如何获得更多xticklabels列

Question

我对编程非常陌生我对条形图有问题。 这是我的条形图：

import numpy as np
import matplotlib.pyplot as plt

N = 3

Start_means = (100, 50, 50)

Start_std = (2, 3, 4)

ind = np.arange(N)  # the x locations for the groups

width = 0.35       # the width of the bars

fig, ax = plt.subplots()

rects1 = ax.bar(ind, Start_means, width, color='xkcd:cyan', yerr=Start_std)

End_means = (80, 30, 30)

End_std = (3, 5, 2)

rects2 = ax.bar(ind + width, End_means, width, color='xkcd:red', yerr=End_std)

# add some text for labels, title and axes ticks

ax.set_ylabel('Available')

ax.set_title('Travel availability, by tour')

ax.set_xticks(ind + width / 2)

ax.set_xticklabels(('Italy', 'China', 'France',))

如何在此处获取多列？例如Underneath Italy我想要“ID：12345”代表中国“ID：13579”和法国“ID：24680”

ax.legend((rects1[0], rects2[0]), ('Start', 'End'))


def autolabel(rects):
"""
Attach a text label above each bar displaying its height
"""
for rect in rects:
    height = rect.get_height()
    ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
            '%d' % int(height),
            ha='center', va='bottom')

autolabel(rects1)

autolabel(rects2)


plt.show()

Answer 1

除非出于某种原因你真的想要一个新的x轴，我认为只需制作一组中间有'\n'的x标签就可以做得更好。

import numpy as np
import matplotlib.pyplot as plt

N = 3
ind = np.arange(N)  # the x locations for the groups
width = 0.35       # the width of the bars

Start_means = (100, 50, 50)
Start_std = (2, 3, 4)

End_means = (80, 30, 30)
End_std = (3, 5, 2)

fig, ax = plt.subplots()

rects1 = ax.bar(ind, Start_means, width, color='xkcd:cyan', yerr=Start_std)
rects2 = ax.bar(ind+width, End_means, width, color='xkcd:red', yerr=End_std)

ax.set_ylabel('Available')
ax.set_title('Travel availability, by tour')
ax.set_xticks(ind + width/2)


countries = ['Italy', 'China', 'France']
ids = ['ID:12345', 'ID:48900', 'ID:56789']

xlabels = []
for i, j in zip(countries, ids):
    xlabels.append(i + '\n' + j)

ax.set_xticklabels(xlabels)

plt.show()

如果您想要单独的xaxis，请参阅this answer。