Plotly Express: a Walkthrough

This notebook is the executable version of the example we walk through in our Medium announcement article introducing Plotly Express: a terse, consistent, high-level wrapper around Plotly.py for rapid data exploration and figure generation.

Once you import Plotly Express (aka px), most plots are made with just one function call that accepts a tidy Pandas data frame, and a simple description of the plot you want to make. For example if you want a simple scatter plot, it’s just px.scatter(data, x="column_name", y="column_name"). Here’s an example with the Gapminder dataset – which comes built-in! – showing life expectancy vs GPD per capita by country for 2007:

In [1]:
import plotly_express as px
gapminder = px.data.gapminder()
gapminder2007 = gapminder.query("year == 2007")

px.scatter(gapminder2007, x="gdpPercap", y="lifeExp")