Matplotlib Legends in For Loop

时间:2015-12-10 21:50:02

标签: python matplotlib legend

我将数据分类并将其绘制在带有每个bin的图例的地图上,但每次进行循环时,我的图例中都会显示一条线。如何为每个分类类别在我的图例中获得一行?

注意:我有单独的for循环,以确保较小的圆圈绘制在较大的圆圈之上。

enter image description here

sigcorrs = np.random.rand(100,1)

m = Basemap(llcrnrlon=35.,llcrnrlat=30.,urcrnrlon=-160.,urcrnrlat=63.,projection='lcc',resolution='c',lat_1=20.,lat_2=40.,lon_0=90.,lat_0=50.)  
m.drawcountries()
m.drawmapboundary(fill_color='lightblue')
m.drawparallels(np.arange(0.,90.,5.),color='gray',dashes=[1,3],labels=[1,0,0,0])
m.drawmeridians(np.arange(0.,360.,15.),color='gray',dashes=[1,3],labels=[0,0,0,1])
m.fillcontinents(color='beige',lake_color='lightblue',zorder=0)
plt.title('Mean Absolute Error')

for a in range(len(clat)):
    if sigcorrs[a] > 0.8:
        X,Y = m(clon[a],clat[a])  
        m.scatter(X,Y,s=300,label='Corr > 0.8')
    else:
        continue

for a in range(len(clat)):
    if sigcorrs[a] > 0.6 and sigcorrs[a] <= 0.8:
        X,Y = m(clon[a],clat[a])  
        m.scatter(X,Y,s=200,label='Corr > 0.6')
    else:
        continue

for a in range(len(clat)):
    if sigcorrs[a] > 0.4 and sigcorrs[a] <= 0.6:
        X,Y = m(clon[a],clat[a])  
        m.scatter(X,Y,s=100,label='Corr > 0.4')
    else:
        continue

for a in range(len(clat)):
    if sigcorrs[a] <= 0.4:
        X,Y = m(clon[a],clat[a])  
        m.scatter(X,Y,s=50,label='Corr < 0.4')
    else:
        continue

plt.legend()
plt.show()

1 个答案:

答案 0 :(得分:4)

您可以通过为每个类别仅设置一个标签来避免这种情况。 例如,在第一个循环中:

label_added =False
for a in range(len(clat)):
if sigcorrs[a] > 0.8:
    X,Y = m(clon[a],clat[a])  
    if not label_added:
        m.scatter(X,Y,s=300,label='Corr > 0.8')
        label_added = True
    else:
        m.scatter(X,Y,s=300)
else:
    continue