View Discussion
Improve Article
Save Article
View Discussion
Improve Article
Save Article
A 3D Scatter Plot is a mathematical diagram, the most basic version of three-dimensional plotting used to display the properties of
data as three variables of a dataset using the cartesian coordinates.To create a 3D Scatter plot, Matplotlib’s mplot3d toolkit is used to enable three dimensional plotting.Generally 3D scatter plot is created by using ax.scatter3D[] the function of the matplotlib library which accepts a data sets of X, Y and Z to create the plot while the rest of the attributes of the function are the same as that of two dimensional scatter plot.
Example 1: Let’s create a
basic 3D scatter plot using the ax.scatter3D[] function.
Python3
from mpl_toolkits import mplot3d
import numpy as np
import matplotlib.pyplot as plt
z = np.random.randint[100, size =[50]]
x = np.random.randint[80, size =[50]]
y = np.random.randint[60, size =[50]]
fig = plt.figure[figsize =
[10, 7]]
ax = plt.axes[projection ="3d"]
ax.scatter3D[x, y, z, color = "green"]
plt.title["simple 3D scatter plot"]
plt.show[]
Output :
Example 2 : For better understanding Let’s take another example.
Python3
from mpl_toolkits import mplot3d
import numpy as np
import matplotlib.pyplot as plt
z = 4 * np.tan[np.random.randint[10, size =[500]]] + np.random.randint[100, size =[500]]
x = 4 * np.cos[z] + np.random.normal[size = 500]
y = 4 * np.sin[z] + 4 * np.random.normal[size = 500]
fig =
plt.figure[figsize = [16, 9]]
ax = plt.axes[projection ="3d"]
ax.grid[b = True, color ='grey',
linestyle ='-.', linewidth = 0.3,
alpha = 0.2]
my_cmap = plt.get_cmap['hsv']
sctt = ax.scatter3D[x, y, z,
alpha = 0.8,
c = [x +
y + z],
cmap = my_cmap,
marker ='^']
plt.title["simple 3D scatter plot"]
ax.set_xlabel['X-axis', fontweight ='bold']
ax.set_ylabel['Y-axis', fontweight ='bold']
ax.set_zlabel['Z-axis', fontweight ='bold']
fig.colorbar[sctt, ax = ax, shrink = 0.5, aspect = 5]
plt.show[]
Output :