与MySQL使用Python在控制台中打印结果一样,最简单的打印MySQL查询结果的方法是什么?例如,我想得到类似的东西:
+---------------------+-----------+---------+ | font | documents | domains | +---------------------+-----------+---------+ | arial | 99854 | 5741 | | georgia | 52388 | 1955 | | verdana | 43219 | 2388 | | helvetica neue | 22179 | 1019 | | helvetica | 16753 | 1036 | | lucida grande | 15431 | 641 | | tahoma | 10038 | 594 | | trebuchet ms | 8868 | 417 | | palatino | 5794 | 177 | | lucida sans unicode | 3525 | 116 | | sans-serif | 2947 | 216 | | times new roman | 2554 | 161 | | proxima-nova | 2076 | 36 | | droid sans | 1773 | 78 | | calibri | 1735 | 64 | | open sans | 1479 | 60 | | segoe ui | 1273 | 57 | +---------------------+-----------+---------+ 17 rows in set (19.43 sec)
注意:我不知道每列的最大宽度是先验的,但是我希望能够不重复两次就可以做到这一点。是否应为每列添加查询的length()?MySQL如何做到这一点,以免严重影响内存或处理时间?
编辑
我认为这与问题无关,但这是我发送的查询:
SELECT font.font as font,count(textfont.textid) as documents, count(DISTINCT td.domain) as domains FROM textfont RIGHT JOIN font ON textfont.fontid = font.fontid RIGHT JOIN ( SELECT text.text as text,url.domain as domain, text.textid as textid FROM text RIGHT JOIN url ON text.texturl = url.urlid) as td ON textfont.textid = td.textid WHERE textfont.fontpriority <= 0 AND textfont.textlen > 100 GROUP BY font.font HAVING documents >= 1000 AND domains >= 10 ORDER BY 2 DESC;
这是我使用的python代码:
import MySQLdb as mdb print "%s\t\t\t%s\t\t%s" % ("font","documents","domains") res = cur.execute(query , (font_priority,text_len,min_texts,min_domains)) for res in cur.fetchall(): print "%s\t\t\t%d\t\t%d" % (res[0],res[1],res[2])
但是此代码由于宽度不同而产生混乱的输出。
采用 prettytable
prettytable
x = PrettyTable(["City name", "Area", "Population", "Annual Rainfall"]) x.set_field_align("City name", "l") # Left align city names x.set_padding_width(1) # One space between column edges and contents (default) x.add_row(["Adelaide",1295, 1158259, 600.5]) x.add_row(["Brisbane",5905, 1857594, 1146.4]) x.add_row(["Darwin", 112, 120900, 1714.7]) x.add_row(["Hobart", 1357, 205556, 619.5]) x.add_row(["Sydney", 2058, 4336374, 1214.8]) x.add_row(["Melbourne", 1566, 3806092, 646.9]) x.add_row(["Perth", 5386, 1554769, 869.4]) print x +-----------+------+------------+-----------------+ | City name | Area | Population | Annual Rainfall | +-----------+------+------------+-----------------+ | Adelaide | 1295 | 1158259 | 600.5 | | Brisbane | 5905 | 1857594 | 1146.4 | | Darwin | 112 | 120900 | 1714.7 | | Hobart | 1357 | 205556 | 619.5 | | Sydney | 2058 | 4336374 | 1214.8 | | Melbourne | 1566 | 3806092 | 646.9 | | Perth | 5386 | 1554769 | 869.4 | +-----------+------+------------+-----------------+