Free online CSV column deleter. Just upload your CSV file in the form below, specify the columns to remove, and it will automatically remove the specified columns from the data. In the tool options, you can enter just one column, several columns, or a range of columns that you want to delete. Also, you can remove unnecessary empty lines and comments from the CSV file. Created by programmers from team Browserling.
Free online CSV column deleter. Just upload your CSV file in the form below, specify the columns to remove, and it will automatically remove the specified columns from the data. In the tool options, you can enter just one column, several columns, or a range of columns that you want to delete. Also, you can remove unnecessary empty lines and comments from the CSV file. Created by programmers from team Browserling.
This tool removes unwanted columns from the given CSV file. It allows you to quickly clean your CSV data, remove duplicate columns, and keep only the relevant information. There are two ways to remove columns from a CSV. The first method for column removal is by their position. The first column (on the left) in a CSV file has the position "1", the second has the position "2", the third – "3", and so on. You can identify the position of the unwanted column in the options by this number and exclude it from the output. If a CSV file has many columns, then you can get lost in column positions. To avoid mistakes, the positions of the last and second-to-last columns use negative position values: the last column is "-1", the second-to-last is "-2", and so on. Multiple columns can be removed simultaneously as well. For example, to remove the first and last columns, you can enter "1, -1" in the options, or to remove the second and fifth columns, you can enter "2, 5" in the options. Additionally, you can input a range of columns, such as "1-3", which results in the removal of columns 1, 2, and 3. Another method for column removal is by their header (also known as column name). The header is located on the first row of each column. By entering the top value, you can remove the entire column. If there are duplicate headers in the CSV, you can choose the option to delete all header copies and remove all columns with the same name. By default, the specified column in the options is completely removed from the output data. However, by activating the "Preserve Column Structure" option, you can delete only the values within the columns, leaving empty fields (separated by two commas) in their place. Additionally, you can clear the output data from comments by activating the "Clean Data from Comments" option. If certain records are marked as comments and start with a specific symbol, such as "#" or "//", you can specify this symbol in the options. Also, you can clear the output data from empty rows that are often used to visually separate data into logical groups by using the "Clean Data from Empty Rows" checkbox. Csv-abulous!
This tool removes unwanted columns from the given CSV file. It allows you to quickly clean your CSV data, remove duplicate columns, and keep only the relevant information. There are two ways to remove columns from a CSV. The first method for column removal is by their position. The first column (on the left) in a CSV file has the position "1", the second has the position "2", the third – "3", and so on. You can identify the position of the unwanted column in the options by this number and exclude it from the output. If a CSV file has many columns, then you can get lost in column positions. To avoid mistakes, the positions of the last and second-to-last columns use negative position values: the last column is "-1", the second-to-last is "-2", and so on. Multiple columns can be removed simultaneously as well. For example, to remove the first and last columns, you can enter "1, -1" in the options, or to remove the second and fifth columns, you can enter "2, 5" in the options. Additionally, you can input a range of columns, such as "1-3", which results in the removal of columns 1, 2, and 3. Another method for column removal is by their header (also known as column name). The header is located on the first row of each column. By entering the top value, you can remove the entire column. If there are duplicate headers in the CSV, you can choose the option to delete all header copies and remove all columns with the same name. By default, the specified column in the options is completely removed from the output data. However, by activating the "Preserve Column Structure" option, you can delete only the values within the columns, leaving empty fields (separated by two commas) in their place. Additionally, you can clear the output data from comments by activating the "Clean Data from Comments" option. If certain records are marked as comments and start with a specific symbol, such as "#" or "//", you can specify this symbol in the options. Also, you can clear the output data from empty rows that are often used to visually separate data into logical groups by using the "Clean Data from Empty Rows" checkbox. Csv-abulous!
In this example, we input a two-column CSV file containing information about various flowers. The first column is the flower's name and the second column is the flower's ID from our database. As we're working with just the flower names, we no longer need the ID information. To remove the "Id" column, we enter its position in the options (set it to "2") creating a new CSV output file that contains just the desired flower names as a single column and nothing else.
In this example, we're working with a CSV dataset that includes information about chemical elements, such as their names, symbols, and atomic numbers. Unfortunately, due to a program error during data export, some columns were duplicated several times. To fix this mess and get a single instance of each column, we delete all repeated columns at once by their positions. We get rid of columns 2, 3, 4, and 6, using the notation "2-4, -1", which is the same as "2, 3, 4, 6". The "2-4" here means a range and "-1" is a quick code for the last, 6th column (think of counting backwards from the end). As a result, we get a perfectly clean CSV with three unique columns.
