Matplotlib：将Origin移动到左上角

Question

在Matlab中，绘图应使原点位于左上角，x轴位于原点南侧，y轴位于原点以东; x轴在左边缘编号，y轴在顶部边缘标记。

figure();
set(gca,'YAxisLocation','Right','YDir','reverse')
axis([0 10 0 10]);
daspect([1,1,1])
grid on
view([-90 -90])

如何在Python中实现相同的功能？我继续说：

import matplotlib.pyplot as plt
plt.figure(1)

plt.axis([40, 160, 0, 0.03])
plt.grid(True)
plt.show()

什么是python等价物：

1. set(gca,'YAxisLocation','Right','YDir','reverse')
2. daspect([1,1,1])
3. view([-90 -90])

修改

figure
set(gca,'YAxisLocation','right','XTick',0:15,'YDir','reverse')
axis([0 16 0 16]);
daspect([1,1,1])
hold on
text(2,8,'CHN');
text(8,2,'USA');
view([-90 -90])

输出是：

Answer 1

这是一个注释示例，显示如何反转轴并将刻度移动到顶部，设置网格状态并模仿view（）命令：

import matplotlib.pyplot as plt
import numpy as np

plt.figure()    
plt.axis([0, 16, 0, 16])     
plt.grid(False)                         # set the grid
data= [(8,2,'USA'), (2,8,'CHN')]

for obj in data:
    plt.text(obj[1],obj[0],obj[2])      # change x,y as there is no view() in mpl


ax=plt.gca()                            # get the axis
ax.set_ylim(ax.get_ylim()[::-1])        # invert the axis
ax.xaxis.tick_top()                     # and move the X-Axis      
ax.yaxis.set_ticks(np.arange(0, 16, 1)) # set y-ticks
ax.yaxis.tick_left()                    # remove right y-Ticks

图像：