3D scatterplots in Python Matplotlib with hue colormap and legend

To plot 3D scatter plots in Python with hue colormap and legend, we can take the following steps−

Set the figure size and adjust the padding between and around the subplots
Create x, y and z data points using numpy.
Create a new figure or activate an existing figure using figure() method.
Get the current axes, creating one if necessary.
Get the hue colormap, defining a palette.
Plot x, y and z data points using scatter() method.
Place a legend on the plot.
To display the figure, use show() method.

Example

import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap

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

x = np.random.rand(100)
y = np.random.rand(100)
z = np.random.rand(100)

fig = plt.figure()
ax = fig.gca(projection='3d')
cmap = ListedColormap(sns.color_palette("husl", 256).as_hex())
sc = ax.scatter(x, y, z, s=40, c=x, marker='o', cmap=cmap, alpha=1)
plt.legend(*sc.legend_elements(), bbox_to_anchor=(1.05, 1), loc=2)

plt.show()

Output

Rishikesh Kumar Rishi

Updated on 05-Jun-2021 08:26:03

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