{"id":1093804,"date":"2025-01-08T14:34:44","date_gmt":"2025-01-08T06:34:44","guid":{"rendered":""},"modified":"2025-01-08T14:34:46","modified_gmt":"2025-01-08T06:34:46","slug":"python%e4%b8%adplot%e7%94%bb%e7%9a%84%e5%9b%be%e5%a6%82%e4%bd%95%e7%82%b9%e5%87%bb-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1093804.html","title":{"rendered":"python\u4e2dplot\u753b\u7684\u56fe\u5982\u4f55\u70b9\u51fb"},"content":{"rendered":"

\"python\u4e2dplot\u753b\u7684\u56fe\u5982\u4f55\u70b9\u51fb\"<\/p>\n

Python\u4e2dplot\u753b\u7684\u56fe\u5982\u4f55\u70b9\u51fb<\/strong>\uff1a\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\uff0c\u5e76\u901a\u8fc7\u4ea4\u4e92\u529f\u80fd\u5b9e\u73b0\u70b9\u51fb\u4e8b\u4ef6\u3002\u901a\u8fc7Matplotlib\u7684\u4e8b\u4ef6\u5904\u7406\u673a\u5236\u3001\u4f7f\u7528mpl_connect<\/code>\u65b9\u6cd5\u3001\u7f16\u5199\u56de\u8c03\u51fd\u6570<\/strong>\uff0c\u4f60\u53ef\u4ee5\u5728\u56fe\u5f62\u4e2d\u6355\u6349\u70b9\u51fb\u4e8b\u4ef6\u5e76\u8fdb\u884c\u76f8\u5e94\u7684\u64cd\u4f5c\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n<\/p>\n

\u4e00\u3001Matplotlib\u7684\u4e8b\u4ef6\u5904\u7406\u673a\u5236<\/h3>\n<\/p>\n

Matplotlib\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u652f\u6301\u591a\u79cd\u4e8b\u4ef6\u5904\u7406\u673a\u5236\uff0c\u5305\u62ec\u9f20\u6807\u70b9\u51fb\u3001\u952e\u76d8\u6309\u952e\u7b49\u3002\u53ef\u4ee5\u901a\u8fc7mpl_connect<\/code>\u65b9\u6cd5\u5c06\u7279\u5b9a\u7684\u4e8b\u4ef6\u4e0e\u56de\u8c03\u51fd\u6570\u7ed1\u5b9a\uff0c\u4ece\u800c\u5b9e\u73b0\u4ea4\u4e92\u529f\u80fd\u3002<\/p>\n<\/p>\n

1\u3001\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n

\u5728Matplotlib\u4e2d\uff0c\u4e8b\u4ef6\u5904\u7406\u673a\u5236\u975e\u5e38\u7075\u6d3b\u3002\u4f60\u53ef\u4ee5\u5c06\u9f20\u6807\u70b9\u51fb\u4e8b\u4ef6\u7ed1\u5b9a\u5230\u7279\u5b9a\u7684\u56de\u8c03\u51fd\u6570\u4e2d\uff0c\u8be5\u51fd\u6570\u5c06\u5728\u4e8b\u4ef6\u53d1\u751f\u65f6\u88ab\u8c03\u7528\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
\u5b9a\u4e49\u56de\u8c03\u51fd\u6570<\/strong><\/h2>\n
def on_click(event):<\/p>\n
    print(f'You clicked at: ({event.xdata}, {event.ydata})')<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.plot([1, 2, 3], [4, 5, 6])<\/p>\n
\u7ed1\u5b9a\u70b9\u51fb\u4e8b\u4ef6<\/strong><\/h2>\n
cid = fig.canvas.mpl_connect('button_press_event', on_click)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u56de\u8c03\u51fd\u6570on_click<\/code>\uff0c\u5b83\u5c06\u5728\u9f20\u6807\u70b9\u51fb\u56fe\u5f62\u65f6\u8f93\u51fa\u70b9\u51fb\u7684\u4f4d\u7f6e\u3002\u901a\u8fc7mpl_connect<\/code>\u65b9\u6cd5\uff0c\u6211\u4eec\u5c06button_press_event<\/code>\u4e8b\u4ef6\u4e0e\u56de\u8c03\u51fd\u6570\u7ed1\u5b9a\u3002<\/p>\n<\/p>\n
