The example code below uses the style parameter to differentiate between night time data vs date time data. Using the style parameter to distinguish the data: The marker style in the scatter plot can be used to further distinguish the data points. Code Change: sns.scatterplot(x="temperature", y="rainfall", data=df, hue="rainfall") In the above example Python code, changing of the scatterplot() function invocation with the hue parameter makes the scatterplot to appear as below. The color of the scatter plot markers can be used to distinguish subsets of the data using Sns.scatterplot(x="temperature", y="rainfall", data=df) # using the seaborn visualization library # Example Python program that plots a scatter plot The scatterplot() function from seaborn has parameters to distinguish datapoints using color(hue semantics), style and the size of the markers.Įxample: A basic scatter plot using seaborn.A basic scatter plot can be drawn using the scatter() function of the matplotlib library as well.
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