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CSV Column Replacer

World's Simplest CSV Tool

Free online CSV column replacer. Just upload your CSV file in the form below, paste the new column in the options, and it will automatically replace the selected column in your CSV. In the tool options, you can specify the position or name of the column that you want to replace and additionally, you can clean up the CSV data from comments and empty lines, and fix incomplete CSV data. Created by programmers from team Browserling.

CSV Column Replacer

World's Simplest CSV Tool

Free online CSV column replacer. Just upload your CSV file in the form below, paste the new column in the options, and it will automatically replace the selected column in your CSV. In the tool options, you can specify the position or name of the column that you want to replace and additionally, you can clean up the CSV data from comments and empty lines, and fix incomplete CSV data. Created by programmers from team Browserling.

᠎᠎᠎          Tool Options

New Column

Specify the replacement column.
Use the same number of rows
as in the input CSV file.

Column To Replace

Enter the column number
(starting with 1), that you want
to replace with the new column.
Enter the column header, that
you want to replace with the
new column.
If there are multiple columns
with the same header, then
replace every repeated column
with the new column.

Handling of Incomplete CSV

Output format for an incomplete
CSV file with missing fields.
If you choose to fill an
incomplete CSV with custom
values, use this value to
fill in the missing fields.

CSV Cleanup

Specify the symbol that starts
comments in the input CSV.
Remove lines with no values
from the input CSV.

What Is a CSV Column Replacer?

This tool replaces a specific column in a CSV file with a new one, providing a quick way to correct outdated or inaccurate information in your CSV. To replace one column with another, you need to upload a CSV file as the input and specify the replacement column in the options. When you enter the replacement column, make sure that the height of the column matches the height of the input data to avoid incomplete data. When a column is replaced, all other columns are left unchanged. You can also replace the original column with two, three, or more new columns by specifying them in the standard CSV format in the options. You can identify the column for replacement in two ways – you can enter the column number or the column name. Column numbering starts from 1, so to replace the first CSV column with a new one, use the number "1"; to replace the second column, use "2", and so on. If you want to replace the last CSV column, you can use negative numbering that counts backwards. For example, "-1" is the last column, "-2" is the second column from the end, etc. In the column selection mode by name, you can specify the CSV column's header value (it's the value in the first row of the column). For example, the column header could be "color". In rare cases when there are multiple columns with the same name in the CSV, you can enable the "Replace All Matches" option to replace all duplicate columns with the new column. In the next options block, there are settings for handling incomplete CSV data. If some fields in the CSV are missing, you can choose one of the following options: fill missing fields with empty values or fill missing fields with custom values (the custom values can be specified next to this option). Finally, in the last section of the options, you can remove comment lines from the input CSV by entering the symbol that starts comments (such as "#" or "//") and delete empty lines from the input CSV. Csv-abulous!

What Is a CSV Column Replacer?

This tool replaces a specific column in a CSV file with a new one, providing a quick way to correct outdated or inaccurate information in your CSV. To replace one column with another, you need to upload a CSV file as the input and specify the replacement column in the options. When you enter the replacement column, make sure that the height of the column matches the height of the input data to avoid incomplete data. When a column is replaced, all other columns are left unchanged. You can also replace the original column with two, three, or more new columns by specifying them in the standard CSV format in the options. You can identify the column for replacement in two ways – you can enter the column number or the column name. Column numbering starts from 1, so to replace the first CSV column with a new one, use the number "1"; to replace the second column, use "2", and so on. If you want to replace the last CSV column, you can use negative numbering that counts backwards. For example, "-1" is the last column, "-2" is the second column from the end, etc. In the column selection mode by name, you can specify the CSV column's header value (it's the value in the first row of the column). For example, the column header could be "color". In rare cases when there are multiple columns with the same name in the CSV, you can enable the "Replace All Matches" option to replace all duplicate columns with the new column. In the next options block, there are settings for handling incomplete CSV data. If some fields in the CSV are missing, you can choose one of the following options: fill missing fields with empty values or fill missing fields with custom values (the custom values can be specified next to this option). Finally, in the last section of the options, you can remove comment lines from the input CSV by entering the symbol that starts comments (such as "#" or "//") and delete empty lines from the input CSV. Csv-abulous!


CSV Column Replacer Examples

Click to try!
click me

Replace the Third Column in CSV Data

In this example, we load a CSV file containing data about trees and replace one of its columns. We remove the third column, which contains information about tree height in meters (m) and replace it with a new column containing the height in feet (ft). The new column that we specified in the options has the same height as the input CSV, so the output CSV is fully filled with all the values.

