在python 3.11.2、matplotlib 3.7.1中测试

您只需要添加一个pad。参见matplotlib标记相对于轴的位置

yax = ax.get_yaxis()
yax.set_tick_params(pad=pad)

matplotlib.axis.Axis.set_tick_params
要计算垫应该是什么：

import numpy as np
import matplotlib.pyplot as plt

ticks = ['Lorem ipsum dolor sit amet, consectetur adipisicin', 'g elit, sed do', 'eiusmod tempor incididunt ut labo', 're et dolore magna ali', 'qua. Ut en', 'im ad minim veniam, quis nostr', 'ud exercitation ullamco labo', 'ris nisi ut aliquip ex ea c', 'ommodo co', 'nsequat. Duis aute irure dolor in rep']
data = [5, 1, 2, 4, 1, 4, 5, 2, 1, 5]
ind = np.arange(len(data))
fig = plt.figure(tight_layout=True) # need tight_layout to make everything fit
ax = plt.subplot(111)
ax.barh(ind, data, 0.999)
ax.set_yticks(ind + 0.5)
r = ax.set_yticklabels(ticks, ha = 'left')
fig.set_size_inches(12, 8, forward=True) 
# re-size first, the shift needs to be in display units

yax = ax.get_yaxis()
# find the maximum width of the label on the major ticks
pad = max(T.label1.get_window_extent().width for T in yax.majorTicks)

yax.set_tick_params(pad=pad)
plt.show()

有一个简单的方法可以通过使用mpl_toolkits来实现您的目标。

import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.axisartist as axisartist

ticks = ["Lorem ipsum dolor sit amet, consectetur adipisicin", "g elit, sed do",      "eiusmod tempor incididunt ut labo", "re et dolore magna ali", "qua. Ut en", "im ad minim veniam, quis nostr", "ud exercitation ullamco labo", "ris nisi ut aliquip ex ea c", "ommodo co", "nsequat. Duis aute irure dolor in rep"]
data = [5,1,2,4,1,4,5,2,1,5]
ind = np.arange(len(data))
fig = plt.figure()
ax = plt.subplot(111,axes_class=axisartist.Axes)  # Needs to specify axes_class
ax.barh(ind, data, 0.999)
ax.set_yticks(ind + 0.5)
r = ax.set_yticklabels(ticks)

ax.axis["left"].major_ticklabels.set_ha("left") # Then it's simple to use set_ha.

plt.show()