Reformat column names in a csv with PowerShell - powershell

Question

Question
How do I reformat an unknown CSV column name according to a formula or subroutine (e.g. rename column " Arbitrary Column Name " to "Arbitrary Column Name" by running a trim or regex or something) while maintaining data?
Goal
I'm trying to more or less sanitize columns (the names) in a hand-produced (or at least hand-edited) csv file that needs to be processed by an existing PowerShell script. In this specific case, the columns have spaces that would be removed by a call to [String]::Trim(), or which could be ignored with an appropriate regex, but I can't figure a way to call or use those techniques when importing or processing a CSV.
Short Background
Most files and columns have historically been entered into the CSV properly, but recently a few columns were being dropped during processing; I determined it was because the files contained a space (e.g., Select-Object was being told to get "RFC", but Import-CSV retrieved "RFC ", so no matchy-matchy). Telling the customer to enter it correctly by hand (though preferred and much simpler) is not an option in this case.
Options considered
I could manually process the text of the file, but that is a messy and error prone way to re-invent the wheel. I wonder if there's a syntax with Select-Object that would allow a softer match for column names, but I can't find that info.
The closest I have come conceptually is using a calculated property in the call to Select-Object to rename the column, but I can only find ways to rename a known column to another known column. So, this would require enumerating the columns and matching them exactly (preferred) or a softer match (like comparing after trimming or matching via regex as a fallback) with expected column names, then creating a collection of name mappings to use in constructing calculated properties from that information to select into a new object.
That seems like it would work, but more it's work than I'd prefer, and I can't help but hope that there's a simpler way I haven't been able to find via Google. Maybe I should try Bing?

Answer 1

Sample File
Let's say you have a file.csv like this:
" RFC "
"1"
"2"
"3"
Code
Now try to run the following:
$CSV = Get-Content file.csv -First 2 | ConvertFrom-Csv
$FixedHeaders = $CSV.PSObject.Properties.Name.Trim(' ')
Import-Csv file.csv -Header $FixedHeaders |
Select-Object -Skip 1 -Property RFC
Output
You will get this output:
RFC
---
1
2
3
Explanation
First we use Get-Content with parameter -First 2 to get the first two lines. Piping to ConvertFrom-Csv will allow us to access the headers with PSObject.Properties.Name. Use Import-Csv with the -Header parameter to use the trimmed headers. Pipe to Select-Object and use -Skip 1 to skip the original headers.

Answer 2

I'm not sure about comparisons in terms of efficiency, but I think this is a little more hardened, and imports the CSV only once. You might be able to use #lahell's approach and Get-Content -raw, but this was done and it works, so I'm gonna leave it to the community to determine which is better...
#import the CSV
$rawCSV = Import-Csv $Path
#get actual header names and map to their reformatted versions
$CSVColumns = #{}
$rawCSV |
Get-Member |
Where-Object {$_.MemberType -eq "NoteProperty"} |
Select-Object -ExpandProperty Name |
Foreach-Object {
#add a mapping to the original from a trimmed and whitespace-reduced version of the original
$CSVColumns.Add(($_.Trim() -replace '(\s)\s+', '$1'), "$_")
}
#Create the array of names and calculated properties to pass to Select-Object
$SelectColumns = #()
$CSVColumns.GetEnumerator() |
Foreach-Object {
$SelectColumns += {
if ($CSVColumns.values -contains $_.key) {$_.key}
else { #{Name = $_.key; Expression = $CSVColumns[$_.key]} }
}
}
$FormattedCSV = $rawCSV |
Select-Object $SelectColumns
This was hand-copied to a computer where I don't have the rights to run it, so there might be an error - I tried to copy it correctly

Answer 3

You can use gocsv https://github.com/DataFoxCo/gocsv to see the headers of the csv, you can then rename the headers, behead the file, swap columns, join, merge, any number of transformations you want