Python – Pandas Data Structure (series, panel & Dataframe)

Pandas in Python deals with three data structures namely

• Series
• DataFrame
• Panel

Dimensions and Descriptions of Pandas Datastructure:

• Series – 1D labeled homogeneous array, sizeimmutable
• Data Frames – 2D labeled, size-mutable tabular structure with heterogenic columns
• Panel – 3D labeled size mutable array.

Series in Pandas:

Series is a one-dimensional array with homogeneous data.  All the elements of series should be of same data type

Example:

Key Features of a Series:

• Homogeneous data
• Size Immutable –size cannot be changed
• Values of Data Mutable

DataFrame in pandas:

DataFrame is a two-dimensional array with heterogeneous data, usually represented in the tabular format. The data is represented in rows and columns. Each column represents an attribute and each row represents a person.

Key Features of a DataFrame:

• Heterogeneous data
• Size Mutable
• Data Mutable

Panel in pandas:

Panel is a three-dimensional data structure with heterogeneous data.

Key Features of a Panel:

• Heterogeneous data
• Size Mutable
• Data Mutable