I am loading an Excel 97-2003 XLS file into C# using GemBox.Spreadsheet version 39.3.30.1202.
One cell has the value 13-01-2017 (Formatted: 20170113) and the datatype "Date" with custom formatting "YYYYMMDD".
After
Gembox.Load(new XlsLoadOptions( ) { PreserveOptions = XlsOptions.None });
The cell has the value 42748 and valuetype 'int'.
I can get the correct value using ExcelCell.ConvertExcelNumberToDateTime(cell.DoubleValue, false)
= {13/01/2017 00:00:00}, but since this is donw in an automated process I wouldn't be able to tell real integers from the wrongfylly converted date.
How can i get GemBox.Spreadsheet to see that the date is not a number?
This was (hot)fixed in GemBox.SpreadSheet 39.3.30.1205 nuget
Related
I have two dates in my Excel table with the following format: "dd-mm-yyyy". These dates need to be sent as URL query parameters to an API endpoint for getting some data using PowerQuery. However, the API endpoint does not accept dates in that format. Therefore, I need to convert them to the format "mm-dd-yyyy" instead for it to work.
For getting the values from my table, I use the following code:
let GetNamedRange=(NamedRange) =>
let
name = Excel.CurrentWorkbook(){[Name=NamedRange]}[Content],
value = name{0}[Column1]
in
value
in
GetNamedRange
This function, called "GetValue", is then called when inserting URL query parameters in my GET request:
Csv.Document(Web.Contents("my.api/leave/leavecsv", [Query = [periodStart = GetValue("periodStart"), periodEnd = GetValue("periodEnd"), department = GetValue("department")]]),[Delimiter=";", Columns=14, Encoding=1252, QuoteStyle=QuoteStyle.None])
Currently the cells for my dates are in Text format. I tried using Date.FromText(...) to format the dates, but I get an error saying the datetime format is invalid.
https://learn.microsoft.com/en-us/powerquery-m/date-fromtext
How can I propertly format my date values before inserting them as URL query parameters using PowerQuery?
Ensure your dates are real dates and set to type date. then you can use the Date.ToText function:
let
theDate = #date(2022,12,7),
output = Date.ToText(theDate,"MM-dd-yyyy")
in
output
If, for some reason, you must maintain your dates as text strings (I'd like to know why, if that's the case), you can convert them first to a "real" date, and then create the string:
let
theDate = "13-12-2022",
output = Date.ToText(Date.FromText(theDate, "en-150"),"MM-dd-yyyy")
in
output
Make sure you pass in a culture and format. i.e.
Date.FromText([Column1], [Format="dd-MM-yyyy", Culture="en-UK"])
I have a problem with the Function Module "GUI_DOWNLOAD" because of the date converting.
I want to get the date like I have it in my internal table but CSV (Excel) keeps converting it everytime.
The internal table contains the line like this: 12345678;GroupDate;2021-12-31;
The Output in the .csv-File should be "2021-12-31" but it keeps converting to "31.12.2021".
I also tried to put an ' (apostroph) before the date but the output will be '2021-12-31
Does anybode have an Idea ?
lv_conv = '2021-12-31'.
CONCATENATE TEXT-001 LV_CONV INTO LV_CONV.
CALL FUNCTION 'GUI_DOWNLOAD'
EXPORTING
FILENAME = IV_PATH
TABLES
DATA_TAB = LT_FILE.
LT_FILE is a string table.
Thanks for the help.
Like Suncatcher and Sandra said the file is right but it is only the settings from excel which convert the date.
If the Output file won´t be needed for other purposes than showing the code could be something like this
CONCATENATE '=("' LV_CONV '")' INTO LV_CONV.
The csv-Output would be a date like this 1960-01-01 but in the cell the value would look like =("1960-01-01").
As a start, I am extremely new at Python.
I am receiving an Excel file where the date field is incomplete. The value displays as "190808" (YYMMDD) instead of "2019-08-08".
Part of my automation attempt is to move the file to a different location, where the file is renamed. I want to use the date field to change the file name to the file description and date (e.g. "Sales figures 201908").
The code I have only works if the date format is
str(df['Bank date'][0].strftime("%Y%m"))
I have tried dateparser with the following:
dateparser.parse(df['Bank date'][0].strftime("%Y.%m"))
The error I am receiving is 'numpy.int64' object has no attribute 'strftime'
Any help will do.
Thanks.
I modified it slightly and built my own date-string using slicing.
vOldDate = str(df['Bank date'][0])
vNewDate = '20' + vOldDate[:2] + '.' + vOldDate[2:4]
Numpy is interpreting the date as an integer. To use dateparser, you need to convert that value into a string first, then parse that string, and then format the result:
dateparser.parse(str(df['Bank date'][0])).strftime("%Y.%m")
Since the input format is expected, you should specify it to ensure you get the right date:
>>> dateparser.parse(str(190808), date_formats=['%y%m%d']).strftime("%Y.%m")
'2019.08'
In lotusScript: I've used:
doc.DocDate = Format(document.get("DatePublished"),"mm/dd/yyyy") 'Rem return 08/22/2017
In formula: I've used for to get year:
#Year(DocDate)
But when i run the program i get the error : "incorrect data type for operator or #function time/date expected". How to fix it?
Get date value with
document.DatePublished(0)
or
document.GetItemValue("DatePublished")(0)
Then your field DocDate should be calculated properly.
#Year() expects a NotesDateTime value. DocDate is a String value though. You can change your formula to
#Year(#ToTime(DocDate))
and it will work if your language settings are set to US date format.
I'm using the Apache POI framework for parsing large Excel spreadsheets. I'm using this example code as a guide: XLSX2CSV.java
I'm finding that cells that contain just numbers are implicitly being treated as numeric fields, while I wanted them to be treated always as strings. So rather than getting 1.00E+13 (which I'm currently getting) I'll get the original string value: 10020300000000.
The example code uses a XSSFSheetXMLHandler which is passed an instance of DataFormatter. Is there a way to use that DataFormatter to treat all cells as strings?
Or as an alternative: in the implementation of the interface SheetContentsHandler.cell method there is string value that is the cellReference. Is there a way to convert a cellReference into an index so that I can use the SharedStringsTable.getEntryAt(int idx) method to read directly from the strings table?
To reproduce the issue, just run the sample code on an xlsx file of your choice with a number like the one in my example above.
UPDATE: It turns out that the string value I get seems to match what you would see in Excel. So I guess that's going to be "good enough" generally. I'd expect the data I'm sent to "look right" and therefore it'll get parsed correctly. However, I'm sure there will be mistakes and in those cases it'd be nice if I could get at the raw string value using the streaming API.
To resolve this issue I created my own class based on XSSFSheetXMLHandler
I copied that class, renamed it and then in the endElement method I changed this part of the code which is formatting the raw string:
case NUMBER:
String n = value.toString();
if (this.formatString != null && n.length() > 0)
thisStr = formatter.formatRawCellContents(Double.parseDouble(n), this.formatIndex, this.formatString);
else
thisStr = n;
break;
I changed it so that it would not format the raw string:
case NUMBER:
thisStr = value.toString();
break;
Now every number in my spreadsheet has its raw value returned rather than a formatted version.