使用Python的matplotlib / basemap显示颜色

时间:2011-09-28 16:23:42

标签: python matplotlib gis

我想生成一张美国地图,并使用不同的阴影为每个州着色。有没有办法使用Python的底图来做到这一点?

1 个答案:

答案 0 :(得分:17)

GitHub上的Basemap repo中有一个非常合理的例子:fillstates.py。 shapefile(dbf | shp | shx)也包含在examples folder中。

以下是该示例的缩写版本:

import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from matplotlib.patches import Polygon

# create the map
map = Basemap(llcrnrlon=-119,llcrnrlat=22,urcrnrlon=-64,urcrnrlat=49,
        projection='lcc',lat_1=33,lat_2=45,lon_0=-95)

# load the shapefile, use the name 'states'
map.readshapefile('st99_d00', name='states', drawbounds=True)

# collect the state names from the shapefile attributes so we can
# look up the shape obect for a state by it's name
state_names = []
for shape_dict in map.states_info:
    state_names.append(shape_dict['NAME'])

ax = plt.gca() # get current axes instance

# get Texas and draw the filled polygon
seg = map.states[state_names.index('Texas')]
poly = Polygon(seg, facecolor='red',edgecolor='red')
ax.add_patch(poly)

plt.show()

德克萨斯州红色的结果情节:

Resulting plot with Texas filled red

请注意,当我们加载shapefile时,形状和属性分别存储在map.statesmap.states_info中,作为基于name调用中使用的readshapefile参数的列表。因此,要查找特定状态的形状,我们必须从属性中构建相应的状态名称列表。