Numerical Computing with Python

3D scatter plot

In Chapter 6, Hello Plotting World!, we have already explored scatter plots in two dimensions. In this section, let's try to create a 3D scatter plot. Before doing that, we need some data points in three dimensions (x, y, z):

import pandas as pdsource = "https://raw.githubusercontent.com/PointCloudLibrary/data/master/tutorials/ism_train_cat.pcd"cat_df = pd.read_csv(source, skiprows=11, delimiter=" ", names=["x","y","z"], encoding='latin_1') cat_df.head()

Point	x	y	z
0	-17.034178	18.972282	40.482403
1	-16.881481	21.815451	44.156799
2	-16.749582	18.154911	34.131474
3	-16.876919	20.598286	36.271809
4	-16.849340	17.403711	42.993984

To declare a 3D plot, we first need to import the Axes3D object from the mplot3d ...