Plt.savefig("Scatterplot_seaborn_no_edgecolor.png", Note that the value of argument is “none” not “None”. When we specify, edgecolor=”none”, we remove edge color. We can change the default white color of edge markers or data points using argument “edgecolor”.
Color scatter plot python seaborn how to#
Seaborn Scatterplot with default white edgecolor How to Remove default white edgecolor in Seaborn’s scatterplot? Plt.ylabel("Culmen Length (mm)", fontweight ='bold',size=14) Plt.xlabel("Flipper Length (mm)",fontweight ='bold', size=14) Here we color the points by a variable and also use another variable to change the size of the markers or points.īy default, Seaborn’s scatterplot colors the outer line or edge of the data points in white color. Let us make a scatter plot with Seaborn’s scatterplot function. Seaborn’s scatterplot with default white edgecolor Finally, we will learn how to use kwargs (key word arguments) to pass multiple arguments to customize Seaborn plot.ĭf = pd.read_csv(penguins_data, sep="\t") And then we will also see how to change the thickness of the edge color line.
First, we will see how to remove the white edge color and then see how to color the edge with a specific color of interest. In this post, we will see how to change the default edge color. By default, Seaborn’s scatter plot function colors the markers edge color to be white. In this post we will learn how to customize edge color of a scatter plot made with Seaborn. Seaborn’s scatterplot function allows us to make compelling scatter plots easily.
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