Python Pandas (Series) Important Questions Answer
Exam Special Python Pandas Assignment
Que 41. In how many ways you can access the Series object? Write their name.
Answer: Two common ways to access the element of the Series object.
(a) Indexing and (b) Slicing
Que 42. How many types of indexes are possible with the Series object?
Answer: Two types of indexes are possible with the Series object.
(a) Positional Index and (b) Labelled Index
Que 43. What is Positional Index? Give example.
Answer: The Positional index takes an integer value that corresponds to its position in the series starting from 0.
>>> seriesNum = pd.Series([10,20,30])
>>> seriesNum[2]
30
Que 44. What is the Labelled Index? Give example.
Answer: Labelled index takes any user-defined label as an index.
>>> seriesMnths = pd.Series([2, 3, 4],index =[“Feb”, “Mar”,” pr”])
>>> seriesMnths[“Mar”]
3
Que 45. Solve the following questions on the basis of the given code.
>>> data = ['NewDelhi', 'WashingtonDC', 'London', 'Paris']
>>> indexes = ['India', 'USA', 'UK', 'France']
>>> seriesCapCntry = pd.Series(data , index= indexex)
(a) Write the statement to get NewDelhi as output using a positional index.
(b) Write the statement to get NewDelhi as output using the labelled index.
Answer: (a) seriesCapCntry[0] #positional index
‘NewDelhi’
(b) seriesCapCntry[‘India’] #labelled index
‘NewDelhi’
Que 46. Can you access more than one element of the series either positional or labels?
Answer: Yes. By using Positional and Labelled Indexing
Que 47. In the given code (Que 45), write the statement to display the capital of the UK and India using:
(a) Positional Index and (b) Labelled Index
Answer: (a) Positional Index
>>> seriesCapCntry[ [3, 0]] #positional index
UK London
India New Delhi
(b) Labelled Index
>>> seriesCapCntry[ [‘India’, ‘UK’]] #labelled index
UK London
India New Delhi
Que 48. Can you access more than one element of the series either positional or labels?
Answer: Yes. By using Positional and Labelled Indexing