How to use Pandas Series Method top ideas

I am sharing the ideas on how to use a series constructor on a dataset using Python pandas.

A series is an object of Pandas that represents a one-dimensional labeled array capable of holding any data type (integers, strings, floating-point numbers, Python objects, etc.).

Example of Dataframe data

Dataframe data

Example of Single Dimension Data

A single dimension data you can derive as (index, value):

 Index Value
 1 10           
 2 40
 3 01
 4 99

So, in the above "Dataframe" when you pull out the data of a single column with its index, you can say it as one-dimensional data.

When one index has multiple values in brackets, you can say it as a multi-dimensional array. The example is (1, (10,20))
mySeries = pd.Series(data, index=index)
Here, pd is a Pandas object, and data refers to a Python dictionary of "ndarray" or even a scalar value.

A Series is a single column of data from a DataFrame. It is a single dimension of data, composed of just an index and the data.

How to get Values and Index using Series Method in Python Pandas

In the first example, I show how to construct single dimension data and how to get index and values from the series data.

>>>mySeries = pd.Series([10,20,30], index=[1,2, 'a'])

In the above example, in the index, I have given 'a'. So for alpha index types, you need to give in quotes.

The result from the above code is you got both values and index.

series data 


Popular Posts

Hyperledger Fabric: 20 Real Interview Questions

7 AWS Interview Questions asked in Infosys, TCS

How to Fix Python Syntax Errors Quickly

Python 'getsizeof' Command the Real Purpose

Blue Prism complete tutorials download now

Vi Editor to Quit use Esc and Colon

Python Dictionary Vs List With Examples

AWS Vs Azure Load Balancers Top Insights

How to Decode TLV Quickly

Tokenization: Vault based Vs Vault-less