Pandas Tutorial · Pandas Tutorial

Pandas Getting Started

Learn all about Pandas Getting Started in this comprehensive tutorial.

5 min read intermediate

•If you have Python and PIP already installed on a system, then installation of Pandas is very easy.
•Once Pandas is installed, import it in your applications by adding the import keyword:
•Pandas is usually imported under the pd alias.
•The version string is stored under __version__ attribute.

Installation of Pandas

If you have Python and PIP already installed on a system, then installation of Pandas is very easy.

Install it using this command:

python

C:\Users\Your Name>pip install pandas

If this command fails, then use a python distribution that already has Pandas installed like, Anaconda, Spyder etc.

Once Pandas is installed, import it in your applications by adding the import keyword:

python

import pandas

Now Pandas is imported and ready to use.

python

import pandasmydataset = {  'cars': ["BMW", "Tesla", "Ford"],
    'passings': [3, 7, 2]}myvar = pandas.DataFrame(mydataset)
print(myvar)

Pandas is usually imported under the pd alias.

Note: alias: In Python alias are an alternate name for referring to the same thing.

Create an alias with the as keyword while importing:

python

import pandas as pd

Now the Pandas package can be referred to as pd instead of pandas.

python

import pandas as pd
mydataset = {  'cars': ["BMW", "Tesla", "Ford"],   'passings': 
  [3, 7, 2]}myvar = pd.DataFrame(mydataset)
print(myvar)

The version string is stored under __version__ attribute.

python

import pandas as pdprint(pd.__version__)

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