Climate data visualization toolkit with api access to matplotlib wrapper functions generate climate visualizations and a web based GUI interface to the api. Click here for a demo of the web application.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001018s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.101070s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001130s ]
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SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.000991s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003170s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.000932s ]
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SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.016710s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001246s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 269605 [ RunTime:0.024434s ]
