我有shapefile和这样的系列:
UF
Acre 261
Alagoas 657
Amazonas 793
Amapá 162
Bahia 1867
Ceará 5657
Distrito Federal 430
Espírito Santo 1734
Goiás 4110
Maranhão 1421
Minas Gerais 11812
Mato Grosso do Sul 1006
Mato Grosso 1391
Pará 1889
Paraíba 1575
Pernambuco 4019
Piauí 1665
Paraná 3745
Rio de Janeiro 1613
Rio Grande do Norte 1998
Rondônia 3102
Roraima 237
Rio Grande do Sul 5643
Santa Catarina 5372
Sergipe 413
São Paulo 8237
Tocantins 771
Name: 0, dtype: int64
其中UF
是shapefile中显示的州名,而系列值是我想用来生成颜色以填充底图的值。这是我到目前为止所得到的:
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
from mpl_toolkits.basemap import Basemap
import matplotlib.cm as cm
import matplotlib as mpl
from matplotlib.collections import PatchCollection
def make_map(ax):
m = Basemap(projection='merc', llcrnrlat=-35, urcrnrlat=7,
llcrnrlon=-77, urcrnrlon=-32, resolution='i', ax=ax)
m.fillcontinents()
return m
def drawstates(fig, ax, data, shapefile='../BRA_adm_shp/BRA_adm1'):
shp = m.readshapefile(shapefile, 'states', drawbounds=False)
norm = mpl.colors.Normalize(vmin=data.min(), vmax=data.max())
cmap = cm.hot
sm = cm.ScalarMappable(norm=norm, cmap=cmap)
colors = []
patches = []
for nshape, seg in enumerate(m.states):
uf = m.states_info[nshape]['NAME_1']
color = sm.to_rgba(data[uf])
poly = Polygon(seg, facecolor=color, edgecolor='white')
ax.add_patch(poly)
patches.append(poly)
colors.append(color)
p = PatchCollection(patches, cmap=cmap)
p.set_array(np.array(colors))
cb = fig.colorbar(p, ax=ax, orientation='horizontal')
fig, axes = plt.subplots(1, 2, figsize=(20, 10))
m = make_map(axes[0])
drawstates(fig, m.ax, m1)
导致:
我不确定这是否是正确的做法,但我想知道如何保留输入值的比例,即不在0和1之间缩放颜色条,以及如何防止这个大距离地图和它的颜色条之间。
答案 0 :(得分:2)
根据ScalaMappable sm
对多边形进行着色。因此,此ScalarMappable是您要作为colormap
sm = cm.ScalarMappable(norm=norm, cmap=cmap)
sm.set_array([]) # can be an empty list
# ...
cb = fig.colorbar(sm, ax=ax, orientation='horizontal')
可以使用pad
参数设置轴和颜色条之间的填充。默认值应为pad=0.15
,您需要自己找到一个好的值。