{"id":16149,"date":"2024-03-15T12:25:53","date_gmt":"2024-03-15T12:25:53","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/how-to-create-a-dynamic-pie-chart-progress-bar-using-python\/"},"modified":"2025-08-07T00:36:21","modified_gmt":"2025-08-07T00:36:21","slug":"how-to-create-a-dynamic-pie-chart-progress-bar-using-python","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/how-to-create-a-dynamic-pie-chart-progress-bar-using-python\/","title":{"rendered":"How to create a dynamic pie chart progress bar using Py&#8230;"},"content":{"rendered":"<p>To create a dynamic pie chart progress bar using Python, you can utilize the matplotlib library and the FuncAnimation function.<\/p>\n<p>Here is a simple code example using Python to draw a dynamic pie progress bar.<\/p>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\r\n<span class=\"hljs-keyword\">from<\/span> matplotlib.animation <span class=\"hljs-keyword\">import<\/span> FuncAnimation\r\n\r\n<span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">update<\/span>(<span class=\"hljs-params\">frame<\/span>):\r\n    ax.clear()  <span class=\"hljs-comment\"># \u6e05\u7a7a\u5f53\u524d\u56fe\u5f62<\/span>\r\n    ax.axis(<span class=\"hljs-string\">'equal'<\/span>)  <span class=\"hljs-comment\"># \u8bbe\u7f6e\u76f8\u7b49\u7684\u5750\u6807\u8f74\u6bd4\u4f8b<\/span>\r\n    ax.set_xlim([-<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">1<\/span>])  <span class=\"hljs-comment\"># \u8bbe\u7f6ex\u8f74\u8303\u56f4<\/span>\r\n    ax.set_ylim([-<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">1<\/span>])  <span class=\"hljs-comment\"># \u8bbe\u7f6ey\u8f74\u8303\u56f4<\/span>\r\n    \r\n    angle = frame \/ <span class=\"hljs-number\">100<\/span> * <span class=\"hljs-number\">360<\/span>  <span class=\"hljs-comment\"># \u8ba1\u7b97\u5f53\u524d\u5e27\u7684\u89d2\u5ea6<\/span>\r\n    ax.add_patch(plt.Wedge((<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">0<\/span>), <span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">0<\/span>, angle, facecolor=<span class=\"hljs-string\">'blue'<\/span>, edgecolor=<span class=\"hljs-string\">'black'<\/span>))  <span class=\"hljs-comment\"># \u7ed8\u5236\u6247\u5f62<\/span>\r\n    \r\n    ax.text(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">0<\/span>, <span class=\"hljs-string\">f'<span class=\"hljs-subst\">{frame}<\/span>%'<\/span>, ha=<span class=\"hljs-string\">'center'<\/span>, va=<span class=\"hljs-string\">'center'<\/span>, fontsize=<span class=\"hljs-number\">12<\/span>)  <span class=\"hljs-comment\"># \u663e\u793a\u8fdb\u5ea6\u767e\u5206\u6bd4<\/span>\r\n\r\nfig, ax = plt.subplots()\r\nani = FuncAnimation(fig, update, frames=<span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">101<\/span>), interval=<span class=\"hljs-number\">200<\/span>)  <span class=\"hljs-comment\"># \u521b\u5efa\u52a8\u753b\u5bf9\u8c61<\/span>\r\n\r\nplt.show()  <span class=\"hljs-comment\"># \u663e\u793a\u52a8\u753b<\/span>\r\n<\/code><\/pre>\n<p>This code segment uses the FuncAnimation function to create an animation object. The update function is used to update the graphics for each frame. The frames parameter specifies the range of frames, and the interval parameter specifies the time interval between each frame. In the update function, the current graphic is first cleared, then a sector progress bar is drawn. The angle of the sector is calculated based on the current frame, and the sector object is added using the add_patch function. Finally, text is added at the center of the sector to display the progress percentage.<\/p>\n<p>When you run this code, you will see a dynamic fan-shaped progress bar constantly updating, displaying the current progress percentage. You can modify the parameters and styles in the code according to your needs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>To create a dynamic pie chart progress bar using Python, you can utilize the matplotlib library and the FuncAnimation function. Here is a simple code example using Python to draw a dynamic pie progress bar. import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation def update(frame): ax.clear() # \u6e05\u7a7a\u5f53\u524d\u56fe\u5f62 ax.axis(&#8216;equal&#8217;) # \u8bbe\u7f6e\u76f8\u7b49\u7684\u5750\u6807\u8f74\u6bd4\u4f8b ax.set_xlim([-1, 1]) # \u8bbe\u7f6ex\u8f74\u8303\u56f4 [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[453,1402,299,1404,1403],"class_list":["post-16149","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-development","tag-guide","tag-programming","tag-technology","tag-tutorial"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to create a dynamic pie chart progress bar using Py... - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"Learn about how to create a dynamic pie chart progress bar using python.. 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