![]() ![]() The first number used by the item method represents the row, and the second number represents the column. But in this example, there is little danger because as the script is written, the active document must be a worksheet. There is a risk in this technique in that if the active document is not a worksheet, the cells property call will fail, which would cause the entire script to not work. By accessing the cells collection from the application object, we avoid having to create a worksheet object. The active worksheet in our example is sheet1 in the newly added workbook. The cells collection from the application object returns a range object that represents all the cells in the active worksheet. This is a bit of an unusual move because usually the cells collection is accessed from the worksheet object. To do this, I use the cells collection from the application object. I then decide to add column headings to the first row. An example of type information is shown here: Without using this switch, type information is written to the first line of the CSV file, and it will confuse things. If you are not planning on reconstituting the object, but instead you want to create a traditional CSV file, it is important to include the notypeinformation switch. ![]() I then piped the object to the Export-Csv cmdlet. I used the Get-Process cmdlet to retrieve information about all the processes running on my computer. To create an interesting CSV file to work with for today’s Hey, Scripting Guy! Blog post, I used Windows PowerShell and I exported process information. ![]() $Excel = New-Object -ComObject excel.application The complete Import-ProcessDataToExcel.ps1 script is shown here. I wrote the Import-ProcessDataToExcel.ps1 script to illustrate importing specific columns of data into a newly created Microsoft Excel spreadsheet. JM, email that is sent to is not something I can ignore. Soon, American football will begin, and there will be another sport I can ignore while I sit quietly beside the fireplace and read Shakespeare. The leaves have not started changing colors yet, and the temperature at night is only mid 60s Fahrenheit (18 degrees Celsius), but it is a giant step in the right direction. Well, for the first time in more than four months, I have the windows open and the air conditioner turned off. I would love to be able to copy columns from a CSV file and save the data into an honest to goodness Microsoft Excel spreadsheet and avoid all the prompts. When I have to work on a large number of CSV files, this process becomes loathsome. There must be a dozen warnings and prompts I have to navigate. Though it is true that I can open a CSV file in Microsoft Excel, it is rather annoying when it comes to saving the file. For that I prefer to use Microsoft Excel. However, for all its grace and elegance, I will admit that reading a CSV file with the human eye is not the easiest process. And I do not have to eat up several gigabytes worth of space to install Microsoft Office, which is not supported on a server operating system anyway. One reason I like CSV files is that I can easily work with them on server products. And working with a CSV file is, at its core, simple text manipulation. I have enjoyed using Windows PowerShell to do text manipulation. The files are small and simple to manipulate. It is almost universally accepted and is still widely used. To me, it seems as if that was the best way to store data. Hey, Scripting Guy! I love comma-separated value (CSV) files. Summary: Join the Microsoft Scripting Guys as they show you how to copy CSV columns to a Microsoft Excel spreadsheet by using Windows PowerShell. ![]()
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