Funny thing when I want to save Excel columns with long numbers like below, resulting csv contains converted numbers to scientific notation which is unusable. I want them to be save as text. Any trick to do that?
28160010390002003505456159
12160010390002003505456156
39160010390002003505456155
39160010390002003505456155
Append a TAB char (ASCII 9) at the end of a number.
In order to have those long (>15 digit) numbers in Excel, they are already formatted as text. I suspect that the .csv file also shows them as long numbers (if you open the csv file with Notepad), but that when you open the csv file in Excel, you see them as truncated and converted to scientific notation.
If that is the case, what you need to do is IMPORT the csv file. When you do that, the text-to-columns wizard will open, and allow you to format that column as text. The location of the Import is different in different versions. In Excel 2007, it is on the Data ribbon, Get External Data / From Text.
put the number as a function like below:
="123456789123456789"
If, as the original question seems to imply, you are actually:
already working with data in Excel, and
want to save to a CSV format without losing digits in an extra long number,
Then, before doing a 'Save As' to your CSV format, try formatting the column with a custom format, and in the box for the pattern just type #. This will force Excel to see it as a number, however many digits long, without trying to do something else with it like 4.52364E+14 when you actually save it to CSV.
At least, that is how it works for me in Excel 365 at this point in time.
If you are trying to get data into Excel from a CSV, then the answer about using the data import wizard is probably the safest bet instead.
This is an old question, but since at the moment it's still the top result on a google search for the topic, I think the thread should be kept current. Hussein mahyoub provided the only real answer to the question, yet has not gotten the up-votes.
The answer which tells us to add a tab character after your number gets you an string of text with a tab after it inside excel. It looks visually correct, but, it's not correct inside the spreadsheet. If the intent is to use the data in excel as excel data and use formula etc, it could cause problems. Interestingly if you put the tab before the text, it shows up in the data after the text.
The answer which tells us inserting a ' before the text gets a ' in the excel file. It's visually an incorrect representation of the data.
The answer which boasts the virtue of openoffice is simply an evil troll which does not even attempt to answer the question.
The answer that explains how to import a CSV that has not been properly formatted is good information, but, off topic.
The direct answer to the question is
converted to text,largest number
="123456789012",12345678901
Convert the numeric to text using text function.
Text(number,"0")
using openoffice you can save in csv format without problems.
Don't use Export to csv feature in Excel.
You can easy format that column to number in Excel, then use "Save as" it with csv and "yes" to confirm that you want to keep the format in csv.
That is work for me
Click on the column that has scientific exponent number and go to Format cells and then Numbers (decimal point as 0), save it as MSDOS CSV. Worked for me.
Related
I collect various data in time plots. If I copy the timeplot data and then paste it into Excel, the number format is often wrong. For example, I often get a date like Aug 94 instead of the actual number from the TimePlot. Unfortunately, I can't easily format this date into a number either, since the formatted number does not match the actual number from the timeplot. If I format the date in the same format as the number above and below, then I get the number 34547. However, this number does not correspond to the actual number of the TimePlot. Anyone know how I can prevent this problem?
You can only solve this on the Excel side, AnyLogic provides the raw data for you. Excel then interprets stuff. You can test it by pasting the chart raw data into a txt or csv file.
So either fix your Excel settings or paste into a csv, then into an xlsx.
Or better still: Do not manually paste at all. Instead, write your model results into the AnyLogic database and export to Excel from there: this takes away a lot of the pain for you. Check the example models to learn how to do that.
This is not AnyLogic question, rather an Excel & computer formatting problem. One way of resolving this is changing computer's date and time settings.
Another way is to save your output at txt file in AnyLogic. Replace all . with ,. Then open empty Excel, select Text format for the columns. Copy-paste from the txt file.
In Excel there are a few options
when you paste use paste as text only option
But this does not always work as Excel will still try to format the stuff for you
Use the Paste Special option and then choose text
Also possible this will not work, based on your Excel settings.
