Created by Browserling
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.
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!
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.
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.
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.
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!
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