Python Pandas 并排绘制两个 BARH
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Python Pandas Plotting Two BARH side by side
提问by arnold
I am trying to make a plot that is similar like this,
我正在尝试制作一个类似这样的情节，
The left hand side chart (the plot with legend) is derived from df_2, and the right hand side chart is derived from df_1.
左侧图表（带有图例的图）源自df_2，右侧图表源自df_1。
However, I cannot make the two plots side-by-side share the y-axis.
但是，我不能让两个并排的图共享 y 轴。
Here is my current way to plot:
这是我目前的绘图方式：
df_1[target_cols].plot(kind='barh', x='LABEL', stacked=True, legend=False)
df_2[target_cols].plot(kind='barh', x='LABEL', stacked=True).invert_xaxis()
plt.show()
The code will resulted two plots in two different "canvas".
该代码将在两个不同的“画布”中生成两个图。
- How can I make them side-by-side sharing the y-axis?
- How can I remove the label in y-axis for the left hand side chart (chart derived from
df_2)?
- 如何让它们并排共享 y 轴？
- 如何删除左侧图表（源自 的图表
df_2）的y 轴标签？
Any suggestions will be much appreciated. Thanks.
任何建议将不胜感激。谢谢。
回答by ImportanceOfBeingErnest
You can create shared subplots using plt.subplots(sharey=True). Then plot the dataframes to the two subplots.
您可以使用plt.subplots(sharey=True). 然后将数据框绘制到两个子图中。
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
a = np.random.randint(5,15, size=10)
b = np.random.randint(5,15, size=10)
df = pd.DataFrame({"a":a})
df2 = pd.DataFrame({"b":b})
fig, (ax, ax2) = plt.subplots(ncols=2, sharey=True)
ax.invert_xaxis()
ax.yaxis.tick_right()
df["a"].plot(kind='barh', x='LABEL', legend=False, ax=ax)
df2["b"].plot(kind='barh', x='LABEL',ax=ax2)
plt.show()
