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sakshigaur
New Member

How to read 2nd column of a csv when other columns contain comma with in

How to read 2nd column of a csv when other columns contain comma with in.

 

This is how my csv file looks:

ModelItemName,ItemName,TariffNumber,TariffNumberCleansed,PGACode

"Almond Butter, Mix KS Europe (12/27 oz) ITEM# 12","Almond Butter","500",170,"CFI,CFITest"

"Almond Butter KS Canada (12/27 oz)","Almond Butter","500",170,"CFI,CFITest"

 

and I want the values of 2nd column ItemName

1 ACCEPTED SOLUTION

Accepted Solutions
grantjenkins
Super User
Super User

If your CSV data was always coming through to your flow with double quotes around the data in the first and second columns (as what you've shown) then this might be a bit simpler (but would need to confirm the double quotes always coming through).

 

See full flow below. I'll go into each of the actions.

grantjenkins_0-1699111447423.png

 

Compose is your data after you're retrieved (decoded) it.

grantjenkins_1-1699111491435.png

 

Filter array splits the data by new line (or carriage return and new line) and removes the first row, then removes any empty lines of data you might have.

//Body (one of these depending on your data)
//If just new line
skip(split(outputs('Compose'), decodeUriComponent('%0A')), 1)

//if carriage return and new line
skip(split(outputs('Compose'), decodeUriComponent('%0D%0A')), 1)

//Condition
item()

grantjenkins_2-1699111682371.png

 

Select uses the output from the Filter array and the following expression.

//Get the item between the 3rd and 4th double quotes.

slice(item(), add(nthIndexOf(item(), '"', 3), 1), nthIndexOf(item(), '"', 4))

grantjenkins_3-1699111783522.png

 

And the output after running the flow.

grantjenkins_4-1699111823335.png


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4 REPLIES 4
Rhiassuring
Super User
Super User

Well, if it's always going to look just as you've laid it out here, you might want to try this way as opposed to other ways where you'd need to cleanse the whole thing via script in Excel first:

 

Here's the whole thing:

 

Rhiassuring_2-1699056321425.png

 

txtCSV - this is just me copying & pasting the text you laid out above, so that I have it.

 

New Line - initialize a string variable called txtNewLine and just ... hit enter in the field. That'll capture a "new line" that you can use.

 

Split By New Line & Skip Headers:  We're just using an expression to split by txtNewLine, and skip the first row (which is your headers from the csv.) skip(split(variables('txtCSV'),variables('txtNewLine')),1)

 

Create an Apply to Each that points to the Outputs from the Split By New Line & Skip Headers.

 

Find Position of Second Item Start -- I used a compose for this  but I could've found the Text Position action.. ehhh... you have options. 🙂  I am using this expression, because we are only getting the FIRST instance, to identify the second item.  indexOf(item(),'","')

 

Trimmed Position - I'm just adding 3 to make up for the "," characters.

 

Substring -- we're using the output from the last Compose for the starting position, and then no length. This trims the text up to this point. 


Position of Second Item Stop --  Same as the first Find Position, except we're pointing the Text at the previous Substring action. This time, though, we want to start at the position of 0 and the length will be the output from the Compose - Position of Second Item Stop.

 

Rhiassuring_3-1699056768326.png

 

 

R

 

 

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lbendlin
Multi Super User
Multi Super User

Unfortunately I don't think that will work for them, since they have embedded commas.

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Did this answer your question? Please mark it as the solution.
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grantjenkins
Super User
Super User

If your CSV data was always coming through to your flow with double quotes around the data in the first and second columns (as what you've shown) then this might be a bit simpler (but would need to confirm the double quotes always coming through).

 

See full flow below. I'll go into each of the actions.

grantjenkins_0-1699111447423.png

 

Compose is your data after you're retrieved (decoded) it.

grantjenkins_1-1699111491435.png

 

Filter array splits the data by new line (or carriage return and new line) and removes the first row, then removes any empty lines of data you might have.

//Body (one of these depending on your data)
//If just new line
skip(split(outputs('Compose'), decodeUriComponent('%0A')), 1)

//if carriage return and new line
skip(split(outputs('Compose'), decodeUriComponent('%0D%0A')), 1)

//Condition
item()

grantjenkins_2-1699111682371.png

 

Select uses the output from the Filter array and the following expression.

//Get the item between the 3rd and 4th double quotes.

slice(item(), add(nthIndexOf(item(), '"', 3), 1), nthIndexOf(item(), '"', 4))

grantjenkins_3-1699111783522.png

 

And the output after running the flow.

grantjenkins_4-1699111823335.png


----------------------------------------------------------------------
If I've answered your question, please mark the post as Solved.
If you like my response, please consider giving it a Thumbs Up.

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