Ideas: How to Install Python3 Pandas in CentOs

Pandas is a Python Library where you can manipulate or filter your data. The aim of this post to install Pandas in CentOs quickly.


Pandas’ big use case is to make decisions in Analytics. The Pandas is an open-source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Normally you will get an error while installing Pandas with “yum install” in Centos. I searched google but I did not get the correct answer.

After my successful installation, I am sharing the correct procedure to install ‘pandas’ on CentOs quickly.

How to install Python Panda on CentOs

Pandas is a NumFOCUS sponsored project. This will help ensure the success of the development of pandas as a world-class open-source project and makes it possible to donate to the project.

Data ===> Pandas ===> Python

Pandas is a library on Python for data analysis. CentOs is Linux flavor where you can install by the following procedure as given below:

Step:1 Login into CentOs

CentOs login

Step:2 Identity where your Python Pandas package is located on the web.

Do google search…

You will get information on which Pandas package is suitable for your CentOs.

Here, I have used CentOs 7, so the link is:
epel link: http://dl.fedoraproject.org/pub/epel/7/x86_64/

Step:3 Then in CentOS, issue ‘su’ command.

$su   .....>enter
Give Password

Step:4 Afterwords you logged into ‘Super user’ directory.

[root@localhost srini]#

Step:5 You need to issue ‘dhclient’ command.

Dhclient

Step:6 Then you need to install “epel” package by giving the below command

[root@localhost srini]# rpm -Uvh 
http://dl.fedoraproject.org/pub/epel/Packages/e/7/x86_64/epel-release*rpm

Note: Whatever is latest package, you can install that package. The ‘*’ means any latest package.

How to Import Pandas in Python

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Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.