Introduction to pandas and how to install pandas

A PHP Error was encountered

Severity: Warning

Message: strtotime(): It is not safe to rely on the system's timezone settings. You are *required* to use the date.timezone setting or the date_default_timezone_set() function. In case you used any of those methods and you are still getting this warning, you most likely misspelled the timezone identifier. We selected the timezone 'UTC' for now, but please set date.timezone to select your timezone.

Filename: blog/post_details.php

Line Number: 38

Backtrace:

File: /home/solutio1/public_html/application/views/blog/post_details.php
Line: 38
Function: strtotime

File: /home/solutio1/public_html/application/controllers/Blog.php
Line: 14
Function: view

File: /home/solutio1/public_html/index.php
Line: 315
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: date(): It is not safe to rely on the system's timezone settings. You are *required* to use the date.timezone setting or the date_default_timezone_set() function. In case you used any of those methods and you are still getting this warning, you most likely misspelled the timezone identifier. We selected the timezone 'UTC' for now, but please set date.timezone to select your timezone.

Filename: blog/post_details.php

Line Number: 38

Backtrace:

File: /home/solutio1/public_html/application/views/blog/post_details.php
Line: 38
Function: date

File: /home/solutio1/public_html/application/controllers/Blog.php
Line: 14
Function: view

File: /home/solutio1/public_html/index.php
Line: 315
Function: require_once

2019-08-19
Omsingh Bais

 Pandas

 

Pandas is an open-source popular python data analysis library which provides high-performance data manipulation and analysis using its powerful data structures. The DataFrame is one of these structures.

Python with Pandas is used in a wide range of fields such as finance, economics, Statistics, analytics, etc.

Features of pandas : 

  1. handling of data : It provides a really fast and efficient way to manage and explore data using dataframe and manipulate it efficiently.
  2. Deals with missing data : Pandas handles the missing values properly so it will not affect our study results.
  3. Cleaning the data : Data is really messy, and to get it ready for analysis over such data, We clean our data for the accurate result, and Pandas has that feature. 
  4. It support multiples file format : Data can be in any format such as JSON, CSV,Excel, HDF5, XML, HTML, Imageas and this make python best among all other libraries.
  5. Visualization : Pandas have an in-built feature to  plot your data and see the various kinds of visualization.
  6. Merging of datasets : Pandas helps to merge various datasets efficiently so that we can perform our manipulation on data without any problems and  analyze the data.
  7. Pandas Supports : Pandas easily collaborate with other python package such as numpy and matplolib.

Python doesn't come with Pandas Package . Pandas built top of numpy. Before go with pandas make sure numpy is already install. To install numpy use follwing command.

pip install numpy

Afte installing the numpy, Now install the pandas using following command.

pip install pandas

 

Note : If you install Anaconda Python Library, Pandas will be installed by default.

 

 


About author

Card image cap
Omsingh Bais

Having more than 1+ year experience in the data scientist domain.!

-Data Scientist

0 Comments