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__)

2 questions

Which of the following is true about Pandas Getting Started?

It is strictly typedIt is evaluated at runtimeIt requires explicit memory managementIt is deprecated

What is the most common pitfall when working with Pandas Getting Started?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.