如何在不删除以前数据的情况下写入现有的 excel 10000 次文件？

Question

我的代码适用于循环一个进程后将生成 100 行第二个进程将生成 160 行就这样一直持续到 10000 次和近 3 亿行。import pandasfrom openpyxl import load_workbookbook = load_workbook('Masterfile.xlsx')writer = pandas.ExcelWriter('Masterfile.xlsx', engine='openpyxl') writer.book = bookwriter.sheets = dict((ws.title, ws) for ws in book.worksheets)df.to_excel(writer, "Main", cols=['Diff1', 'Diff2'])writer.save()使用了这个，但数据没有保存它仍在覆盖我的表只有 3 列，所有输出列都相同。代码：a = "SELECT id FROM USER WHERE time >'2018-03-01'"dataa = pd.read_sql_query(a, con=engine)print(dataa)for userid in dataa:   x=f"SELECT idbody FROM col1 WHERE user_id='{userid}'"   data = pd.read_sql_query(x,con = engine)在这里，我需要将这 1000 个用户 ID 行附加到一个 Excel 文件中

Answer 1

您应该使用“追加”模式，该模式将追加数据，而不会覆盖。

import pandas

from openpyxl import load_workbook

book = load_workbook('Masterfile.xlsx')

with pandas.ExcelWriter('Masterfile.xlsx', engine='openpyxl', mode='a') as writer: 

    writer.book = book

    writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

    df.to_excel(writer, "Main", cols=['Diff1', 'Diff2'])

    writer.save()