pandas将多个dataframe以多个sheet的形式保存到一个excel文件中
人气:0要实现这个功能，可能有多种方法，我在这里记录下一个比较方便的方法：
import pandas as pd
writer = pd.ExcelWriter('test.xlsx')
data1.to_excel(writer,sheet_name='sheet1')
data2.to_excel(writer,sheet_name='sheet2')
writer.save()
上面的方法会将原来的excel文件覆盖掉，假如想要对已经存在的excel文件进行修改，可以使用开源工具包（anaconda已附带）openpyxl
import pandas as pd
from openpyxl import load_workbook
writer = pd.ExcelWriter('test.xlsx',engin='openpyxl')
book = load_workbook(writer.path)
writer.book = book
dataframe.to_excel(excel_writer=writer,sheet_name="info5")
writer.save()
writer.close()
DataFrame.to_excel多次写入不同Sheet
主要需要pd.ExcelWriter([文件路径])方法
参考官方文档：
>>> writer = pd.ExcelWriter('output.xlsx')
>>> df1.to_excel(writer,'Sheet1')
>>> df2.to_excel(writer,'Sheet2')
>>> writer.save()
以下为实际应用：
""" df1,df2均为sql查询来的数据 excel_filepath为要生成保存的excel文件地址 """ write = pd.ExcelWriter(excel_filepath) df1 = pd.DataFrame(d_f1) excel_header = ['日期','年龄']#excel的标题 df1.to_excel(write,sheet_name='Sheet1',header=excel_header,index=False) df2 = pd.DataFrame(d_f2) excel_header = ['日期','人数'] df2.to_excel(write,sheet_name='Sheet2',header=excel_header,index=False) write.save()
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