Skipping more than one row in Python csv

Skipping more than one row in Python csv

To skip more than one row while reading a CSV file in Python, you can use the next() function of the CSV reader multiple times. Each call to next() will advance the reader to the next row in the CSV file. Here's an example:

import csv # Open the CSV file with open('data.csv', 'r') as csvfile: # Create a CSV reader object csvreader = csv.reader(csvfile) # Skip the first two rows next(csvreader) # Skip first row next(csvreader) # Skip second row # Read and process the remaining rows for row in csvreader: # Process the row here print(row)

In this example:

  • We open the CSV file using the open() function in read mode.
  • We create a CSV reader object using csv.reader() and pass the file object to it.
  • We call next(csvreader) twice to skip the first two rows of the CSV file.
  • We then iterate over the remaining rows using a for loop and process each row as needed.

You can adjust the number of times you call next() based on the number of rows you want to skip.

Examples

  1. How to skip multiple rows while reading a CSV file in Python?

    • Description: This query seeks a method to skip more than one row when reading a CSV file in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for _ in range(3): # Skipping 3 rows next(reader) for row in reader: print(row)

  2. Python CSV reader skip first 5 rows

    • Description: This code snippet demonstrates how to skip the first 5 rows while reading a CSV file in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for _ in range(5): # Skipping 5 rows next(reader) for row in reader: print(row)

  3. Skipping header and footer rows in Python CSV

    • Description: This query is about skipping both header and footer rows while processing a CSV file in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) next(reader) # Skipping header row for _ in range(3): # Skipping 3 footer rows next(reader) for row in reader: print(row)

  4. How to skip every nth row in Python CSV file?

    • Description: This code snippet demonstrates skipping every nth row while reading a CSV file in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for i, row in enumerate(reader): if i % 3 != 0: # Skipping every 3rd row print(row)

  5. Python CSV reader skip rows with specific value

    • Description: This query seeks a method to skip rows in a CSV file based on a specific value in a particular column.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for row in reader: if row[0] != 'skip': print(row)

  6. Skipping empty rows in Python CSV

    • Description: This code snippet demonstrates how to skip empty rows while reading a CSV file in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for row in reader: if row: print(row)

  7. How to skip rows containing specific strings in Python CSV?

    • Description: This query seeks a method to skip rows containing specific strings while reading a CSV file in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for row in reader: if 'skip' not in row: print(row)

  8. Skipping rows based on row index in Python CSV

    • Description: This code snippet demonstrates how to skip rows based on their index while reading a CSV file in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for i, row in enumerate(reader): if i not in [1, 3, 5]: # Skipping rows with indices 1, 3, and 5 print(row)

  9. Skipping alternate rows in Python CSV

    • Description: This query is about skipping alternate rows while reading a CSV file in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for i, row in enumerate(reader): if i % 2 == 0: # Skipping alternate rows print(row)

  10. How to skip specific rows in Python CSV based on conditions?

    • Description: This code snippet demonstrates how to skip rows in a CSV file based on custom conditions while reading in Python.
    import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for row in reader: if condition(row): # Skip rows based on custom condition continue print(row)

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