Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to surface plot/3D plot from a dataframe (Matplotlib)?
To surface plot/3d, we would require 2D data points, not 1D dataframe.
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a new figure or activate an existing figure using figure() method.
Add an '~.axes.Axes' to the figure as part of a subplot arrangement using add_subplot() method.
Initialize a variable 'n' for the number of samples.
Create x, y and z data points using numpy.
Use plot_surface() method to make surface 3d.
To display the figure, use show() method.
Example
import numpy as np
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
n = 50
x = np.random.rand(n)
y = np.tan(x)
z = np.random.rand(n, n)
surf = ax.plot_surface(y, x, z, rstride=1, cstride=1, cmap='copper',linewidth=0, antialiased=False)
ax.axis('off')
plt.show()Output
Updated on: 03-Jun-2021
2K+ Views
Advertisements