I want to generate a CSV file for user to use Excel to open it.
If I want to escape the comma in values, I can write it as "640,480".
If I want to keep the leading zeros, I can use ="001234".
But if I want to keep both comma and leading zeros in the value, writing as ="001,002" will be splitted as two columns. It seems no solution to express the correct data.
Is there any way to express 001, 002 in CSV for Excel?
Put a prefix String on your data:
"N001,002","N002,003"
( As long as that prefix is not an E )
That notation ( In OpenOffice at least) above parses as a total of 2 columns with the N001,002 bytes correctly stored.
CSV Specification says that , is permitted inside quote strings.
Also, A warning from experience: make sure you do this with phone numbers too. Excel will otherwise interpret phone numbers as a floating point number and save them in scientific notation :/ , and 1.800E10 is not a really good phone number.
In OpenOffice, this RawCSV chunk also decodes as expected:
"=""001,002""","=""002,004"""
ie:
$rawdata = '001,002';
$equation = "=\"$rawdata\"";
$escaped = str_replace('"','""',$equation);
$csv_chunk = "\"$escaped\"" ;
Since no-one mentioned it already, figured it was worth mentioning it in this old post.
If you add a horizontal tab character \t before the number, then MS Excel will also show the leading zero's. And the tab character doesn't show in the excel sheet. Even if it's surrounded by double-quotes. (F.e. \"\t001,002\")
It also looks nicer in Notepad++, compared to putting a \0 aka NULL before such number.
Looking more at the Excel spreadsheet it looks what you want can't be done using CSV.
This site http://office.microsoft.com/en-us/excel/HP052002731033.aspx says "If cells display formulas instead of formula values, the formulas are converted as text. All formatting, graphics, objects, and other worksheet contents are lost. The euro symbol will be converted to a question mark."
However, you can change how you load it to get the result you want. See this web page: Microsoft import a text file.
The key thing is to choose Import External Data-Import Data-Text Files, go Next, Next, and then tick "Text" under column data format. This will prevent it being interpreted as a number, and losing formatting.
I was fiddling around with CSV to Excel (i use PHP to create the CSV, but i guess this solution works for any language. When you spot that a leading characters (such as + , - or 0 are disappearing, create the CSV with chr(13) as a prefix. This is a non printable character and it works wonders for my Excel Office 2010 version. I tried other non printable characters, but with no luck.
so i use Chirp Internet solution but tweaked with my prefix:
if (preg_match("/^0/", $str) || preg_match("/^\+?\d{8,}$/", $str) || preg_match("/^\d{4}.\d{1,2}.\d{1,2}/", $str)) {
$str = chr(13)."$str";
}
If you are using "Content-Disposition" and exporting from asp to excel using HTML tags,then you have to add "style='mso-number-format:\@;'" to that tag and making it to accept only Text values ,thereby leading zeroes omission will be avoided,If Forward slash"\" is accepted use double forward slash "\"
All the suggested answers don't seem to work for me right now ("=""blahblah""" and others) in all current Excel versions or Numbers app on OS X.
The only solution I found to be working by fiddling around is to add an escaped null character at the beginning of the string (which is \0 in PHP or C based languages). Everything ends up treated as is without being calculated or processed by the software when opening the calc sheet.
echo "\0" . $data;
Excel uses a default formatting for CSV columns depending on the content. So if you have 001 in a csv, excel will automatically turn it to 1.
The only way to keep the leading zeros in excel from a csv file is by changing the extension of the csv file to .txt, then just open excel, click on open, select the txt file, and you'll see the Text Import Wizard. Select your csv format (separated by commas), then just make sure you select "Text" as the format.
And that's it, now you can export that previous csv data to any other while keeping the leading zeros.
