# Import the pandas library
import pandas as pd
# Create a sample DataFrame
data = {'Name': ['Alice', 'Bob', 'Charlie', 'David'],
'Age': [25, 30, 35, 28],
'City': ['New York', 'Los Angeles', 'Chicago', 'Houston']}
df = pd.DataFrame(data)
# Display the DataFrame
print("Original DataFrame:")
print(df)
# Accessing specific columns
print("\nAccessing 'Name' column:")
print(df['Name'])
# Accessing specific rows
print("\nAccessing the first row:")
print(df.iloc[0])
# Filtering data based on conditions
print("\nPeople above the age of 30:")
print(df[df['Age'] > 30])
# Adding a new column
df['Salary'] = [50000, 60000, 75000, 48000]
print("\nDataFrame with the 'Salary' column:")
print(df)
# Deleting a column
df = df.drop(columns=['City'])
print("\nDataFrame after deleting the 'City' column:")
print(df)
Program Explanation -