Pandas是一个基于NumPy的Python数据分析库,可以从各种文件格式如CSV、JSON、SQL、Excel等导入数据,并支持多种数据运算操作,如归并、再成形、选择等。
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip install pandas
视图:
from django.shortcuts import render from django.http import HttpResponse from antproject.settings import BASE_DIR import pandas as pd # Create your views here. def hello(request): return HttpResponse("this is hello/") def show_excel(request): df=pd.read_excel(BASE_DIR / "data/score.xlsx") cont=""" 学号 姓名 语文 数学 英语 """ for idx, row in df.iterrows(): cont += f""" {row.学号} {row.姓名} {row.语文} {row.数学} {row.英语} """ cont += """
""" return HttpResponse("this is score" + cont)
from django.contrib import admin from django.urls import path from antapp import views urlpatterns = [ path("hello/", views.hello), path("show_excel/",views.show_excel), ]
pip install openpyxl
以下是excel原文件