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add_fonts.py

@@ -0,0 +1,72 @@
+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()

requirements.txt

@@ -22,4 +22,3 @@ streamlit_authenticator==0.2.3
 streamlit_pandas_profiling==0.1.3
 tqdm==4.66.2
 xlrd==2.0.1
-ydata_profiling==4.6.4