“The great value of a picture is when it forces us to notice what we never expected to see” — John W. Tukey. 28 May 2020 Shaun Taylor-Morgan Feed It was the first visualization library I learned to master and it has stayed with me ever since. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib. Whether you need a library that is intensely focused on accomplishing a specific task, or one that can be used for various purposes, Python has got you covered, hands down. matplotlib – The Most Popular Python Library for Data Visualization and Exploration. Matplotlib. In my previous article, I explained how the Seaborn Library can be used for advanced data visualization in Python. Seaborn is an excellent library and I always prefer to work with it, however, it is a bit of an advanced library and needs a bit of time and practice to get used to. I love working with matplotlib in Python. Matplotlib is a Python Library used for the generation of simple and powerful visualizations. The Seaborn library is also an indicator of data visualization with Python for data science. It … Apache Superset Stars: 30300, Commits: 5833, Contributors: 492. For designing attractive graphs of high level seaborn is required. With Altair, you can spend more time understanding your data and its meaning. In comparison to Matplotlib, the Seaborn is more useful because while you are preparing charts, Seaborn … Data Visualization 11. Matplotlib. This is a standard data science library that helps to generate data visualizations such as two-dimensional diagrams and graphs (histograms, scatterplots, non-Cartesian coordinates graphs). Matplotlib Stars: 12300, Commits: 36716, Contributors: 1002. Apache Superset is a Data Visualization and Data Exploration Platform 25. Actually, visualization delivers fast answers to your complex questions from data. Data Visualization 24. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. It is the most widely-used library for plotting in the Python community and is more than a decade old. No doubt, the Python Package Index is teeming with libraries suited for practically every data visualization need out there. Top Python Libraries for Data Visualization 1. Matplotlib is the most popular data visualization library of Python and is a 2D plotting library. Plotly Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite, and the source is available on GitHub. Simplify data visualization in Python with Plotly Plotly is a data plotting library with a clean interface designed to allow you to build your own APIs. 26. There is a reason why matplotlib is the most popular Python library for data visualization and exploration – the flexibility and agility it offers is unparalleled!