本文实例讲述了Python实现将SQLite中的数据直接输出为CVS的方法。分享给大家供大家参考,具体如下:
对于SQLite来说,目前查看还是比较麻烦,所以就像把SQLite中的数据直接转成Excel中能查看的数据,这样也好在Excel中做进一步分数据处理或分析,如前面文章中介绍的《使用Python程序抓取新浪在国内的所有IP》。从网上找到了一个将SQLite转成CVS的方法,贴在这里,供需要的朋友使用:
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import sqlite3
import csv, codecs, cStringIO
class UnicodeWriter:
"""
A CSV writer which will write rows to CSV file "f",
which is encoded in the given encoding.
"""
def __init__( self , f, dialect = csv.excel, encoding = "utf-8" , * * kwds):
# Redirect output to a queue
self .queue = cStringIO.StringIO()
self .writer = csv.writer( self .queue, dialect = dialect, * * kwds)
self .stream = f
self .encoder = codecs.getincrementalencoder(encoding)()
def writerow( self , row):
self .writer.writerow([ unicode (s).encode( "utf-8" ) for s in row])
# Fetch UTF-8 output from the queue ...
data = self .queue.getvalue()
data = data.decode( "utf-8" )
# ... and reencode it into the target encoding
data = self .encoder.encode(data)
# write to the target stream
self .stream.write(data)
# empty queue
self .queue.truncate( 0 )
def writerows( self , rows):
for row in rows:
self .writerow(row)
conn = sqlite3.connect( 'ipaddress.sqlite3.db' )
c = conn.cursor()
c.execute( 'select * from ipdata' )
writer = UnicodeWriter( open ( "export_data.csv" , "wb" ))
writer.writerows(c)
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希望本文所述对大家Python程序设计有所帮助。