Sharex 有 3 个子图，有多个 y

Question

基本上，我想将 3 个图堆叠在一起，以便它们可以共享 x。问题是，有些图使用 twinx 命令（？），因为它们有 2 个或更多 y 轴。

如果不清楚我的意思，我已经手动将图表放在一起以查看它的外观，但它并不那么好。 （注意/忽略图表下方的线条，我也希望 1 或 2 上没有 x 标签）

Example of graphs

此外，下面显示了其中一个数字代码的示例 - 如果它有帮助的话。

fig = plt.figure()
ax = plt.subplot2grid((2, 2), (0, 0), rowspan=2, colspan=2)
fig.subplots_adjust(left=0.13, bottom=0.12, right=0.91, top=0.9, wspace=0.3, 
hspace=0.5)
plt.margins(x=0)

ax.scatter(data['elapsed_seconds'], Abut_Stress, label='Abutment Stress 
Calculated', linewidth=0, marker='o', s=20,
       c='k')

ax.plot(data['elapsed_seconds'], data['wheel_temp_c'], label='Wheel 
Temperature', linestyle="-", color='b')
ax.plot(data['elapsed_seconds'], data['abut_temp_c'], label='Abutment 
Temperature', linestyle="-", color='g')
ax2 = ax.twinx()
ax2.plot(data['elapsed_seconds'], data['wheel_speed'], label='Wheel Speed', 
linestyle="-", color='r')

# -------------Get legend names to be plotted in the same legend box-------

h1, l1 = ax.get_legend_handles_labels()
h2, l2 = ax2.get_legend_handles_labels()
lg = ax.legend(h1 + h2, l1 + l2, bbox_to_anchor=(0., 0.8, 1., .102), loc=3, 
ncol=1, borderaxespad=0., fontsize=28, )
lg.get_frame().set_linewidth(0.5)

# ----------------------Settings for the first figure window---------------

ax.set_ylim(0, 1000)
ax2.set_ylim(0, 12)
ax.set_xlim(0,data_end)
ax.set_xlabel(r"Time (s)")
ax.set_ylabel(r"Abutment Stress (MPa)    Temperature($^\circ$C)")
ax2.set_ylabel(r"Wheel Speed (RPM)")

ax.get_xaxis().tick_bottom()  
ax2.get_xaxis().tick_bottom()

Answer 1

这里有一个简单的脚本来做你想做的事。它使用plt.subplots 创建具有共享 xaxis 的前三个轴，然后使用ax.twinx 创建双轴。

其中一个共享轴上的偏移脊椎是使用this example on the matplotlib gallery 完成的。

import matplotlib.pyplot as plt

def make_patch_spines_invisible(ax, offset):
    '''
    This function inspired by this example, to offset a twin axis spine. 
    link: https://matplotlib.org/gallery/ticks_and_spines/multiple_yaxis_with_spines.html
    '''
    ax.spines["right"].set_position(("axes", offset))
    ax.set_frame_on(True)
    ax.patch.set_visible(False)
    for sp in ax.spines.values():
        sp.set_visible(False)
    ax.spines["right"].set_visible(True)

# First create your figure, with 3 subplots sharing the x axis.
fig, (ax1, ax2, ax3) = plt.subplots(nrows=3, sharex=True)

# make some room on the right for the twin axes
fig.subplots_adjust(right=0.8)

# The easy ones, create the first twin axes on ax1 and ax2
ax1t = ax1.twinx()
ax2t = ax2.twinx()

# Create the twin axis on ax2 with an offset spine
ax2tb = ax2.twinx()
make_patch_spines_invisible(ax2tb, offset=1.15)

# Here I just set some axes limits to show the y axis scales are all independent
ax3.set_xlim(0, 900)

ax1.set_ylim(0, 2000)
ax2.set_ylim(0, 1000)
ax3.set_ylim(0, 50)

ax1t.set_ylim(0, 12)
ax2t.set_ylim(0, 12)
ax2tb.set_ylim(0, 100)

plt.show()