使用Python以MySQL格式打印结果
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 domainsFROM 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 mdbprint "%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。
回答:
采用 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 |
+-----------+------+------------+-----------------+
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