2\u3001\u4e8b\u4ef6\u7c7b\u578b<\/h4>\n<\/p>\n
Matplotlib\u652f\u6301\u591a\u79cd\u4e8b\u4ef6\u7c7b\u578b\uff0c\u5305\u62ec\u9f20\u6807\u4e8b\u4ef6\u3001\u952e\u76d8\u4e8b\u4ef6\u7b49\u3002\u5e38\u7528\u7684\u4e8b\u4ef6\u7c7b\u578b\u6709\uff1a<\/p>\n<\/p>\n
    \n
  • button_press_event<\/code>\uff1a\u9f20\u6807\u6309\u4e0b\u4e8b\u4ef6<\/li>\n
  • button_release_event<\/code>\uff1a\u9f20\u6807\u91ca\u653e\u4e8b\u4ef6<\/li>\n
  • motion_notify_event<\/code>\uff1a\u9f20\u6807\u79fb\u52a8\u4e8b\u4ef6<\/li>\n
  • key_press_event<\/code>\uff1a\u952e\u76d8\u6309\u4e0b\u4e8b\u4ef6<\/li>\n
  • key_release_event<\/code>\uff1a\u952e\u76d8\u91ca\u653e\u4e8b\u4ef6<\/li>\n<\/ul>\n
    \u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u4e8b\u4ef6\u7c7b\u578b\u8fdb\u884c\u7ed1\u5b9a\u3002<\/p>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528mpl_connect<\/code>\u65b9\u6cd5<\/h3>\n<\/p>\n
    mpl_connect<\/code>\u65b9\u6cd5\u662fMatplotlib\u4e8b\u4ef6\u5904\u7406\u673a\u5236\u7684\u6838\u5fc3\uff0c\u901a\u8fc7\u5b83\u53ef\u4ee5\u5c06\u4e8b\u4ef6\u4e0e\u56de\u8c03\u51fd\u6570\u7ed1\u5b9a\u3002\u8be5\u65b9\u6cd5\u7684\u57fa\u672c\u8bed\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
    cid = figure.canvas.mpl_connect(event, callback)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5176\u4e2d\uff0cevent<\/code>\u662f\u4e8b\u4ef6\u7c7b\u578b\u7684\u5b57\u7b26\u4e32\u8868\u793a\uff0ccallback<\/code>\u662f\u56de\u8c03\u51fd\u6570\u3002mpl_connect<\/code>\u65b9\u6cd5\u8fd4\u56de\u4e00\u4e2a\u8fde\u63a5ID\uff0c\u53ef\u4ee5\u7528\u4e8e\u540e\u7eed\u7684\u4e8b\u4ef6\u89e3\u7ed1\u3002<\/p>\n<\/p>\n
    1\u3001\u89e3\u7ed1\u4e8b\u4ef6<\/h4>\n<\/p>\n
    \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u89e3\u7ed1\u4e8b\u4ef6\u3002\u53ef\u4ee5\u4f7f\u7528mpl_disconnect<\/code>\u65b9\u6cd5\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
    figure.canvas.mpl_disconnect(cid)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5176\u4e2d\uff0ccid<\/code>\u662f\u8fde\u63a5ID\uff0c\u901a\u8fc7mpl_connect<\/code>\u65b9\u6cd5\u8fd4\u56de\u3002<\/p>\n<\/p>\n
    2\u3001\u591a\u4e2a\u4e8b\u4ef6\u7ed1\u5b9a<\/h4>\n<\/p>\n
    \u4f60\u53ef\u4ee5\u5c06\u591a\u4e2a\u4e8b\u4ef6\u7ed1\u5b9a\u5230\u540c\u4e00\u4e2a\u56de\u8c03\u51fd\u6570\u4e2d\uff0c\u6216\u8005\u5c06\u4e0d\u540c\u7684\u4e8b\u4ef6\u7ed1\u5b9a\u5230\u4e0d\u540c\u7684\u56de\u8c03\u51fd\u6570\u4e2d\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    def on_click(event):<\/p>\n
