#370 3D Scatterplot

 

 

 

The mplot3D toolkit of Matplotlib allows to easily create 3D scatterplots. Note that most of the customisations presented in the Scatterplot section will work in 3D as well. The result can be a bit disappointing since each marker is represented as a dot, not as a sphere..

 

 

 

 

 


# libraries
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

# Dataset
df=pd.DataFrame({'X': range(1,101), 'Y': np.random.randn(100)*15+range(1,101), 'Z': (np.random.randn(100)*15+range(1,101))*2 })

# plot
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(df['X'], df['Y'], df['Z'], c='skyblue', s=60)
ax.view_init(30, 185)
plot.show()

 

Leave a Reply

Your email address will not be published.