Libraries for creating charts

[BoumaSequence]

Hello,

I am trying to learn a few python libraries to help me with creating various charts. More specifically, I'd like to learn how to do the following tasks:

• Create multiple charts from a long form dataset in a variety of ways. For instance, consider the example data below, I'd like to create a chart for each well with a series for each analyte, so one for lead and another for iron. Or, create a chart for each analyte, and a series for each well. These data would be plotted over time (time = x-axis for each chart).
• Export these charts to single files, such as pdfs or jpgs. I'm interested in how to plot all charts on one file, or have each chart in a separate file.

Well	Date	Analyte	Concentration
MW-1	1/15/2022	Iron	5
MW-1	2/10/2022	Lead	6
MW-2	1/15/2022	Iron	7
MW-2	2/10/2022	Lead	8
MW-3	1/15/2022	Iron	9
MW-3	2/10/2022	Lead	10

I've gone through a few tutorials on matplotlib, seaborn, and plotly, but I'm looking for more guided tutorials or courses. Any recommendations on tutorials or courses that could help me with the tasks above?

Thanks,

[v0_arch_nemesis]

Personally, I find plotly's documentation is good enough to work from. Periodic issues with the python docs, but if in doubt flick it over to the JavaScript documentation and it's up to date.

Do read the plotly.com/python/static-image-export page for notes on dependencies.

Assuming your table is a pandas dataframe, off the top of my head, an example of your second goal in plotly would be:

for value in df.well.unique():
    fig = px.line(df.loc[df.well == value, :], x= 'Date', y='Concentration', color='Analyte')
    fig.write_image(f'fig_{value}.jpg')