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2.  What will be the output of the following code:                                              [2023]
              import pandas as pd
              s1=pd.Series(data=2*(3,10))
              print(s1)
         Ans.  0 3
              1 10
              2 3
              3 10
              dtype: int64
           3.  Kavyanjali, a chemical analyst, needs to arrange data of few elements in the form of two series containing symbols and their
              atomic numbers respectively. Thereafter, the data of these two series has to be arranged and displayed in the form of Data
              Frame as shown below:                                                                        [2023]
                                 Symbol       Atomic number
               Hydrogen      H              1
               Helium        He             2
               Lithium       Li             3
               Beryllium     Be             4
              Help her in writing suitable Python code to complete the task.

         Ans.  import pandas as pd
              idx=['Hydrogen','Helium','Lithium','Beryllium']
              s1=pd.Series(['H','He','Li','Be'],index=idx)
              s2=pd.Series([1,2,3,4],index=idx)
              d={'Symbol':s1,'Atomic Number':s2}
              df=pd.DataFrame(d)
              print(df)
           4.  Which of the following statement is wrong?                                                  [2022]
              a.  Can't change the index of the Series.
              b.  We can easily convert the list, tuple, and dictionary into a series.
              c.  A Series represents a single column in memory.
              d.  We can create empty Series.
         Ans.  a. Can't change the index of the Series.
           5.  What type of  error is returned by the following statement?                                 [2022]

              import pandas aa pa
              pa.Series([l,2,3,4], index = [ 'a' ,'b' ,' c' ] )
              a.  Value Error          b. Syntax Error        c. Name Error          d. Logical error

         Ans.  a. Value Error
           6.  Consider the following code:                                                                [2022]

              import numpy aa np
              import pandas aa pd
              L=np.array ([l0,20])
              x=pd.Series(__________)  # statement 1
              print(x)





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