<p>这里有一个可能的解决方案(我玩得很开心!)以下内容:</p>
<pre><code>df = pd.DataFrame(np.random.rand(6, 4),
index=['one', 'two', 'three', 'four', 'five', 'six'],
columns=pd.Index(['A', 'B', 'C', 'D'],
name='Genus')).round(2)
ax = df.plot(kind='bar',figsize=(10,4), rot = 0)
# "Activate" minor ticks
ax.minorticks_on()
# Get location of the center of each rectangle
rects_locs = map(lambda x: x.get_x() +x.get_width()/2., ax.patches)
# Set minor ticks there
ax.set_xticks(rects_locs, minor = True)
# Labels for the rectangles
new_ticks = reduce(lambda x, y: x + y, map(lambda x: [x] * df.shape[0], df.columns.tolist()))
# Set the labels
from matplotlib import ticker
ax.xaxis.set_minor_formatter(ticker.FixedFormatter(new_ticks)) #add the custom ticks
# Move the category label further from x-axis
ax.tick_params(axis='x', which='major', pad=15)
# Remove minor ticks where not necessary
ax.tick_params(axis='x',which='both', top='off')
ax.tick_params(axis='y',which='both', left='off', right = 'off')
</code></pre>
<p>我得到的是:</p>
<p><a href="https://i.stack.imgur.com/yCK4h.png" rel="noreferrer"><img src="https://i.stack.imgur.com/yCK4h.png" alt="enter image description here"/></a></p>