使用 Pandas 模块从文本文件将数据写入 Sql 表

Question

I was trying to read some data from a text file and write it down in a Sql server table using Pandas Module and FOR LOOP. Below is my code..

import pandas as pd
import pyodbc
driver = '{SQL Server Native Client 11.0}'
conn = pyodbc.connect(
    Trusted_Connection = 'Yes',
    Driver = driver,
    Server = '***********',
    Database = 'Sullins_Data'
    )

def createdata():
    cursor = conn.cursor()
    cursor.execute(
    'insert into Sullins_Datasheet(Part_Number,Web_Link) values(?,?);',
    (a,j))
    conn.commit()


a = pd.read_csv('check9.txt',header=None, names=['Part_Number','Web_Links'] ) # 2 Columns, 8 rows
b = pd.DataFrame(a)
p_no = (b['Part_Number'])
w_link  = (b['Web_Links'])
# print(p_no)
for i in p_no:
    a = i
    for l in w_link:
        j = l
    createdata()

As you can see from the code that I have created 2 variables a and j to hold the value of both the columns of the text file one by one and write it in the sql table. But after running the code I have got only the last row value in the table out of 8 rows. When I used createdate function inside w_link for loop, it write the duplicate value in the table. Please suggest where I am doing wrong.

Answer 1

here is sample of how your code is working

 a = 0
b = 0
ptr=['s','d','f','e']
pt=['a','b','c','d']
for i in ptr:
    a=i
    print(a,end='')
    for j in pt:
        b=j
        print(b,end='')