Hướng dẫn 3d scatter plot python

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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 :