Introduction
Pandas is an important module for python programming language
It provides high- performance data structures and data analysis tools
Python with pandas is used in a wide range of field (Data Science, Statistic,analytics,etc..)
Key Features Of Pandas
Fast data structure objects (This data structures are built on top of NumPy )
Lots of tools to do manipulations on this data structures
Tools for loading data into data objects
Organization and labeling of data are perfectly taken care of by the intelligent methods of alignment and indexing, which can be found within Pandas
Pandas allows you to implement a mathematical operation on the data
Pandas supports Multiple file formats
Installation
Python does not come with Pandas module . So we need to install it using pip (Python package installer)
Open idle or any other tools where you are coding and type the below code and run it
pip install pandasData Structures Provided By Pandas
Pandas provides with three different data structures
Series
DataFrame
Panel
Description of each Data Structures
Series
It is a one dimensional labelled array (think as a single column)
Elements inside the series have a label to it (labelled array)
It contains homogenous data (all the elements should be of same datatype)
Once a series data structure is created we cant change its size (size is immutable)
Values inside the series data structures are changeable ( mutable)
DataFrame
It is a two dimensional data structure with labelled axis (think as a table which contains both rows and columns)
Elements inside the DataFrame have a label to it (row label and column label)
It contains heterogenous data along rows axis and homogenous data along column axis
Once a DataFrame is created we can change its size (size is mutable)
Values inside the DataFrame are changeable ( mutable)
Panel
Panel is a three dimensional data structures
Panel can be thought of as a container of DataFrame
It contains heterogenous data
Size is mutable
Data is mutable