SiLaure's Data
[Seaborn] 01. Seaborn이란 본문
- Seborn Library
: 데이터를 정제, 분석 후 matplotlib을 기본으로 다양한 시각화 기법을 제공하는 라이브러리.
- 특징
- Python에 내장된 Matplot Library보다 Powerful 하다.
- 예쁘다.
- 정보를 쉽게 이해할 수 있도록 시각화 처리를 할 수 있다.
- pandas DataFrame과 매우 호환이 잘 된다.
- 기본 세팅
e.g. sns.xxxplot(data=df)
- 공식 홈페이지에서 볼 만한 페이지
http://seaborn.pydata.org/introduction.html
An introduction to seaborn — seaborn 0.11.1 documentation
Seaborn is a library for making statistical graphics in Python. It builds on top of matplotlib and integrates closely with pandas data structures. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays c
seaborn.pydata.org
http://seaborn.pydata.org/examples/index.html
Example gallery — seaborn 0.11.1 documentation
seaborn.pydata.org
- Boxplot
http://seaborn.pydata.org/examples/grouped_boxplot.html
Grouped boxplots — seaborn 0.11.1 documentation
Grouped boxplots seaborn components used: set_theme(), load_dataset(), boxplot(), despine() import seaborn as sns sns.set_theme(style="ticks", palette="pastel") # Load the example tips dataset tips = sns.load_dataset("tips") # Draw a nested boxplot to show
seaborn.pydata.org
- Heatmap
http://seaborn.pydata.org/examples/many_pairwise_correlations.html
Plotting a diagonal correlation matrix — seaborn 0.11.1 documentation
Plotting a diagonal correlation matrix seaborn components used: set_theme(), diverging_palette(), heatmap() from string import ascii_letters import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt sns.set_theme(style="w
seaborn.pydata.org
- Pairplot
http://seaborn.pydata.org/examples/scatterplot_matrix.html
Scatterplot Matrix — seaborn 0.11.1 documentation
Scatterplot Matrix seaborn components used: set_theme(), load_dataset(), pairplot() import seaborn as sns sns.set_theme(style="ticks") df = sns.load_dataset("penguins") sns.pairplot(df, hue="species")
seaborn.pydata.org
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