python - 使用 sqlalchemy 将 CSV 导入数据库

Question

我正在使用 this将 csv 文件上传到 sqlite 数据库的示例:

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，但其他所有数据都为 NULL。

更新的正确代码(使用 Pandas 数据框):

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
import csv
import pandas as pd


#def Load_Data(file_name):
    #data = csv.reader(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)

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')

Answer 1

您熟悉 Pandas Dataframe 吗？

非常易于使用(和调试)

pandas.read_csv(file_name)

In [5]: pandas.read_csv('/tmp/csvt.csv')
Out[5]: 
           Name Shack     DB  Payments         Status
0  Loyiso Dwala  I156  13542        37  LightsOnly ON
1  Attwell Fayo  I157  13077        32       LightsON
2  David Mbhele   G25  13155        33       LightsON

要将 DataFrames 数据插入表中，您可以简单地使用 pandas.DataFrame.to_sql

所以你的主要代码最终会看起来像这样:

engine = create_engine('sqlite:///cdb.db')
Base.metadata.create_all(engine)

file_name = 'client_db.csv'
df = pandas.read_csv(file_name)
df.to_sql(con=engine, index_label='id', name=cdb1.__tablename__, if_exists='replace')

您应该在我添加的文档链接中进一步阅读，并根据您的目的设置函数参数(特别查看 - if_exists、index、index_label、dtype)