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csv column swapper

world's simplest csv tool

Free online CSV column swapper. Just upload your CSV file in the form below, specify the columns to swap, and the tool will automatically change the positions of the specified columns in the output file. In the tool options, you can specify the column positions or names that you want to swap, as well as fix incomplete data and optionally remove empty records and records that have been commented out. Created by programmers from team Browserling.

᠎᠎᠎          Tool Options

Swap-from Column

Position of the first column
you want to swap.
Header of the first column
you want to swap.

Swap-to Column

Position of the second column
you want to swap.
Header of the second column
you want to swap.

Incomplete Data

Ignore or fill incomplete CSV
data with empty symbols or
a custom symbol.
Specify a custom symbol to
fill incomplete CSV data with.

Comments and Empty Lines

Specify the character used to
start comments in the input
CSV (and if needed remove
them via checkbox above).
Do not include empty
lines in the output data.

What is a csv column swapper?

This tool reorganizes CSV data by swapping the positions of its columns. Swapping columns can enhance the readability of a CSV file by placing frequently used data together or in the front for easier data comparison and editing. For example, you can swap the first column with the last or swap the second column with the third. To swap columns based on their positions, select the "Set Column Position" mode and enter the numbers of the "from" and "to" columns to be swapped in the first and second blocks of options. For example, if you have a CSV file with four columns "1, 2, 3, 4" and swap columns with positions "2" and "4", the output CSV will have columns in the order: "1, 4, 3, 2". To quickly swap the first column with the last one, you can use positions "1" (first) and "-1" (last). As an alternative to positions, you can swap columns by specifying their headers (column names on the first row of data). If you enable this mode in the options, then you can enter the column names like "location" and "city", and the program will swap these two columns. If any of the specified columns have incomplete data (some fields are missing), you can choose to skip such data or fill the missing fields with empty values or custom values (specified in the options). Additionally, you can specify the symbol used for comments in the CSV data, such as "#" or "//". If you don't need the commented lines in the output, you can remove them by using the "Delete Comments" checkbox. You can also activate the checkbox "Delete Empty Lines" to get rid of empty lines that contain no visible information. Csv-abulous!


Csv column swapper examples

Click to try

Move the Key Column to the First Position

In this example, we use our CSV column swapping tool to bring the most important information to the first column. As we're planning to go on vacation soon, in the input of the tool, we load data about national parks that include their names and locations. To decide, which is the closest park to us, we need to see the park's location first, therefore, we swap the first and second data columns so that the "location" column is at the beginning of the CSV data.

park_name,location Yellowstone,Wyoming Yosemite,California Grand Canyon,Arizona Rocky Mountain,Colorado Zion Park,Utah
location,park_name Wyoming,Yellowstone California,Yosemite Arizona,Grand Canyon Colorado,Rocky Mountain Utah,Zion Park
Required options
These options will be used automatically if you select this example.
Position of the first column
you want to swap.
Position of the second column
you want to swap.
Ignore or fill incomplete CSV
data with empty symbols or
a custom symbol.
Specify a custom symbol to
fill incomplete CSV data with.
Specify the character used to
start comments in the input
CSV (and if needed remove
them via checkbox above).
Do not include empty
lines in the output data.

Reorganize Columns in Vitamins CSV

In this example, a lab intern made a mistake and created a corrupted CSV file with mixed-up columns and missing data. To fix the file, we swap the columns based on the headers "Vitamin" and "Function" so that the "Vitamin" column becomes the first in the output data. We also fill the incomplete CSV data by adding a custom asterisk "*" symbol in place of missing values.

Function,Fat-Soluble,Vitamin,Sources Supports vision,Fat-Soluble,A,Carrots Immune function,Water-Soluble,C,Citrus fruits Bone health,Fat-Soluble,D,Fatty fish Antioxidant,Fat-Soluble,E,Nuts Blood clotting,Fat-Soluble,K,Leafy greens Energy production,Water-Soluble,B1 Energy production,Water-Soluble,B2 Energy production,Water-Soluble,B3,Meat Protein metabolism,Water-Soluble,B6,Poultry Nervous system,Water-Soluble,B12,Meat
Vitamin,Fat-Soluble,Function,Sources A,Fat-Soluble,Supports vision,Carrots C,Water-Soluble,Immune function,Citrus fruits D,Fat-Soluble,Bone health,Fatty fish E,Fat-Soluble,Antioxidant,Nuts K,Fat-Soluble,Blood clotting,Leafy greens B1,Water-Soluble,Energy production,* B2,Water-Soluble,Energy production,* B3,Water-Soluble,Energy production,Meat B6,Water-Soluble,Protein metabolism,Poultry B12,Water-Soluble,Nervous system,Meat
Required options
These options will be used automatically if you select this example.
Header of the first column
you want to swap.
Header of the second column
you want to swap.
Ignore or fill incomplete CSV
data with empty symbols or
a custom symbol.
Specify a custom symbol to
fill incomplete CSV data with.
Specify the character used to
start comments in the input
CSV (and if needed remove
them via checkbox above).
Do not include empty
lines in the output data.

Place Columns Side by Side for Analysis

In this example, we change the order of columns in a CSV dataset to have the columns essential for analysis adjacent to each other. We match the "ScreenSize" column by its name and place it in the second-to-last position "-2". This groups the "ScreenSize" and "Price" columns together, allowing us to easily compare and choose the phone we want to buy. We also remove empty lines and specify that lines starting with the "#" symbol are comments and should be left as is.

Brand,Model,ScreenSize,OS,Price Apple,iPhone 15 Pro Max,6.7″,iOS,$1299 Samsung,Galaxy S23 Ultra,6.8″,Android,$1199 Google,Pixel 7 Pro,6.4″,Android,$899 #OnePlus,11 Pro,6.7″,Android,$949 Xiaomi,13 Ultra,6.6″,Android,$849
Brand,Model,OS,ScreenSize,Price Apple,iPhone 15 Pro Max,iOS,6.7″,$1299 Samsung,Galaxy S23 Ultra,Android,6.8″,$1199 Google,Pixel 7 Pro,Android,6.4″,$899 #OnePlus,11 Pro,6.7″,Android,$949 Xiaomi,13 Ultra,Android,6.6″,$849
Required options
These options will be used automatically if you select this example.
Header of the first column
you want to swap.
Position of the second column
you want to swap.
Ignore or fill incomplete CSV
data with empty symbols or
a custom symbol.
Specify a custom symbol to
fill incomplete CSV data with.
Specify the character used to
start comments in the input
CSV (and if needed remove
them via checkbox above).
Do not include empty
lines in the output data.

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/swap-csv-columns?input=park_name%2Clocation%0AYellowstone%2CWyoming%0AYosemite%2CCalifornia%0AGrand%20Canyon%2CArizona%0ARocky%20Mountain%2CColorado%0AZion%20Park%2CUtah&use-column-number-from=true&column-number-from=1&use-column-number-to=true&column-number-to=2&incomplete-format=set-custom-value&custom-value=x&remove-comments=false&comment-character=%2523&remove-empty-lines=false

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