Is the `markers` parameter in scatterplot() not implemented?

Hello! I’m trying to create a scatter plot where the markers are different for each category (both the colour and the marker style). I can do this in lmplot(), for example:

iris = sns.load_dataset('iris')
sns.lmplot(data=iris, x='petal_length', y='petal_width', hue='species', markers=['o', '*', '+'], fit_reg=False)

But when I try the equivalent with the scatterplot() function, the markers are all the same style:

sns.scatterplot(data=iris, x='petal_length', y='petal_width', hue='species', markers=['o', '*', '+'])

I’m wondering if this markers parameter hasn’t been implemented yet in scatterplot(), or if it requires a different syntax? I’ve tried various different approaches, but I can’t seem to get the markers to be different styles for different categories.

Alternatively, is there some way that I can use lmplot() so that the scatter plot it creates can be created as a subplot within a figure with other subplots, that aren’t part of a FacetGrid? This is straightforward with scatterplot() because I can provide the subplot axes as an input to the function, but I can’t figure out how to do this with lmplot().

Any assistance would be greatly appreciated! Thank you!

[mwaskom]

You can’t mix filled and line markers, just like the error message says.

[jenfly]

Yes, I did read the error message. I was hoping to gain some insight on the inconsistent behaviour between lmplot() and scatterplot(), since lmplot() allows filled and line markers to be mixed, whereas scatterplot() apparently does not. It would have been nice if I could make the same scatter plot with either function, but no big deal. Thanks.