In this article we will see how we create animations in MoviePy using matplotlib. MoviePy is a Python module for video editing, which can be used for basic operations on videos and GIF’s. Video is formed by the frames, combination of frames creates a video each frame is an individual image. Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK+.
In order to do this we have to do the following
1. Import matplotlib modules
2. Import moviepy modules
3. Create a numpy array
4. Create a subplot using matplotlib
5. Create a Video clip file by calling the make_frame method
6. Inside the make frame method
7. Clear the plot and create a new plot using trigonometry methods according to the frame time
8. Return the plot after converting it into numpy image.
Below is the implementation
Python3
# importing matplot libimport matplotlib.pyplot as pltimport numpy as np# importing movie py librariesfrom moviepy.editor import VideoClipfrom moviepy.video.io.bindings import mplfig_to_npimage# numpy arrayx = np.linspace(-2, 2, 200)# duration of the videoduration = 2# matplot subplotfig, ax = plt.subplots()# method to get framesdef make_frame(t): # clear ax.clear() # plotting line ax.plot(x, np.sinc(x**2) + np.sin(x + 2 * np.pi / duration * t), lw = 3) ax.set_ylim(-1.5, 2.5) # returning numpy image return mplfig_to_npimage(fig)# creating animationanimation = VideoClip(make_frame, duration = duration)# displaying animation with auto play and loopinganimation.ipython_display(fps = 20, loop = True, autoplay = True) |
Output :
Moviepy - Building video __temp__.mp4.
Moviepy - Writing video __temp__.mp4
Moviepy - Done !
Moviepy - video ready __temp__.mp4
Another example
Python3
# importing matplot libimport matplotlib.pyplot as pltimport numpy as np# importing movie py librariesfrom moviepy.editor import VideoClipfrom moviepy.video.io.bindings import mplfig_to_npimage# numpy arrayx = np.linspace(-5, 5, 100)# duration of the videoduration = 2# matplot subplotfig, ax = plt.subplots()# method to get framesdef make_frame(t): # clear ax.clear() # plotting line ax.plot(x, np.sinc(x**2) + np.cos(x + 10 * np.pi / duration * t), lw = 3) ax.set_ylim(-1.5, 2.5) # returning numpy image return mplfig_to_npimage(fig)# creating animationanimation = VideoClip(make_frame, duration = duration)# displaying animation with auto play and loopinganimation.ipython_display(fps = 20, loop = True, autoplay = True) |
Output :
Moviepy - Building video __temp__.mp4.
Moviepy - Writing video __temp__.mp4
Moviepy - Done !
Moviepy - video ready __temp__.mp4
