python3將excel表格導入mongodb/mysql數據庫

話不多說，直接上代碼

1.mongodb:

import xlrd
import json
from pymongo import MongoClient

def dump_excel(file):
    # 連接數據庫
    client = MongoClient('localhost',27017)
    db = client.scrapy
    account = db.user
    data = xlrd.open_workbook(file)
    table = data.sheets()[0]
    # 讀取excel第一行數據作爲存入mongodb的字段名
    rowstag = table.row_values(0)
    nrows = table.nrows
    returnData = {}
    for i in range(1,nrows):
        # 將字段名和excel數據存儲爲字典形式，並轉換爲json格式
        returnData[i] = json.dumps(dict(zip(rowstag,table.row_values(i))))
        # 通過編碼還原數據
        returnData[i] = json.loads(returnData[i])
        account.insert(returnData[i])
    return returnData

if __name__ == '__main__':
    dump_excel('test.xls')

 

2.mysql:

import xlrd
import pymysql

def dump_excel(cur,file):
    query = """INSERT INTO user(u_id,name,address,sex) values(%s,%s,%s,%s)"""
    data = xlrd.open_workbook(file)
    sheets = data.sheet_names()
    datasheet = data.sheet_by_name(sheets[0])
    nrows = datasheet.nrows
    ncols = datasheet.ncols
    for i in range(1,nrows):
        # row = datasheet.row(i)
        # print(row)
        sqlstr = []
        for j in range(0,ncols):
            sqlstr.append(datasheet.cell_value(i,j))
        valuestr = [int(sqlstr[0]), str(sqlstr[1]), str(sqlstr[2]), str(sqlstr[3])]
        cur.execute(query,valuestr)

def data_contnect():
    con = pymysql.connect(
        host='localhost', port=3306, user='root', password='root',  charset='utf8mb4'
    )
    cur = con.cursor()
    cur.execute("drop database if exists scrapy")
    cur.execute("create database scrapy")
    cur.execute("use scrapy")

    sql = """create table if not exists user(u_id INT (11),name VARCHAR (20),address VARCHAR (45),sex VARCHAR (2))"""
    cur.execute(sql)

    dump_excel(cur,'test.xls')

    cur.close()
    con.commit()
    con.close()

if __name__ == '__main__':
    data_contnect()