10 Pandas and Matplotlib
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What is Pandas in Python?
Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks. It is built on top of another package named Numpy, which provides support for multi-dimensional arrays. As one of the most popular data wrangling packages, Pandas works well with many other data science modules inside the Python ecosystem, and is typically included in every Python distribution, from those that come with your operating system to commercial vendor distributions.
What Can you Do with Data Frames using Pandas?
Pandas makes it simple to do many of the time consuming, repetitive tasks associated with working with data, including:
Data cleansing
Data fill
Data normalization
Merges and joins
Data visualization
Statistical analysis
Data inspection
Loading and saving data
And much more
In fact, with Pandas, you can do everything that makes world-leading data scientists vote Pandas as the best data analysis and manipulation tool available.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
Create
Develop publication quality plots with just a few lines of code
Use interactive figures that can zoom, pan, update...
Customize
Take full control of line styles, font properties, axes properties...
Export and embed to a number of file formats and interactive environments
Extend
Explore tailored functionality provided by third party packages
Learn more about Matplotlib through the many external learning resources as well.