![\"\"](\"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2021\/11\/ex193.png?resize=940%2C613&ssl=1\")
<\/p>\n<\/p>\n
\r\n# create an animation\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport matplotlib. Animation as manimation\r\n\r\nn = 1000\r\nx = np.linspace(0, 6*np.pi, n)\r\ny = np.sin(x)\r\n# Define the meta data for the movie\r\nFFMpegWriter = manimation.writers["ffmpeg"]\r\nmetadata = dict(title="Movie Test", artist="Matplotlib",\r\n comment="a red circle following a blue sine wave")\r\nwriter = FFMpegWriter(fps=25, metadata=metadata)\r\n# Initialize the movie\r\nfig = plt.figure()\r\n# plot the sine wave line\r\nsine_line, = plt.plot(x, y, "b")\r\nred_circle, = plt.plot([], [], "ro", markersize = 10)\r\nplt.xlabel("x")\r\nplt.ylabel("sin(x)")\r\n# Update the frames for the movie\r\nwith writer.saving(fig, "writer_test.mp4", 200):\r\n for i in range(n):\r\n x0 = x[i]\r\n y0 = y[i]\r\n red_circle.set_data(x0, y0)\r\n writer.grab_frame()\r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"# create an animation import numpy as np import matplotlib.pyplot as plt import matplotlib. Animation as manimation n = 1000 x = np.linspace(0, 6*np.pi, n) y = np.sin(x) # Define the meta data for the movie FFMpegWriter = manimation.writers["ffmpeg"] metadata = dict(title="Movie Test", artist="Matplotlib", comment="a red circle following a blue sine wave") writer = FFMpegWriter(fps=25, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","_lmt_disableupdate":"yes","_lmt_disable":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[2],"tags":[],"class_list":["post-1109","post","type-post","status-publish","format-standard","hentry","category-python"],"modified_by":"gantovnik","jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p8bH0k-hT","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":1880,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/07\/356-animation-of-plot-legend-using-python\/","url_meta":{"origin":1109,"position":0},"title":"#356 Animation of plot legend using python","author":"gantovnik","date":"2023-07-01","format":false,"excerpt":"[code language=\"python\"] # pip install celluloid #%matplotlib qt from matplotlib import pyplot as plt from celluloid import Camera import numpy as np fig = plt.figure() camera = Camera(fig) t = np.linspace(0, 2 * np.pi, 128, endpoint=False) for i in range(0,41) : p=plt.plot(t, i*np.sin(t)) plt.legend(p, [f'line {i}']) camera.snap() animation = camera.animate()\u2026","rel":"","context":"In "animation"","block_context":{"text":"animation","link":"https:\/\/gantovnik.com\/bio-tips\/category\/animation\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/07\/ex356.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/07\/ex356.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/07\/ex356.gif?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1088,"url":"https:\/\/gantovnik.com\/bio-tips\/2021\/11\/188-create-animation-using-matplotlib\/","url_meta":{"origin":1109,"position":1},"title":"#188 Create animation using matplotlib","author":"gantovnik","date":"2021-11-12","format":false,"excerpt":"[code language=\"python\"] # Make a movie out of the steps of a 2D random walk. import matplotlib.pyplot as plt from matplotlib import animation from numpy.random import random as rand # Set number of steps for each random walk. num_steps = 1000 # Create an empty figure of the desired size.\u2026","rel":"","context":"In "python"","block_context":{"text":"python","link":"https:\/\/gantovnik.com\/bio-tips\/category\/python\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2065,"url":"https:\/\/gantovnik.com\/bio-tips\/2024\/01\/408-animated-line-plot-in-python\/","url_meta":{"origin":1109,"position":2},"title":"#408 Animated line plot in python","author":"gantovnik","date":"2024-01-14","format":false,"excerpt":"[code language=\"python\"] import numpy as np from matplotlib import pyplot as plt from matplotlib.animation import FuncAnimation plt.style.use('seaborn-pastel') fig = plt.figure() n=10 ax = plt.axes(xlim=(0, n), ylim=(-2, 2)) line, = ax.plot([], [], c=\"blue\") def init(): line.set_data([], []) return line, def animate(i): n = 10 x = np.linspace(0, n, 1000) y =\u2026","rel":"","context":"In "animation"","block_context":{"text":"animation","link":"https:\/\/gantovnik.com\/bio-tips\/category\/animation\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2024\/01\/ex408-1.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2024\/01\/ex408-1.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2024\/01\/ex408-1.gif?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":3022,"url":"https:\/\/gantovnik.com\/bio-tips\/2024\/07\/442-the-partial-sums-of-the-fourier-series-for-the-square-wave-function-using-python\/","url_meta":{"origin":1109,"position":3},"title":"#442 The partial sums of the Fourier series for the square-wave function using python","author":"gantovnik","date":"2024-07-25","format":false,"excerpt":"import numpy as np import matplotlib.pyplot as plt from matplotlib.widgets import Slider nmax = 5 pi = np.pi x = np.linspace(-2*pi, 2*pi, 1001) def f(xarray): y = np.zeros_like(xarray) for ind, x in enumerate(xarray): xmod = x%(2*pi) if xmod