Paste using the text import wizard
(This works for me without fail)
On step 2 choose tab delimited
On step 3 choose Column format as text for every column (you need to select them in the little diagram below)
You will then see the data exactly as it came from AnyLogic. See the example below where I purposefully imported some text which has something that Excel will think is a date. You will now be able to see what in your data made Excel thing your data needed to be formatted the way it is and then you can fix it. (post a new question if you struggle with this conversion)
But as noted by other answers first prize is to write all the important data to external files. But I know that even I sometimes want to export data from a chart and review it in Excel. Option 3 works for me everytime
The format of our member numbers has changed several times over the years, such that 00008, 9538, 746, 0746, 00746, 100125, and various other permutations are valid, unique and need to be retained. Exporting from our database into the custom Excel template needed for a mass update strips the leading zeros, such that 00746 and 0746 are all truncated to 746.
Inserting the apostrophe trick, or formatting as text, does not work in our case, since the data seems to be already altered by the time we open it in Excel. Formatting as zip won't work since we have valid numbers less than five digits in length that cannot have zeros added to them. And I am not having any luck with "custom" formatting as that seems to require either adding the same number of leading zeros to a number, or adding enough zeros to every number to make them all the same length.
Any clues? I wish there was some way to set Excel to just take what it's given and leave it alone, but that does not seem to be the case! I would appreciate any suggestions or advice. Thank you all very much in advance!
UPDATE - thanks everybody for your help! Here are some more specifics. We are using a 3rd party membership management app -- we cannot access the database directly, we need to use their "query builder" tool to get the data we want to mass update. Then we export using their "template" format, which is called XLSX but there must be something going on behind the scenes, because if we try to import a regular old Excel, we get an error. Only their template works.
The data is formatted okay in the database, because all of the numbers show correctly in the web-based management tool. Also, if I export to CSV, save it as a .txt and import it into Excel, the numbers show fine.
What I have done is similar to ooo's explanation below -- I exported the template with the incorrect numbers, then exported as CSV/txt, and copied / pasted THOSE numbers into the template and re-imported. I did not get an error, which is something I guess, but I will not be able to find out if it was successful until after midnight! :-(
Assuming the data is not corrupt in the database, then try and export from the database to a csv or text file.
The following can then be done to ensure the import is formatted correctly
Text file with comma delimiter:
In Excel Data/From text and selected Delimited, then next
In step 3 of the import wizard. For each column/field you want as text, highlight the column and select Text
The data should then be placed as text and retain leading zeros.
Again, all of this assumes the database contains non-corrupt data and you are able to export a simple text or csv file. It also assumes you have Excel 2010 but it can be done with minor variation across all versions.
Hopefully, #ooo's answer works for you. I'm providing another answer mainly for informational purposes, and don't feel like dealing with the constraints on comments.
One thing to understand is that Excel is very aggressive about treating "numeric-looking" data as actual numbers. If you were to open the CSV by double-clicking and letting Excel do its thing (rather than using ooo's careful procedure), those numbers would still have come up as numbers (no leading zeros). As you've found, one way to counteract this is to append clearly nonnumeric characters onto your data (before Excel gets its grubby hands on it), to really convince Excel that what it's dealing with is text.
Now, if the thing that uploads to their software is a file ending in .xlsx, then most likely it is the current Excel format (a compressed XML document, used by Excel 2007 and later). I suppose by "regular old Excel" you mean .xls (which still works with the newer Excels in "compatibility mode").
So in case what you've tried so far doesn't work, there are still avenues to explore before resorting to appending characters to the end of your data. (I'll update this answer as needed.)
You're on the right track with the apostrophe.
You'll need to store your numbers in excel as text at the time they are added to the file.
What are you using to create the original excel file / export from database?
This will likely be where your focus needs to be regarding your export.
For example one approach is that you could potentially modify the database export to include the ' symbol prefix before the numbers so that excel will know to display them as text.
I use the formula =text(cell,"# of zeros of the field") to add preceding zeros.
Example, Cell C2 has 12345 and I need it to be 10 characters long. I would put =text(c2,"0000000000").
The result will be 0000012345.
I'm working on a .NET application which exports CSV files to open in Excel and I'm having a problem with preserving leading zeros when the file is opened in Excel. I've used the method mentioned at http://creativyst.com/Doc/Articles/CSV/CSV01.htm#CSVAndExcel
This works great until the user decides to save the CSV file within Excel. If the file is opened again in Excel then the leading zeros are lost.
Is there anything I can do when generating the CSV file to prevent this from happening.
This is not a CSV issue.
This is Excel loving to play with CSV files.
Change the extension to something else.
As #GSerg mentions, this is not a CSV issue.
