import pandas as pd

fields = ['star_name', 'ra']

​

df = pd.read_csv('data.csv', usecols=fields)

# Basic syntax:

import pandas as pd

df = pd.read_csv('file_with_header.tsv', usecols=['col_name1','col_name2'])

​

# Example usage:

# Say you have a TSV file with the following structure and only want to load the

# First_Name and Email fields:

ID  Date    First_Name  Last_Name   Email

2ICF7FPMPQ0585E0    1988-06-15  Rosenda Mathis  leighamckeon31112@yahoo.com

VGPHBJKP1TX566LM    2008-08-27  Delicia Wilder  demetrius-dickerson@gmail.com

C291NDCKKK9ZPUO4    2015-04-23  Rufina  Swanson irina-mangum-geiger@coal.com

01R16K32IK9QUMLM    1985-01-13  John    Clarkson    maxfoley@made.yoshikawa.saitama.jp

​

df = pd.read_csv('file_with_header.tsv', usecols=['First_Name','Email'], sep='\t')

print(df)

  First_Name                               Email

0    Rosenda         leighamckeon31112@yahoo.com

1    Delicia       demetrius-dickerson@gmail.com

2     Rufina        irina-mangum-geiger@coal.com

3       John  maxfoley@made.yoshikawa.saitama.jp

df[['COL 1', 'COL 2']]