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()