How to plot a jointplot with 'hue' parameter in Seaborn? (Matplotlib)

Matplotlib Python Data Visualization

Python Data Science basics with Numpy, Pandas and Matplotlib

Data Visualization using MatPlotLib & Seaborn

DATAhill Solutions Srinivas Reddy

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MatPlotLib with Python

DATAhill Solutions Srinivas Reddy

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To plot a jointplot with hue parameter in Seaborn, we can take the following steps −

Steps

Set the figure size and adjust the padding between and around the subplots.
Create x data points using numpy.
Make a dictionary with some curve data.
Make a dataframe for tabular data.
Make a jointplot using jointplot() method.
To display the figure, use show() method.

Example

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

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

x = np.linspace(0, 1, 5)

d = {
      'y=sin(x)': np.sin(x),
      'y=cos(x)': np.cos(x),
      'y=x': x,
   }
df = pd.DataFrame(d)
jg = sns.jointplot(data=df, x="y=sin(x)", y="y=cos(x)",
                     height=3.5, hue="y=x")
plt.show()