plt.style.use() - matplotlib 테마 바꾸기

print(plt.style.available)

['Solarize_Light2', '_classic_test_patch', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']

 

변경 가능한 스타일이 나온다.

plt.style.use("스타일시트")로 테마를 변경할 수 있다.

 

몇가지만 시각화 해보자!

 

1. barplot (default)

import pandas as pd 
import random 
series = pd.Series(random.sample(range(1, 100), 5), 
                                 index = list('abcde')) 
plt.style.use("default") 
plt.bar(series.index, series.values)

 

2. Solarize_Light2

 

3. bmh

4. classic

5. dark_background

6. fivethirtyeight

7. ggplot

 

8. seaborn