I am trying to output a complex facet grid plot in the format of the following image:

enter image description here

But the problem is that I don't want the edge color of the markers to be white, I want it to be the face color.

In matplotlib, I can change the color of marker edges by calling the following:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df = pd.DataFrame({"values_x": np.random.randn(100), "values_y": np.random.randn(100)})

plt.scatter(x=df["values_x"], y=df["values_y"], edgecolors="red")

This produces a plot that looks like:

enter image description here

Now, if I call the following:

sns.relplot(data=df, x="values_x", y="values_y", edgecolors="red")

I still get white marker edges like in the following:

enter image description here

So, how do I correctly change the color of the marker edges within a call to sns.relplot()?

*For reference, I create the top facet grid plot with the following:

  • $\begingroup$ Remove $edgecolors="red"$ and it will give you the desired plot. $\endgroup$ Aug 7, 2019 at 20:07
  • $\begingroup$ If I remove that I still get white edges around the markers. I want the edges to be whatever color I choose them to be. I actually figured out the problem and will update the question. $\endgroup$ Aug 7, 2019 at 20:20
  • $\begingroup$ That's weird. I didn't get that white marks. $\endgroup$ Aug 8, 2019 at 1:07

1 Answer 1


The issue was with the parameter I was using. The parameter "edgecolors" is incorrect. The correct parameter is the non-plural "edgecolor". So the correct call to relplot is:

sns.relplot(data=df, x="values_x", y="values_y", edgecolor=None)

This would remove the marker edges completely, which is what I was trying to do originally.


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