Load & Import Particular Columns from CSV File as pandas DataFrame in Python (Example Code)

import pandas as pd                                          # Import pandas library

import pandas as pd # Import pandas library

my_df = pd.DataFrame({'A':range(100, 105),                   # Construct new pandas DataFrame
                      'B':[9, 3, 7, 1, 2],
                      'C':['a', 'f', 'c', 'f', 'f'],
                      'D':range(35, 30, - 1)})

my_df = pd.DataFrame({'A':range(100, 105), # Construct new pandas DataFrame 'B':[9, 3, 7, 1, 2], 'C':['a', 'f', 'c', 'f', 'f'], 'D':range(35, 30, - 1)})

my_df.to_csv('my_df.csv')                                    # Write exemplifying DataFrame to folder

my_df.to_csv('my_df.csv') # Write exemplifying DataFrame to folder

my_df_load = pd.read_csv('my_df.csv', usecols = ['A', 'C'])  # Import CSV & print output
print(my_df_load)
#      A  C
# 0  100  a
# 1  101  f
# 2  102  c
# 3  103  f
# 4  104  f

my_df_load = pd.read_csv('my_df.csv', usecols = ['A', 'C']) # Import CSV & print output print(my_df_load) # A C # 0 100 a # 1 101 f # 2 102 c # 3 103 f # 4 104 f