Note: There are questions asking the opposite, I am asking how to convert original Excel date that has underlying numerical value (for example, 27 May 1997 would correspond to 35577) into yyyymmdd format.
I have an Excel file where originally the dates were entered manually. Excel displays them as dates, but as you know they have a numeric underlying value. I.e., in the example I gave above, if you export this date into any other statistical software (i.e., Matlab or R), the value would be the underlying numeric counterpart.
What I need to do is to convert these "original" Excel dates into yyyymmdd format and then export them elsewhere.
Any suggestions are welcome.
See if this works for you -
%// For demo couple of values are assumed, but these are the values
%// that you have got from excel file
numerical_vals = [35577 ; 35579]
date_array = datevec(numerical_vals);
date_array(:,1) = date_array(:,1)+1900;
out = datestr(date_array,'yyyy/mm/dd')
Output -
out =
1997/05/27
1997/05/29
First, you should check your date setting in your computer.
Navigate to :
Control Panel -> Clock and Region -> Region-change date, time or
number formats -> Additional Settings -> Date
There change the Short date under Date formats (yyyy/MM/dd), then apply them in both windows and click ok. Restart the excel and it should work!
If it still doesn't work, you can check the format cell in excel, and convert the cells into dates.
Besides, there's a function in R called as.Date(x, format, tryFormats = c("%Y-%m-%d", "%Y/%m/%d"), which also could work.
Related
=text(5/7/19,[Windows date format]) depends on the computer you are opening the Excel file from. For instance: =text(5/7/19, "mm/dd/yy") works on the company computer because that's how the windows formatted the date, but in my computer, it has to be =text(5/7/19, "dd/mm/yy") else it will return a different value and using other functions such as =datevalue(text(5/7/19, "mm/dd/yy") will return a #VALUE! error on my home computer. This is not good because it is very variable when the file is being moved around computers. How to standardize this?
So what about:
=TEXT(43592,"mm")&"/"&TEXT(43592,"dd")&"/"&TEXT(43592,"yy")
Or reference a cell where you have put your date.
Unfortunately I don't think it is possible - see the this link
Quote:
Problem: The value in the date_text argument is not in sync with the system’s date and time settings*
If your system date and time settings follow the mm/dd/yyyy format,
then a formula such as =DATEVALUE(“22/6/2000”) will result in a #VALUE! error. But the same formula will display the correct value when the system's date and time is set to dd/mm/yyyy format.
Solution: Make sure that your system’s date and time settings (both Short time and Long time) matches the date format in the
date_text argument.
I think the only solution is to make sure that your date is in the valid (i.e. recognised by the system) date format before any other function (like DATEVALUE) is applied.
It will be easy to achieve if your function is simply =text(5/7/19,[Windows date format]). You can reference your cell field (e.g. =[#Date]) and format a given cell using an "universal" date format (the ones that start with * sign).
However, if you are combining =text(5/7/19,[Windows date format]) with some other formula (e.g. when you want to display a full sentence like A very important event happened on 5/7/19) then, unfortunately, cell format won't save you here and we're out of solutions. In such case the end user would need to manually modify the date cell in order to make it recognisable.
I have a range of data which are in a time format of hh:mm.ss (my original dataset is imported through a csv this way). I need to transform it to a correct format (hh:mm:ss) to make calculations and that's easily done using the replace functionality.
The issue is that some of these data don't have the hh part, they are just mm.ss, so when I replace "." with ":" they become hh:mm instead of mm:ss, e.g. 06m.30s becomes 06h:30m.
Does anyone know how to make a custom time format that will take as default value the mm and include the hh only when necessary?
This assumes that during the import process, the time column is imported as TEXT
EDIT: Formula shortened.
Convert the values to a REAL Excel time
=TIMEVALUE(SUBSTITUTE(IF(ISERR(FIND(":",A2)),"00:"&A2,A2),".",":"))
or
=--(SUBSTITUTE(IF(ISERR(FIND(":",A2)),"00:"&A2,A2),".",":"))
Apply your desired Time format to the result
hh:mm:ss
I am trying to extract the date from a date timestamp in excel. I currently have a data file with a mixture of date formats including date only and date timestamps. This is causing me problems as I am importing the data into SAS and it cannot read both the date only and date timestamps under the same column.
I have tried in Excel converting the timestamp to a date using the following formula:
=DATEVALUE(DAY(E32) & "/" & MONTH(E32) & "/" & YEAR(E32))
This works in excel and converts the date so that they are all formatted the same and therefore gets around the issue of the timestamp. However when I import the data into SAS, I get null values if the day is greater than 12, i.e. it is reading the date as mm/dd/yyyy. For example:
Excel Date SAS Import Date
09/12/2016 09/12/2016
15/12/2016 #VALUE!
I tried to reformat this in excel using the following to see if it would get around the issue:
=DATEVALUE(MONTH(E32) & "/" & DAY(E32) & "/" & YEAR(E32))
But I then get the same SAS error in excel.