        print(f'You clicked at: ({event.xdata}, {event.ydata})')<\/p>\n
    def on_key(event):<\/p>\n
        print(f'Key pressed: {event.key}')<\/p>\n
    fig, ax = plt.subplots()<\/p>\n
    ax.plot([1, 2, 3], [4, 5, 6])<\/p>\n
    \u7ed1\u5b9a\u70b9\u51fb\u4e8b\u4ef6<\/strong><\/h2>\n
    fig.canvas.mpl_connect('button_press_event', on_click)<\/p>\n
    \u7ed1\u5b9a\u952e\u76d8\u4e8b\u4ef6<\/strong><\/h2>\n
    fig.canvas.mpl_connect('key_press_event', on_key)<\/p>\n
    plt.show()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5206\u522b\u7ed1\u5b9a\u4e86\u9f20\u6807\u70b9\u51fb\u4e8b\u4ef6\u548c\u952e\u76d8\u6309\u4e0b\u4e8b\u4ef6\uff0c\u5e76\u5b9a\u4e49\u4e86\u4e0d\u540c\u7684\u56de\u8c03\u51fd\u6570\u3002<\/p>\n<\/p>\n
    \u4e09\u3001\u7f16\u5199\u56de\u8c03\u51fd\u6570<\/h3>\n<\/p>\n
    \u56de\u8c03\u51fd\u6570\u662f\u4e8b\u4ef6\u5904\u7406\u673a\u5236\u7684\u6838\u5fc3\u90e8\u5206\uff0c\u5b83\u5c06\u5728\u4e8b\u4ef6\u53d1\u751f\u65f6\u88ab\u8c03\u7528\u3002\u56de\u8c03\u51fd\u6570\u9700\u8981\u63a5\u53d7\u4e00\u4e2a\u4e8b\u4ef6\u5bf9\u8c61\u4f5c\u4e3a\u53c2\u6570\uff0c\u8be5\u5bf9\u8c61\u5305\u542b\u4e86\u4e8b\u4ef6\u7684\u8be6\u7ec6\u4fe1\u606f\u3002<\/p>\n<\/p>\n
    1\u3001\u4e8b\u4ef6\u5bf9\u8c61<\/h4>\n<\/p>\n
    \u4e8b\u4ef6\u5bf9\u8c61\u5305\u542b\u4e86\u4e0e\u4e8b\u4ef6\u76f8\u5173\u7684\u5404\u79cd\u4fe1\u606f\uff0c\u5305\u62ec\u4e8b\u4ef6\u7c7b\u578b\u3001\u9f20\u6807\u4f4d\u7f6e\u3001\u952e\u76d8\u6309\u952e\u7b49\u3002\u5e38\u7528\u7684\u5c5e\u6027\u6709\uff1a<\/p>\n<\/p>\n
      \n
    • x<\/code>\u3001y<\/code>\uff1a\u9f20\u6807\u5728\u5c4f\u5e55\u4e0a\u7684\u4f4d\u7f6e<\/li>\n
    • xdata<\/code>\u3001ydata<\/code>\uff1a\u9f20\u6807\u5728\u6570\u636e\u5750\u6807\u7cfb\u4e2d\u7684\u4f4d\u7f6e<\/li>\n
    • button<\/code>\uff1a\u9f20\u6807\u6309\u952e<\/li>\n
    • key<\/code>\uff1a\u952e\u76d8\u6309\u952e<\/li>\n<\/ul>\n
      \u4f60\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee\u8fd9\u4e9b\u5c5e\u6027\u6765\u83b7\u53d6\u4e8b\u4ef6\u7684\u8be6\u7ec6\u4fe1\u606f\u3002<\/p>\n<\/p>\n
      2\u3001\u793a\u4f8b\u56de\u8c03\u51fd\u6570<\/h4>\n<\/p>\n
      \u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\u56de\u8c03\u51fd\u6570\uff0c\u5b83\u5c06\u5728\u9f20\u6807\u70b9\u51fb\u65f6\u8f93\u51fa\u70b9\u51fb\u7684\u4f4d\u7f6e\u548c\u6309\u4e0b\u7684\u9f20\u6807\u6309\u94ae\uff1a<\/p>\n<\/p>\n
      def on_click(event):<\/p>\n