In this example, we use the option to delete CSV columns by header. The header is the top row of the CSV file and it includes comma-separated names of the data columns. We load data about coffee drinks in the input and specify the header "milk" in the options for removal. As the "milk" column appears twice, to remove both column copies with this name, we activate the "Delete All Header Copies" option. Additionally, we activate the "Preserve Column Structure" option, which instead of completely erasing the columns from the output, sets all values in the column to empty values (empty values are separated by two adjacent commas). And just to make everything tidy and neat, we clean up the output data by removing empty lines and comments starting with the double-slash symbol "//".
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!
Edit the contents of a CSV file in a neat editor.
Remove duplicate rows in a CSV file.
Display detailed information about a CSV file.
Convert a CSV file to an HTML table.
Convert an HTML table to a CSV file.
Convert a CSV file to a Markdown table.
Convert a Markdown table to a CSV file.
Draw an ASCII table from CSV data.
Draw an ANSI table from CSV data.
Draw a Unicode table from CSV data.
Convert CSV to a PDF document.
Extract data from a PDF and create a CSV file.
Create a screenshot of CSV data.
Draw a CSV file as a PNG, JPG or GIF picture.
Extract data from an image and create a CSV file.
Convert a CSV file to an Excel spreadsheet.
Convert an Excel spreadsheet to a CSV file.
Convert a CSV file to a vCard file.
Convert a vCard file to a CSV file.
Convert CSV to a LaTeX table.
Generate SQL insert queries from a CSV file.
Create a CSV file from SQL query results.
Convert a CSV file to a qCSV (quoted CSV) file.
Convert a qCSV (quoted CSV) file to a CSV file.
Convert a CSV file to an INI file.
Convert an INI file to a CSV file.
Convert a CSV file to a JSONL (JSON Lines) file.
Convert a JSONL (JSON Lines) file to a CSV file.
Convert a CSV file to a plain text file.
Convert a plain text file to a CSV file.
Convert a CSV file to a null-separated values file (0SV).
Convert a null-separated values file (0SV) to a CSV file.
Convert a CSV file to a semicolon-separated file (SSV).
Convert a semicolon-separated file (SSV) to a CSV file.
Convert a CSV file to a hash-separated file (HSV).
Convert a hash-separated file (HSV) to a CSV file.
Convert a CSV file to a pipe-separated file (PSV).
Convert a pipe-separated file (PSV) to a CSV file.
Create an SQLite database from the given CSV file.
Export tables from an SQLite database as CSV files.
Convert a CSV file to a GeoJSON file.
Convert a GeoJSON file to a CSV file.
Merge together two or more CSV files.
Visually show the differences between two CSV files.
Run the diff algorithm on two CSV files.
Find CSV cells that contain certain data.
Return data in a CSV file that matches a pattern.
Extract a slice from a CSV file.
Cut a fragment from a CSV file.
Move CSV columns to the left or right.
Move CSV data rows up or down.
Sort the data in one or more CSV rows.
Randomly change the positions of CSV columns.
Randomly change the order of CSV rows.
Randomly change the order of all CSV values.
Change the name of CSV columns.
Generate a random CSV of any size.
Generate a CSV file that contains nothing.
Generate a large CSV file for testing.
Generate a custom CSV file with m rows and n columns.
Remove CSV columns that are completely empty.
Remove CSV rows that are completely empty.
Remove all fields in a CSV file that are empty.
Remove all empty lines in a CSV file.
Delete the comma separator from CSV files.
Delete extra commas around CSV values.
Delete comments (lines starting with # or //) from CSV files.
Delete the column header from a CSV file.
Delete the first line from a CSV file.
Minify a CSV file and remove unnecessary whitespaces.
Reduce the file size of a CSV file.
Change the character encoding of a CSV file to UTF8 or ISO-8859-1.
Add extra spaces between CSV columns.
Convert a CSV file to an m-by-n matrix.
Convert a CSV file to an array of arrays of fields.
Convert an array of arrays of fields to a CSV file.
Create a list from one or more CSV columns.
Create a list from one or more CSV rows.
Create an array from one or more CSV columns.
Create an array from one or more CSV rows.
Find the number of rows and columns of a CSV file.
Find the number of columns in a CSV file.
Find the number of rows in a CSV file.
Find the sum of CSV columns.
Find the sum of CSV rows.
Find the average value of CSV columns.
Find the average value of CSV rows.
Use different colors for CSV data, quotes, and commas.
Animate CSV data by showing column after column.
Automatically fix a broken CSV.
Introduce random errors to a CSV file for fuzz testing.
Hide personal or sensitive information in a CSV file.
Mask data in a CSV file.
Hide a secret message in a CSV.
Encrypt a CSV file and hide information in it.
Decrypt a previously encrypted CSV file and make it readable.
Create a visual drawing that shows the CSV structure.
Create a new CSV file in the browser.
Distort a CSV file by infusing it with Zalgo characters.
Neutralize the chaotic Zalgo and restore CSV integrity.
Preview the contents of a CSV file in an interactive editor.
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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!
