When you convert an Excel (xlsx) file to a CSV file using pandas, the resulting CSV file will often contain the index column from the DataFrame. If you want to exclude the index column from the CSV file, you can use the index
parameter of the to_csv()
function.
Here's how you can do it:
import pandas as pd # Read the Excel file into a DataFrame excel_file = 'input.xlsx' df = pd.read_excel(excel_file) # Convert the DataFrame to CSV without including the index column csv_file = 'output.csv' df.to_csv(csv_file, index=False) # Set index=False to exclude the index column
In the code above, the index=False
parameter passed to the to_csv()
function ensures that the index column is not included in the resulting CSV file.
If you want to include the index column but don't want to write it as a separate column, you can use the index_label
parameter to set a label for the index column:
df.to_csv(csv_file, index_label='index') # Write the index column with a label
In this case, the index will be included in the CSV file, but it will have the label "index" as the column header.
Choose the approach that best suits your needs: excluding the index column entirely or including it with a custom label.
How to read an XLSX file in pandas?
.xlsx
) into a pandas DataFrame.import pandas as pd df = pd.read_excel('input.xlsx')
How to convert an XLSX file to CSV with pandas?
import pandas as pd df = pd.read_excel('input.xlsx') df.to_csv('output.csv', index=False) # Saving without index
How to delete the index column when converting XLSX to CSV?
import pandas as pd df = pd.read_excel('input.xlsx') df.to_csv('output.csv', index=False) # Disables the index in CSV
How to load a specific sheet from an Excel file with pandas?
import pandas as pd df = pd.read_excel('input.xlsx', sheet_name='Sheet2') # Specify the sheet name
How to export a DataFrame to CSV without headers using pandas?
import pandas as pd df = pd.read_excel('input.xlsx') df.to_csv('output.csv', index=False, header=False) # No headers
How to handle large Excel files with pandas?
import pandas as pd chunk_size = 1000 # Process 1000 rows at a time for chunk in pd.read_excel('input.xlsx', chunksize=chunk_size): chunk.to_csv('output.csv', mode='a', header=not chunk._currow, index=False)
How to append data to an existing CSV file with pandas?
import pandas as pd df = pd.read_excel('input.xlsx') df.to_csv('output.csv', mode='a', index=False, header=False) # Append to an existing CSV
How to convert specific columns from XLSX to CSV using pandas?
import pandas as pd df = pd.read_excel('input.xlsx', usecols=['Column1', 'Column3']) # Select specific columns df.to_csv('output.csv', index=False) # Convert to CSV
How to convert XLSX to CSV with a specific delimiter in pandas?
import pandas as pd df = pd.read_excel('input.xlsx') df.to_csv('output.csv', index=False, sep=';') # Using a semicolon as a delimiter
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