使matplotlib自动缩放忽略某些图

显而易见的方法是手动将限制设置为所需的值。（例如

ax.axis([xmin, xmax, ymin, ymax])

如果您不想手动查找限制，则有两种选择…

正如几个人（耕作，Yann和Vorticity）提到的那样，如果您可以绘制最后要忽略的函数，则可以在绘制前禁用自动缩放或将

scaley=False

plot

import numpy as npimport matplotlib.pyplot as pltfig, ax = plt.subplots()x1 = np.linspace(-1,1,100)ax.plot(x1, np.sin(x1))ax.plot(x1, np.sin(x1 / 2.0))ax.autoscale(False)         #You could skip this line and use scalex=False onax.plot(x1, 3 * np.sin(x1)) #the "theoretical" plot. It has to be last either wayfig.savefig('test.pdf')

请注意

zorder

如果您不想依赖顺序，而只想指定要自动缩放的行列表，则可以执行以下操作：（注意：这是一个简化的版本，假设您要处理

Line2D

import numpy as npimport matplotlib.pyplot as pltimport matplotlib.transforms as mtransformsdef main():    fig, ax = plt.subplots()    x1 = np.linspace(-1,1,100)    line1, = ax.plot(x1, np.sin(x1))    line2, = ax.plot(x1, 3 * np.sin(x1))    line3, = ax.plot(x1, np.sin(x1 / 2.0))    autoscale_based_on(ax, [line1, line3])    plt.show()def autoscale_based_on(ax, lines):    ax.dataLim = mtransforms.Bbox.unit()    for line in lines:        xy = np.vstack(line.get_data()).T        ax.dataLim.update_from_data_xy(xy, ignore=False)    ax.autoscale_view()if __name__ == '__main__':    main()