Timeseries plot with min/max shading using Seaborn

Question

I am trying to create a 3-line time series plot based on the following data , in a Week x Overload graph, where each Cluster is a different line.

I have multiple obs

Answer 1

I finally used the good old plot with a design (subplots) that seems (to me) more readable.

df = pd.read_csv('TSplot.csv', sep='\t', index_col=0)
# Compute the min, mean and max (could also be other values)
grouped = df.groupby(["Cluster", "Week"]).agg({'Overload': ['min', 'mean', 'max']}).unstack("Cluster")

# Plot with sublot since it is more readable
axes = grouped.loc[:,('Overload', 'mean')].plot(subplots=True)

# Getting the color palette used
palette = sns.color_palette()

# Initializing an index to get each cluster and each color
index = 0
for ax in axes:
    ax.fill_between(grouped.index, grouped.loc[:,('Overload', 'mean', index + 1)], 
                    grouped.loc[:,('Overload', 'max', index + 1 )], alpha=.2, color=palette[index])
    ax.fill_between(grouped.index, 
                    grouped.loc[:,('Overload', 'min', index + 1)] , grouped.loc[:,('Overload', 'mean', index + 1)], alpha=.2, color=palette[index])
    index +=1