Carefully observe the following code :

import pandas as pd
Year1 = {'Q1': 5000, 'Q2': 8000, 'Q3': 12000, 'Q4': 18000} 
Year2 = {'A': 13000, 'B': 14000, 'C': 12000}
totSales = {1: Year1, 2: Year2}
df = pd.DataFrame(totSales)
print(df)

Answer the following :

(i) List the index of the DataFrame df.

(ii) List the column names of DataFrame df.

Given :

import pandas as pd
d = {'one' : pd.Series([1., 2., 3.], index = ['a', 'b', 'c']), 'two' : pd.Series([1., 2., 3., 4.], index = ['a', 'b', 'c', 'd'])} 
df = pd.DataFrame(d)
df1 = pd.DataFrame(d, index = ['d', 'b', 'a'])
df2 = pd.DataFrame(d, index = ['d', 'a'], columns = ['two', 'three'])
print(df) 
print(df1) 
print(df2)

What will Python show the result as if you execute above code ?

From the DataFrames created in previous question, write code to display only rows 0 and 1 from DataFrames df, df1, and df2.

From the DataFrames created in previous question, write code to display only rows 'a' and 'b' for columns 1 and 2 from DataFrames df, df1 and df2.