Page 454 - AI Ver 3.0 class 10_Flipbook
P. 454

For example:

                 • To print labelled and positional index
                 [1]:   import pandas as pd
                        Marks = pd.Series([96, 92, 91, 93], index=["Shashi",
                        "Sonali", "Neha", "Rajeev"])
                        print("Using Labelled index ", Marks["Sonali"])
                        print("Using Positional index ", Marks.iloc[1])

                        Using Labelled index  92
                        Using Positional index  92

                 Note,
                    ✶ Use .iloc[pos] for positional indexing.
                    ✶ Use .loc[label] or [] for label-based indexing.

                 • To print 2 elements:
                 [1]:   print(Marks.iloc[[2, 3]])

                        Neha      91
                        Rajeev    93
                        dtype: int64
                 Note,
                    ✶ Use .iloc[[pos1, pos2]] for positional indexing.
                    ✶ Use .loc[[label1, label2]] for label-based indexing.

                 • To print 2 elements in another way:
                 [1]:   print(Marks[["Sonali","Rajeev"]])

                        Sonali    92
                        Rajeev    93
                        dtype: int64
                 • To access elements using slicing:

                 [1]:   print(Marks[1:3])  #excludes the value at index position 3
                        Sonali    92
                        Neha      91
                        dtype: int64
                 • To access elements using slicing in another way:

                 [1]:   print(Marks["Sonali":"Rajeev"])

                        Sonali    92
                        Neha      91
                        Rajeev    93
                        dtype: int64
                 • To display the series in the reverse order

                 [1]:   print(Marks[::-1])
                        Rajeev    93
                        Neha      91
                        Sonali    92
                        Shashi    96
                        dtype: int64


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