tree,leaf_type,height_range Oak,Deciduous,15-30m Pine,Evergreen,20-50m Maple,Deciduous,10-25m Palm,Evergreen,3-30m Willow,Deciduous,10-20m
tree,leaf_type,height_range Oak,Deciduous,49-98ft Pine,Evergreen,66-164ft Maple,Deciduous,33-82ft Palm,Evergreen,10-98ft Willow,Deciduous,33-66ft
Required options
These options will be used automatically if you select this example.
Specify the replacement column.
Use the same number of rows
as in the input CSV file.
Enter the column number
(starting with 1), that you want
to replace with the new column.
Enter the column header, that
you want to replace with the
new column.
If there are multiple columns
with the same header, then
replace every repeated column
with the new column.
Output format for an incomplete
CSV file with missing fields.
If you choose to fill an
incomplete CSV with custom
values, use this value to
fill in the missing fields.
Specify the symbol that starts
comments in the input CSV.
Remove lines with no values
from the input CSV.
click me

Replace One CSV Column with Two New Ones

In this example, we're working with chemistry data. We created a CSV file containing various chemical substances, their melting points, and formulas but unfortunately, we used a European reference book and entered the melting points in Celsius degrees and not Fahrenheit degrees. Additionally, we forgot to include the boiling point data. To fix this issue, we replace the incorrect melting point data with the correct one and add the boiling point data in one go. We achieve this by replacing the original "melting_point" column with two new columns: "melting_point" and "boiling_point" (both entered in the options in a comma-separated format). As a result, instead of the incorrect "melting_point" column measured in degrees Celsius, we get two output columns "melting_point" and "boiling_point" measured in Fahrenheit.

substance,melting_point,formula Water,0.00 °C,H2O Ethanol,-114.1 °C,C2H5OH Sodium Chloride,801 °C,NaCl Iron,1538 °C,Fe Gold,1064 °C,Au
substance,melting_point,boiling_point,formula Water,32.00 °F,211.96 °F,H2O Ethanol,−173.45 °F,172.81 °F,C2H5OH Sodium Chloride,1473.3 °F,2669 °F,NaCl Iron,2800 °F,5182 °F,Fe Gold,1947.52 °F,5378 °F,Au
Required options
These options will be used automatically if you select this example.
Specify the replacement column.
Use the same number of rows
as in the input CSV file.
Enter the column number
(starting with 1), that you want
to replace with the new column.
Enter the column header, that
you want to replace with the
new column.
If there are multiple columns
with the same header, then
replace every repeated column
with the new column.
Output format for an incomplete
CSV file with missing fields.
If you choose to fill an
incomplete CSV with custom
values, use this value to
fill in the missing fields.
Specify the symbol that starts
comments in the input CSV.
Remove lines with no values
from the input CSV.
click me

Fix a CSV by Replacing Its Column

In this example, we use our CSV column replacement tool to fix a corrupted CSV file containing a schedule of daily activities. Instead of two separate "name" and "surname" columns, the input CSV has two duplicate "surname" columns. We enable the mode of matching a column by its title and enter the CSV header "surname" in the options. This way, we match the first "surname" column (the "Replace All Matches" option is disabled – if it was enabled, then all columns with this header would be replaced). We then replace this first "surname" column with a new one titled "name". Additionally, to clean and correct the file, we activate the options to remove comments and empty lines and fill in the missing fields with the custom value "␣".

activity,time,surname,surname Swimming,08:30,Anderson,Anderson Football,10:45,Miller,Miller Dancing,14:15,Jones,Jones Painting,09:00,Davis,Davis Chess,12:30,Johnson #Karate,09:30
activity,time,name,surname Swimming,08:30,Emily,Anderson Football,10:45,Nathan,Miller Dancing,14:15,Grace,Jones Painting,09:00,William,Davis Chess,12:30,Ava,␣
Required options
These options will be used automatically if you select this example.
Specify the replacement column.
Use the same number of rows
as in the input CSV file.
Enter the column header, that
you want to replace with the
new column.
If there are multiple columns
with the same header, then
replace every repeated column
with the new column.
Output format for an incomplete
CSV file with missing fields.
If you choose to fill an
incomplete CSV with custom
values, use this value to
fill in the missing fields.
Specify the symbol that starts
comments in the input CSV.
Remove lines with no values
from the input CSV.

Pro tips Master online csv tools

You can pass input to this tool via ?input query argument and it will automatically compute output. Here's how to type it in your browser's address bar. Click to try!

https://onlinetools.com/csv/replace-csv-columns?input=tree%2Cleaf_type%2Cheight_range%0AOak%2CDeciduous%2C15-30m%0APine%2CEvergreen%2C20-50m%0AMaple%2CDeciduous%2C10-25m%0APalm%2CEvergreen%2C3-30m%0AWillow%2CDeciduous%2C10-20m&replace-column=height_range%250A49-98ft%250A66-164ft%250A33-82ft%250A10-98ft%250A33-66ft&use-column-number=true&column-number=3&use-column-name=false&column-name=name&replace-select-all=false&incomplete-format=set-custom-value&custom-value=x&remove-comments=false&comment-character=%2523&remove-empty-lines=false

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We're Browserling — a friendly and fun cross-browser testing company powered by alien technology. At Browserling our mission is to make people's lives easier, so we created this collection of CSV tools. Our tools have the simplest user interface that doesn't require advanced computer skills and they are used by millions of people every month. Our CSV tools are actually powered by our web developer tools that we created over the last couple of years. Check them out!

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