If your users must edit/save in Excel they need to select the entire worksheet, right-click and choose "Format Cells" and from the Category list select "Text" after opening the csv file. This will preserve the leading zeros since the numbers will be treated as simple text.
Alternatively, you could use Open XML SDK 2.0, or some other Excel library, to create an xlsx file from your csv data and programmaticaly set the Cell type to Text in order to take the end users out of the equation...
I found a nice way around this, if you add a space anywhere along the phone number, the cell is then not treated as number and is treated as a text cell in both Excel and Apple's iWork Numbers.
It's the only solution I've found so far that plays nice with Numbers.
Yes I realise the number then has a space, but this is easy to process out of large chunks of data, you just have to select a column and remove all spaces.
Also, if this is web related, most web type things are ok with users entering a space in the number field. E.g you can tap-to-call on mobiles.
The challenge is to get the space in there in the first place.
In use:
01202123456 = 1202123456
but
01202 123456 = 01202 123456
Ok, new discovery.
Using Quick Preview on Mac to view a CSV file the telephone column will display perfectly, but opening the file fully with Numbers or Excel will ruin that column.
On some level Mac OS X is capable of handling that column correctly with no user meddling.
I am now working on the best/easiest way to make a website output a universally accepted CSV with telephone numbers preserved.
But maybe with that info someone else has an idea on how to make Numbers handle the file in the same way that Quick Preview does?
I run a process to produce a rather large CSV file of data. Sometimes I find it helpful to open the CSV in excel, make changes manually, and then re-save. However, if there are dates in the CSV, excel automatically reformats them. Is there a way to prevent excel from doing this? It would be helpful if I could turn off all text formatting altogether.
If you prepend an apostrophe ' to the beginning of any date string during the export process, Excel will read the value literally (i.e. as plain text) rather than trying to convert it to a date.
This particular solution is handled during the export process. I'm not sure how you would change Excel to treat the file differently at runtime.
Excel does some nasty tricks when outputting XML. One of its tricks is to drop left most column delimiters if 16 or so consecutive rows have no values for these columns. This means that if you're splitting the lines up based on commmas then these rows will have a different number of columns to the rest.
It will also drop any initial 0's so things like numeric Ids can become messed up.
Another risk you run is chopping the file off short since Excel can only support a maximum number of rows. (Prior to Excel 2007 this was around 65536)
If you need to do anything to a CSV file other than read it use a text editor.
When you import the CSV file into Excel, be sure to pre-format the date column as text. There's a frequently overlooked option in the parsing that allows you to control the format column by column. This also works well for preventing the leading zeros in New England ZIP codes from getting dropped in your contact lists.
If you used the excel file version which is 2010 or later (not sure lower version), you can set up to use current operation-system date format or not in Excel/CSV file.
Right Click cell with date value (e.g. '9/12/2013') in CSV file and pop up the menu
Click 'Format Cells' and open a pop up screen
Go to 'Number' tab and you can see 'Date' was selected in 'Category' (left side) and 'Type' on the right side
Observed that there are two types of Date format (one is with () and another is not with ()). Read the comment there and you can find that you can use the date format which is not with date. It means that your changes to the CSV file will not be applied with your current operation-system date format. So, I think date format won't be changed in CSV file in this case.
Is this at all possible?
If I open up my file in standard text editor e.g. notepad the preceeding zeros are displayed.
e.g. 000485001 shows up.
Although this doesn't happen in excel. All that's displayed is 485001
Just wondering if there's a way around this?
Thanks,
Yes, when you're importing (or using 'Text to columns') you can explicitly indicate the data type for a column (instead of General). If you select 'Text' the zeros will not be dropped.
Unfortunately you only see the dialog to specify this option when Excel is already open and you use either File/Open or Data/Text to Columns. If you just double click a .csv in the explorer you don't get this choice.
Excel tries very hard to determine the type of value it's importing. If it looks like a number, it will treat it like a number, and drop all the leading zeros as it reads it in. There's no way to get them back once they're lost.
You might try to import the file using the wizard that lets you set the data type for each column.
Rather than writing your data as a CSV file, use the SYLK (Symbolic Link) format instead. This format includes information about the style of a column, so that Excel will not try to auto-guess the type of data.
The easiest way to get started with this format is to export a small file from Excel and use that as a template.
Ok got around this by inserting a text character before the number i.e. #000485001
Simple enough!