matplotlib--设置坐标轴

设置图像的

XY坐标轴范围及名称

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(-3, 3, 50) #X axis data
y1 = np.sin(x)*x**2 +1

plt.figure()
plt.plot(x, y1)
plt.scatter(x, y1, c='r')# set color

plt.xlim((-2,2))
plt.ylim((-2,5))
plt.xlabel('X Axis')
plt.ylabel('Y Axis')

plt.savefig('d:/f.png')
plt.show()

设置坐标数据

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(-3, 3, 50) #X axis data
y1 = np.sin(x)*x**2 +1

plt.figure()
plt.plot(x, y1)
plt.scatter(x, y1, c='r')# set color

plt.xlim((-2,2))
plt.ylim((-2,5))
plt.xlabel('X Axis')
plt.ylabel('Y Axis')

new_ticks = np.linspace(-2,2,4)
plt.xticks(new_ticks)

y_ticks=[[-1,   1,  4],
         ['$Bad$','Normal', '$Good$']]
plt.yticks(y_ticks[0], y_ticks[1])

plt.savefig('d:/f.png')
plt.show()

设置边框颜色

ax = plt.gca()
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.spines['left'].set_color('red')
ax.spines['bottom'].set_color('red')

调整坐标轴位置

#xaxis.set_ticks_position设置刻度及数字名称的显示位置
ax.xaxis.set_ticks_position('top')#set tick position para:top, bottom, both, default, none
ax.yaxis.set_ticks_position('right')
#使用spines设置边框，set_position设置边框位置
ax.spines['left'].set_position(('data', 0))