          print(f'You clicked at: ({event.xdata}, {event.ydata}) with button {event.button}')<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5728\u56de\u8c03\u51fd\u6570\u4e2d\u6dfb\u52a0\u66f4\u591a\u7684\u5904\u7406\u903b\u8f91\uff0c\u4f8b\u5982\u66f4\u65b0\u56fe\u5f62\u3001\u663e\u793a\u4fe1\u606f\u7b49\u3002<\/p>\n<\/p>\n
      \u56db\u3001\u7efc\u5408\u793a\u4f8b<\/h3>\n<\/p>\n
      \u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728Matplotlib\u4e2d\u5b9e\u73b0\u56fe\u5f62\u70b9\u51fb\u4e8b\u4ef6\uff0c\u6211\u4eec\u5c06\u7ed3\u5408\u524d\u9762\u4ecb\u7ecd\u7684\u5185\u5bb9\uff0c\u7ed9\u51fa\u4e00\u4e2a\u7efc\u5408\u793a\u4f8b\u3002\u8fd9\u4e2a\u793a\u4f8b\u5c06\u5728\u9f20\u6807\u70b9\u51fb\u56fe\u5f62\u65f6\uff0c\u6dfb\u52a0\u4e00\u4e2a\u6807\u8bb0\u70b9\u5e76\u663e\u793a\u70b9\u51fb\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      \u5b9a\u4e49\u56de\u8c03\u51fd\u6570<\/strong><\/h2>\n
      def on_click(event):<\/p>\n
          if event.inaxes:  # \u68c0\u67e5\u70b9\u51fb\u662f\u5426\u5728\u5750\u6807\u8f74\u5185<\/p>\n
              x, y = event.xdata, event.ydata<\/p>\n
              print(f'You clicked at: ({x}, {y})')<\/p>\n
              # \u5728\u70b9\u51fb\u4f4d\u7f6e\u6dfb\u52a0\u6807\u8bb0\u70b9<\/p>\n
              event.inaxes.plot(x, y, 'ro')<\/p>\n
              event.inaxes.figure.canvas.draw()<\/p>\n
      fig, ax = plt.subplots()<\/p>\n
      ax.plot([1, 2, 3], [4, 5, 6])<\/p>\n
      \u7ed1\u5b9a\u70b9\u51fb\u4e8b\u4ef6<\/strong><\/h2>\n
      fig.canvas.mpl_connect('button_press_event', on_click)<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u56de\u8c03\u51fd\u6570on_click<\/code>\uff0c\u5b83\u5c06\u5728\u9f20\u6807\u70b9\u51fb\u56fe\u5f62\u65f6\u6dfb\u52a0\u4e00\u4e2a\u7ea2\u8272\u7684\u6807\u8bb0\u70b9\u5e76\u8f93\u51fa\u70b9\u51fb\u7684\u4f4d\u7f6e\u3002\u901a\u8fc7mpl_connect<\/code>\u65b9\u6cd5\uff0c\u6211\u4eec\u5c06button_press_event<\/code>\u4e8b\u4ef6\u4e0e\u56de\u8c03\u51fd\u6570\u7ed1\u5b9a\u3002<\/p>\n<\/p>\n
      \u8fd9\u4e2a\u7efc\u5408\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728Matplotlib\u4e2d\u5b9e\u73b0\u56fe\u5f62\u70b9\u51fb\u4e8b\u4ef6\uff0c\u5e76\u5728\u56fe\u5f62\u4e2d\u8fdb\u884c\u4ea4\u4e92\u64cd\u4f5c\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u6269\u5c55\u548c\u4fee\u6539\u56de\u8c03\u51fd\u6570\uff0c\u4ee5\u5b9e\u73b0\u66f4\u591a\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
      \u4e94\u3001\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u7684\u5e94\u7528<\/h3>\n<\/p>\n
