{"id":1103947,"date":"2025-01-08T16:15:40","date_gmt":"2025-01-08T08:15:40","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1103947.html"},"modified":"2025-01-08T16:15:42","modified_gmt":"2025-01-08T08:15:42","slug":"python%e5%a6%82%e4%bd%95%e6%9c%80%e7%ae%80%e5%8d%95%e7%9a%84%e7%bb%98%e5%88%b6%e5%90%8c%e5%bf%83%e5%9c%86","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1103947.html","title":{"rendered":"python\u5982\u4f55\u6700\u7b80\u5355\u7684\u7ed8\u5236\u540c\u5fc3\u5706"},"content":{"rendered":"

\"python\u5982\u4f55\u6700\u7b80\u5355\u7684\u7ed8\u5236\u540c\u5fc3\u5706\"<\/p>\n

Python\u7ed8\u5236\u540c\u5fc3\u5706\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u4f7f\u7528matplotlib\u5e93\uff0c\u901a\u8fc7\u5faa\u73af\u4e0d\u65ad\u7ed8\u5236\u534a\u5f84\u9012\u589e\u7684\u5706\u3002<\/strong>\u9996\u5148\uff0c\u5b89\u88c5matplotlib\u5e93\uff0c\u7136\u540e\u4f7f\u7528\u5176\u63d0\u4f9b\u7684\u51fd\u6570\u8fdb\u884c\u7ed8\u56fe\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7for\u5faa\u73af\u6765\u7ed8\u5236\u4e0d\u540c\u534a\u5f84\u7684\u5706\uff0c\u8fd9\u6837\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u540c\u5fc3\u5706\u7684\u6548\u679c\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u901a\u8fc7\u4ee3\u7801\u6765\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5Matplotlib\u5e93<\/p>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u7684\u73af\u5883\u4e2d\u5df2\u7ecf\u5b89\u88c5\u4e86matplotlib\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u7ed8\u5236\u540c\u5fc3\u5706\u7684Python\u4ee3\u7801\u793a\u4f8b<\/p>\n<\/p>\n
\u5728\u5b89\u88c5\u4e86matplotlib\u5e93\u4e4b\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u6765\u7ed8\u5236\u540c\u5fc3\u5706\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
def draw_concentric_circles(center, radii):<\/p>\n
    fig, ax = plt.subplots()<\/p>\n
    ax.set_aspect('equal')<\/p>\n
    for radius in radii:<\/p>\n
        circle = plt.Circle(center, radius, fill=False)<\/p>\n
        ax.add_patch(circle)<\/p>\n
    ax.set_xlim(center[0]-max(radii), center[0]+max(radii))<\/p>\n
    ax.set_ylim(center[1]-max(radii), center[1]+max(radii))<\/p>\n
    plt.grid(True)<\/p>\n
    plt.show()<\/p>\n
center = (0, 0)<\/p>\n
radii = np.arange(1, 10, 1)<\/p>\n
draw_concentric_circles(center, radii)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u51fd\u6570draw_concentric_circles<\/code>\uff0c\u5b83\u63a5\u53d7\u4e24\u4e2a\u53c2\u6570\uff1a\u5706\u5fc3center<\/code>\u548c\u534a\u5f84\u5217\u8868radii<\/code>\u3002\u901a\u8fc7for\u5faa\u73af\uff0c\u6211\u4eec\u53ef\u4ee5\u7ed8\u5236\u51fa\u4e0d\u540c\u534a\u5f84\u7684\u5706\uff0c\u4ece\u800c\u5b9e\u73b0\u540c\u5fc3\u5706\u7684\u6548\u679c\u3002\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u8303\u56f4\u4ee5\u53ca\u7f51\u683c\u7ebf\u53ef\u4ee5\u5e2e\u52a9\u66f4\u597d\u5730\u5c55\u793a\u540c\u5fc3\u5706<\/strong>\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u6df1\u5165\u7406\u89e3\u4ee3\u7801<\/p>\n<\/p>\n
    \n
  1. \n
    \u7ed8\u56fe\u73af\u5883\u7684\u8bbe\u7f6e<\/strong>\uff1a<\/p>\n<\/p>\n
    fig, ax = plt.subplots()<\/p>\n
    ax.set_aspect('equal')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
     \u6211\u4eec\u4f7f\u7528plt.subplots()<\/code>\u6765\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u73af\u5883\uff0c\u5e76\u901a\u8fc7ax.set_aspect('equal')<\/code>\u6765\u786e\u4fddx\u8f74\u548cy\u8f74\u7684\u6bd4\u4f8b\u76f8\u7b49\uff0c\u8fd9\u6837\u5706\u5f62\u5728\u56fe\u4e2d\u624d\u4e0d\u4f1a\u53d8\u5f62\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u7ed8\u5236\u5706\u5f62<\/strong>\uff1a<\/p>\n<\/p>\n
    for radius in radii:<\/p>\n
        circle = plt.Circle(center, radius, fill=False)<\/p>\n
