Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell, the Jupyter notebook, web application servers, and four graphical user interface toolkits.

Types of plotting interfaces

1. State-based (aka MATLAB-based): axes 대신 figure 초점
2. Object oriented based: axes 위주 - 세밀한 제어를 위해서는 이 방식으로 해야 함

관련 프로젝트

• matplotlib 공식 cheatsheets

사용 방식 #

State-based (MATLAB 유사) #

#!python
import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 1, 50)
y = np.cos(4*np.pi*x)
plt.plot(x, y)
plt.show()

Object-based #

#!python

fig = plt.figure()
ax = fig.subplots()   # 위 두줄은 fig, ax = plt.subplots()
ax.plot(x, y)

관련정보 #

• Animations with Matplotlib 2019-04-14: 앞으로 Data visualization은 animation으로!
• Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples
• Introduction to Matplotlib — Data Visualization in Python
• Effectively Using Matplotlib 2017-04-25
• Matplotlib tutorial: Plotting tweets mentioning Trump, Clinton & Sanders 2016-05-12

Incoming Links #

Related Articles (Article 0) #

• Data science
• Data visualization
• Machine learning

Related Codes (Code 1) #

• Lifelines
• Seaborn

Suggested Pages #

• 0.119 DVC
• 0.059 Artificial neural network
• 0.054 Decision tree
• 0.054 Naive Bayes classifier
• 0.045 scRNA-seq
• 0.041 Circa
• 0.033 ngs.plot
• 0.032 Reinforcement learning
• 0.031 Time series
• 0.028 Linear discriminant analysis
• More suggestions...