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Python data flow operations

May 16, 2018 pm 02:53 PM
pythonoperatedata flow

Python file or folder operations

shutilThis module provides many advanced multi-file and multi-file collection operations, especially support for file copying and deletion. function.
1. Folder and file operations

import shutil 
shutil.copyfile(src, dst)   
 复制文件src的内容到文件dst,dst必须是完整的目标文件名,如果dst已经存在,它将会被替换 
shutil.copy(src, dst)   
 复制文件src到文件或文件夹dst。如果dst是一个文件夹,与src相同名字的文件在dst下被创建或重写。 
shutil.copytree(src, dst, symlinks=False, ignore=None) 
 递归的复制src下的整个目录到文件夹dst,dst不能是已经存在的,如果不存在,它将会被创建。 
shutil.rmtree(path) 
 删除path整个目录树内容 
os.rmdir(path)、 
 删除文件夹path,path必须是空文件夹,否则报OSError错误 
shutil.move(src, dst) 
 递归的移动src到另一个位置dst,src可以是一个文件或一个文件夹

2, traverse each file under the folder

import osnames = os.listdir(src)for name in names:
    srcname = os.path.join(src, name)
    fo = open(srcname, 'r')    for line in fo:        print line

3, determine whether the folder exists, create it if it does not exist

if not os.path.exists(FILE_PATH):        os.makedirs(FILE_PATH)

Python connection to MySQL and basic operations

def get_conn():
    import MySQLdb    try:
        conn=MySQLdb.connect(host=HOST,user=USER,passwd=PASSWORD, port=PORT, db=DBNAME, charset=CHARSET)        return conn    except MySQLdb.Error,e:        print "Mysql Error %d: %s" % (e.args[0], e.args[1])# 插入操作def insert_one(cur,sql,value):
    res =  cur.execute(sql ,value)    # 插入成功,res 返回值为1
    if  1 != res :        print 'failed'
    else:        print 'success'def insert_many(cur,sql,values):
    res =  cur.executemany(sql ,values)    # 插入成功,res 返回值为1
    if  1 != res :        print 'failed'
    else:        print 'success'getRC = lambda cur: cur.rowcount if hasattr(cur,'rowcount')  else -1# 更新操作def update(cur,sql):
    cur.execute(sql)    return getRC(cur)# 删除操作def delete(cur,sql):
    cur.execute(sql)    return getRC(cur)# 只获取一条记录,返回的是一个元组def fetch_one(cur,sql):
    count = cur.execute(sql)
    result = cur.fetchone()    return result# 获取多条数据;返回的是二维元组def fetch_all(cur,sql):
    count = cur.execute(sql)
    results = cur.fetchall()    return results# 提交的完成操作def finish(conn):
    conn.commit()
    conn.close()

Python file or folder operations

shutilThis module provides many advanced multi-file and multi-file collection operations. In particular, functions that support file copying and deletion are provided.
1. Folder and file operations

import shutil 
shutil.copyfile(src, dst)   
 复制文件src的内容到文件dst,dst必须是完整的目标文件名,如果dst已经存在,它将会被替换 
shutil.copy(src, dst)   
 复制文件src到文件或文件夹dst。如果dst是一个文件夹,与src相同名字的文件在dst下被创建或重写。 
shutil.copytree(src, dst, symlinks=False, ignore=None) 
 递归的复制src下的整个目录到文件夹dst,dst不能是已经存在的,如果不存在,它将会被创建。 
shutil.rmtree(path) 
 删除path整个目录树内容 
os.rmdir(path)、 
 删除文件夹path,path必须是空文件夹,否则报OSError错误 
shutil.move(src, dst) 
 递归的移动src到另一个位置dst,src可以是一个文件或一个文件夹

2, traverse each file under the folder

import osnames = os.listdir(src)for name in names:
    srcname = os.path.join(src, name)
    fo = open(srcname, 'r')    for line in fo:        print line

3, determine whether the folder exists, create it if it does not exist

if not os.path.exists(FILE_PATH):        os.makedirs(FILE_PATH)

Python connection to MySQL and basic operations

def get_conn():
    import MySQLdb    try:
        conn=MySQLdb.connect(host=HOST,user=USER,passwd=PASSWORD, port=PORT, db=DBNAME, charset=CHARSET)        
        return conn    except MySQLdb.Error,e:        
        print "Mysql Error %d: %s" % (e.args[0], e.args[1])# 插入操作def insert_one(cur,sql,value):
    res =  cur.execute(sql ,value)    # 插入成功,res 返回值为1
    if  1 != res :        print 'failed'
    else:        print 'success'def insert_many(cur,sql,values):
    res =  cur.executemany(sql ,values)    # 插入成功,res 返回值为1
    if  1 != res :        print 'failed'
    else:        print 'success'getRC = lambda cur: cur.rowcount if hasattr(cur,'rowcount')  
    else -1# 更新操作def update(cur,sql):
    cur.execute(sql)    return getRC(cur)# 删除操作def delete(cur,sql):
    cur.execute(sql)    return getRC(cur)# 只获取一条记录,返回的是一个元组def fetch_one(cur,sql):
    count = cur.execute(sql)
    result = cur.fetchone()    return result# 获取多条数据;返回的是二维元组def fetch_all(cur,sql):
    count = cur.execute(sql)
    results = cur.fetchall()    return results# 提交的完成操作def finish(conn):
    conn.commit()
    conn.close()

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