How to obtain 2 separate plots in seaborn?

Question

I have a big function which output is a dataframe and 2 charts. Something like this:

summary = pd.concat([mean, std], axis=1)
chart1 = sns.tsplot(sample['x'].cumsum())
chart2 = sns.tsplot(summary['mean'])
result = [summary, chart1, chart2]
return result

Everything works fine, except, I only get one chart with the two time series in it. I would like to get two separate charts. How do I do this?

Thanks

Answer 1

Feed explicit matplotlib objects to tsplot:

import matplotlib.pyplot as plt
import seaborn as sns

def whatever(mean, std, *args, **kwargs):
    summary = pd.concat([mean, std], axis=1)
    chart1, ax1 = plt.subplots()
    sns.tsplot(sample['x'].cumsum(), ax=ax1)

    chart2, ax2 = plt.subplots()
    sns.tsplot(summary['mean'], ax=ax2)
    result = [summary, chart1, chart2]
    return result