使用python将Sqlite中的数据直接输出为CVS
June 8, 2015
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,如上篇文章中介绍的 IP抓取的IP数据
。从网上找到了一个将SQLite转成CVS的方法,贴在博客里,供需要的朋友使用:
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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