Python Subset Multiple Columns of Pandas DataFrame (Example Code)

import pandas as pd                          # Load pandas

import pandas as pd # Load pandas

my_df = pd.DataFrame({'A':range(10, 15),    # Constructing example data
                      'B':["x", "c", "e", "y", "i"],
                      'C':range(100, 105)})
print(my_df)                                # Displaying example data in Python console
#     A  B    C
# 0  10  x  100
# 1  11  c  101
# 2  12  e  102
# 3  13  y  103
# 4  14  i  104

my_df = pd.DataFrame({'A':range(10, 15), # Constructing example data 'B':["x", "c", "e", "y", "i"], 'C':range(100, 105)}) print(my_df) # Displaying example data in Python console # A B C # 0 10 x 100 # 1 11 c 101 # 2 12 e 102 # 3 13 y 103 # 4 14 i 104

my_df = my_df[['A', 'C']]                   # Extract columns from data
print(my_df)                                # Displaying updated data
#     A    C
# 0  10  100
# 1  11  101
# 2  12  102
# 3  13  103
# 4  14  104

my_df = my_df[['A', 'C']] # Extract columns from data print(my_df) # Displaying updated data # A C # 0 10 100 # 1 11 101 # 2 12 102 # 3 13 103 # 4 14 104