如何在条形图中添加折线

Question

Diclaimer: I am still pretty new to data analysis and Python, so if you see a better way to write code for plotting my data, I would be more than happy to get feedback.

I have data for two different categories, over 7 weeks. I need to plot this data onto a graph and make it easy to read.

The first thing I did it to create a bar chart with data from group 2 stacked on data from group 1. However I would also like to add a line to my graph that shows the evolution of the data from group 2 a little better.

But when I do so, the line seems to use different values for x, even though I used the exact same thing.

fig, ax = plt.subplots(figsize=(20,10))
sns.barplot('week', 'group1', data=memberships, color = '#E30613', saturation=1)
sns.barplot('week', 'group2', data=memberships, color = '#009FE3', bottom=group1, saturation=1)
sns.lineplot('week', 'group2', data=memberships)

The result

What can I do to have the line on top of the bar chart?

EDIT: To complement my question, here is the dataset I am using

Answer 1

I struggled a lot with this one. First I tried to plot using the plot methods from pandas but I could not manage to get the line graph on top of the bar graph. So I used the standard matplotlib functions.

memberships = pd.DataFrame(data={'week':range(37,44), 
                                 'group1':[248, 243, 287, 354, 315, 348, 303], 
                                 'group2':[42,53,65,73,60,62,84]})

fig, ax = plt.subplots()
ax.bar(memberships.week-0.5, memberships.group1, color = '#E30613')
ax.bar(memberships.week-0.5, memberships.group2, color = '#009FE3', bottom=memberships.group1)
ax.plot(memberships.week, memberships.group2, linewidth=4)