Pandas Introduction

Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation. Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc.

The Python Pandas library was initially developed by Wes McKinney in 2008. After 4 years in 2012, Chang She joined Wes as another contributor to the library.

Pandas Features

The following are the features of the Pandas Library:

  • Analyze Data
  • Manipulate Data
  • Columns can be inserted and deleted from DataFrame
  • Group the rows/ columns of a DataFrame/ Series
  • Plotting is possible
  • Read CSV/ JSON
  • Fix the inaccurate data
  • Clean the Data completely
  • Easy to handle the missing data in the form: NaN, NA, or NaT

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Read More:

Pandas - Plotting
Pandas Cheat Sheet
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