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 #

• 0.236 Kubeflow
• 0.132 Text-to-image model
• 0.108 Deep learning
• 0.083 Machine learning for Genomics
• 0.046 Naive Bayes classifier
• 0.037 Feature extraction
• 0.028 DVC
• 0.023 Hyungyong Kim
• 0.022 Programming language
• 0.021 Time series
• More suggestions...