How to remove rows where all columns are empty in csv?

Introduction

Easily remove rows that contain empty columns in CSV without using a formula. Only upload your CSV file and get results in seconds. Effortless & efficient processing - try it now!

How to remove rows where all columns are empty in csv?

How to remove rows where all columns are empty in csv?

Removing rows from a large file is not a very simple matter. For example, I have a csv file with millions of lines, storing access logs, some lines are completely empty, I need to remove these lines, and then do data analysis. How can I do it?

Method A:Excel or Google Spreadsheet

You can use a spreadsheet program such as Microsoft Excel or Google Sheets to remove the rows in your CSV file where all columns are empty.

Here's how you could do it in Microsoft Excel:

  • Open the CSV file in Microsoft Excel.
  • Select the data in the file and sort it based on the first column.
  • Select the entire row of the first empty cell, press "Ctrl + Shift + Down" to select all the rows below the first empty cell.
  • Right-click and select "Delete Row" to remove the empty rows.
  • Save the file as a CSV file.

You can use a spreadsheet program such as Microsoft Excel or Google Sheets to remove the rows in your CSV file where all columns are empty.

Here's how you could do it on Google Sheets:

  • Open the CSV file in Google Sheets.
  • Select the data in the file and sort it based on the first column.
  • Select the entire row of the first empty cell, press "Ctrl + Shift + Down" to select all the rows below the first empty cell.
  • Right-click and select "Delete row" to remove the empty rows.
  • Download the file as a CSV file.

Both of these methods will allow you to remove the rows in your CSV file where all columns are empty without having to write any code.

Method B:Python

If your CSV file is too big for Excel and it's too slow, you can use a scripting language such as Python to remove the rows where all columns are empty. Here's an example of how you could do it:


import csv

with open("input.csv", "r") as f_input:
    reader = csv.reader(f_input)
    with open("output.csv", "w") as f_output:
        writer = csv.writer(f_output)
        for row in reader:
            if any(row):
                writer.writerow(row)

This code uses the csv module in Python to read the contents of the input file input.csv into memory and then writes only the rows where at least one column is non-empty to the output file output.csv. The any function is used to check if any of the values in the current row are non-empty, and if so, the row is written to the output file.

Since this script is running in a scripting language, it can handle large files much faster than a spreadsheet program like Excel.

The best way:Use QuickTran function

  1. Visit our website and find the online tool.
  2. Open your csv file by clicking the "Choose File" button and selecting the file you want to change.
  3. Once the file has been uploaded,in seconds, you'll remove rows where all columns are empty.
  4. You can then download the files and save it to your computer.
Meet our more Transformation tools
Transform data: Text, Date/Time, Location, Json, etc.