R plotting package ggplot2 ported to Python

Posted to Software  |  Tags: ,  |  Nathan Yau

Those who use the ggplot2 package in R and do everything else in Python will appreciate this Python port of the package from yhat.

Excel makes some great looking plots, but I wouldn’t be the first to say that creating charts in Excel involves a lot of manual work. Data is messy, and exploring it requires considerable effort to clean it up, transform it, and rearrange it from one format to another. R and Python make these tasks easier, allowing you to visually inspect data in several ways quickly and without tons of effort.

The preeminent graphics packages for R and Python are ggplot2 and matplotlib respectively. Both are feature-rich, well maintained, and highly capable. Now, I’ve always been a ggplot2 guy for graphics, but I’m a Python guy for everything else. As a result, I’m constantly toggling between the two languages which can become rather tedious.

Once you get the Python library installed (and its dependencies), you’ll be able to use the same layered graphics approach as the R package, with a similar syntax.

Favorites

Top Brewery Road Trip, Routed Algorithmically

There are a lot of great craft breweries in the United States, but there is only so much time. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Every journey begins with a single sip.

Visualizing the Uncertainty in Data

Data is an abstraction, and it’s impossible to encapsulate everything it represents in real life. So there is uncertainty. Here are ways to visualize the uncertainty.

Most popular porn searches, by state

We’ve seen that we can learn from what people search …

Best Data Visualization Projects of 2016

Here are my favorites for the year.