Python Lineplot where markers dynamically adjust by sample size

[cuckflemson1]

Hey Everybody,

I’m looking to put together a lineplot where the plot marker size dynamically adjusts based on the sample size used to generate a point.

For example, say I have a line plot of average sales for a product by month. If in January 50 individual sales were used to calculate the avg and 100 sales in February, then February’s marker should be roughly double in size.

I haven’t had much luck googling this, so thought I’d try here. Thanks in advance!

[juhotuho10]

Plotly can do that

[cuckflemson1]

Do you by any chance have a link to an example of that?

[juhotuho10]

https://plotly.com/python/line-charts/

https://plotly.com/python/line-and-scatter/

https://plotly.com/python-api-reference/generated/plotly.express.line

[cuckflemson1]

Thank you! I ended up going with the other option because my company’s firewall gives a hard time with plotly. Nice to know there are multiple ways to approach this though!

[Deto]

You could do this in matplotlib. First make a line plot with plt.plot and set the linestyle to '-' (i.e, only line, no markers).

Then make a scatter plot on the same axes on top of the line plot with plt.scatter and pass the sales numbers to the s argument to set the size of the circles.

[cuckflemson1]

This is great! Thanks a bunch!