python实现生成多种文件格式:excel、csv、pdf

import data_util, time_util
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPagesif __name__ == '__main__':data = data_util.get_superset_data()df = ''if (len(data) > 0):# 应用函数转换时间戳for entry in data:entry['日程开始时间'] = time_util.convert_to_pst(entry['日程开始时间'])entry['日程结束时间'] = time_util.convert_to_pst(entry['日程结束时间'])if isinstance(data, dict):if data:df = pd.DataFrame.from_records([data])else:print("Data is an empty dictionary")df = pd.DataFrame()elif isinstance(data, list):dfs = [pd.DataFrame.from_records([item]) for item in data if isinstance(item, dict)]df = pd.concat(dfs, ignore_index=True)else:print("Data is not a list or a dictionary")df = pd.DataFrame()# df.to_excel('media.xlsx', index=False)# df.to_csv('media.csv', index=False)# PDF文件格式plt.rcParams['font.sans-serif'] = ['SimHei']plt.rcParams['axes.unicode_minus'] = False#print(df)# 创建一个PDF文件with PdfPages('media.pdf') as pdf:# 将DataFrame绘制成表格fig, ax = plt.subplots(figsize=(8.27, 11.69), dpi=400)  # 设置dpi为300，提高图像质量ax.axis('tight')ax.axis('off')ax.table(cellText=df.values, colLabels=df.columns, loc='top', cellLoc='center')pdf.savefig(dpi=400)  # 将当前图形保存到PDF，并设置dpiplt.close()print("PDF文件已生成")