{"id":1877,"date":"2023-07-01T05:12:05","date_gmt":"2023-07-01T12:12:05","guid":{"rendered":"https:\/\/gantovnik.com\/bio-tips\/?p=1877"},"modified":"2023-07-01T05:12:05","modified_gmt":"2023-07-01T12:12:05","slug":"355-animation-of-domain-coloring-using-python","status":"publish","type":"post","link":"https:\/\/gantovnik.com\/bio-tips\/2023\/07\/355-animation-of-domain-coloring-using-python\/","title":{"rendered":"#355 Animation of domain coloring using python"},"content":{"rendered":"<p><a href=\"https:\/\/gantovnik.com\/bio-tips\/2023\/07\/355-animation-of-domain-coloring-using-python\/ex355\/\" rel=\"attachment wp-att-1878\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/07\/ex355.gif?resize=640%2C480&#038;ssl=1\" alt=\"\" width=\"640\" height=\"480\" class=\"alignnone size-full wp-image-1878\" \/><\/a><\/p>\n<pre class=\"brush: python; title: ; notranslate\" title=\"\">\r\n# pip install celluloid\r\n#%matplotlib qt\r\nimport numpy as np\r\nfrom matplotlib import pyplot as plt\r\nfrom matplotlib.colors import hsv_to_rgb\r\nfrom celluloid import Camera\r\n\r\nfig = plt.figure()\r\ncamera = Camera(fig)\r\nfor a in np.linspace(0, 2 * np.pi, 30, endpoint=False):\r\n    x = np.linspace(-3, 3, 800)\r\n    X, Y = np.meshgrid(x, x)\r\n    x = X + 1j * Y\r\n    y = (x ** 2 - 2.5) * (x - 2.5 * 1j) * (x + 2.5 * 1j) \\\r\n        * (x - 2 - 1j) ** 2 \/ ((x - np.exp(1j * a)) ** 2\r\n        * (x - np.exp(1j * 2 * a)) ** 2)\r\n    H = np.angle(y) \/ (2 * np.pi) + .5\r\n    r = np.log2(1. + np.abs(y))\r\n    S = (1. + np.abs(np.sin(2. * np.pi * r))) \/ 2.\r\n    V = (1. + np.abs(np.cos(2. * np.pi * r))) \/ 2.\r\n    rgb = hsv_to_rgb(np.dstack((H, S, V)))\r\n    plt.imshow(rgb)\r\n    camera.snap()\r\n\r\nanimation = camera.animate()\r\nanimation.save('ex355.gif', writer='PillowWriter', fps=24)\r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"<p># pip install celluloid #%matplotlib qt import numpy as np from matplotlib import pyplot as plt from matplotlib.colors import hsv_to_rgb from celluloid import Camera fig = plt.figure() camera = Camera(fig) for a in np.linspace(0, 2 * np.pi, 30, endpoint=False): x = np.linspace(-3, 3, 800) X, Y = np.meshgrid(x, x) x = X + 1j * [&hellip;]<\/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_post_was_ever_published":false,"_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":""},"categories":[89,2],"tags":[],"class_list":["post-1877","post","type-post","status-publish","format-standard","hentry","category-animation","category-python"],"modified_by":"gantovnik","jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p8bH0k-uh","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":1877,"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 &quot;animation&quot;","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":1875,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/06\/354-animation-in-python\/","url_meta":{"origin":1877,"position":1},"title":"#354 Animation in python","author":"gantovnik","date":"2023-06-30","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, axes = plt.subplots(2) camera = Camera(fig) t = np.linspace(0, 2.0*np.pi, 128, endpoint=False) for i in t: axes[0].plot(t, np.sin(t + i), color='blue') axes[1].plot(t, np.sin(t - i), color='blue') camera.snap()\u2026","rel":"","context":"In &quot;animation&quot;","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\/06\/ex354.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/06\/ex354.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/06\/ex354.gif?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":2059,"url":"https:\/\/gantovnik.com\/bio-tips\/2024\/01\/407-multiple-axes-animation-using-python\/","url_meta":{"origin":1877,"position":2},"title":"#407 Multiple axes animation using python","author":"gantovnik","date":"2024-01-14","format":false,"excerpt":"y=sin(x) [code language=\"python\"] import matplotlib.pyplot as plt import numpy as np import matplotlib.animation as animation from matplotlib.patches import ConnectionPatch fig, (axl, axr) = plt.subplots( ncols=2, sharey=True, figsize=(6, 2), gridspec_kw=dict(width_ratios=[1, 3], wspace=0), ) axl.set_aspect(1) axr.set_box_aspect(1 \/ 3) axr.yaxis.set_visible(False) axr.xaxis.set_ticks([0, np.pi, 2 * np.pi], [\"0\", r\"$\\pi$\", r\"$2\\pi$\"]) # draw circle with initial\u2026","rel":"","context":"In &quot;animation&quot;","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\/ex407.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2024\/01\/ex407.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2024\/01\/ex407.gif?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":197,"url":"https:\/\/gantovnik.com\/bio-tips\/2019\/01\/julia-fractal\/","url_meta":{"origin":1877,"position":3},"title":"Julia fractal","author":"gantovnik","date":"2019-01-10","format":false,"excerpt":"import os import numba import numpy as np import matplotlib.pyplot as plt os.chdir(r'D:\\projects\\wordpress\\ex40') os.getcwd() def py_julia_fractal(z_re, z_im, j): for m in range(len(z_re)): for n in range(len(z_im)): z = z_re[m] + 1j * z_im[n] for t in range(256): z = z ** 2 - 0.05 + 0.68j if np.abs(z) > 2.0:\u2026","rel":"","context":"In &quot;python&quot;","block_context":{"text":"python","link":"https:\/\/gantovnik.com\/bio-tips\/category\/python\/"},"img":{"alt_text":"example40","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2019\/01\/example40.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2019\/01\/example40.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2019\/01\/example40.png?resize=525%2C300 1.5x"},"classes":[]},{"id":2065,"url":"https:\/\/gantovnik.com\/bio-tips\/2024\/01\/408-animated-line-plot-in-python\/","url_meta":{"origin":1877,"position":4},"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 &quot;animation&quot;","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":1109,"url":"https:\/\/gantovnik.com\/bio-tips\/2021\/11\/193-animation-using-python\/","url_meta":{"origin":1877,"position":5},"title":"#193 Animation using python","author":"gantovnik","date":"2021-11-19","format":false,"excerpt":"[code language=\"python\"] # 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\u2026","rel":"","context":"In &quot;python&quot;","block_context":{"text":"python","link":"https:\/\/gantovnik.com\/bio-tips\/category\/python\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2021\/11\/ex193.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2021\/11\/ex193.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2021\/11\/ex193.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2021\/11\/ex193.png?resize=700%2C400&ssl=1 2x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts\/1877","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/comments?post=1877"}],"version-history":[{"count":0,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts\/1877\/revisions"}],"wp:attachment":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/media?parent=1877"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/categories?post=1877"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/tags?post=1877"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}