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link管理  ›  Read CSV File without Unnamed Index Column in Python - GeeksforGeeks
read python csv pandas
https://www.geeksforgeeks.org/read-csv-file-without-unnamed-index-column-in-python/
安静的香菇
6 月前

Whenever the user creates the data frame in Pandas , the Unnamed index column is by default added to the data frame. The article aims to demonstrate how to read CSV File without Unnamed Index Column using index_col=0 while reading CSV .

Read CSV File without Unnamed Index Column Using index_col=0 while reading CSV

The way of explicitly specifying which column to make as the index to the read_csv () function is known as the index_col attribute. This method is useful if you have created the dataset in Pandas and have stored that in a CSV file. Then, while importing that CSV file back in Pandas, you can use this method, with syntax:

df=pd.read_csv(csv_file ,index_col=0)

In this method, we will use the Pandas data frame with three columns, name, subject and fees, Dataset link . On uploading this Pandas data frame in CSV, it by defaults shows an unnamed column in the dataset. The original data is:

Python3

Output: 

   Unnamed: 0     name         subject   fees
0           0     Arun           Maths   9000
1           1   Aniket  Social Science  12000
2           2   Ishits         English  15000
3           3  Pranjal         Science  18000
4           4  Vinayak        Computer  18000

Now, let’s see how to remove that unnamed column by using index_col attribute of read_csv function. 


Python3


# Read the CSV file removing unnamed columns


df = pd.read_csv('student_data.csv', index_col=0)


print('Dataframe after removing unnamed columns:')


print(df)


Dataframe after removing unnamed columns:
      name         subject   fees
0     Arun           Maths   9000
1   Aniket  Social Science  12000
2   Ishits         English  15000
3  Pranjal         Science  18000
4  Vinayak        Computer  18000
                
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