Pandas

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Hello Folks...!!!

Today let us look at the package Pandas in Python.

What is pandas used for ?

It is a powerful data analysis library. It is built over the numpy package. It is very useful to easily carry out data manipulations. The csv files can be loaded to the data structures provided by this library and utilized for machine learning, deep learning or any kind of process. This has two powerful and flexible data structures namely Series and Dataframes.

Installation

Open anaconda prompt and type pip install pandas or conda install pandas

Pandas Series

The Series are nothing but just one-dimensional arrays. They can hold mixed data types. They can be thought of like one-dimensional lists in Python but with some new features. Let us learn them one by one with examples.

Building a series

Method 1: Import the pandas library and use the series method (constructor)

Method 2: Directly import the Series from pandas package and use it with some new name

Accesing the series elements

The index of the Series starts from 0 and ends with n-1. The elements of the Series can be accessed using these indices. The elements are mutable ie., they can be changed through the code at any instant. Look at the example below.

Customizing the index

The index can be customized which provision is not available with the lists. It has to be passed as parameter to the Series() method.

Converting other objects

Other Python objects like lists, dictionaries and tuples can also be converted into Series. Look at the example below. For the dictionary object, the key will be considered as the index. For rest one can choose between default and customized index.

Output :