        ax.add_patch(circle)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
     \u901a\u8fc7for\u5faa\u73af\u904d\u5386\u534a\u5f84\u5217\u8868radii<\/code>\uff0c\u4f7f\u7528plt.Circle<\/code>\u521b\u5efa\u5706\u5f62\u5bf9\u8c61\uff0c\u5e76\u901a\u8fc7ax.add_patch<\/code>\u5c06\u5706\u5f62\u6dfb\u52a0\u5230\u7ed8\u56fe\u73af\u5883\u4e2d\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4<\/strong>\uff1a<\/p>\n<\/p>\n
    ax.set_xlim(center[0]-max(radii), center[0]+max(radii))<\/p>\n
    ax.set_ylim(center[1]-max(radii), center[1]+max(radii))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
     \u4e3a\u4e86\u786e\u4fdd\u6240\u6709\u7684\u5706\u5f62\u90fd\u80fd\u5b8c\u6574\u663e\u793a\u5728\u56fe\u4e2d\uff0c\u6211\u4eec\u8bbe\u7f6e\u4e86\u5750\u6807\u8f74\u7684\u8303\u56f4\u3002\u5750\u6807\u8f74\u7684\u8303\u56f4\u6839\u636e\u6700\u5927\u534a\u5f84\u6765\u8fdb\u884c\u8c03\u6574\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u56db\u3001\u66f4\u591a\u7ed8\u56fe\u6280\u5de7<\/p>\n<\/p>\n
      \n
    1. \n
      \u8bbe\u7f6e\u4e0d\u540c\u989c\u8272<\/strong>\uff1a<\/p>\n
       \u5982\u679c\u4f60\u5e0c\u671b\u6bcf\u4e2a\u5706\u5f62\u6709\u4e0d\u540c\u7684\u989c\u8272\uff0c\u53ef\u4ee5\u5728for\u5faa\u73af\u4e2d\u6dfb\u52a0\u989c\u8272\u53c2\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
      colors = plt.cm.viridis(np.linspace(0, 1, len(radii)))<\/p>\n
      for radius, color in zip(radii, colors):<\/p>\n
          circle = plt.Circle(center, radius, fill=False, edgecolor=color)<\/p>\n
          ax.add_patch(circle)<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      \u6dfb\u52a0\u56fe\u4f8b<\/strong>\uff1a<\/p>\n
       \u5982\u679c\u4f60\u5e0c\u671b\u4e3a\u6bcf\u4e2a\u5706\u5f62\u6dfb\u52a0\u56fe\u4f8b\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
      for radius in radii:<\/p>\n
          circle = plt.Circle(center, radius, fill=False, label=f'Radius {radius}')<\/p>\n
          ax.add_patch(circle)<\/p>\n
      ax.legend()<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    3. \n
      \u4fdd\u5b58\u56fe\u50cf<\/strong>\uff1a<\/p>\n
       \u5982\u679c\u4f60\u5e0c\u671b\u5c06\u7ed8\u5236\u7684\u56fe\u50cf\u4fdd\u5b58\u5230\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528plt.savefig<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n
      plt.savefig('concentric_circles.png')<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e94\u3001\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n
      \u7ed8\u5236\u540c\u5fc3\u5706\u7684\u6280\u5de7\u5728\u5f88\u591a\u9886\u57df\u90fd\u6709\u5e94\u7528\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        \n
      1. \u6570\u5b66\u6559\u80b2<\/strong>\uff1a\u901a\u8fc7\u7ed8\u5236\u540c\u5fc3\u5706\uff0c\u5b66\u751f\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u5706\u7684\u6982\u5ff5\u548c\u534a\u5f84\u7684\u5173\u7cfb\u3002<\/li>\n
      2. \u7269\u7406\u5b66<\/strong>\uff1a\u5728\u7269\u7406\u5b66\u4e2d\uff0c\u540c\u5fc3\u5706\u53ef\u4ee5\u7528\u6765\u8868\u793a\u6ce2\u7684\u4f20\u64ad\u3001\u78c1\u573a\u7684\u5206\u5e03\u7b49\u3002<\/li>\n
      3. \u827a\u672f\u8bbe\u8ba1<\/strong>\uff1a\u540c\u5fc3\u5706\u7684\u56fe\u6848\u5728\u827a\u672f\u8bbe\u8ba1\u4e2d\u4e5f\u7ecf\u5e38\u88ab\u4f7f\u7528\uff0c\u53ef\u4ee5\u7528\u4e8e\u88c5\u9970\u3001\u56fe\u6848\u8bbe\u8ba1\u7b49\u3002<\/li>\n<\/ol>\n
        \u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n
