Second y-axis time series seaborn

Question

Using the data frame

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 seaborn say column1 with sns.tsplot(data=df.column1, color="g") .

How can we plot both time series with two y-axis in seaborn ?

Answer 1

As seaborn is built on the top of matplotlib , you can use its power:

import matplotlib.pyplot as plt
sns.lineplot(data=df.column1, color="g")
ax2 = plt.twinx()
sns.lineplot(data=df.column2, color="b", ax=ax2)

Answer 2

I would recommend using a normal line plot. You can get a twin axes via 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()

Answer 3

You could try the following code, based on @Andrey Sobolev's solution, but which will also generate a complete legend.

from matplotlib.lines import Line2D

g = sb.lineplot(data=df.column1, color="g")
g = sb.lineplot(data=df.column2, color="b", ax=g.axes.twinx())
g.legend([Line2D([], [], marker='_', color="g"), Line2D([], [], marker='_', color="b")], ['column 1', 'column2'])