Following the examples provided in the documentation (in particular example 07reader.php) I have managed to extract all the data I needed from an excel file.
However the files I need to import have date values that need to be converted to Y-m-d, so I was wondering if PHPExcel can always output dates in a certain format.
Does anyone know hot to do it? I've looked in the official forum, but I haven't found any solution, and I didn't get how to do it looking at the documentation.
PHPExcel will show date formats according to the defined format mask. There are a number of helper functions available that will allow you to convert an Excel timestamp value to a PHP/unix timestamp or to a PHP DateTime object: like PHPExcel_Shared_Date::ExcelToPHP() and PHPExcel_Shared_Date::ExcelToPHPObject()
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I have one Python file that helps me pull and organize datetime data from a server into a pandas DataFrame, and then export out into a nice and usable CSV. My second Python script needs to read the CSV and analyze the data. If I do not touch the exported CSV, the analysis can read the CSV and runs smoothly. However, as soon as I try to merge a few CSV files together with Excel/other spreadsheet software, I get a datetime error
ValueError("time data %r does not match format %r" %
ValueError: time data '2019-12-26 23:00' does not match format '%Y-%m-%d %H:%M:%S'
Even though, it is a direct copy/paste and still saved as a CSV. Any guru can provide some insight on this matter?
Pretty sure this is an Excel issue, not a Python problem.
If you load a .csv that has timestamp strings into Excel, Excel recognizes the datetimes - and formats them. This format seems to default to MM.DD.YYYY hh:mm (the date component might be different depending on your locale):
If you save the file in Excel, the seconds are removed in the .csv!
The only procedure that seems to reliably prevent this behavior is to set a specific date/time format for the respective column, e.g. DD.MM.YYYY hh:mm:ss. AFAIK, You'll have to do this manually for each workbook
Or perhaps write a macro. In older Excel versions, I had a PERSONAL.XLSB for that; should still work with newer versions, you'll have to put it in C:\Users\[username]\AppData\Roaming\Microsoft\Excel\XLSTART
you can use .xlsx format instead of .csv, presumably you won't loose format information there
I see from the error that not all your CSV files have the same time format.
Some on them are in [hour:minute] and some in [hour:minute:second].
ValueError: time data '2019-12-26 23:00' does not match format '%Y-%m-%d %H:%M:%S'
Make sure that datetime fields in all of your CSV matched the same format.
experts!
I've got two similar Excel files (xlsm) as templates. Both have sheets with Date column.
Visible format for both files when use Excel is "10-Aug-20".
But when I read these files with SSIS process with Script Component Source using Microsoft.ACE.OLEDB.12.0 with "IMEX=1"... ta-da... some I see as expected, but some are 10.08.2020 00:00:00
This causes me a lot of pain because I will process files from both US (MM/dd/yyyy) and German (dd.MM.yyyy) date formats and would like to have locale-independent date format to process dates same way.
How can I force excel to give or ssis to read a correct date format.
Any suggestion how to see both files same programmaticly is most wanted and highly appreciated!
You could try to use the script component (as Transformation) to transform the data by using DateTime.TryParseExact
string dateString = "10-Aug-20";
string format = "dd-MMM-yy";
DateTime dateTime;
if (DateTime.TryParseExact(dateString, format, "en-US",DateTimeStyles.None, out dateTime))//if (DateTime.TryParseExact(dateString, format, "de-DE",DateTimeStyles.None, out dateTime))
{
Console.WriteLine(dateTime);
}
I have a excel file that automatically imports data from an Oracle DB into the sheet. Everything works fine, but date formatting is wrong. In the Oracle DB, the format is 01-JAN-2016. But when it exports to Excel, the format suddenly changes to 1/1/2016.
Is there a good solution to this? Setting the cell format beforehand doesn't work. Once the data is imported, Excel automatically switches format to Date. I have tried a lot but can not solve this issue so I am wondering if any of you have ideas as to what to do. Thanks.
The date isn't stored in "01-JAN-2016" format, that's just a representation of the underlying date value.
The recordset contains the data, not its representation. Format the column with a NumberFormat like dd-mmm-yyyy, and 2016/01/01 will look like 01-JAN-2016.
Surely someone before me has needed to produce a year, month, day in a single field for a CSV that "just works" in popular versions of Microsoft Excel? I want only a date, no timestamp, though I suppose I could include 00:00 or something like that if I absolutely had to.
Panagiotis Kanavos points out that "Excel can only import it and try to guess whether the text values correspond to a certain type, using the user's locale settings." My question is about what format will cause Excel to guess correctly in the US and Europe, and ideally everywhere else.
If it's impossible or unreliable to do this in CSV, I will accept a link to using some zipped XML format or something that Excel and other spreadsheets accept universally instead of CSV.
This is NOT a duplicate of of the following:
Best timestamp format for CSV/Excel? because I want it without a timestamp.
What are the "standard unambiguous date" formats? because I need CSV specifically for Excel to read.
Excel CSV date format because I need Excel import from CSV, not export.
Read Date Format in PHP EXCEL because I need Microsoft Excel, not PHP Excel.
Excel will recognize YYYY-MM-DD as a global standard.
Cartoon from: https://www.xkcd.com/1179/
The difficulty with answering your question is that to test the proposed answer, the format must be tested in "all popular versions" of Excel
I have several versions of Excel and in my testing this:
worked in all my versions (English-US Locale)
I'm having simple excel files with various timstamp formats written as strings.
There is a build in feature in openpyxl to automatically convert what seems like a date to a datetime object.
My question is simple, how can I take the raw string as it was inserted to the excel file by the user, without intervention of openpyxl.
I want to do my own format testings using a function that tries various calls to datetime.strptime myself.
Loading the excel is done by me like this:
import openpyxl
ex = openpyxl.load_workbook('/path/to/file.xls')
worksheet = ex.active
In case needing to iterate over rows I'm using worksheet.iter_rows method
You're assumption is incorrect: openpyxl does not convert strings unless you ask it to by setting guess_types=True. Excel treats the values as datetime objects by setting the number format and internally converting them to serials with an epoch of 1899-12-30.