In a DataFrame, axis-0 is for

• Columns

• Rows and Columns both

• Rows

• None of these

To get the Transpose of a DataFrame D1, you can write _____________.

• D1.T

• D1.Transpose

• D1.swap

• All of these

To display the 3rd, 4th and 5th columns from the 6th to 9th rows of a dataframe DF, you can write ________.

• DF.loc[6:9, 3:5]

• DF.loc[6:10, 3:6]

• DF.iloc[6:10, 3:6]

• DF.iloc[6:9, 3:5]

Which among the following can be used to create a DataFrame in Pandas?

• A scalar value

• An ndarray

• A python dictionary

• All of these

To delete a row from a DataFrame, you may use the __________ statement.

• remove

• delete

• drop

• cancel

You have a Pandas dataframe (assigned to the variable df) with the given data. Which of the following code snippets will return the temperature and rainfall of rows 2 and 3?

• df[['temperature','rainfall']][1:3]

• df['temperature', 'rainfall'][1:3]

• df.iloc[1:3]

• df.iloc[1:3,1:2]

Select the most suitable option. Statement I: A DataFrame is size mutable. Statement II: A series cannot contain duplicate indexes.

• I is False and II is True

• I is True and II is True

• I is False and II is False

• I is True and II is False

Which of the following is correct Features of DataFrame?

• Potentially columns are of different types

• Can Perform Arithmetic operations on rows and columns

• Labeled axes (rows and columns)

• All of the above

Specify the statement which can be given using row labels and column labels in order to display the sales performance in Qtr3 of year Y2016.

• df.at[Qtr3, Y2016]

• df.at['Qtr3', 'Y2016']

• df.iat[2,1]

• df.iat['Qtr3', 'Y2016']

Specify the statement which can be given using row labels and column labels in order to display the sales performance in the quarters – Qtr1 and Qtr3 of years - Y2017 and Y2018.

• df.at[['Qtr1','Qtr3'], ['Y2017','Y2018']]

• df.loc[['Qtr1','Qtr3'], ['Y2017','Y2018']]

• df.loc['Qtr1','Qtr3', 'Y2017','Y2018']

• df.iloc[['Qtr1','Qtr3'], ['Y2017','Y2018']]