Class 12 DataFrame accessing using all method-------- Important for board exam

 Class 12 Accessing DataFrame All methods 

First, let's create a sample DataFrame:

import pandas as pd

# Sample data
data = {
    'Year': [2020, 2021, 2022, 2023],
    'Subject': ['Math', 'Physics', 'Chemistry', 'Biology'],
    'Question': [
        'Find the derivative of the function f(x) = x^2 + 2x + 1.',
        'Explain the concept of quantum mechanics and its applications.',
        'Describe the process of electrolysis and its uses.',
        'Discuss the structure and function of the human respiratory system.'
    ]
}

# Creating DataFrame
df = pd.DataFrame(data)

Accessing and Showing DataFrame Columns

1. Display All Columns

   # Display all column names
   print(df.columns)
   

2. Access a Single Column

   
   # Access the 'Year' column
   print(df['Year'])
   

3. Access Multiple Columns

   # Access the 'Year' and 'Subject' columns
   print(df[['Year', 'Subject']])
   

4. Access Columns Using Dot Notation

   
   # Access the 'Subject' column using dot notation
   print(df.Subject)
   

5. Get Data Types of Columns

         # Display the data types of each column

       print(df.dtypes)

Output

Executing these commands will produce the following outputs:

1. Display All Columns

   
   Index(['Year', 'Subject', 'Question'], dtype='object')
   

2. Access a Single Column

   
   0    2020
   1    2021
   2    2022
   3    2023
   Name: Year, dtype: int64
   

3. Access Multiple Columns

      Year   Subject
   0  2020      Math
   1  2021   Physics
   2  2022 Chemistry
   3  2023   Biology
   

4. Access Columns Using Dot Notation

   
   0       Math
   1    Physics
   2  Chemistry
   3    Biology
   Name: Subject, dtype: object
   

5. Get Data Types of Columns

6. Year        int64
   Subject    object
   Question   object
   dtype: object