Use this dataframe to answer the question.Which will NOT evaluate to 20.6? Select all that apply.1 pointdf.iloc[4,5]df.iloc[6,5]df.loc[4,’Music Recording Sales’]df.iloc[6, ‘Music Recording Sales (millions)’]

4.Question 4Use this dataframe to answer the question.How would you select the Genre disco? Select all that apply.1 pointdf.iloc[6, ‘genre’]df.loc[6, 5]df.iloc[6, 4]df.loc[‘Bee Gees’, ‘Genre’]5.Question 5Use this dataframe to answer the question.Which will NOT evaluate to 20.6? Select all that apply.1 pointdf.iloc[4,5]df.iloc[6,5]df.loc[4,’Music Recording Sales’]df.iloc[6, ‘Music Recording Sales (millions)’]6.Question 6Use this dataframe to answer the question.How do we select Albums The Dark Side of the Moon to Their Greatest Hits (1971-1975)? Select all that apply.1 pointdf.iloc[2:5, ‘Album’]df.loc[2:5, ‘Album’]df.iloc[2:6, 1]df.loc[2:5, 1]

Use this dataframe to answer the question.How do we select Albums The Dark Side of the Moon to Their Greatest Hits (1971-1975)? Select all that apply.1 pointdf.iloc[2:5, ‘Album’]df.loc[2:5, ‘Album’]df.iloc[2:6, 1]df.loc[2:5, 1]

Consider the following DataFrame Gr and answer any four questions from (i)- (v)   Name             Age0  Rashmi          A11  Harsh            A22  Ganesh         B13  Priya             A14  Vivek            B25  Anita            A26  Karthik         A1  5. Write down the command that will give the following output. Name                Age0  Rashmi            A11  Harsh             A22  Ganesh            B13  Priya             A14  Vivek             B2*1 pointa. print(Gr.iloc[0:5])b. print(Gr[0:5])c. Bothd. None6. The teacher needs to add a column called Percentage with the following data          [92,89,None,95,68,None,93] Help her to identify the correct set of statement/s from the given options :*1 pointa. Gr.column[‘Percentage’]=[92,89,None, 95,68,None ,93]b. Gr[‘ Percentage’]=[92,89,None, 95,68,None ,93]c. Gr.loc[‘Percentage’]= [92,89,None,95,68,None,93]d. Both (b) and (c) are correct7. Which of the following statement/s will  drop the column Grade by name?*1 pointa. Gr.drop[‘Grade’]b. Gr.drop(‘Grade’, axis=1)c. Both a & bd. None of the above8. Which of the following command will display the column labels of the DataFrame?*1 pointa. print(Gr.columns())b. print(Gr.column())c. print(Gr.column)d. print(Gr.Columns)

Which rows of the DataFrame df will be selected based on the following syntax? df.iloc[22:57]

22. You have dataframe called food_prices below:ItemStorePriceDatePearA0.992017PearB1.992017PeachA2.992017PeachB3.492017BananaA0.392017BananaB0.492017SteakA5.992017SteakB 6.992017steakB4.992015 and another called food_transactions below: IndexCustIDItemStoreQuantity01PearA511PearB1022PeachA332PeachB142BananaA252BananaB162SteakA4 Which of the following line of code will give the ouput below?IndexCustIDItemStoreQuantityPriceDate01PearA50.99201711PearB101.99201722PeachA32.99201732PeachB13.49201742BananaA20.39201752BananaB10.49201762SteakA45.992017food_transactions.merge(food_prices,on = ['item','store'])food_transactions.join(food_prices,on = ['item','store'])food_transactions.concat(food_prices,on = ['item','store'])food_prices.concat(food_transactions,on = ['item','store'])None of the above