      \u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u56fe\u5f62\u70b9\u51fb\u4e8b\u4ef6\u53ef\u4ee5\u7528\u4e8e\u5b9e\u73b0\u591a\u79cd\u4ea4\u4e92\u529f\u80fd\uff0c\u4f8b\u5982\u6570\u636e\u70b9\u9009\u62e9\u3001\u533a\u57df\u653e\u5927\u3001\u4fe1\u606f\u663e\u793a\u7b49\u3002\u4e0b\u9762\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
      1\u3001\u6570\u636e\u70b9\u9009\u62e9<\/h4>\n<\/p>\n
      \u5728\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u8fc7\u7a0b\u4e2d\uff0c\u7528\u6237\u53ef\u80fd\u9700\u8981\u9009\u62e9\u7279\u5b9a\u7684\u6570\u636e\u70b9\u4ee5\u67e5\u770b\u8be6\u7ec6\u4fe1\u606f\u6216\u8fdb\u884c\u8fdb\u4e00\u6b65\u5206\u6790\u3002\u901a\u8fc7\u56fe\u5f62\u70b9\u51fb\u4e8b\u4ef6\uff0c\u53ef\u4ee5\u5b9e\u73b0\u6570\u636e\u70b9\u9009\u62e9\u529f\u80fd\u3002<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      import numpy as np<\/p>\n
      \u751f\u6210\u968f\u673a\u6570\u636e<\/strong><\/h2>\n
      x = np.random.rand(10)<\/p>\n
      y = np.random.rand(10)<\/p>\n
      \u5b9a\u4e49\u56de\u8c03\u51fd\u6570<\/strong><\/h2>\n
      def on_click(event):<\/p>\n
          if event.inaxes:<\/p>\n
              xdata, ydata = event.xdata, event.ydata<\/p>\n
              distances = np.sqrt((x - xdata)<strong>2 + (y - ydata)<\/strong>2)<\/p>\n
              idx = np.argmin(distances)<\/p>\n
              print(f'Selected point: ({x[idx]}, {y[idx]})')<\/p>\n
      fig, ax = plt.subplots()<\/p>\n
      ax.scatter(x, y)<\/p>\n
      \u7ed1\u5b9a\u70b9\u51fb\u4e8b\u4ef6<\/strong><\/h2>\n
      fig.canvas.mpl_connect('button_press_event', on_click)<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u751f\u6210\u4e86\u4e00\u7ec4\u968f\u673a\u6570\u636e\u70b9\uff0c\u5e76\u5728\u56fe\u5f62\u4e2d\u7ed8\u5236\u6563\u70b9\u56fe\u3002\u56de\u8c03\u51fd\u6570on_click<\/code>\u5c06\u5728\u9f20\u6807\u70b9\u51fb\u65f6\u8ba1\u7b97\u70b9\u51fb\u4f4d\u7f6e\u4e0e\u5404\u6570\u636e\u70b9\u7684\u8ddd\u79bb\uff0c\u9009\u62e9\u8ddd\u79bb\u6700\u8fd1\u7684\u6570\u636e\u70b9\u5e76\u8f93\u51fa\u5176\u5750\u6807\u3002<\/p>\n<\/p>\n
      2\u3001\u533a\u57df\u653e\u5927<\/h4>\n<\/p>\n
      \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u7528\u6237\u53ef\u80fd\u9700\u8981\u653e\u5927\u56fe\u5f62\u4e2d\u7684\u7279\u5b9a\u533a\u57df\u4ee5\u67e5\u770b\u66f4\u591a\u7ec6\u8282\u3002\u901a\u8fc7\u56fe\u5f62\u70b9\u51fb\u4e8b\u4ef6\uff0c\u53ef\u4ee5\u5b9e\u73b0\u533a\u57df\u653e\u5927\u529f\u80fd\u3002<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      import numpy as np<\/p>\n
      \u751f\u6210\u6570\u636e<\/strong><\/h2>\n
