{"id":941774,"date":"2024-12-26T21:43:28","date_gmt":"2024-12-26T13:43:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/941774.html"},"modified":"2024-12-26T21:43:30","modified_gmt":"2024-12-26T13:43:30","slug":"python%e5%a6%82%e4%bd%95%e8%ae%be%e7%bd%aelegend","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/941774.html","title":{"rendered":"python\u5982\u4f55\u8bbe\u7f6elegend"},"content":{"rendered":"

\"python\u5982\u4f55\u8bbe\u7f6elegend\"<\/p>\n

\u5f00\u5934\u6bb5\u843d\uff1a <\/p>\n<\/p>\n

\u5728Python\u4e2d\u8bbe\u7f6e\u56fe\u4f8b\uff08legend\uff09\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u3001\u8c03\u7528legend()\u51fd\u6570\u3001\u8bbe\u7f6e\u56fe\u4f8b\u4f4d\u7f6e\u3001\u6dfb\u52a0\u56fe\u4f8b\u6807\u9898<\/strong>\u7b49\u65b9\u5f0f\u6765\u5b9e\u73b0\u3002\u4f7f\u7528Matplotlib\u5e93<\/strong>\u662f\u6700\u4e3a\u57fa\u7840\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3aMatplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u3002\u9996\u5148\u9700\u8981\u5728\u7ed8\u56fe\u4e4b\u524d\u5bfc\u5165Matplotlib\u5e93\uff0c\u7136\u540e\u5bf9\u7ed8\u5236\u7684\u56fe\u5f62\u5bf9\u8c61\u8c03\u7528legend()<\/code>\u65b9\u6cd5\u6765\u663e\u793a\u56fe\u4f8b\u3002\u53ef\u4ee5\u901a\u8fc7loc<\/code>\u53c2\u6570\u6307\u5b9a\u56fe\u4f8b\u7684\u4f4d\u7f6e\uff0c\u4f8b\u5982"upper right"\u3001"lower left"\u7b49\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528title<\/code>\u53c2\u6570\u4e3a\u56fe\u4f8b\u6dfb\u52a0\u6807\u9898\uff0c\u589e\u52a0\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5e94\u7528\u6280\u5de7\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528MATPLOTLIB\u5e93<\/p>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u6700\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u7b80\u5355\u800c\u5f3a\u5927\u7684\u5de5\u5177\u6765\u521b\u5efa\u5404\u79cd\u56fe\u5f62\u3002\u8981\u4f7f\u7528Matplotlib\u8bbe\u7f6e\u56fe\u4f8b\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165\u8be5\u5e93\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5\u548c\u5bfc\u5165Matplotlib<\/li>\n<\/ol>\n

    \u5728\u4f7f\u7528Matplotlib\u4e4b\u524d\uff0c\u5fc5\u987b\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5728\u547d\u4ee4\u884c\u4e2d\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install matplotlib<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Matplotlib\u5e93\uff1a<\/p>\n<\/p>\n
    import matplotlib.pyplot as plt<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u521b\u5efa\u7b80\u5355\u7684\u56fe\u5f62<\/li>\n<\/ol>\n
      \u5728\u5bfc\u5165Matplotlib\u5e93\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u521b\u5efa\u7b80\u5355\u7684\u56fe\u5f62\u6765\u5c55\u793a\u5982\u4f55\u6dfb\u52a0\u56fe\u4f8b\u3002\u4f8b\u5982\uff0c\u7ed8\u5236\u4e00\u6761\u7b80\u5355\u7684\u6298\u7ebf\u56fe\uff1a<\/p>\n<\/p>\n
      x = [1, 2, 3, 4, 5]<\/p>\n
      y = [2, 3, 5, 7, 11]<\/p>\n
      plt.plot(x, y, label='Prime Numbers')<\/p>\n
      plt.xlabel('X-axis')<\/p>\n
      plt.ylabel('Y-axis')<\/p>\n
      plt.title('Simple Line Plot')<\/p>\n
      plt.legend()<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0clabel<\/code>\u53c2\u6570\u7528\u4e8e\u4e3a\u56fe\u4f8b\u6307\u5b9a\u6807\u7b7e\uff0c\u800clegend()<\/code>\u51fd\u6570\u7528\u4e8e\u663e\u793a\u56fe\u4f8b\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u8c03\u7528LEGEND()\u51fd\u6570<\/p>\n<\/p>\n
