import pandas as pd

# Creating a DataFrame
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9],
      'D': [10, 11, 12]})

# Drop one column and substitute the current data frame
df_2 = df.drop(['A', 'D'], axis=1)

# Print new data frame
print(df_2)

>>>

   B  C
0  4  7
1  5  8
2  6  9