如何通过python将数据存储在MySQL数据库中

Question

这是我目前编写的脚本。我发现的第一个障碍是我无法安装 MySQLdb 包 - 也许我可以使用不同的模块？

import soundcloud
import pandas as pd 
from pandas import DataFrame
import MySQLdb
client = 
soundcloud.Client(client_id='696b5ca70f5401cc46c9011c78831877')
userId = '110652450'
tracks = client.get('/users/'+userId+'/tracks')
data = []
for x in tracks:
    data.append({'Track_Name':x.title,'plays':str(x.playback_count)}) 

df = pd.DataFrame(data)

database = MySQLdb.connect (host="127.0.0.1",user ="root",passwd="XXX",db="soundcloudstore")
cursor = database.cursor()
query = """INSERT INTO Tracks (Track_Name, Plays) VALUES (%s,%s)"""

for x in df:
    Track_Name = df[['Track_Name']].value 
    Plays = df[['plays']].value 

    values = (Track_Name, Plays)
    cursor.execute(query, values)

cursor.close() 

database.commit()

database.close()

Answer 1

在此处下载适配器：https://dev.mysql.com/doc/connector-python/en/connector-python-installation.html

那么你会这样使用它：

import mysql.connector

data = []
for x in tracks:
    data.append((x.title, str(x.playback_count))) 

conn = mysql.connector.connect(user='', password='',
                              host='',
                              database='')

cursor = conn.cursor()

q = """INSERT INTO Tracks (Track_Name, Plays) VALUES (%s,%s)"""

cursor.executemany(q, data)

这将使您免于无缘无故加载到数据帧中，并且executemany 已针对插入进行了优化。