      legend()<\/code>\u51fd\u6570\u5728Matplotlib\u4e2d\u7528\u4e8e\u663e\u793a\u56fe\u4f8b\u3002\u901a\u8fc7\u8c03\u7528\u6b64\u51fd\u6570\uff0c\u53ef\u4ee5\u4e3a\u4e0d\u540c\u7684\u6570\u636e\u96c6\u6dfb\u52a0\u6807\u7b7e\uff0c\u5e76\u5728\u56fe\u4e2d\u663e\u793a\u8fd9\u4e9b\u6807\u7b7e\u3002<\/p>\n<\/p>\n
        \n
      1. \u57fa\u672c\u4f7f\u7528<\/li>\n<\/ol>\n
        \u5728\u7ed8\u5236\u56fe\u5f62\u65f6\uff0c\u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u6570\u636e\u96c6\u6307\u5b9a\u6807\u7b7e\uff0c\u968f\u540e\u8c03\u7528legend()<\/code>\u51fd\u6570\u4ee5\u663e\u793a\u56fe\u4f8b\uff1a<\/p>\n<\/p>\n
        plt.plot(x, y1, label='Line 1')<\/p>\n
        plt.plot(x, y2, label='Line 2')<\/p>\n
        plt.legend()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u81ea\u5b9a\u4e49\u56fe\u4f8b\u4f4d\u7f6e<\/li>\n<\/ol>\n
          legend()<\/code>\u51fd\u6570\u5141\u8bb8\u901a\u8fc7loc<\/code>\u53c2\u6570\u81ea\u5b9a\u4e49\u56fe\u4f8b\u7684\u4f4d\u7f6e\u3002\u5e38\u7528\u7684\u4f4d\u7f6e\u53c2\u6570\u5305\u62ec\uff1a<\/p>\n<\/p>\n
            \n
          • 'upper right'<\/code><\/li>\n
          • 'upper left'<\/code><\/li>\n
          • 'lower left'<\/code><\/li>\n
          • 'lower right'<\/code><\/li>\n<\/ul>\n
            \u4f8b\u5982\uff0c\u5c06\u56fe\u4f8b\u653e\u7f6e\u5728\u5de6\u4e0a\u89d2\uff1a<\/p>\n<\/p>\n
            plt.legend(loc='upper left')<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u4e09\u3001\u8bbe\u7f6e\u56fe\u4f8b\u4f4d\u7f6e<\/p>\n<\/p>\n
            \u9664\u4e86\u901a\u8fc7loc<\/code>\u53c2\u6570\u6307\u5b9a\u56fe\u4f8b\u7684\u4f4d\u7f6e\u5916\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7bbox_to_anchor<\/code>\u53c2\u6570\u8fdb\u4e00\u6b65\u5fae\u8c03\u56fe\u4f8b\u7684\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
              \n
            1. \u4f7f\u7528bbox_to_anchor<\/code>\u53c2\u6570<\/li>\n<\/ol>\n
              bbox_to_anchor<\/code>\u53c2\u6570\u5141\u8bb8\u4ee5\u66f4\u7cbe\u7ec6\u7684\u65b9\u5f0f\u63a7\u5236\u56fe\u4f8b\u7684\u4f4d\u7f6e\u3002\u5b83\u63a5\u53d7\u4e00\u4e2a\u5143\u7ec4\u4f5c\u4e3a\u53c2\u6570\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
              plt.legend(loc='upper right', bbox_to_anchor=(1.1, 1.05))<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u5c06\u56fe\u4f8b\u653e\u7f6e\u5728\u56fe\u5f62\u7684\u8fb9\u754c\u4e4b\u5916\uff0c\u4ee5\u907f\u514d\u906e\u6321\u6570\u636e\u3002<\/p>\n<\/p>\n
                \n
              1. \u4f7f\u7528ncol<\/code>\u53c2\u6570<\/li>\n<\/ol>\n
                ncol<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u56fe\u4f8b\u7684\u5217\u6570\uff0c\u9002\u7528\u4e8e\u5f53\u56fe\u4f8b\u6807\u7b7e\u8f83\u591a\u65f6\u9700\u8981\u5206\u6210\u591a\u5217\u663e\u793a\u7684\u60c5\u51b5\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                plt.legend(loc='upper right', ncol=2)<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u8fd9\u5c06\u56fe\u4f8b\u5206\u6210\u4e24\u5217\u663e\u793a\uff0c\u589e\u52a0\u4e86\u56fe\u5f62\u7684\u6574\u6d01\u6027\u3002<\/p>\n<\/p>\n
