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 ?
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)