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    What is the output of the following? import pandas as pd S1 = pd.Series([100, 200, 300]) print(S1)
    Question

    What is the output of the following?
    import pandas as pd
    S1 = pd.Series([100, 200, 300])
    print(S1)

    A.

    1 100 2 200 3 300 dtype: int64

    B.

    0 100 1 200 2 300 dtype: float64

    C.

    1 100 2 200 3 300 dtype: float64

    D.

    0 100 1 200 2 300 dtype: int64

    Correct option is D


    The given code creates a Pandas Series from a list [100, 200, 300] and prints it.
    import pandas as pd
    S1 = pd.Series([100, 200, 300])
    print(S1)
    · The pd.Series() function automatically assigns an integer index starting from 0 to the elements of the list.
    · Since no other index is specified, the default index is used: 0, 1, 2.
    · The elements [100, 200, 300] are interpreted as integer values.
    · The dtype will be int64 because the elements are integers.
    Thus, the output will be:
    0 100
    1 200
    2 300
    dtype: int64
    Important Key Points:
    1. pd.Series(): This function creates a one-dimensional array-like object, with a default integer index starting from 0.
    2. dtype: Since the input data is a list of integers, the data type of the resulting series is int64.
    3. Default Indexing: When no custom index is specified, Pandas automatically assigns a default index starting from 0.
    Knowledge Booster:
    · Option (a): This is incorrect because the index starts at 0 by default, not 1.
    · Option (b): This is incorrect because the default data type for integers is int64, not float64.
    · Option (c): This is incorrect because the index should start at 0, not 1, and the data type is int64, not float64.

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