3D Scatter plot|Python|How to plot 3D Scatter/Line plot in Python? |For Beginners|
A 3D scatter plot is a graphical tool used to visualize and analyze data by plotting points in three-dimensional space. In Python, you can create a 3D scatter plot using the mplot3d package of the Matplotlib library.
To create a 3D scatter plot in Python, you will need a set of data with three variables. You can then use the scatter() function of the mplot3d package to plot the data points. The scatter() function takes three arguments: the x-coordinates, the y-coordinates, and the z-coordinates of the data points. You can also customize the appearance of the plot by specifying options such as the color and size of the data points, and by adding labels and titles to the plot.
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----------------------------------------------------PYTHON CODE IS HERE----------------------------------------------------------------------
import libraries
it will add interactive control
%matplotlib widget
from mpl_toolkits import mplot3d
import numpy as np
import matplotlib.pyplot as plt
now declare x,y and z data
x= np.linspace(1,100,100) # 100 data points equally spaced
y = np.cos(2*np.pi*x)
z= np.sin(2*np.pi*x)
ax=plt.axes(projection='3d')
plot scatter
ax.scatter3D(x,y,z,color='red',marker='*')
plt.title('3D scatter plot',fontsize=30,color='red',fontweight='bold')
ax.set_xlabel('x-data',fontsize=30,color='red',fontweight='bold',rotation=70)
ax.set_ylabel('y-data',fontsize=30,color='green',fontweight='bold',rotation=45)
ax.set_zlabel('z-data',fontsize=30,color='blue',fontweight='bold',rotation=60)
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