                \u56db\u3001\u6dfb\u52a0\u56fe\u4f8b\u6807\u9898<\/p>\n<\/p>\n
                \u4e3a\u56fe\u4f8b\u6dfb\u52a0\u6807\u9898\u6709\u52a9\u4e8e\u63d0\u9ad8\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\uff0c\u7279\u522b\u662f\u5728\u591a\u4e2a\u6570\u636e\u96c6\u9700\u8981\u533a\u5206\u65f6\u3002<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528title<\/code>\u53c2\u6570<\/li>\n<\/ol>\n
                  \u53ef\u4ee5\u901a\u8fc7title<\/code>\u53c2\u6570\u4e3a\u56fe\u4f8b\u6dfb\u52a0\u6807\u9898\uff1a<\/p>\n<\/p>\n
                  plt.legend(title='Legend Title')<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u81ea\u5b9a\u4e49\u6807\u9898\u6837\u5f0f<\/li>\n<\/ol>\n
                    \u8fd8\u53ef\u4ee5\u4f7f\u7528title_fontsize<\/code>\u53c2\u6570\u81ea\u5b9a\u4e49\u56fe\u4f8b\u6807\u9898\u7684\u5b57\u4f53\u5927\u5c0f\uff1a<\/p>\n<\/p>\n
                    plt.legend(title='Legend Title', title_fontsize='13')<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u8fd9\u6837\u53ef\u4ee5\u4f7f\u56fe\u4f8b\u6807\u9898\u66f4\u52a0\u7a81\u51fa\uff0c\u4e0e\u56fe\u5f62\u7684\u6574\u4f53\u98ce\u683c\u4fdd\u6301\u4e00\u81f4\u3002<\/p>\n<\/p>\n
                    \u4e94\u3001\u56fe\u4f8b\u6837\u5f0f\u548c\u5916\u89c2\u8bbe\u7f6e<\/p>\n<\/p>\n
                    \u9664\u4e86\u57fa\u672c\u7684\u56fe\u4f8b\u4f4d\u7f6e\u548c\u6807\u9898\u8bbe\u7f6e\u5916\uff0cMatplotlib\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6837\u5f0f\u9009\u9879\uff0c\u4f7f\u5f97\u56fe\u4f8b\u53ef\u4ee5\u66f4\u597d\u5730\u5339\u914d\u56fe\u5f62\u7684\u89c6\u89c9\u98ce\u683c\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u8bbe\u7f6e\u56fe\u4f8b\u6846\u6837\u5f0f<\/li>\n<\/ol>\n
                      \u901a\u8fc7frameon<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u63a7\u5236\u56fe\u4f8b\u6846\u7684\u663e\u793a\u4e0e\u5426\uff1a<\/p>\n<\/p>\n
                      plt.legend(frameon=False)<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                        \n
                      1. \u81ea\u5b9a\u4e49\u56fe\u4f8b\u8fb9\u6846<\/li>\n<\/ol>\n
                        \u53ef\u4ee5\u4f7f\u7528edgecolor<\/code>\u548cfancybox<\/code>\u53c2\u6570\u6765\u81ea\u5b9a\u4e49\u56fe\u4f8b\u8fb9\u6846\u7684\u989c\u8272\u548c\u6837\u5f0f\uff1a<\/p>\n<\/p>\n
                        plt.legend(edgecolor='red', fancybox=True)<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u901a\u8fc7\u8fd9\u4e9b\u53c2\u6570\uff0c\u53ef\u4ee5\u4f7f\u56fe\u4f8b\u7684\u5916\u89c2\u66f4\u52a0\u7b26\u5408\u6574\u4f53\u56fe\u5f62\u7684\u8bbe\u8ba1\u9700\u6c42\u3002<\/p>\n<\/p>\n
                        \u516d\u3001\u56fe\u4f8b\u9879\u7684\u6392\u5217\u548c\u95f4\u8ddd<\/p>\n<\/p>\n
                        \u4e3a\u4e86\u4f7f\u56fe\u4f8b\u5728\u89c6\u89c9\u4e0a\u66f4\u5177\u53ef\u8bfb\u6027\uff0c\u53ef\u4ee5\u8c03\u6574\u56fe\u4f8b\u9879\u7684\u6392\u5217\u65b9\u5f0f\u4ee5\u53ca\u9879\u4e4b\u95f4\u7684\u95f4\u8ddd\u3002<\/p>\n<\/p>\n
                          \n
                        1. \u4f7f\u7528labelspacing<\/code>\u53c2\u6570<\/li>\n<\/ol>\n
                          labelspacing<\/code>\u53c2\u6570\u7528\u4e8e\u63a7\u5236\u56fe\u4f8b\u9879\u4e4b\u95f4\u7684\u5782\u76f4\u95f4\u8ddd\uff1a<\/p>\n<\/p>\n
