Python:xtick和标签粘贴在subp的一侧

Question

我在一张图上画了三张地图。出于某种原因，当我给X轴加上标签时，这些数字都挤在图的一边。有没有人可以把这些值分开？在

for j in xrange(0,3):
        data = mydatalist[j]
        a.append(fig.add_subplot(3,2,j+1))]
        m.append(Basemap(projection='mill', llcrnrlat=-90, urcrnrlat=90, \
            llcrnrlon=30,urcrnrlon=390, resolution='c', ax=a[j]))

        x=np.linspace(30,390,288)
        y = np.linspace(-90, 90, 234)                                                                                                                
        x, y = np.meshgrid(x, y)                                                                                                                     
        x, y = m[j](x,y)                                                                                                                             
        cintervals = [-0.1,-0.09, -0.08, -0.07, -0.06,-0.05, -0.04, -0.03, -0.02,-0.01,\                                                             
                 0, 0.01,0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.09,0.1]                                                                                

        mesh = m[j].contourf(x,y,data,cintervals, cmap=plt.cm.jet)
        xlab=np.concatenate([np.arange(30,181,30),np.arange(-150,31,30)])
        plt.xticks(np.linspace(30, 390, 13),xlab)
        plt.tick_params(labelsize=8) 

plt.show()

Answer 1

你的问题是地图坐标和纬度/经度之间的坐标不匹配

将x记号指定为沿x轴显示，间距根据

np.linspace(30, 390, 13)

但是，如果您查看x中的值（即在contourf行中绘制的实际x坐标），您会看到它们从0到{}。在

为了避免这种情况-更换

^{pr2}$

与

plt.xticks(np.linspace(min(x[0]),max(x[0]), len(xlab)),xlab)

---

注意-您可以用一个更小但完整的示例来产生这种效果，这可能有助于您隔离问题。看看如何生成Minimal, complete and verifiable example。目前，您的代码没有运行，因为它缺少a、m、mydatalist和所需的导入。在

我在下面的代码中加入了您可能提供的代码—保留子批次循环—尽管实际上您可能只使用一个绘图而不是子绘图，也会获得相同的效果。在

import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import numpy as np

x=np.linspace(30,390,288)
y = np.linspace(-90, 90, 234)                                                                                                                
xg, yg = np.meshgrid(x, y)                                                                                                                     

fig = plt.figure()

for j in xrange(0,3):
        a = fig.add_subplot(3,2,j+1)
        m = Basemap(projection='mill', llcrnrlat=-90, urcrnrlat=90, llcrnrlon=30,urcrnrlon=390, resolution='c', ax=a)
        m.drawcoastlines() # Just put something on the map - doesn't need to be your complex contour plot
        x, y = m(xg,yg)    

        #You can see the problem with using hard-coded 30,390 if you print this
        #x=30 and x=390 are both in the lowest 0.001% of the x axis
        #print x                                                                                                                            

        xlab=np.concatenate([np.arange(30,181,30),np.arange(-150,31,30)])
        plt.xticks(np.linspace(30,390,13),xlab)

        #Working version commented below
        #plt.xticks(np.linspace(min(x[0]),max(x[0]), len(xlab)),xlab)
        plt.tick_params(labelsize=8) 

plt.show()