Working with INTERVAL and CURDATE in MySQL
You need DATE_ADD/DATE_SUB: AND v.date > (DATE_SUB(CURDATE(), INTERVAL 2 MONTH)) AND v.date < (DATE_SUB(CURDATE(), INTERVAL 1 MONTH)) should work.
You need DATE_ADD/DATE_SUB: AND v.date > (DATE_SUB(CURDATE(), INTERVAL 2 MONTH)) AND v.date < (DATE_SUB(CURDATE(), INTERVAL 1 MONTH)) should work.
These answers are thorough and good; I just want to specifically fix yours. See the other answers for HOW/WHY. setInterval(openAPage, 5000); Note the lack of (). Also, you’re missing the closing } on the openAPage() function.
The main method is: setInterval(function () { console.log(‘it works’ + new Date()); },30000); If you need to clear interval in future: var myInterval = setInterval(function () { console.log(‘it works’ + new Date()); },30000); in the future: clearInterval(myInterval);
With dates (and times) many things become simpler if you use >= start AND < end. For example: SELECT user_id FROM user_logs WHERE login_date >= ‘2014-02-01’ AND login_date < ‘2014-03-01’ In this case you still need to calculate the start date of the month you need, but that should be straight forward in any number … Read more
Part of the problem is that the standard SQL expression for intervals quotes the number, but not the keywords. So you have to be careful. select current_date, current_date + interval ‘2’ day; — 2012-02-21 2012-02-23 00:00:00 In PostgreSQL, quoting like ‘2 day’ and ‘2 days’ also works. So you might think that ‘2’ || ‘ … Read more
Updated: Now includes handling the data sample and uses mpl dates functionality. import matplotlib.pyplot as plt from matplotlib.dates import DateFormatter, MinuteLocator, SecondLocator import numpy as np from StringIO import StringIO import datetime as dt ### The example data a=StringIO(“””a 10:15:22 10:15:30 OK b 10:15:23 10:15:28 OK c 10:16:00 10:17:10 FAILED b 10:16:30 10:16:50 OK “””) … Read more
Here is the first part: Overlapping cars per user… SQLFiddle – correlated Query and Join Query Second part – more than one user in one car at the same time: SQLFiddle – correlated Query and Join Query. Query below… I use the correlated queries: You will likely need indexes on userid and ‘car’. However – … Read more
import bisect bisect.bisect_left([100,300,500,800,1000], p) here the docs: bisect