带有 pandas 的多个堆叠条形图 [英] Multiple stacked bar plot with pandas
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问题描述
我正在尝试用熊猫制作多个堆叠的条形图,但是我遇到了问题.这是示例代码:
I am trying to make a multiple stacked bar plot with pandas but I'm running into issues. Here is a sample code:
import pandas as pd
df = pd.DataFrame({'a':[10, 20], 'b': [15, 25], 'c': [35, 40], 'd':[45, 50]}, index=['john', 'bob'])
ax = df[['a', 'c']].plot.bar(width=0.1, stacked=True)
ax=df[['b', 'd']].plot.bar(width=0.1, stacked=True, ax=ax)
df[['a', 'd']].plot.bar(width=0.1, stacked=True, ax=ax)
会产生以下情节:
如您所见,每个群集中的条形图相互重叠,这不是我想要实现的.我希望将同一群集中的条形图彼此相邻地绘制.我尝试使用位置"参数,但收效甚微.
As you can see, the bars within each cluster are plotted on top of each other, which is not what I want to achieve. I want the bars within the same cluster to be plotted next to each other. I tried to play with the "position" argument but without much success.
关于如何实现这一目标的任何想法?
Any idea on how to achieve this?
推荐答案
您可以通过移动bar-plot
的position
参数,使它们彼此相邻,如下所示:
You could do it by shifting the position
parameter of a bar-plot
so that they are adjacent to each other as shown:
matplotlib.style.use('ggplot')
fig, ax = plt.subplots()
df[['a', 'c']].plot.bar(stacked=True, width=0.1, position=1.5, colormap="bwr", ax=ax, alpha=0.7)
df[['b', 'd']].plot.bar(stacked=True, width=0.1, position=-0.5, colormap="RdGy", ax=ax, alpha=0.7)
df[['a', 'd']].plot.bar(stacked=True, width=0.1, position=0.5, colormap="BrBG", ax=ax, alpha=0.7)
plt.legend(loc="upper center")
plt.show()
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