{"id":2059,"date":"2024-01-14T05:21:52","date_gmt":"2024-01-14T13:21:52","guid":{"rendered":"https:\/\/gantovnik.com\/bio-tips\/?p=2059"},"modified":"2024-01-14T05:22:56","modified_gmt":"2024-01-14T13:22:56","slug":"407-multiple-axes-animation-using-python","status":"publish","type":"post","link":"https:\/\/gantovnik.com\/bio-tips\/2024\/01\/407-multiple-axes-animation-using-python\/","title":{"rendered":"#407 Multiple axes animation using python"},"content":{"rendered":"<p><a href=\"https:\/\/gantovnik.com\/bio-tips\/2024\/01\/407-multiple-axes-animation-using-python\/ex407\/\" rel=\"attachment wp-att-2060\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2024\/01\/ex407.gif?resize=600%2C200&#038;ssl=1\" alt=\"\" width=\"600\" height=\"200\" class=\"alignnone size-full wp-image-2060\" \/><\/a><\/p>\n<p>y=sin(x)<\/p>\n<pre class=\"brush: python; title: ; notranslate\" title=\"\">\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\n\r\nimport matplotlib.animation as animation\r\nfrom matplotlib.patches import ConnectionPatch\r\n\r\nfig, (axl, axr) = plt.subplots(\r\n    ncols=2,\r\n    sharey=True,\r\n    figsize=(6, 2),\r\n    gridspec_kw=dict(width_ratios=&#x5B;1, 3], wspace=0),\r\n)\r\naxl.set_aspect(1)\r\naxr.set_box_aspect(1 \/ 3)\r\naxr.yaxis.set_visible(False)\r\naxr.xaxis.set_ticks(&#x5B;0, np.pi, 2 * np.pi], &#x5B;&quot;0&quot;, r&quot;$\\pi$&quot;, r&quot;$2\\pi$&quot;])\r\n\r\n# draw circle with initial point in left Axes\r\nx = np.linspace(0, 2 * np.pi, 50)\r\naxl.plot(np.cos(x), np.sin(x), &quot;b&quot;)\r\npoint, = axl.plot(0, 0, &quot;o&quot;)\r\n\r\n# draw full curve to set view limits in right Axes\r\nsine, = axr.plot(x, np.sin(x),c=&quot;b&quot;)\r\n\r\n# draw connecting line between both graphs\r\ncon = ConnectionPatch(\r\n    (1, 0),\r\n    (0, 0),\r\n    &quot;data&quot;,\r\n    &quot;data&quot;,\r\n    axesA=axl,\r\n    axesB=axr,\r\n    color=&quot;C0&quot;,\r\n    ls=&quot;dotted&quot;,\r\n)\r\nfig.add_artist(con)\r\n\r\n\r\ndef animate(i):\r\n    x = np.linspace(0, i, int(i * 25 \/ np.pi))\r\n    sine.set_data(x, np.sin(x))\r\n    x, y = np.cos(i), np.sin(i)\r\n    point.set_data(&#x5B;x], &#x5B;y])\r\n    con.xy1 = x, y\r\n    con.xy2 = i, y\r\n    return point, sine, con\r\n\r\n\r\nanimation = animation.FuncAnimation(\r\n    fig,\r\n    animate,\r\n    interval=100,\r\n    blit=False,  # blitting can't be used with Figure artists\r\n    frames=x,\r\n    repeat_delay=0,\r\n)\r\n\r\nanimation.save('ex407.gif', writer='imagemagick')\r\nplt.show()\r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>y=sin(x) 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=&#x5B;1, 3], wspace=0), ) axl.set_aspect(1) axr.set_box_aspect(1 \/ 3) axr.yaxis.set_visible(False) axr.xaxis.set_ticks(&#x5B;0, np.pi, 2 * np.pi], &#x5B;&quot;0&quot;, r&quot;$\\pi$&quot;, r&quot;$2\\pi$&quot;]) # draw circle with initial point in left Axes x = np.linspace(0, [&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":[89,69,2],"tags":[],"class_list":["post-2059","post","type-post","status-publish","format-standard","hentry","category-animation","category-matplotlib","category-python"],"modified_by":"gantovnik","jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p8bH0k-xd","jetpack_likes_enabled":true,"jetpack-related-posts":[{"id":1875,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/06\/354-animation-in-python\/","url_meta":{"origin":2059,"position":0},"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":1877,"url":"https:\/\/gantovnik.com\/bio-tips\/2023\/07\/355-animation-of-domain-coloring-using-python\/","url_meta":{"origin":2059,"position":1},"title":"#355 Animation of domain coloring using python","author":"gantovnik","date":"2023-07-01","format":false,"excerpt":"[code language=\"python\"] # 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,\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\/ex355.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/07\/ex355.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2023\/07\/ex355.gif?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":1179,"url":"https:\/\/gantovnik.com\/bio-tips\/2021\/11\/204-mandelbrot-fractal-using-python-2\/","url_meta":{"origin":2059,"position":2},"title":"#205 Plots with annotation in matplotlib","author":"gantovnik","date":"2021-11-26","format":false,"excerpt":"[code language=\"python\"] import numpy as np import matplotlib.pyplot as plt plt.fig = plt.figure(1) plt.ax = plt.subplot(111) x = np.linspace(0,2*np.pi,100) # Function that modulates the amplitude of the sin function amod_sin = lambda x: (1.-0.1*np.sin(25*x))*np.sin(x) plt.ax.plot(x,np.sin(x),label = 'sin') plt.ax.plot(x, amod_sin(x), label = 'modsin') annot1=plt.ax.annotate('amplitude modulated\\n curve', (2.1,1.0), (3.2,0.5), arrowprops={'width':2,'color':'k','connectionstyle':'arc3,rad=+0.5','shrink':0.05},verticalalignment='bottom', horizontalalignment='left', fontsize=10,\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\/ex205.png?resize=350%2C200&ssl=1","width":350,"height":200},"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":2059,"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<pi: y[ind] = 1 if x%pi==0: y[ind]= np.nan return y def Fourier(x, nmax):\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\/07\/ex442_3.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2024\/07\/ex442_3.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/gantovnik.com\/bio-tips\/wp-content\/uploads\/2024\/07\/ex442_3.png?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":2059,"position":4},"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":[]},{"id":2065,"url":"https:\/\/gantovnik.com\/bio-tips\/2024\/01\/408-animated-line-plot-in-python\/","url_meta":{"origin":2059,"position":5},"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":[]}],"_links":{"self":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts\/2059","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=2059"}],"version-history":[{"count":3,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts\/2059\/revisions"}],"predecessor-version":[{"id":2063,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/posts\/2059\/revisions\/2063"}],"wp:attachment":[{"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/media?parent=2059"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/categories?post=2059"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gantovnik.com\/bio-tips\/wp-json\/wp\/v2\/tags?post=2059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}