import pandas as pd import pymysql def connect_db(): MYSQL_HOSTS = '127.0.0.1' MYSQL_USER = 'root' MYSQL_PASSWORD = 'root' MYSQL_PORT = 3306 MYSQL_DB = 'xiaoshuo' conn = pymysql.connect( host=MYSQL_HOSTS, port=MYSQL_PORT, user=MYSQL_USER, passwd=MYSQL_PASSWORD, db=MYSQL_DB, charset="utf8") return conn def select_data(dict=False): conn = connect_db() sql = '''select * from dd_name''' cursor = conn.cursor() if not dict: sql = '''select xs_name,category,name_id,xs_author from dd_name''' else: cursor = conn.cursor(pymysql.cursors.DictCursor) cursor.execute(sql) data = cursor.fetchall() return data def save_as(data, columns): df = pd.DataFrame(data=list(data), index=range(len(data)), columns=columns) df.to_csv("output.csv") df.to_excel("output.xlsx") def modelOne(): data = select_data() columns = ["名称", "分类", "书号", "作者", ] save_as(data, columns) def modelTwo(): data = select_data(dict=True) columns = ["xs_name", "category", "name_id", "xs_author", ] save_as(data, columns) modelOne() # modelTwo()