How to install Pandas in Python

Installing Python pandas on Windows


Check If python is installed on your system, If yes then you should be able to get its version using command prompt:


C:\Users\dipanshuasri>python –version

Python 3.8.2

If not installed then please visit

Python Pandas can be installed on windows in 2 ways:

  1. Using Pip (package manager)
  2. Using Anaconda Navigator

Install Pandas using pip

  1. Go to Windows command prompt and type :

    C:\Users\Dipanshu> pip install pandas

  2. If above command does not work then you need admin access to run or try using below command i.e pip install — user <package-name to be installed>


    C:\Users\Dipanshu> pip install –user pandas

Installation steps using Anaconda Navigator

  1. Press Windows Start menu button and type Anaconda Navigator.
  2. Click on Environments Tab on the left side of the screen and click on create button(+) to create a new Pandas environment.
  3. Enter new environment name e.g MyPandas and select the python version for that and click on the Create button.
  4. After clicking create button you will see an entry “MyPandas” below to base(root). Click on the MyPandas play button to activate the environment.
  5. 5. In the above package names , select “All “ to filter from the available options.

  6. Now in the Search Bar , Type “pandas”. Select the pandas library from list .Click on the Apply button.
  7. Then a pop up will arise to mention the list and number of packages in Pandas bundle. Click on Apply to get them installed.

  8. 7.Now the packages have been installed. Click on the play button against “MyPandas”.Then you will get the list of options to open pandas. In our case we clicked on “Open Terminal”.

  9. 8.After clicking On Terminal you will notice the name “MyPandas” on the terminal. Cheers you did it.

Installing Python pandas on Linux

Pandas is a part of Anaconda’s distribution.

It can be installed on Linux in many ways:

  1. Using pip installer package

  2. Using Pycharm IDE

  3. 3. Using Anaconda

Pre-Requisites :

Make sure that python is installed on your system.

For ex: Open your terminal and enter below command

$ python –version

Python 2.7.15+

Installing Pandas using pip package

It is the most easy way to install pandas package. PIP is a package management tool which is used to install and manage software packages or libraries written in python.They libraries are stored in online repository termed as Python package index i.e PyPI.

Go to Linux Terminal and enter below :

$pip install pandas

This command will install pandas onto your system.

Installing pandas using PyCharm

Pandas can be installed using Pycharm community edition.It is one of the best opensource IDE developed by jetBrains Community. To download please visit this official website link:

After installing Pycharm , Open it.

Then Go to File -> Settings

Search for Python Interpreter.

Then click + symbol on the right side of pop-up. You will get another pop-up. Now enter pandas and click Install package.

Installing pandas using Anaconda distribution

It is the most desired open source tool for Data analysis and machine learning.

First install anaconda on your system if you have not it already :

  1. Go to the official site :

  2. Click on download and choose the python installer for the python version you want to install i.e 2.7.+ or 3.7+ and choose either 32 bit or 64 bit.

  3. Go to the location where you kept it :

    In my case it is present in below download section. But i would suggest you to keep it in /tmp directory or at any custom location.

    $cd /Downloads

  4. Run the script as below:

    Then enter the options which it prompts according to your requirements.

  5. At the end you will see a thanks message. Cheers you are almost done.

  6. Verify Installation

    Close your shell/terminal and open it again from same location.

    You will notice a prefix(base) .

    Or you can try $conda info

  7. Conda by-default contains the pandas lib in Anaconda distribution or packages.

    To verfiy it please type: $ conda list

    You will get the entire list in alphabetical order.

Related Posts

  • Copy DataFrame in Python
    10 July

    Copy DataFrame in Pandas

    This articles provide different ways to copy DataFrame in Pandas.

  • Pandas convert column to int
    18 June

    Pandas convert column to int

    Table of ContentsUse the to_numeric() function to convert column to intUse the astype() function to convert column to intUse the infer_objects() function to convert column to intUse the convert_dtypes() function to convert column to int Pandas is a library set up on top of the Python programming language and is mostly used for the purpose […]

  • 20 September

    Reorder the columns of pandas dataframe in Python

    Table of ContentsUsing reindex methodUsing column selection through column nameUsing column selection through column index In this post, we will see 3 different methods to Reordering the columns of Pandas Dataframe : Using reindex method You can use DataFrame’s reindex() method to reorder columns of pandas DataFrame. You need to pass columns=[$list_of_columns] to reindex() method […]

  • 08 September

    Pandas create Dataframe from Dictionary

    Table of ContentsUsing a Dataframe() method of pandas.Using DataFrame.from_dict() method. In this tutorial, We will see different ways of Creating a pandas Dataframe from Dictionary . Using a Dataframe() method of pandas. Example 1 : When we only pass a dictionary in DataFrame() method then it shows columns according to ascending order of their names […]

  • 08 September

    Pandas Convert list to DataFrame

    In this tutorial, We will see different ways of Creating a pandas Dataframe from List. You can use Dataframe() method of pandas library to convert list to DataFrame. so first we have to import pandas library into the python file using import statement. So let’s see the various examples on creating a Dataframe with the […]

  • 26 May

    Pandas DataFrame to CSV

    Table of ContentsSyntax of DataFrame.to_csv()DataFrame sample dataConvert pandas DataFrame to csv Save CSV file without index column Save CSV file with Custom columns header Save CSV file with selected columns Save CSV file with custom delimiter Save CSV file without header Append data to CSV file Save CSV file with index_label In this post, we […]

Leave a Reply

Your email address will not be published. Required fields are marked *

Subscribe to our newletter

Get quality tutorials to your inbox. Subscribe now.