![matplotlib ffmpeg install matplotlib ffmpeg install](https://pythonawesome.com/content/images/2021/02/animate.gif)
I used the t_data() method to draw the first i elements of the sine curve for both x and y. Its argument i is an integer starting from 0 and up to the total number of frames you want in your animation. Thanks to numpy broadcasting, it is easy to apply functions to NumPy arrays! # Define animate functionĭefine the animate(i) function. Here, I am plotting one sine wave, so I used np.linspace() to create the x-axis data and created y by calling np.sin() on x. Note that you must include a comma after line,! The plot method returns a tuple, and you need to unpack it to create the variable line. You can also think of it as initializing an empty line object that you will soon fill with data. You need to do this because animate modifies this line, and it can only modify something that already exists. Then, I did something you have probably never done before: I drew a blank line. Note that I included padding of 0.1 on each axis limit so that you can see the whole line matplotlib draws. Set up the Figure and Axes objects using plt.subplots() and – using ax.set() – set the x- and y-axis limits to the same size as a normal sine curve – from 0 to 2π on the x-axis and from -1 to 1 on the y-axis. # Set up empty Figure, Axes and Line objects Import NumPy and matplotlib using their standard aliases and FuncAnimation from matplotlib.animation. # Standard importsįrom matplotlib.animation import FuncAnimation Creating animations with matplotlib is different from creating static plots.
#Matplotlib ffmpeg install code#
Note that this code may look strange to you when you first read it. Let’s create a sin wave that matplotlib ‘draws’ for us.
![matplotlib ffmpeg install matplotlib ffmpeg install](https://all4gis.github.io/QGISFMV/images/Screenshot0.png)
Import standard modules and FuncAnimation.Have a clear picture in your mind of what you want the animation to do.To create an animation with FuncAnimation in matplotlib, follow these seven steps: To use FuncAnimation, define a function (often called animate), which matplotlib repeatedly calls to create the next frame/image for your animation. I focus on FuncAnimation as this is the more intuitive and more widely used one of the two. There are two classes you can use to create animations: FuncAnimation and ArtistAnimation. Once you understand these overarching principles, you can animate other plots effortlessly. This article covers the basic ideas for line plots, and I may cover other plots such as scatter and 3D plots in the future. The hardest thing about creating animations in matplotlib is coming up with the idea for them.