2021 SAMPLE PAPER 1 (TERM 1)

To create an empty Series object, you can use:

• pd.Series(empty)

• pd.Series( )

• pd.Series(np.NaN)

• all of these

To specify datatype int16 for a Series object, you can write :

• pd.Series(data = array, dtype = int16)

• pd.Series(data = array, dtype = numpy.int16)

• pd.Series(data = array.dtype pandas.int16)

• all of the above

To get the number of dimensions of a Series object,

• index

• size attribute is displayed.

• itemsize

• ndim

To get the size of the datatype of the items in Series object, you can display attribute.

• index

• size

• itemsize

• ndim

To get the number of elements in a Series object, attribute may be used.

• index

• size

• itemsize

• ndim

To get the number of bytes of the Series data, attribute is displayed.

• hasnans

• nbytes

• ndim

• dtype

To check if the Series object contains NaN values, attribute is displayed.

• hasnans

• nbytes

• ndim

• dtype

To display third element of a Series object S, you will write

• S[:3]

• S[2]

• S[3]

• S[:2]

To display first three elements of a Series object S, you may write

• S[:3]

• S[3]

• S[3rd]

• all of these

To display last five rows of a Series object S, you may write

• head()

• head(5)

• tail( )

• tail(5)

• both c and d