如何在matplotlib中将次轴图布置在主轴图之下？

如何在matplotlib中将次轴图布置在主轴图之下？

您需要将第一个轴的zorder设置为在第二个轴的zorder之上，但是您需要在将它们都绘制后再做。将这两行添加到您的

plt.show()

plot.set_zorder(ax2.get_zorder()+1)plot.patch.set_visible(False)

第一行的zorder正确，但是会完全隐藏第二条轴。因此，我们还需要使用第二行删除画布。

编辑

To get the grid lines right using your

rcParams

, you could do the following
instead: Switch which line is plotted on your

plot

axis and your

ax2

axis
(i.e. pressure on

ax2

and needle lift on

plot

), and then change around
which side their axis and tick labels are:

import numpy as npimport matplotlib.pyplot as pltfrom matplotlib import rc_contextfrom matplotlib import ticker as tickdef init_plot_dark():    params = {'backend' : 'agg', 'legend.numpoints' : 1,    'lines.linewidth' : 1.0, 'lines.linestyle' : '-', 'axes.facecolor' : '#EEEEEE', 'axes.edgecolor' : '#FFFFFF',    'axes.linewidth' : 0.0, 'axes.grid' : True, 'axes.titlesize' : 'large', 'axes.labelsize' : 12, 'axes.labelweight' : 'normal',    'axes.labelcolor' : '000000', 'axes.axisbelow' : True, 'polaraxes.grid' : True , 'axes3d.grid' : True,    'axes.color_cycle' : ('#E41A1C', '#377EB8', '#4DAF4A', '#984EA3', '#FF7F00', '#FFFF33', '#A65628', '#F781BF', '#999999'),    'xtick.major.size' : 4 ,'xtick.minor.size' : 2 ,'xtick.major.width' : 0 ,'xtick.minor.width' : 0 ,'xtick.major.pad' : 6,    'xtick.minor.pad' : 6, 'xtick.color' : '#000000' , 'xtick.labelsize' : 10, 'xtick.direction' : 'in',    'ytick.major.size' : 4, 'ytick.minor.size' : 2 ,'ytick.major.width' : 0 ,'ytick.minor.width' : 0 ,'ytick.major.pad' : 6,    'ytick.minor.pad' : 6 ,'ytick.color' : '#000000', 'ytick.labelsize' : 10, 'ytick.direction' : 'in',    'grid.color' : '#FFFFFF', 'grid.linestyle' : '-', 'grid.linewidth' : 0.5, 'grid.alpha' : 1.0,    'legend.fontsize' : 10, 'legend.borderaxespad' : 0.5, 'legend.shadow' : False, 'legend.frameon' : True}    plt.rcParams.update(params)init_plot_dark()data = np.genfromtxt("secondary_axis.dat", skiprows = 2, delimiter = ',')time = data[:, 0]pressure = data[:, 1] * 0.006894759086775369pressure_charge = data[0, 0]needle_lift = data[:, 2]figure = plt.figure(figsize=(5.15, 5.15))figure.clf()plot = plt.subplot(111)plot.plot(time, needle_lift, color='#4DAF4A', zorder = 1)plot.set_xlabel(r'textit{X}', labelpad=6)plot.set_ylabel(r'textit{Z}', labelpad=6)ax2 = plot.twinx()ax2.plot(time, pressure, label = r'textit{Raw}', zorder = 2)ax2.grid(False)ax2.set_ylabel(r'textit{Y}', labelpad=6)primary_ticks = len(ax2.yaxis.get_major_ticks())plot.yaxis.set_major_locator(tick.LinearLocator(primary_ticks))plot.yaxis.tick_right()plot.yaxis.set_label_position("right")ax2.yaxis.tick_left()ax2.yaxis.set_label_position("left")plt.show()