      x = np.linspace(0, 10, 100)<\/p>\n
      y = np.sin(x)<\/p>\n
      \u5b9a\u4e49\u56de\u8c03\u51fd\u6570<\/strong><\/h2>\n
      def on_click(event):<\/p>\n
          if event.inaxes:<\/p>\n
              xdata, ydata = event.xdata, event.ydata<\/p>\n
              ax.set_xlim(xdata - 1, xdata + 1)<\/p>\n
              ax.set_ylim(ydata - 1, ydata + 1)<\/p>\n
              event.inaxes.figure.canvas.draw()<\/p>\n
      fig, ax = plt.subplots()<\/p>\n
      ax.plot(x, y)<\/p>\n
      \u7ed1\u5b9a\u70b9\u51fb\u4e8b\u4ef6<\/strong><\/h2>\n
      fig.canvas.mpl_connect('button_press_event', on_click)<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u7ed8\u5236\u4e86\u4e00\u6761\u6b63\u5f26\u66f2\u7ebf\u3002\u56de\u8c03\u51fd\u6570on_click<\/code>\u5c06\u5728\u9f20\u6807\u70b9\u51fb\u65f6\u8c03\u6574\u5750\u6807\u8f74\u8303\u56f4\uff0c\u4ee5\u653e\u5927\u70b9\u51fb\u4f4d\u7f6e\u9644\u8fd1\u7684\u533a\u57df\u3002<\/p>\n<\/p>\n
      3\u3001\u4fe1\u606f\u663e\u793a<\/h4>\n<\/p>\n
      \u5728\u6570\u636e\u53ef\u89c6\u5316\u8fc7\u7a0b\u4e2d\uff0c\u7528\u6237\u53ef\u80fd\u9700\u8981\u67e5\u770b\u7279\u5b9a\u6570\u636e\u70b9\u7684\u8be6\u7ec6\u4fe1\u606f\u3002\u901a\u8fc7\u56fe\u5f62\u70b9\u51fb\u4e8b\u4ef6\uff0c\u53ef\u4ee5\u5b9e\u73b0\u4fe1\u606f\u663e\u793a\u529f\u80fd\u3002<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      import numpy as np<\/p>\n
      \u751f\u6210\u968f\u673a\u6570\u636e<\/strong><\/h2>\n
      x = np.random.rand(10)<\/p>\n
      y = np.random.rand(10)<\/p>\n
      \u5b9a\u4e49\u56de\u8c03\u51fd\u6570<\/strong><\/h2>\n
      def on_click(event):<\/p>\n
          if event.inaxes:<\/p>\n
              xdata, ydata = event.xdata, event.ydata<\/p>\n
              distances = np.sqrt((x - xdata)<strong>2 + (y - ydata)<\/strong>2)<\/p>\n
              idx = np.argmin(distances)<\/p>\n
              info = f'Point: ({x[idx]}, {y[idx]})\\nValue: {x[idx] * y[idx]:.2f}'<\/p>\n
              print(info)<\/p>\n
              # \u5728\u56fe\u5f62\u4e0a\u663e\u793a\u4fe1\u606f<\/p>\n
              event.inaxes.annotate(info, (x[idx], y[idx]), textcoords="offset points", xytext=(10,10), ha='center', bbox=dict(boxstyle="round,pad=0.3", edgecolor='black', facecolor='yellow', alpha=0.5))<\/p>\n
              event.inaxes.figure.canvas.draw()<\/p>\n
      fig, ax = plt.subplots()<\/p>\n
      ax.scatter(x, y)<\/p>\n
      \u7ed1\u5b9a\u70b9\u51fb\u4e8b\u4ef6<\/strong><\/h2>\n
