python matplotlib 한글 깨짐

 

한글 ttf 파일을 다운받은 후 C:\Windows\Fonts 에 저장한 후, 설치!! 까지 완료해야한다..

 

그리고

 

font_manager.fontManager.ttflist # 설치된 폰트 리스트 확인

[FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable'),
 FontEntry(fname='C:\\anaconda\\envs\\forTensorflow\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable'),

 

폰트를 좀 더 이쁘게 보기 위해서는

 

# 폰트 리스트로 출력
import matplotlib.font_manager as fonm

font_list = [font.name for font in fonm.fontManager.ttflist]

for f in font_list:
    print(f'{f}.ttf')

cmsy10.ttf
STIXSizeFourSym.ttf
DejaVu Sans.ttf
cmex10.ttf
STIXNonUnicode.ttf
STIXSizeFourSym.ttf
cmmi10.ttf
DejaVu Sans Mono.ttf
DejaVu Serif.ttf
STIXNonUnicode.ttf
STIXSizeOneSym.ttf
DejaVu Serif.ttf
DejaVu Sans.ttf
cmtt10.ttf
cmss10.ttf
STIXSizeTwoSym.ttf
DejaVu Sans Mono.ttf
cmb10.ttf
DejaVu Sans Display.ttf
STIXSizeThreeSym.ttf
DejaVu Serif.ttf
STIXGeneral.ttf

 

음 나는 배달의민족 글씨체를 그래프에 적용해보고 싶어졌다.

 

적용을 해보자

# 폰트 적용
plt.rcParams['font.family'] = 'BMYEONSUNG_ttf.ttf'

 

그리고 matplotlib 의 스타일을 지정해줘야 한다.

 

# 스타일 코드
# 내용 참조 : 
#
# https://matplotlib.org/3.1.1/gallery/style_sheets/style_sheets_reference.html

plt.style.use('seaborn-colorblind')

import numpy as np

# # 한글 폰트 사용을 위해서 세팅 --------------------------------
from matplotlib import rc
font_path = "C:/Users/임정웅/AppData/Local/Microsoft/Windows/Fonts/BMYEONSUNG_ttf.ttf"
font = fm.FontProperties(fname = font_path).get_name()
rc('font', family = font) # 기본 폰트

plt.rc('font', size = 20) # 기본 폰트
plt.rc('figure', titlesize = 50) # figure title 폰트 크기
### -----------------------------------------------------
# 스타일 코드
plt.style.use('seaborn-pastel')

y_pos = np.arange(len(top_nouns))

figure = plt.figure(figsize = (15,15))

plt.barh(y_pos, top_nouns.values())
plt.title('Word Count')
plt.yticks(y_pos, top_nouns.keys())
plt.show()

성공했다.

 

오늘도 연습 또 연습중..