If you don’t have FFmpeg installed, you can download it from here. #PYTHON FFMPEG INSTALL MATPLOTLIB DRIVER#In order for this to work, you need FFmpeg installed on your computer which is similar to a driver for multimedia files. To save the animation, add the following code to the end of the above code. The animation can then be viewed by plt.show() or can be saved as a video file by the method save(filename) of the object returned by the FuncAnimation(). The blit is important as this indicates whether the changed values must be plotted or the entire values are to be changed, which can make the animation render faster. #PYTHON FFMPEG INSTALL MATPLOTLIB UPDATE#The FuncAnimation takes the figure object, update function, frames, interval between the plotting, number of frames, blit etc. The values must be set and returned every time to indicate the changed values. The animate function is used to add additional values to the plot. The subplots are created and the x and y limits are set although this is optional. The x_data and y_data are two lists that store the values that are to be plotted. The code is as follows: import numpy as npįrom matplotlib.animation import FuncAnimationĪnimation = FuncAnimation(fig, animate, frames=np.arange(0, 11, 1), interval=10) The following code is used to animate the squares of numbers. The FuncAnimation method helps us to animate the plotting.įirst, let create a subplot as we do while plotting a regular graph. If you know to plot a graph using matplotlib, it is similar to that except that we need to plot repeatedly at specified intervals. pip install matplotlib Use matplotlib.animation in Python If you don’t have matplotlib installed already, install it using the following command. Let’s create a realtime animation using the animation features of matplotlib which can then be saved as a video as well. #PYTHON FFMPEG INSTALL MATPLOTLIB HOW TO#In this article, we will see how to use matplotlib.animation in Python.
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