Page 205 - Touhpad Ai

'Qualification':['M.Sc.', 'MA', 'MCA', 'Ph.D.']}

# Convert the dictionary into DataFrame
df = pd.DataFrame(data)

# Selecting the second row (index 1)

selected_row = df.iloc[2]
print(selected_row)
Output:
Name Sakshi

Age 25
Address Meerut

Qualification MCA

Name: 2, dtype: object
To print the output in the same format as the original DataFrame (df), you can use the to_dict() method along with
orient='records' to convert the selected row into a dictionary and then create a new DataFrame from that dictionary.

Program 12: To select a row using .iloc[] method and print the output in the same format as the original
DataFrame

# Import pandas library
import pandas as pd

# Define a dictionary containing employee data
data = {'Name':['Adit', 'Ekam', 'Sakshi', 'Anu'],

'Age':[27, 24, 25, 30],
'Address':['Delhi', 'Kanpur', 'Meerut', 'Indore'],
'Qualification':['M.Sc.', 'MA', 'MCA', 'Ph.D.']}

# Convert the dictionary into DataFrame

df = pd.DataFrame(data)

# Selecting the second row (index 1)
selected_row = df.iloc[2]

# Convert the selected row to a dictionary
selected_row_dict = selected_row.to_dict()

# Create a new DataFrame from the selected row dictionary
selected_row_df = pd.DataFrame([selected_row_dict])

# Display the new DataFrame
print(selected_row_df)
Output:

Name Age Address Qualification

0 Sakshi 25 Meerut MCA
Theoretical and Practical Aspects of Data Processing 203