                          plt.legend(labelspacing=1.5)<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. \u4f7f\u7528handletextpad<\/code>\u53c2\u6570<\/li>\n<\/ol>\n
                            handletextpad<\/code>\u53c2\u6570\u7528\u4e8e\u63a7\u5236\u56fe\u4f8b\u6807\u8bb0\u4e0e\u6587\u672c\u4e4b\u95f4\u7684\u6c34\u5e73\u95f4\u8ddd\uff1a<\/p>\n<\/p>\n
                            plt.legend(handletextpad=2.0)<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                            \u901a\u8fc7\u5408\u7406\u8c03\u6574\u8fd9\u4e9b\u53c2\u6570\uff0c\u53ef\u4ee5\u63d0\u5347\u56fe\u4f8b\u7684\u6574\u4f53\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
                            \u4e03\u3001\u590d\u6742\u56fe\u5f62\u4e2d\u7684\u56fe\u4f8b\u8bbe\u7f6e<\/p>\n<\/p>\n
                            \u5728\u590d\u6742\u56fe\u5f62\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u66f4\u7075\u6d3b\u7684\u56fe\u4f8b\u8bbe\u7f6e\uff0c\u4ee5\u4fbf\u66f4\u6e05\u6670\u5730\u4f20\u8fbe\u4fe1\u606f\u3002<\/p>\n<\/p>\n
                              \n
                            1. \u4e3a\u4e0d\u540c\u5b50\u56fe\u8bbe\u7f6e\u72ec\u7acb\u56fe\u4f8b<\/li>\n<\/ol>\n
                              \u5728\u591a\u5b50\u56fe\u60c5\u5883\u4e0b\uff0c\u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u5b50\u56fe\u8bbe\u7f6e\u72ec\u7acb\u7684\u56fe\u4f8b\uff1a<\/p>\n<\/p>\n
                              fig, ax = plt.subplots(2)<\/p>\n
                              ax[0].plot(x, y1, label='Dataset 1')<\/p>\n
                              ax[0].legend()<\/p>\n
                              ax[1].plot(x, y2, label='Dataset 2')<\/p>\n
                              ax[1].legend()<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                                \n
                              1. \u4f7f\u7528\u56fe\u4f8b\u5916\u90e8\u663e\u793a<\/li>\n<\/ol>\n
                                \u5728\u590d\u6742\u56fe\u5f62\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5c06\u56fe\u4f8b\u653e\u7f6e\u5728\u56fe\u5f62\u5916\u90e8\u4ee5\u907f\u514d\u906e\u6321\u6570\u636e\uff1a<\/p>\n<\/p>\n
                                plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))<\/p>\n
                                <\/code><\/pre>\n<\/p>\n
                                \u8fd9\u79cd\u65b9\u5f0f\u6709\u52a9\u4e8e\u4fdd\u6301\u56fe\u5f62\u7684\u6574\u6d01\u548c\u6570\u636e\u7684\u53ef\u89c6\u6027\u3002<\/p>\n<\/p>\n
                                \u516b\u3001\u56fe\u4f8b\u4ea4\u4e92\u529f\u80fd<\/p>\n<\/p>\n
                                \u5728\u4e00\u4e9b\u4ea4\u4e92\u5f0f\u56fe\u5f62\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u63d0\u4f9b\u56fe\u4f8b\u7684\u4ea4\u4e92\u529f\u80fd\uff0c\u4ee5\u4fbf\u7528\u6237\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u3002<\/p>\n<\/p>\n
                                  \n
                                1. \u4f7f\u7528mplcursors<\/code>\u5e93<\/li>\n<\/ol>\n
                                  mplcursors<\/code>\u5e93\u53ef\u4ee5\u4e3aMatplotlib\u56fe\u5f62\u63d0\u4f9b\u4ea4\u4e92\u529f\u80fd\uff0c\u5305\u62ec\u56fe\u4f8b\u7684\u4ea4\u4e92\uff1a<\/p>\n<\/p>\n
                                  import mplcursors<\/p>\n
                                  mplcursors.cursor(hover=True)<\/p>\n
