python - 在 mpld3 中设置刻度标签

Question

我正在尝试用一些数据创建一个简单的条形图(这里是硬编码的，但我会在某个时候从文件中读取它)。到目前为止，我能够获得条形图，但我希望每个条形图下方都有“功能名称”属性。现在，我只得到数字 1 到 16。我该怎么做才能在每个栏下制作每个功能？

我的代码:

import matplotlib.pyplot as plt
import numpy as np
import mpld3

fig, ax = plt.subplots()

N = 17
feature_name = ('AccountLength','Intlact','Vmailact','Vmailnumber','day minutes','day calls','day charge','evening minutes','evening calls','evening charge','night minutes','night calls','night charge','intl minutes','intl calls','intl charge','cust calls')
importance = (0.0304,0.0835,0.0222,0.0301,0.1434,0.0315,0.1354,0.0677,0.0268,0.0669,0.0386,0.0286,0.0371,0.0417,0.0521,0.0434,0.1197)
ind = np.arange(N)
width = 0.20
rects = ax.bar(ind, importance, width, color = 'r')
ax.grid(color='white', linestyle='solid')

ax.set_title("Why are my customers churning?", size=20)
ax.set_ylabel('Importance in percentage')
ax.set_xlabel('Feature Name')
ax.set_xticklabels( (feature_name) )
labels = (feature_name)
tooltip = mpld3.plugins.PointLabelTooltip(rects, labels=labels)
mpld3.plugins.connect(fig, tooltip)

mpld3.show()

编辑:事实证明，如果我使用 plt.show()，我可以看到刻度标签，但是当我尝试在 mpld3 中做同样的事情时，它不起作用。还想知道为什么工具提示不显示。

Answer 1

我认为答案为时已晚，但也许这可以帮助其他人。

将文本设置为刻度标签似乎在 mpld3 包中确实存在一些问题，但是在将一些数据绘制到特定范围值时我能够做到这一点，然后将刻度设置到该范围并最终设置勾选需要的标签。

from matplotlib import pyplot as plt
import numpy as np
import mpld3

fig, ax = plt.subplots()

feature_name = ('AccountLength','Intlact','Vmailact','Vmailnumber','day minutes','day calls','day charge','evening minutes','evening calls','evening charge','night minutes','night calls','night charge','intl minutes','intl calls','intl charge','cust calls')
importance = (0.0304,0.0835,0.0222,0.0301,0.1434,0.0315,0.1354,0.0677,0.0268,0.0669,0.0386,0.0286,0.0371,0.0417,0.0521,0.0434,0.1197)
ind = range(1, len(feature_name)+1)
width = 0.20

rects = ax.bar(ind, importance, width, color = 'r')

ax.grid(linestyle='solid')
ax.set_title("Why are my customers churning?", size=20)
ax.set_ylabel('Importance in percentage')
ax.set_xlabel('Feature Name')
ax.set_xticks(ind)
ax.set_xticklabels(feature_name)

mpld3.show()

结果:

有一个额外的工作人员来处理刻度轮换(mpld3 也不支持)。也许可以编写自定义插件来实现这一点。如果有人需要这个，我会更新答案。