date

问题 I have a Json writer class EntrenadorWriter that writes the entity data produced from a RestFul service into a Json file. Then, the file is consumed by Json reader class. One of the fields that has to be written into the Json is a Java.util.Date Date. But I'm having serious trouble to write-read the Date. WriteTo method from Json writer class: @Override public void writeTo(Usuario t, Class<?> type, Type genericType, Annotation[] annotations, MediaType mediaType, MultivaluedMap<String, Object>

问题 So I have been struggling with DateTime formats. I am making an ASP.NET MVC app and I have a DateOfBooking property which is DateTime type. This property books DateTime.Date.Now when the form is sent. Below is my property and DataAnotations used to format my date. Format which i need is dd/MM/yyyy, but my column in DB (MS SQL Server Managment Studio) is in format yyyy-MM-dd. [DataType(DataType.Date)] [DisplayFormat(DataFormatString = "{0:yyyy-MM-dd}", ApplyFormatInEditMode = true)] public

问题 library(tidyverse) library(lubridate) library(padr) df #> # A tibble: 828 x 5 #> Scar_Id Code Type Value YrMo #> <chr> <chr> <chr> <date> <date> #> 1 0070-179 AA Start_Date 2020-04-22 2020-04-01 #> 2 0070-179 AA Closure_Date 2020-05-23 2020-05-01 #> 3 1139-179 AA Start_Date 2020-04-23 2020-04-01 #> 4 1139-179 AA Closure_Date 2020-05-23 2020-05-01 #> 5 262-179 AA Start_Date 2019-08-29 2019-08-01 #> 6 262-179 AA Closure_Date 2020-05-23 2020-05-01 #> 7 270-179 AA Start_Date 2019-08-29 2019-08-01

问题 This question already has answers here : Best way to convert Java SQL Date from yyyy-MM-dd to dd MMMM yyyy format (4 answers) getYesterdayDate_yyyy_MM_dd() this method with return type java.sql.date (1 answer) Closed 10 months ago . I have an Oracle Date type stored in the db in this format 06-MAR-20 , when i mapped it to a java domain class i had a property of type java.SQL.Date but i got the data in this format 2020-03-06 How can i stick to the exact same format from whats stored in my db?

问题 I have a database that contains a series of events and their timestamp. I find myself needing to select all events that happen between 11:00 and 11:10 and 21:00 and 21:05, for all days. So what I would do is I extract from timestamp the hour and the minute, and: SELECT * WHERE (hour = 11 AND minute <= 10) OR (hour = 21 AND minute <= 05) However, I was wondering if there's a simpler / less verbose way to do this, such as when you query between dates: SELECT * WHERE date BETWEEN '2020-07-01'

问题 I have a date variable, which originally comes from an excel. However, it is so heterogeneous. Even though all look like yyyy/mm/dd in the excel, when read in R, the variable look like: person_1 39257 person_2 2015/2/20 person_3 NA How to clean up the date variable so that every and each shows yyyy/mm/dd format? 回答1: Or an option with anydate and excel_numeric_to_date library(janitor) library(anytime) library(dplyr) coalesce( excel_numeric_to_date(as.numeric(dat$V2)), anydate(dat$V2)) #[1]

问题 I have two numbers. First would be the month number. Second would be the day number. I also know the year. How can I take those two number, month and day and make it into a single number DAY_OF_YEAR? I'm using Java 1.7 and the Calendar functions. 回答1: Just using calendar and assuming by number of month you mean the zero-indexed one where 0 means January, here is an example for May 13th 2019: Calendar c = Calendar.getInstance(TimeZone.getTimeZone("GMT"), Locale.ENGLISH); c.set(Calendar.YEAR,

问题 i have a field for date with date, month and year.In my visualization, I need date to be displayed in (MON-Year) format. I switched to data view, created calculated column with Mon-Year = FORMAT('table'[Date],"YYYY-MM") Now it's getting displayed as (YEAR and Month number) but I want to change it as month name. After changes in data view, when I close apply, the column is present but there is no data type visible. Should I create different calculated fields for year and month separately and

问题 I have dates in excel in the following format 02/15/2011. When I import to excel, the dates are numeric such as 40561. When I convert these in SAS using the code below, I get dates such as 04/01/1946. So far my code is: data Reformat11; set Old; Amount1 = input(Amount, comma10.); DateReceived2 = Input(PUT(DateReceived, 5.), MMDDYY10.); Format DateReceived2 MMDDYY10.; format DateApproved MMDDYY10.; run; Any other Suggestions? 回答1: SAS knows how to import dates from Excel. What it cannot do is

问题 **Year_qtr GDP ADJ_GDP** 2 1947q1 243.1 1934.5 3 1947q2 246.3 1932.3 4 1948q3 250.1 1930.3 5 1949q4 260.3 1960.7 Tried parse() from dateutil package but didnt wwork. Result dataframe should have 'Year_qtr' column as date values instead of object. 回答1: pandas already can do this out of the box! you can cast to datetime right away: import pandas as pd df = pd.DataFrame({'Year_qtr': ['1947q1', '1947q2', '1948q3', '1949q4']}) df['datetime'] = pd.to_datetime(df['Year_qtr']) # df # Year_qtr