Shuffle all rows of a csv file with Python

Shuffle all rows of a csv file with Python

You can shuffle all rows of a CSV file in Python using the csv module along with the random module. Here's how you can do it:

import csv import random def shuffle_csv(input_file, output_file): # Read the CSV file with open(input_file, 'r', newline='') as infile: reader = csv.reader(infile) rows = list(reader) # Shuffle the rows random.shuffle(rows) # Write the shuffled rows to a new CSV file with open(output_file, 'w', newline='') as outfile: writer = csv.writer(outfile) writer.writerows(rows) # Example usage: input_file = 'input.csv' output_file = 'output.csv' shuffle_csv(input_file, output_file)

In this script:

  • The shuffle_csv function takes the input file path and the output file path as arguments.
  • It reads the CSV file using csv.reader and converts it into a list of rows.
  • The random.shuffle function shuffles the rows randomly.
  • It then writes the shuffled rows to a new CSV file using csv.writer.

Replace 'input.csv' and 'output.csv' with the paths to your input and output CSV files, respectively.

This script will shuffle all rows of the input CSV file and save the shuffled rows to the output CSV file.

Examples

  1. How to shuffle all rows of a CSV file using Python

    • Description: Read the CSV file into a list, shuffle the list, and then write the shuffled list back to the CSV file.
    • Code:
      import csv import random # Read CSV file into a list of rows with open('input.csv', 'r') as file: reader = csv.reader(file) data = list(reader) # Shuffle the list of rows random.shuffle(data) # Write shuffled data back to CSV file with open('output.csv', 'w', newline='') as file: writer = csv.writer(file) writer.writerows(data)

  2. Python code to randomize all rows in a CSV file

    • Description: Use the pandas library to read the CSV file into a DataFrame, shuffle the DataFrame, and then write it back to a CSV file.
    • Code:
      import pandas as pd # Read CSV file into a DataFrame df = pd.read_csv('input.csv') # Shuffle the DataFrame df = df.sample(frac=1).reset_index(drop=True) # Write shuffled DataFrame back to CSV file df.to_csv('output.csv', index=False)

  3. How to randomize the order of rows in a CSV file with Python

    • Description: Use the csv module to read the CSV file into a list of dictionaries, shuffle the list, and then write it back to the CSV file.
    • Code:
      import csv import random # Read CSV file into a list of dictionaries with open('input.csv', 'r') as file: reader = csv.DictReader(file) data = list(reader) # Shuffle the list of dictionaries random.shuffle(data) # Write shuffled data back to CSV file with open('output.csv', 'w', newline='') as file: writer = csv.DictWriter(file, fieldnames=data[0].keys()) writer.writeheader() writer.writerows(data)

  4. Python script to shuffle all rows in a CSV file randomly

    • Description: Use the pandas library to read the CSV file into a DataFrame, shuffle the DataFrame, and then write it back to a CSV file while maintaining the column order.
    • Code:
      import pandas as pd # Read CSV file into a DataFrame df = pd.read_csv('input.csv') # Shuffle the DataFrame df = df.sample(frac=1).reset_index(drop=True) # Write shuffled DataFrame back to CSV file df.to_csv('output.csv', index=False)

  5. Shuffle CSV rows randomly with Python

    • Description: Use the csv module to read the CSV file into a list of lists, shuffle the list, and then write it back to the CSV file.
    • Code:
      import csv import random # Read CSV file into a list of lists with open('input.csv', 'r') as file: reader = csv.reader(file) data = list(reader) # Shuffle the list of lists random.shuffle(data) # Write shuffled data back to CSV file with open('output.csv', 'w', newline='') as file: writer = csv.writer(file) writer.writerows(data)

  6. How to randomize rows in a CSV file using Python script

    • Description: Use the pandas library to read the CSV file into a DataFrame, shuffle the DataFrame, and then write it back to a CSV file.
    • Code:
      import pandas as pd # Read CSV file into a DataFrame df = pd.read_csv('input.csv') # Shuffle the DataFrame df = df.sample(frac=1).reset_index(drop=True) # Write shuffled DataFrame back to CSV file df.to_csv('output.csv', index=False)

  7. Shuffle all rows of a CSV file in Python without pandas

    • Description: Use the csv module to read the CSV file into a list of lists, shuffle the list, and then write it back to the CSV file.
    • Code:
      import csv import random # Read CSV file into a list of lists with open('input.csv', 'r') as file: reader = csv.reader(file) data = list(reader) # Shuffle the list of lists random.shuffle(data) # Write shuffled data back to CSV file with open('output.csv', 'w', newline='') as file: writer = csv.writer(file) writer.writerows(data)

  8. Python code to shuffle rows in a CSV file randomly

    • Description: Use the csv module to read the CSV file into a list of dictionaries, shuffle the list, and then write it back to the CSV file.
    • Code:
      import csv import random # Read CSV file into a list of dictionaries with open('input.csv', 'r') as file: reader = csv.DictReader(file) data = list(reader) # Shuffle the list of dictionaries random.shuffle(data) # Write shuffled data back to CSV file with open('output.csv', 'w', newline='') as file: writer = csv.DictWriter(file, fieldnames=data[0].keys()) writer.writeheader() writer.writerows(data)

  9. How to shuffle all rows of a CSV file in Python

    • Description: Use the pandas library to read the CSV file into a DataFrame, shuffle the DataFrame, and then write it back to a CSV file while maintaining the column order.
    • Code:
      import pandas as pd # Read CSV file into a DataFrame df = pd.read_csv('input.csv') # Shuffle the DataFrame df = df.sample(frac=1).reset_index(drop=True) # Write shuffled DataFrame back to CSV file df.to_csv('output.csv', index=False)

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