Setting the limits in advance stops any rescaling of the limits that may make the animation jumpy and unusable. The first line sets up the figure and its axis, and the second line fixes the axis limits. The first two lines will be familiar to anyone who has used Python for science, and the third line is obviously specific to animation. I’ve left the final line commented as it isn’t necessary and will not work if your matplotlib version is <1.5. This animation requires less than 20 lines of code Step one: import the necessary modulesįrom matplotlib.animation import FuncAnimation However, the first four steps will involve nothing new to anyone who has made a plot using Matplotlib.Įach step contains a few lines of code that you can copy and paste, but a script with all the code for all examples can be found here. This example walks through how to create the animation below in six steps. It’s futile to try and display these in a single plot. In many cases these datasets will have more than two dimensions for example, temperature or salinity in an ocean circulation model has four dimensions: x, y, z, t. See here for a follow up post with more elaborate animation examples.Įxploring datasets is a big part of what many scientists do these days. In many cases all I need is a quick-and-dirty script that works, rather than longer code that adheres to best practices. However, when learning I found the tutorials and examples online either daunting, overly sophisticated, or lacking explanation. Creating animations with Python’s Matplotlib is quick and easy once you know how to do it.
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