        \u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u8be6\u7ec6\u4e86\u89e3\u4e86\u5982\u4f55\u4f7f\u7528Python\u7ed8\u5236\u540c\u5fc3\u5706\u3002\u4f7f\u7528matplotlib\u5e93\uff0c\u7ed3\u5408for\u5faa\u73af\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u540c\u5fc3\u5706\u7684\u7ed8\u5236<\/strong>\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u8bfb\u8005\u80fd\u591f\u638c\u63e1\u8fd9\u4e00\u6280\u5de7\uff0c\u5e76\u80fd\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7075\u6d3b\u8fd0\u7528\u3002<\/p>\n<\/p>\n
        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
         \u5982\u4f55\u4f7f\u7528Python\u7ed8\u5236\u540c\u5fc3\u5706\u7684\u57fa\u672c\u6b65\u9aa4\u662f\u4ec0\u4e48\uff1f<\/strong>
        \u8981\u7ed8\u5236\u540c\u5fc3\u5706\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684matplotlib<\/code>\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u60a8\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7\u8bbe\u7f6e\u4e00\u4e2a\u5faa\u73af\uff0c\u9010\u6e10\u589e\u52a0\u5706\u7684\u534a\u5f84\uff0c\u5e76\u4f7f\u7528plt.Circle<\/code>\u65b9\u6cd5\u7ed8\u5236\u5706\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
        import matplotlib.pyplot as plt\n\nfig, ax = plt.subplots()\nfor radius in range(1, 6):  # \u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\u8303\u56f4\n    circle = plt.Circle((0, 0), radius, fill=False)\n    ax.add_artist(circle)\n\nax.set_xlim(-6, 6)\nax.set_ylim(-6, 6)\nax.set_aspect('equal', adjustable='box')\nplt.grid()\nplt.show()\n<\/code><\/pre>\n
        \u5728\u7ed8\u5236\u540c\u5fc3\u5706\u65f6\uff0c\u5982\u4f55\u81ea\u5b9a\u4e49\u5706\u7684\u989c\u8272\u548c\u7ebf\u6761\u6837\u5f0f\uff1f<\/strong>
        \u5728\u4f7f\u7528plt.Circle<\/code>\u7ed8\u5236\u5706\u65f6\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7color<\/code>\u548clinestyle<\/code>\u53c2\u6570\u6765\u6539\u53d8\u5706\u7684\u989c\u8272\u548c\u7ebf\u6761\u6837\u5f0f\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u5c06fill<\/code>\u8bbe\u7f6e\u4e3aTrue<\/code>\u4ee5\u586b\u5145\u5706\uff0c\u5e76\u81ea\u5b9a\u4e49\u8fb9\u754c\u989c\u8272\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
        circle = plt.Circle((0, 0), radius, color='blue', fill=False, linestyle='dashed')\n<\/code><\/pre>\n
        \u662f\u5426\u53ef\u4ee5\u5728\u540c\u5fc3\u5706\u4e2d\u6dfb\u52a0\u6807\u7b7e\u6216\u6ce8\u91ca\uff1f<\/strong>
        \u5f53\u7136\u53ef\u4ee5\u3002\u5728\u7ed8\u5236\u540c\u5fc3\u5706\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528plt.text<\/code>\u65b9\u6cd5\u5728\u7279\u5b9a\u4f4d\u7f6e\u6dfb\u52a0\u6807\u7b7e\u6216\u6ce8\u91ca\u3002\u53ea\u9700\u6307\u5b9a\u6587\u672c\u7684\u4f4d\u7f6e\u548c\u5185\u5bb9\u5373\u53ef\u3002\u4f8b\u5982\uff1a<\/p>\n
        plt.text(0, 0, 'Center', fontsize=12, ha='center')\n<\/code><\/pre>\n
        \u8fd9\u79cd\u65b9\u6cd5\u4f7f\u5f97\u60a8\u7684\u540c\u5fc3\u5706\u4e0d\u4ec5\u4ec5\u662f\u56fe\u5f62\uff0c\u8fd8\u6709\u66f4\u591a\u4fe1\u606f\u548c\u8bf4\u660e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u7ed8\u5236\u540c\u5fc3\u5706\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u4f7f\u7528matplotlib\u5e93\uff0c\u901a\u8fc7\u5faa\u73af\u4e0d\u65ad\u7ed8\u5236\u534a\u5f84\u9012\u589e\u7684\u5706\u3002\u9996\u5148\uff0c\u5b89\u88c5mat […]","protected":false},"author":3,"featured_media":1103951,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103947"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1103947"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103947\/revisions"}],"predecessor-version":[{"id":1103955,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103947\/revisions\/1103955"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1103951"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1103947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1103947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1103947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}