pandas 读取本地csv文件，处理，保存

from sqlalchemy import create_engine
import pandas as pd
from pandas import DataFrame, Series
engine = create_engine(“mysql+pymysql://root:password@ip:3306/tables”,
encoding=‘utf8’, echo=True)

解析csv文件中， name这一列，就数据中的\d+．替换

def excel_to_mysql():

    excel = pd.read_csv("tea.csv")
    mm_list = []
    for m in excel['name'].dropna():
        mm = re.sub(r"\d+．","" ,m)
        mm_list.append(mm)
    excel['name'] = pd.Series(mm_list)
    print(excel)
    excel.to_csv('a.csv')
    # excel.to_sql(name='tabalename',con=engine, if_exists='append',index=False)

同样功能优化如下

def excel_to_mysql():

    excel = pd.read_csv("tea.csv")
	excel['name'] = excel.name.apply(lambda ele: re.sub(r"\d+．", "", ele))
	print(excel)
    excel.to_csv('a.csv')