如何在 pandas 中创建叠加条形图 [英] How to create overlay bar plot in pandas

问题描述

在更新一些较早的代码以使用pandas.DataFrame时，我陷入了以下问题...

While updating some of my earlier code to use pandas.DataFrame, I'm got stuck with following problem...

这是我的原始代码将创建的参考图:

This is the reference plot that my original code would create:

import pandas as pd
import matplotlib.pyplot as plt

a = range(1, 25)
b = a
c = [x+2 for x in b]
d = [x*2 for x in c]

plt.bar(a, d)
plt.bar(a, c)
plt.bar(a, b)
plt.show()

问题定义:

我想使用内置功能pandas.DataFrame创建这个非常相似的情节.确切地说，只有条形图的位置是相关的，我对轴刻度的格式/标签不感兴趣.

I would like to create this very same plot using pandas.DataFrame built in functionality. To be precise, only the bars placement is relevant, I'm not interested in the formatting/labeling of axis ticks.

df = pd.DataFrame({'a': a, 'b': b, 'c': c, 'd': d}, columns=['a', 'b', 'c', 'd'])
df.set_index('a', inplace=True)

df.plot.bar()
plt.show()

默认的熊猫条形图(如上所示)或添加stacked=True选项(见下文)均未产生预期的结果.

Neither, default pandas bar-plot (shown above) nor adding stacked=True option (see below), produced the desired result.

df.plot.bar(stacked=True)
plt.show()

很遗憾，overlay=True选项不存在.

还有另一种(最好是优雅的)方式来达到预期的效果吗?

Is there another (preferably elegant) way to achieve the desired result?

如果没有其他可用的内容，我将只修改pandas.DataFrame值(即相互减去各列)，然后使用stacked=True选项.在实现之前，我很期待看到您的建议...

If nothing else is available, I will just modify the pandas.DataFrame values (i.e. subtract the columns from each other) and then use stacked=True option. Before, I implement that, I'm looking forward to see your suggestions...

推荐答案

您可以将ax参数设置为

You can set the ax parameter with the value returned by subplots, like this:

_, ax = plt.subplots()
df.d.plot(kind='bar', ax=ax, color='red')
df.c.plot(kind='bar', ax=ax, color='green')
df.b.plot(kind='bar', ax=ax, color='blue')

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