Python 第二个 y 轴时间序列 seaborn
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Second y-axis time series seaborn
提问by J. Doe
Using the data frame
使用数据框
df = pd.DataFrame({
"date" : ["2018-01-01", "2018-01-02", "2018-01-03", "2018-01-04"],
"column1" : [555,525,532,585],
"column2" : [50,48,49,51]
})
one can plot with seabornsay column1with sns.tsplot(data=df.column1, color="g").
可以用seabornsay column1with来绘图sns.tsplot(data=df.column1, color="g")。
How can we plot both time series with two y-axis in seaborn ?
我们如何在 seaborn 中用两个 y 轴绘制两个时间序列？
回答by Andrey Sobolev
As seabornis built on the top of matplotlib, you can use its power:
由于seaborn建立在 之上matplotlib，您可以使用它的强大功能：
import matplotlib.pyplot as plt
sns.lineplot(data=df.column1, color="g")
ax2 = plt.twinx()
sns.lineplot(data=df.column2, color="b", ax=ax2)
回答by ImportanceOfBeingErnest
I would recommend using a normal line plot. You can get a twin axes via ax.twinx().
我建议使用法线图。您可以通过 获得双轴ax.twinx()。
import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame({"date": ["2018-01-01", "2018-01-02", "2018-01-03", "2018-01-04"],
"column1": [555,525,532,585],
"column2": [50,48,49,51]})
ax = df.plot(x="date", y="column1", legend=False)
ax2 = ax.twinx()
df.plot(x="date", y="column2", ax=ax2, legend=False, color="r")
ax.figure.legend()
plt.show()
