这是我的代码：

from numpy import genfromtxt
from time import time
from datetime import datetime
from sqlalchemy import Column,Integer,Float,Date,String,VARCHAR
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

def Load_Data(file_name):
    data = genfromtxt(file_name,delimiter=',')# skiprows=1,converters={0: lambda s: str(s)})
    return data.tolist()

Base = declarative_base()

class cdb1(Base):
    #Tell sqlAlchemy what the table name is and if there's any table-specific arguments it should know about
    __tablename__ = 'cdb1'
    __table_args__ = {'sqlite_autoincrement': True}
    #tell sqlAlchemy the name of column and its attributes:
    id = Column(Integer,primary_key=True,nullable=False) 
    name = Column(VARCHAR(40))
    shack = Column(VARCHAR)
    db = Column(Integer)
    payments = Column(Integer)
    status = Column(VARCHAR)


if __name__ == "__main__":
    t = time()
    print 'creating database'

    #Create the database
    engine = create_engine('sqlite:///cdb.db')
    Base.Metadata.create_all(engine)

    #Create the session
    session = sessionmaker()
    session.configure(bind=engine)
    s = session()

    try:
        file_name = 'client_db.csv'
        data = Load_Data(file_name)

        for i in data:
            record = cdb1(**{
                'name' : i[0],'shack' : i[1],'db' : i[2],'payments' : i[3],'status' : i[4]
            })
            s.add(record) #Add all the records

        s.commit() #Attempt to commit all the records
    except:
        s.rollback() #Rollback the changes on error
        print 'error in reading'
    finally:
        s.close() #Close the connection
    print "Time elapsed: " + str(time() - t) + " s." #0.091s

这是csv文件的前几行：

Name,Shack,DB,Payments,Status
Loyiso Dwala,I156,13542,37,LightsOnly ON
Attwell Fayo,I157,13077,32,LightsON
David Mbhele,G25,13155,33,LightsON

数据库创建正常,但只有部分数据被捕获到属性中：’payments’和’db’列被正确填充,但其他所有数据都是NULL.

更新的正确代码(使用pandas数据帧)：

from numpy import genfromtxt
from time import time
from datetime import datetime
from sqlalchemy import Column,VARCHAR
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import csv
import pandas as pd


#def Load_Data(file_name):
    #data = csv.reader(file_name,converters={0: lambda s: str(s)})
    #return data.tolist()

Base = declarative_base()

class cdb1(Base):
    #Tell sqlAlchemy what the table name is and if there's any table-specific arguments it should know about
    __tablename__ = 'cdb1'
    __table_args__ = {'sqlite_autoincrement': True}
    #tell sqlAlchemy the name of column and its attributes:
    id = Column(Integer,nullable=False) 
    Name = Column(VARCHAR(40))
    Shack = Column(VARCHAR)
    DB = Column(Integer)
    Payments = Column(Integer)
    Status = Column(VARCHAR)

engine = create_engine('sqlite:///cdb.db')
Base.Metadata.create_all(engine)
file_name = 'client_db.csv'
df = pd.read_csv(file_name)
df.to_sql(con=engine,index_label='id',name=cdb1.__tablename__,if_exists='replace')