewidth=3)
ppl.plot(x, y, '.b', linewidth=3)
ppl.plot(x1, x1, 'g', linewidth=3)

ppl.axis('off')
border1 = ppl.axis()
print 'Border = %s' %(str(border1))
if False:
    ppl.show()
else:
    pngName = 'Overlay.png'
    fig.savefig(pngName, facecolor=fig.get_facecolor(), transparent=False)

bottomleft  = (border1[0],border1[2])
bottomright = (border1[1],border1[2])
topright    = (border1[1],border1[3])
topleft     = (border1[0],border1[3])

kml = simplekml.Kml()
ground = kml.newgroundoverlay(name='GroundOverlay')
ground.icon.href = pngName
ground.gxlatlonquad.coords =[bottomleft, bottomright, topright, topleft]
kml.save("GroundOverlay.kml")