Re: ssconvert assumes that Excel/xlsx dates are in US locale?

EML <[email protected]> Sun, 15 May 2022 10:08:18 +0100
Newsgroups gmane.comp.gnome.apps.gnumeric
Message-ID <[email protected]>
This is a multi-part message in MIME format.
--------------undTXog3Bz0bA0n2nye21qZF
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 7bit

On 14/05/2022 22:35, Morten Welinder wrote:
> The devil's in the details here, so please provide a sample file.
> 
> And, as always, avoid csv if at all you can.
> 
> M.

Hi Morten - files attached (unless they've been stripped); thanks. This 
is a 2-cell workbook in English/UK locale, with a date formatted as 
dd/mm/yyyy, from Excel 2019. The csv file is the csv output from an 
Excel 'Save as', and contains today's date shown as "15/05/2022". 
1.12.46 instead produces "05-15-22".

Why csv? My code reads (Windows) spreadsheets and processes them 
(Linux); they mainly contain dates and times. So, the spreadsheet has to 
be CSV'ed first. I historically did this with in2csv (Python), but the 
current in2csv has issues with times, and ssconvert does a better job.

It's not the end of the world to get a US date; I can just use an 
automatic format instead and add downstream code to process the 
international date. However, it doesn't seem quite right, so I asked. 
Thanks.
--------------undTXog3Bz0bA0n2nye21qZF
Content-Type: application/vnd.ms-excel; name="ssconvert-date.csv"
Content-Disposition: attachment; filename="ssconvert-date.csv"
Content-Transfer-Encoding: base64

VG9kYXkncyBkYXRlOiwxNS8wNS8yMDIyDQo=
--------------undTXog3Bz0bA0n2nye21qZF
Content-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;
 name="ssconvert-date.xlsx"
Content-Disposition: attachment; filename="ssconvert-date.xlsx"
Content-Transfer-Encoding: base64
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--------------undTXog3Bz0bA0n2nye21qZF
Content-Type: text/plain; charset="us-ascii"
MIME-Version: 1.0
Content-Transfer-Encoding: 7bit
Content-Disposition: inline

_______________________________________________
gnumeric-list mailing list
[email protected]
https://mail.gnome.org/mailman/listinfo/gnumeric-list

--------------undTXog3Bz0bA0n2nye21qZF--