You can use the following syntax to export only specific columns from a pandas DataFrame to a CSV file:
df.to_csv('my_data.csv', columns=['col1', 'col4', 'col6'])
The columns argument tells pandas which specific columns to export from the DataFrame to the CSV file.
The following example shows how to use this syntax in practice.
Example: Export Specific Columns from Pandas DataFrame to CSV File
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 export all of the columns by default:
#export DataFrame to CSV file
df.to_csv('basketball_data.csv')
Here is what the CSV file looks like:
Notice that all of the columns from the DataFrame are included in the CSV file.
To export only specific columns from the DataFrame to a CSV file, we can use the columns argument.
For example, we can use the following syntax to export only the team and rebounds columns to the CSV file:
#export only team and rebounds columns from DataFrame to CSV file
df.to_csv('basketball_data.csv', columns=['team', 'rebounds'])
Here is what the CSV file looks like:
Notice that only the team and rebounds columns are 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 Export Data to CSV File with No Header in Pandas
How to Merge Multiple CSV Files in Pandas
How to Only Read Specific Rows from CSV File in Pandas
