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3 Python Visualization Libraries You MUST Know as A Data Scientist

#artificialintelligence

Those three libraries are very basic but extremely powerful in the Data Science area and are enough of 95% of data visualization jobs in the industry. Some next-level tools such as Plotly or Bokeh, also build upon Matplotplib, get you the power of building interactive plots and serves on Web applications.


Matplotlib: Python's handy data visualization library

#artificialintelligence

Matplotlib is a visualization library in Python for 2D and 3D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in 2002. One of the greatest benefits of visualization is that it allows visual access to large amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram etc. Matplotlib is the most popular data visualization library in Python.


Interactive Data Visualization using Bokeh (in Python)

@machinelearnbot

Recently, I was going through a video from SciPy 2015 conference, "Building Python Data Apps with Blaze and Bokeh", recently held at Austin, Texas, USA. I couldn't stop thinking about the power these two libraries provide to data scientists using Python across the globe. In this article, I will introduce you to the world of possibilities in data visualization using Bokeh and why I think this is a must learn / use library for every data scientist out there.


Python Visualization Libraries List

@machinelearnbot

Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.


Python Visualization Libraries List

@machinelearnbot

Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.