
        
        
            
                
                
                    import pandas as pd
import seaborn as sns

df = pd.DataFrame({
    "Group":["A","A","B","B","A"],
    "Height":[120,150,180,140,160],
    "Weight":[50,60,70,80,70]
})

df.head()
                
            
                Group  Height  Weight
0     A     120      50
1     A     150      60
2     B     180      70
3     B     140      80
4     A     160      70

Drawing a scatterplot with Seaborn

To draw a scatterplot of Height vs Weight with Group as the category:


        
        
            
                
                
                    ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group")

This gives us the following plot:

Changing point markers

To vary the markers as well, use the style argument:


        
        
            
                
                
                    ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group", style="Group")

This gives us the following plot:

Notice how group B is marked by a cross now instead of a point.

Drawing different coloured points

To change the color of different categories, set the pallete argument:


        
        
            
                
                
                    ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group", style="Group", palette="Set2")