Data Handling using Pandas –PART B

 Creating a series from Scalar value

To create a series from scalar value, an index must be provided. The scalar value will be repeated as per the length of index.

Creating a series from a Dictionary

Mathematical Operations in Series

Head and Tail Functions in Series

head (): It is used to access the first 5 rows of a series. 

Note :To access first 3 rows we can call series_name.head(3)

tail(): It is used to access the last 5 rows of a series. 

Note :To access last 4 rows we can call series_name.tail (4)

Selection in Series

Series provides index label loc and ilocand [] to access rows and columns.

1. loc index label :-

Syntax:-series_name.loc[StartRange: StopRange]

 Example-

2. Selection Using iloc index label :-

Syntax:-series_name.iloc[StartRange : StopRange] 

Example-

3. Selection Using [] :

Syntax:-series_name[StartRange> : StopRange] or series_name[ index]

Example-

Slicing in Series

Slicing is a way to retrieve subsets of data from a pandas object. A slice object 

syntax is –

SERIES_NAME [start:end: step]

The segments start representing the first item, end representing the last item, and step representing the increment between each item that you would like.

Example :-