      fig.canvas.mpl_connect('button_press_event', on_click)<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u751f\u6210\u4e86\u4e00\u7ec4\u968f\u673a\u6570\u636e\u70b9\uff0c\u5e76\u5728\u56fe\u5f62\u4e2d\u7ed8\u5236\u6563\u70b9\u56fe\u3002\u56de\u8c03\u51fd\u6570on_click<\/code>\u5c06\u5728\u9f20\u6807\u70b9\u51fb\u65f6\u9009\u62e9\u8ddd\u79bb\u6700\u8fd1\u7684\u6570\u636e\u70b9\uff0c\u5e76\u5728\u56fe\u5f62\u4e0a\u663e\u793a\u8be5\u6570\u636e\u70b9\u7684\u8be6\u7ec6\u4fe1\u606f\u3002<\/p>\n<\/p>\n
      \u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
      \u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u8be6\u7ec6\u63cf\u8ff0\u4e86\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u5b9e\u73b0\u56fe\u5f62\u70b9\u51fb\u4e8b\u4ef6\u3002\u6211\u4eec\u4ecb\u7ecd\u4e86Matplotlib\u7684\u4e8b\u4ef6\u5904\u7406\u673a\u5236\u3001mpl_connect<\/code>\u65b9\u6cd5\u7684\u4f7f\u7528\u3001\u56de\u8c03\u51fd\u6570\u7684\u7f16\u5199\uff0c\u5e76\u7ed9\u51fa\u4e86\u591a\u4e2a\u5177\u4f53\u7684\u5e94\u7528\u793a\u4f8b\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Matplotlib\u7684\u4e8b\u4ef6\u5904\u7406\u529f\u80fd\uff0c\u63d0\u5347\u6570\u636e\u53ef\u89c6\u5316\u7684\u4ea4\u4e92\u6027\u548c\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n<\/p>\n
      \u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\uff0c\u7075\u6d3b\u5e94\u7528\u8fd9\u4e9b\u6280\u672f\uff0c\u5f00\u53d1\u51fa\u529f\u80fd\u4e30\u5bcc\u3001\u4ea4\u4e92\u6027\u5f3a\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e94\u7528\u3002\u65e0\u8bba\u662f\u6570\u636e\u70b9\u9009\u62e9\u3001\u533a\u57df\u653e\u5927\u8fd8\u662f\u4fe1\u606f\u663e\u793a\uff0cMatplotlib\u90fd\u80fd\u4e3a\u4f60\u63d0\u4f9b\u5f3a\u5927\u7684\u652f\u6301\u548c\u7075\u6d3b\u7684\u5b9e\u73b0\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
       \u5982\u4f55\u5728Python\u4e2d\u4e3aplot\u7ed8\u5236\u7684\u56fe\u5f62\u6dfb\u52a0\u70b9\u51fb\u4e8b\u4ef6\uff1f<\/strong>
      \u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u7ed8\u5236\u7684\u56fe\u5f62\u53ef\u4ee5\u901a\u8fc7\u4e8b\u4ef6\u5904\u7406\u529f\u80fd\u6765\u5b9e\u73b0\u70b9\u51fb\u4e8b\u4ef6\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528mpl_connect<\/code>\u65b9\u6cd5\u6765\u8fde\u63a5\u9f20\u6807\u70b9\u51fb\u4e8b\u4ef6\u4e0e\u81ea\u5b9a\u4e49\u7684\u56de\u8c03\u51fd\u6570\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
      import matplotlib.pyplot as plt\n\ndef on_click(event):\n    print(f'Clicked at: ({event.xdata}, {event.ydata})')\n\nfig, ax = plt.subplots()\nax.plot([1, 2, 3], [4, 5, 6])\ncid = fig.canvas.mpl_connect('button_press_event', on_click)\nplt.show()\n<\/code><\/pre>\n