                                  <\/code><\/pre>\n<\/p>\n
                                    \n
                                  1. \u5728\u56fe\u4f8b\u4e2d\u6dfb\u52a0\u4ea4\u4e92\u529f\u80fd<\/li>\n<\/ol>\n
                                    \u901a\u8fc7\u4e3a\u56fe\u4f8b\u9879\u7ed1\u5b9a\u4e8b\u4ef6\uff0c\u53ef\u4ee5\u5b9e\u73b0\u4ea4\u4e92\u529f\u80fd\uff0c\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                                    legend = plt.legend()<\/p>\n
                                    for legline, origline in zip(legend.get_lines(), plt.gca().get_lines()):<\/p>\n
                                        legline.set_picker(5)  # Tolerance for picking<\/p>\n
                                    <\/code><\/pre>\n<\/p>\n
                                    \u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u5347\u56fe\u5f62\u7684\u4ea4\u4e92\u6027\u548c\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n<\/p>\n
                                    \u4e5d\u3001\u603b\u7ed3\u4e0e\u6700\u4f73\u5b9e\u8df5<\/p>\n<\/p>\n
                                    \u8bbe\u7f6e\u56fe\u4f8b\u662f\u6570\u636e\u53ef\u89c6\u5316\u4e2d\u4e00\u4e2a\u91cd\u8981\u7684\u73af\u8282\uff0c\u5b83\u4e0d\u4ec5\u5e2e\u52a9\u89c2\u4f17\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\uff0c\u8fd8\u4e3a\u56fe\u5f62\u589e\u6dfb\u4e86\u7f8e\u89c2\u548c\u4e13\u4e1a\u6027\u3002<\/p>\n<\/p>\n
                                      \n
                                    1. \u6839\u636e\u56fe\u5f62\u590d\u6742\u5ea6\u9009\u62e9\u5408\u9002\u7684\u56fe\u4f8b\u8bbe\u7f6e<\/li>\n<\/ol>\n
                                      \u5728\u7b80\u5355\u56fe\u5f62\u4e2d\uff0c\u57fa\u672c\u7684\u56fe\u4f8b\u8bbe\u7f6e\u5373\u53ef\u6ee1\u8db3\u9700\u6c42\uff1b\u800c\u5728\u590d\u6742\u56fe\u5f62\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u66f4\u7075\u6d3b\u7684\u56fe\u4f8b\u914d\u7f6e\u3002<\/p>\n<\/p>\n
                                        \n
                                      1. \u4fdd\u6301\u56fe\u4f8b\u4e0e\u56fe\u5f62\u98ce\u683c\u4e00\u81f4<\/li>\n<\/ol>\n
                                        \u786e\u4fdd\u56fe\u4f8b\u7684\u6837\u5f0f\u548c\u4f4d\u7f6e\u4e0e\u6574\u4f53\u56fe\u5f62\u98ce\u683c\u4fdd\u6301\u4e00\u81f4\uff0c\u4ee5\u63d0\u5347\u56fe\u5f62\u7684\u6574\u4f53\u7f8e\u89c2\u6027\u548c\u4e13\u4e1a\u6027\u3002<\/p>\n<\/p>\n
                                          \n
                                        1. \u5229\u7528\u56fe\u4f8b\u589e\u5f3a\u53ef\u8bfb\u6027<\/li>\n<\/ol>\n
                                          \u5408\u7406\u4f7f\u7528\u56fe\u4f8b\u6807\u9898\u3001\u4f4d\u7f6e\u3001\u95f4\u8ddd\u7b49\u8bbe\u7f6e\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\u548c\u4fe1\u606f\u4f20\u8fbe\u6548\u679c\u3002<\/p>\n<\/p>\n
                                          \u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u638c\u63e1Python\u4e2d\u8bbe\u7f6e\u56fe\u4f8b\u7684\u6280\u5de7\uff0c\u4e3a\u6570\u636e\u53ef\u89c6\u5316\u589e\u6dfb\u8272\u5f69\u3002<\/p>\n<\/p>\n
                                          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                           \u5982\u4f55\u5728Python\u4e2d\u81ea\u5b9a\u4e49\u56fe\u4f8b\u7684\u4f4d\u7f6e\uff1f<\/strong>
