Produce time series plots for each name pandas - pandas

Question

I have a Pandas data frame df that looks like this:
date A B name
2022-06-25 04:00:00 700 532 aa
2022-06-25 05:00:00 1100 433 aa
2022-06-25 06:00:00 800 754 aa
2022-06-25 07:00:00 1200 288 aa
2022-06-25 08:00:00 700 643 bb
2022-06-25 09:00:00 1400 668 bb
2022-06-25 10:00:00 1600 286 bb
.....
2022-06-03 11:00:00 397 46 cc
2022-06-03 12:00:00 100 7 cc
2022-06-03 13:00:00 400 25 cc
2022-06-03 14:00:00 500 41 cc
2022-06-03 15:00:00 400 0 cc
2022-06-03 16:00:00 300 23 dd
2022-06-03 17:00:00 500 50 dd
2022-06-03 18:00:00 300 0 dd
2022-06-03 19:00:00 400 15 dd
I'm trying to Produce time series plots for each name. Line charts.
number of daily A vs date
number of daily B vs date
I was able to do so and get a plot for each name like this:
df.groupby('name').plot(x='date', figsize=(24,12))
But I couldn't specify a title for each plot like this plt.title(" ")
And also couldn't auto save each plot like this plt.savefig('name.png')
Because they all produce at once.
Is there any other way to produce plots so I can specify the title and save each plot automatically?
Thank you

Answer 1

One of the ways to do what you require is to put the code for your plot creation and plot save inside a for loop. That will allow you to add a title using the title. Also, you will be able to use savefig to individually save each of the plots. The update code and one of the output graphs is shown below. Note that I am adding name as the title and saving the figure as Myplot <name>.png
for name, group in df.groupby('name'):
group.plot(x='date', title=name)
plt.savefig('Myplot {}.png'.format(name), bbox_inches='tight')
First plot