In seaborn, the hue parameter represents which column in the data frame, you want to use for color encoding. The example shown here is from the official document for lmplot:
import seaborn as sns; sns.set(color_codes=True)
tips = sns.load_dataset("tips")
g = sns.lmplot(x="total_bill", y="tip", data=tips)
Adding `hue="smoker" represent that you want to use “smoker” for color encoding i.e. color the data points for smoker and non-smoker differently.
g = sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips)
To learn data visualization using Python, you can check out this Python Course by Intellipaat.
Also, you can watch this video on Python using Seaborn to know more:
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