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import pandas as pd
import matplotlib.pyplot as plt
# from ydata_profiling import ProfileReport
# from streamlit_pandas_profiling import st_profile_report
import matplotlib as mpl
import seaborn as sns
'''手动添加中文字库，甚至可以在seaborn图中显示中文。'''
# # from matplotlib.font_manager import FontProperties
# from matplotlib import font_manager
# myfont = font_manager.FontProperties(fname=r"./SimHei.ttf", size=12)
# # print('myfont:', myfont)
# mpl.rcParams['font.sans-serif'] = [f'{myfont}']
# ###NOTE: 在plt中是working的，但是在sns中不working。
# # plt.hist(df['话务量'], bins=20)
# plt.title(label="中文图表", fontproperties=myfont) #! working.
# plt.xlabel('话务量', fontproperties=myfont) #! working.
# # plt.xlabel('话务量', fontproperties=myfont)
# sns.set(rc={'axes.facecolor':'#FFF9ED','figure.facecolor':'#FFF9ED'}, palette='dark')
# # sns.set(rc={'axes.facecolor':'#FFF9ED','figure.facecolor':'#FFF9ED'}, palette='dark', font=myfont)
# # sns.set(font=myfont)
# sns.histplot(df['话务量'], bins=20)
# plt.show()
## 查看当前字体所在的文件夹。
# import matplotlib.font_manager as fm
# font_path = fm.findfont("Arial")
# print(font_path)
## 将字体文件复制到matplotlib的字体文件夹中。参考： https://stackoverflow.com/questions/40290004/how-can-i-configure-matplotlib-to-be-able-to-read-fonts-from-a-local-path
##NOTE: /usr/bin/env python3
# Imports
import os
import re
import shutil
from glob import glob
from matplotlib import matplotlib_fname
from matplotlib import get_cachedir
#! 运行前端程序前，先将中文字库装载到matplotlib中。
dir_source = '/Users/yunshi/Downloads/chatGLM/ChatGLM code_interpreter' ## 中文字体所在的文件夹。
# dir_source = '<your-font-directory-here>'
dir_data = os.path.dirname(matplotlib_fname())
dir_dest = os.path.join(dir_data, 'fonts', 'ttf')
print(f'Transfering .ttf and .otf files from {dir_source} to {dir_dest}.')
for file in glob(os.path.join(dir_source, '*.[ot]tf')):
if not os.path.exists(os.path.join(dir_dest, os.path.basename(file))):
print(f'Adding font "{os.path.basename(file)}".')
shutil.copy(file, dir_dest)
# Delete cache
dir_cache = get_cachedir()
for file in glob(os.path.join(dir_cache, '*.cache')) + glob(os.path.join(dir_cache, 'font*')):
if not os.path.isdir(file): # don't dump the tex.cache folder... because dunno why
os.remove(file)
print(f'Deleted font cache {file}.')
## 测试是否可以调用中文字体。
# df = pd.read_csv('/Users/yunshi/Downloads/360Data/Data Center/Working-On Task/演讲与培训/2023ChatGPT/Coding/code_interpreter/rawdata/模拟数据 copy.csv')
# # from matplotlib.font_manager import FontProperties
# from matplotlib import font_manager
# # myfont = font_manager.FontProperties(fname="./YaHei.ttf", size=12)
# # print('myfont:', myfont)
# mpl.rcParams['font.sans-serif'] = ['Microsoft YaHei UI'] #! working. 注意这个名字，不是简单的YaHei。
# plt.hist(df['话务量'], bins=20)
# plt.title(label="中文图表")
# # plt.title(label="中文图表", fontproperties=myfont)
# plt.show() |