date-range

问题 This question relates to this post: Split date range into one row per month in sql server But I'm new to Stackoverflow and new users are not allowed to place comments to provided solutions.That's why I am now adding this as a new question. The question was this: I have a table with two column called "from_date" and "to_date" The table looks like this: Table (I am not allowed to embed my picture here, so please click the link) I want result like:- from_date || to_date ----------- ------------

问题 I'm trying to create a date range which works in six-month increments backwards from a particular date. So if the end_date is 2020/01/15, then the date before that would be 2019/07/15, then 2019/01/15, etcetera. pandas accepts, say, '6M' as the freq parameter in date_range, but this actually means month-end, so test_range=pd.date_range(periods=10,end=dt.date(2020,1,15),freq='6M') returns DatetimeIndex(['2015-06-30', '2015-12-31', '2016-06-30', '2016-12-31', '2017-06-30', '2017-12-31', '2018

问题 This is a extjs mixin to validate fromdate todate or start end dates in a form. here's the mixin.. (core code was taken from sencha forum :)) Ext.define("AMShiva.mixin.DateRangeValidator", { timerange: function (val, field) { /// <summary> /// This will validate two datefields /// </summary> var me = this; //will be the form, containing datefields var time = field.parseDate(val); if (!time) { return; } if (field.startTimeField && (!this.timeRangeMax || (time.getTime() != this.timeRangeMax

问题 I've written a query to retrieve how many website signups I've had every day: SELECT created, COUNT(id) FROM signups GROUP BY created ORDER BY created desc However, this only retrieves rows for days where people have actually signed up. If nobody has signed up in a day, I would like to return 0 for that day. Is there a way to do this using SQL or will I have to parse through the results using PHP? 回答1: Assuming created to be of type date for lack of information. Postgres provides the

问题 Given the following data frame: import pandas as pd df=pd.DataFrame({'A':['a','b','c'], 'first_date':['2015-08-31 00:00:00','2015-08-24 00:00:00','2015-08-25 00:00:00']}) df.first_date=pd.to_datetime(df.first_date) #(dtype='<M8[ns]') df['last_date']=pd.to_datetime('5/6/2016') #(dtype='datetime64[ns]') def fnl(x): l = pd.date_range(x.loc['first_date'], x.loc['last_date'], freq='B') return pd.Series([l]) df['range'] = df.apply(fnl, axis=1) df A first_date last_date range 0 a 2015-08-31 2016-05

问题 i have a problem, i have a table with 3 columns - date - varchar2 - varchar2 - | date | start_hour | end_hour | I need to make a validation to not overlap hour ranges. For example: | date | start_hour | end_hour | | date1 | 09:00AM | 09:30AM | | date1 | 10:30AM | 11:30AM | | date1 | 01:00PM | 03:00PM | Assuming the date is the same for the 3 rows. What i need is, to no overlap these ranges I cant insert a ranges like this start_hour = 08:00AM and end_hour = 09:20AM, because, a range between

问题 I have a table Subscriptions in PostgreSQL 10.5: id user_id starts_at ends_at -------------------------------- 1 233 02/04/19 03/03/19 2 233 03/04/19 04/03/19 3 296 02/09/19 03/08/19 4 126 02/01/19 02/28/19 5 126 03/01/19 03/31/19 6 922 02/22/19 03/22/19 7 111 01/22/19 02/21/19 8 111 02/22/19 03/21/19 I want to see user_ids who do not have a subscription that starts within 2 days of when their March subscription ended. For users with a subscription that ends in March. Given the table above,

问题 Here is my table structure and data: CREATE TABLE event ( EventID INT(11) NOT NULL AUTO_INCREMENT, EventDate DATETIME DEFAULT NULL, Description VARCHAR(50) DEFAULT NULL, PRIMARY KEY (EventID) ); INSERT INTO event (EventID, EventDate, Description) VALUES (1, '2011-01-01 00:00:00', 'Event 1'), (2, '2011-03-01 00:00:00', 'Event 2'), (3, '2011-06-01 00:00:00', 'Event 3'), (4, '2011-09-01 00:00:00', 'Event 4'); And this query and output: SELECT * FROM EVENT WHERE EventDate BETWEEN '2011-02-01' AND

问题 I'm wondering how I could prevent a user from selecting dates above today's date. For example, today is 3.7 so let that be the highest end date a user could select. <DateRangePicker startDate={this.state.startDate} startDateId="startDate" endDate={this.state.endDate} endDateId="endDate" onDatesChange={({ startDate, endDate }) => { this.setState({ startDate, endDate }, () => {}); }} focusedInput={this.state.focusedInput} // PropTypes.oneOf([START_DATE, END_DATE]) or null, onFocusChange=

问题 This is a part of solving a more complex problem. There is a table with data: +------------+------+----------+-----------+ | date | data | data_max | data_diff | +------------+------+----------+-----------+ | 2017-01-02 | 2 | 2 | NULL | | 2017-01-03 | 4 | 4 | NULL | | 2017-01-04 | 1 | 4 | -3 | | 2017-01-05 | 3 | 4 | -1 | | 2017-01-06 | 1 | 4 | -3 | | 2017-01-07 | 4 | 4 | NULL | | 2017-01-08 | 5 | 5 | NULL | | 2017-01-09 | -2 | 5 | -7 | | 2017-01-10 | 0 | 5 | -5 | | 2017-01-11 | -5 | 5 | -10 |