With that in mind, let’s take a look at the parameters of the plt.scatter function. You need to use the parameters of the function to tell it exactly what to plot, and how to plot it. To create a scatter plot with matplotlib though, you obviously can’t just call the function. For more information on that, see the examples below. Essentially, this code assumes that you’ve imported pyplot with the code import matplotlib.pyplot as plt. Keep in mind that we’re using the syntax plt to refer to pyplot. Here, we’re calling the function as plt.scatter(). Let’s take a look.įirst of all, notice the name of the function. To do this, we’re going to use the pyplot function plt.scatter().įor the most part, the synax is relatively easy to understand. The syntax of the matplotlib scatter plotĬreating a scatter plot with matplotlib is relatively easy. It makes visualization easier for some relatively standard plot types.Īs I mentioned, one of those plots that you can create with pyplot is the scatter plot. Ultimately, the tools from pyplot give you a simpler interface into matplotlib. For example, pyplot has simple functions for creating simple plots like histograms, bar charts, and scatter plots. Specifically, pyplot provides a set of functions for creating simple visualizations. Pyplot is a sub-module of the larger matplotlib module. To put it simply, pyplot is part of matplotlib. When you start working with matplotlib, you might read about pyplot. On the other hand, the complex syntax of matplotlib can make it more complicated to quickly create simple data visualizations. This makes the syntax very adaptable for different visualization problems. You can use matplotlib to create complex visualizations, because the syntax is very detailed. Some of those data visualizations can be extremely complex. It provides Python users with a toolkit for creating data visualizations. Matplotlib is a data visualization module for the Python programming language. Before I show you how to make a scatter plot with matplotlib, let me quickly explain what matplotlib is. Everything will make more sense that way.
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