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How to plot a jointplot with 'hue' parameter in Seaborn? (Matplotlib)
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()Output
Updated on: 16-Jun-2021
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