Can anyone help suggest a formula to use in excel that will get around this issue or advice on importing the data into SAS?
It sounds like your Excel data is in DMY format, but SAS is using MDY. You can check SAS by running the following code :
proc options option=datestyle;
run;
If it is MDY, then change it (and if you're in the UK ask your SAS admin to change the default setting)
option datestyle='DMY';
You can also check the locale value, which in the UK will be EN_GB. This value determines the datestyle value used when working with dates.
proc options option=locale;
run;
If you asked SAS to import from an XLSX file then it should be able to tell that the column contains dates, independent of which display format you have attached to the cells. Make sure that all of the cells in a single column are the same type of data and use the same display format.
CSV files are not Excel files and so there is no place to put a formula or any metadata about what type of data is in each column. If you use PROC IMPORT to read the CSV file then SAS will have to guess at what type of data each column in the CSV contains. If you are saving an Excel files as a CSV file for later reading into SAS or other software then you should format your date columns using yyyy/mm/dd format in Excel to prevent confusion that can be caused by different defaults for month and day order. Nobody uses YDM order.
Since a CSV file is just a text file if you want complete control over how SAS reads the date strings then just write the data step to read it yourself. You could run PROC IMPORT and then recall the code that it generates and modify it to read your data. You could read the string into a character variable and then write your own statements to convert it using say the INPUT() function.
If the column has some date values and some date time values then you could try using the ANYDTDTE informat to pull just the date part. That informat should properly handle 15/10/2016 even if your LOCALE settings are for US or other locations where dates are normally represented in MDY order and not DMY order.
If your dates are consistently in the DMY order then use DDMMYY informat to prevent the LOCALE setting from causing PROC IMPORT or ANYDTDTE informat to convert 12/10/2016 to December 10th instead of October 12th. But if your text file actually has some rows with dates in month first order and others in day first order then you will really need some extra information to properly tell the difference between December 10th and October 12th.
Program: Excel 2010
Issue: External report gives me a text string, I want to convert it to Date & 24 hour time.
141221205535 needs to be:
14/12/21 20:55:35
I have tried text to columns making the result show: YMD
I have then tried using the format cells option: (custom) yy/mm/dd hh:mm:ss
* I receive a string of ######## in the Sample field in the formatting box.
I have tried also just using the date/time version, no seconds
1412212055 needs to be:
14/12/21 20:55
ideally, if possible:
20141421 2055 or 2014/14/21 20:55 I will accept
I can not alter the report as it comes through a 3rd party and I am pulling the date from a 'reference' field. The report, when downloaded, is in CSV and there is no existing formatting on the data.
I need to convert this as my sales report then needs to be sorted by date order.
Note: If I do use the seconds in the string, I get the weird looking scientific number. So i've had to reduce the digits, this isn't ideal, is there a way to avoid the scientific number whilst the process of changing 'text to date' is happening?
Thanks in advance.
I used this formula to convert:
=TEXT(A1,"2000-00-00 00\:00\:00")+0
format result cell in required format, e.g. yyyy/mm/dd hh:mm:ss
If you don't want the seconds in the underlying value you can use this version
=TEXT(LEFT(A1,10),"2000-00-00 00\:00")+0
These formulas work because TEXT function converts your value 141221205535 to a text value 2014-12-21 20:55:35, then, because that is a valid date/time format in Excel the +0 "co-erces" the text value to a serial number representing the correct date/time in Excel.....so you can then simply format the result to display any way you want.
Note that I'm assuming all dates will be in the current (21st) century.....
A formula like this would work -
=TEXT(DATE(LEFT(A1,2),MID(A1,3,2),MID(A1,5,2))+TIME(MID(A1,7,2),MID(A1,9,2),MID(A1,11,2)),"yy/mm/dd hh:mm:ss")
If your format always has 12 digits
You'll need to add the datevalue with the timevalue to get also the HMS
for example (suppose the text is in D5 cell):
=DATEVALUE(LEFT(D5,2)&"-"&MID(D5,3,2)&-MID(D5,5,2))+TIMEVALUE(MID(D5,7,2)&":"&MID(D5,9,2)&":"&RIGHT(D5,2))`
I have a program that gets input in the form of an excel which it reads by querying (select * into a dataset).
The excel is created by the customer.
The excel contains a date column.
The problem is, that when looking into the dataset, the date column format is sometimes like mm/dd/yyyy and sometimes dd/mm/yyyy. (1/25/1970) (25/1/1970)
I guess it depends on the locale on the machine which the excel was made.
How can my program know what is the date format in the excel?
Not sure whether your question is about output or input...
For output:
You did not mention the database type. But the rule is: make your dates the american way: mm/dd/yyyy. For Jet, I generally use Format(MyDate, ""\#dd\/mm\/yyyy\#"")
("\" is the escape character, it makes sure the next character is output "as is")
For input:
Try reading the cell format ? range("a1").NumberFormat
However on my PC, with French setup a date displayed as 15/2/2011 has a returned format = m/d/yyyy so little use here !