![]() ![]() ![]() You also saw that different components are combined using the + operator. The geometric object to use for drawing.In this section, you saw the three required components that you need to specify when using the grammar of graphics: You’ve just created a plot showing the evolution of the population over time! Running the above code yields the following output: Line 7: You add geom_line() to specify that the chart should be drawn as a line graph. Line 6: You add aes() to set the variable to use for each axis, in this case date and pop. Line 5: You create a plot object using ggplot(), passing the economics DataFrame to the constructor. Line 2: You import the ggplot() class as well as some useful functions from plotnine, aes() and geom_line(). Line 1: You import the economics dataset. This short code example creates a plot from the economics dataset. To get up to speed on these topics, check out Jupyter Notebook: An Introduction and Using Pandas and Python to Explore Your Dataset.ġ from plotnine.data import economics 2 from plotnine import ggplot, aes, geom_line 3 4 ( 5 ggplot ( economics ) # What data to use 6 + aes ( x = "date", y = "pop" ) # What variable to use 7 + geom_line () # Geometric object to use for drawing 8 ) This tutorial assumes that you already have some experience in Python and at least some knowledge of Jupyter Notebook and pandas. Export your data visualizations to files.Use plotnine to create visualizations in an efficient and consistent way.Combine the different elements of the grammar of graphics.plotnine is based on ggplot2 from the R programming language, so if you have a background in R, then you can consider plotnine as the equivalent of ggplot2 in Python. This tutorial focuses on plotnine since it’s one of the most mature ones. There are several Python packages that provide a grammar of graphics. ![]() It abstracts most low-level details, letting you focus on creating meaningful and beautiful visualizations for your data. A grammar of graphics is a high-level tool that allows you to create data plots in an efficient and consistent way. ![]() In this tutorial, you’ll learn how to use ggplot in Python to create data visualizations using a grammar of graphics. Watch it together with the written tutorial to deepen your understanding: Graph Your Data With Python and ggplot Watch Now This tutorial has a related video course created by the Real Python team. ![]()
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February 2023
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