Plot with vertical uncertainties using Seaborn

plot_uncertainties.py

import seaborn as sns
import pandas as pd

data = pd.DataFrame(columns=["tolerance", "baseline", "run_no", "value"])

for baseline_true, table in zip([True, False], [baseline, no_baseline]):
    for tol, row in zip(x, table):
        for run_no, val in zip(range(len(row)), row):
            data.loc[len(data)] = [tol, baseline_true, run_no, val]

sns.tsplot(data=data, time="tolerance", unit="run_no", condition="baseline", value="value")