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 sqlite3import csv, codecs, cStringIOclass 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) |
希望本文所述对大家Python程序设计有所帮助。