                                          \u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528matplotlib<\/code>\u5e93\u8f7b\u677e\u81ea\u5b9a\u4e49\u56fe\u4f8b\u7684\u4f4d\u7f6e\u3002\u901a\u8fc7\u5728\u8c03\u7528plt.legend()<\/code>\u65f6\u8bbe\u7f6eloc<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u6307\u5b9a\u56fe\u4f8b\u7684\u653e\u7f6e\u4f4d\u7f6e\u3002\u4f8b\u5982\uff0cloc='upper right'<\/code>\u5c06\u56fe\u4f8b\u653e\u5728\u53f3\u4e0a\u89d2\u3002\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5177\u4f53\u7684\u5750\u6807\u503c\u6765\u8bbe\u7f6e\u56fe\u4f8b\u7684\u7cbe\u786e\u4f4d\u7f6e\uff0c\u4f8b\u5982bbox_to_anchor=(1, 1)<\/code>\u3002<\/p>\n
                                          Python\u7684\u56fe\u4f8b\u53ef\u4ee5\u5305\u542b\u54ea\u4e9b\u4fe1\u606f\uff1f<\/strong>
                                          \u5728Python\u7684matplotlib<\/code>\u4e2d\uff0c\u56fe\u4f8b\u53ef\u4ee5\u5305\u542b\u591a\u4e2a\u4fe1\u606f\uff0c\u5982\u7ebf\u6761\u7684\u6807\u7b7e\u3001\u989c\u8272\u3001\u6837\u5f0f\u7b49\u3002\u901a\u8fc7\u5728\u7ed8\u5236\u56fe\u5f62\u65f6\u4e3a\u6bcf\u4e2a\u6570\u636e\u7cfb\u5217\u63d0\u4f9b\u6807\u7b7e\uff0c\u5e76\u5728plt.legend()<\/code>\u4e2d\u8c03\u7528\u8fd9\u4e9b\u6807\u7b7e\uff0c\u53ef\u4ee5\u4e3a\u7528\u6237\u63d0\u4f9b\u66f4\u6e05\u6670\u7684\u6570\u636e\u7406\u89e3\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6efontsize<\/code>\u3001frameon<\/code>\u7b49\u53c2\u6570\uff0c\u8fdb\u4e00\u6b65\u589e\u5f3a\u56fe\u4f8b\u7684\u53ef\u8bfb\u6027\u548c\u7f8e\u89c2\u6027\u3002<\/p>\n
                                          \u5982\u4f55\u5728Python\u4e2d\u9690\u85cf\u56fe\u4f8b\uff1f<\/strong>
                                          \u5982\u679c\u5e0c\u671b\u5728\u7ed8\u56fe\u4e2d\u9690\u85cf\u56fe\u4f8b\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528plt.legend()<\/code>\u65f6\u8bbe\u7f6evisible=False<\/code>\u6765\u5b9e\u73b0\u3002\u6b64\u5916\uff0c\u60a8\u4e5f\u53ef\u4ee5\u9009\u62e9\u4e0d\u8c03\u7528plt.legend()<\/code>\uff0c\u8fd9\u6837\u9ed8\u8ba4\u60c5\u51b5\u4e0b\u56fe\u4f8b\u5c06\u4e0d\u4f1a\u663e\u793a\u3002\u5bf9\u4e8e\u67d0\u4e9b\u60c5\u51b5\u4e0b\u9700\u8981\u4e34\u65f6\u9690\u85cf\u56fe\u4f8b\uff0c\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7legend.set_visible(False)<\/code>\u65b9\u6cd5\u6765\u63a7\u5236\u56fe\u4f8b\u7684\u53ef\u89c1\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1a \u5728Python\u4e2d\u8bbe\u7f6e\u56fe\u4f8b\uff08legend\uff09\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u3001\u8c03\u7528legend()\u51fd […]","protected":false},"author":3,"featured_media":941778,"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\/941774"}],"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=941774"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/941774\/revisions"}],"predecessor-version":[{"id":941781,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/941774\/revisions\/941781"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/941778"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=941774"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=941774"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=941774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}