Get the specified row value of a given Pandas DataFrame

# import pandas library
import pandas as pd

# Creating a dictionary
d = {'sample_col1': [1, 2, 3],
     'sample_col2': [4, 5, 6], 
     'sample_col3': [7, 8, 9]} 

# Creating a Dataframe
df = pd.DataFrame(d) 

# show the dataframe 
print(df) 

print()

# Select Row No. 2
print(df.iloc[2])

# import pandas library
import pandas as pd

# Creating a dictionary
d = {'sample_col1': [1, 2, 1],
     'sample_col2': [4, 5, 6], 
     'sample_col3': [7, 8, 9]} 

# Creating a Dataframe
df = pd.DataFrame(d) 

# show the dataframe
print(df) 

print()

# Select rows where sample_col1 is 1
print(df.loc[df['sample_col1'] == 1]) 

# import pandas library
import pandas as pd

# Creating a dictionary
d = {'sample_col1': [1, 2, 1],
     'sample_col2': [4, 5, 6], 
     'sample_col3': [7, 8, 9]}  

# Creating a Dataframe
df = pd.DataFrame(d) 

# show the dataframe
print(df) 

print()

# Display column 1 and 3 for row 2
print(df[['sample_col1' , 'sample_col3']].iloc[1])