pandas 如何在具有不同 Y 轴的同一个 seaborn 图中很好地制作条形图和线图？

How can I make a barplot and a lineplot in the same seaborn plot with different Y axes nicely?

提问by Martín Fixman

I have two different sets of data with a common index, and I want to represent the first one as a barplot and the second one as a lineplot in the same graph. My current approach is similar to the following.

我有两组具有共同索引的不同数据集，我想在同一图中将第一组表示为条形图，将第二组表示为线图。我目前的方法类似于以下内容。

ax = pt.a.plot(alpha = .75, kind = 'bar')
ax2 = ax.twinx()
ax2.plot(ax.get_xticks(), pt.b.values, alpha = .75, color = 'r')

And the result is similar to this

结果与此类似

This image is really nice and almostright. My only problem is that ax.twinx()seems to create a new canvas on top of the previous one, and the white lines are clearly seen on top of the barplot.

这张图片非常好，几乎是正确的。我唯一的问题是ax.twinx()似乎在前一个画布的顶部创建了一个新画布，并且在条形图的顶部可以清楚地看到白线。

Is there any way to plot this without including the white lines?

有没有办法在不包括白线的情况下绘制它？

采纳答案by Serenity

You have to remove grid lines of the second axis. Add to the code ax2.grid(False). However y-ticks of the second axis will be not align to y-ticks of the first y-axis, like here:

您必须删除第二个轴的网格线。添加到代码中 ax2.grid(False)。但是，第二个轴的 y-ticks 不会与第一个 y 轴的 y-ticks 对齐，如下所示：

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import pandas as pd

fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.plot(pd.Series(np.random.uniform(0,1,size=10)), color='g')
ax2 = ax1.twinx()
ax2.plot(pd.Series(np.random.uniform(0,17,size=10)), color='r')
ax2.grid(False)
plt.show()