matplotlib--设置坐标轴

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设置图像的

XY坐标轴范围及名称

import numpy as npimport matplotlib.pyplot as pltx = np.linspace(-3, 3, 50) #X axis datay1 = np.sin(x)*x**2 +1plt.figure()plt.plot(x, y1)plt.scatter(x, y1, c='r')# set colorplt.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 npimport matplotlib.pyplot as pltx = np.linspace(-3, 3, 50) #X axis datay1 = np.sin(x)*x**2 +1plt.figure()plt.plot(x, y1)plt.scatter(x, y1, c='r')# set colorplt.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, noneax.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))

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