Python Pandas并排绘制两个BARH [英] Python Pandas Plotting Two BARH side by side

问题描述

我正在尝试绘制类似这样的情节，

I am trying to make a plot that is similar like this,

左侧图表(带有图例的图)源自df_2，右侧图表源自df_1.

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.

但是，我不能使两个图并排共享y轴.

However, I cannot make the two plots side-by-side share the y-axis.

这是我当前的绘制方式:

Here is my current way to plot:

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()

代码将在两个不同的画布"中生成两个图.

The code will resulted two plots in two different "canvas".

1. 如何使它们并排共享y轴?
2. 如何删除左侧图表的y轴标签(来自df_2的图表)?

1. How can I make them side-by-side sharing the y-axis?
2. How can I remove the label in y-axis for the left hand side chart (chart derived from df_2)?

任何建议将不胜感激.谢谢.

Any suggestions will be much appreciated. Thanks.

推荐答案

您可以使用plt.subplots(sharey=True)创建共享子图.然后将数据框绘制到两个子图上.

You can create shared subplots using plt.subplots(sharey=True). Then plot the dataframes to the two subplots.

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()

这篇关于Python Pandas并排绘制两个BARH的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！