You can use the following syntax to export a pandas DataFrame to a CSV file and not include the header:
df.to_csv('my_data.csv', header=None)
The argument header=None tells pandas not to include the header when exporting the DataFrame to a CSV file.
The following example shows how to use this syntax in practice.
Example: Export Pandas DataFrame to CSV File with No Header
Suppose we have the following pandas DataFrame that contains information about various basketball players:
import pandas as pd #create DataFrame df = pd.DataFrame({'team': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'], 'points': [18, 22, 19, 14, 14, 11, 20, 28], 'assists': [5, 7, 7, 9, 12, 9, 9, 4], 'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]}) #view DataFrame print(df) team points assists rebounds 0 A 18 5 11 1 B 22 7 8 2 C 19 7 10 3 D 14 9 6 4 E 14 12 6 5 F 11 9 5 6 G 20 9 9 7 H 28 4 12
If we use the to_csv() function to export the DataFrame to a CSV file, pandas will include the header row by default:
#export DataFrame to CSV file
df.to_csv('basketball_data.csv')
Here is what the CSV file looks like:
Notice that the header row with the column names is included in the CSV file.
To export the DataFrame to a CSV file without the header, we must specify header=None:
#export DataFrame to CSV file without header
df.to_csv('basketball_data.csv', header=None)
Here is what the CSV file looks like:
Notice that the header row is no longer included in the CSV file.
Note: You can find the complete documentation for the pandas to_csv() function here.
Additional Resources
The following tutorials explain how to perform other common tasks in pandas:
How to Read CSV Without Headers in Pandas
How to Merge Multiple CSV Files in Pandas
How to Only Read Specific Rows from CSV File in Pandas