      \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u5f53\u7528\u6237\u5728\u56fe\u5f62\u4e0a\u5355\u51fb\u65f6\uff0c\u4f1a\u5728\u63a7\u5236\u53f0\u6253\u5370\u51fa\u70b9\u51fb\u4f4d\u7f6e\u7684\u5750\u6807\u3002<\/p>\n
      \u5982\u4f55\u5728Matplotlib\u56fe\u5f62\u4e2d\u663e\u793a\u70b9\u51fb\u4fe1\u606f\uff1f<\/strong>
      \u5982\u679c\u60a8\u5e0c\u671b\u5728\u56fe\u5f62\u4e2d\u5b9e\u65f6\u663e\u793a\u70b9\u51fb\u7684\u4f4d\u7f6e\uff0c\u53ef\u4ee5\u5728\u56de\u8c03\u51fd\u6570\u4e2d\u4f7f\u7528ax.text<\/code>\u65b9\u6cd5\u6765\u5728\u56fe\u5f62\u4e0a\u6dfb\u52a0\u6587\u672c\u3002\u4f8b\u5982\uff1a<\/p>\n
      def on_click(event):\n    ax.text(event.xdata, event.ydata, f'Clicked: ({event.xdata:.2f}, {event.ydata:.2f})', fontsize=12)\n<\/code><\/pre>\n
      \u8fd9\u6837\uff0c\u7528\u6237\u6bcf\u6b21\u70b9\u51fb\u56fe\u5f62\u65f6\u90fd\u4f1a\u5728\u76f8\u5e94\u7684\u4f4d\u7f6e\u663e\u793a\u5750\u6807\u4fe1\u606f\uff0c\u589e\u52a0\u4e86\u4ea4\u4e92\u6027\u3002<\/p>\n
      \u4f7f\u7528\u4ea4\u4e92\u5f0f\u56fe\u5f62\u5e93\u6709\u54ea\u4e9b\u597d\u5904\uff1f<\/strong>
      \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u8bf8\u5982Plotly\u3001Bokeh\u7b49\u4ea4\u4e92\u5f0f\u56fe\u5f62\u5e93\u6765\u66ff\u4ee3Matplotlib\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u4ea4\u4e92\u529f\u80fd\uff0c\u4f8b\u5982\u7f29\u653e\u3001\u5e73\u79fb\u548c\u70b9\u51fb\u4e8b\u4ef6\u7684\u5904\u7406\uff0c\u7528\u6237\u53ef\u4ee5\u66f4\u65b9\u4fbf\u5730\u63a2\u7d22\u6570\u636e\u3002\u4f7f\u7528\u8fd9\u4e9b\u5e93\u53ef\u4ee5\u6781\u5927\u5730\u63d0\u5347\u6570\u636e\u53ef\u89c6\u5316\u7684\u4f53\u9a8c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2dplot\u753b\u7684\u56fe\u5982\u4f55\u70b9\u51fb\uff1a\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\uff0c\u5e76\u901a\u8fc7\u4ea4\u4e92\u529f […]","protected":false},"author":3,"featured_media":1093809,"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\/1093804"}],"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=1093804"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1093804\/revisions"}],"predecessor-version":[{"id":1093812,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1093804\/revisions\/1093812"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1093809"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1093804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1093804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1093804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}