{"id":963771,"date":"2024-12-27T04:21:48","date_gmt":"2024-12-26T20:21:48","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/963771.html"},"modified":"2024-12-27T04:21:50","modified_gmt":"2024-12-26T20:21:50","slug":"python%e5%a6%82%e4%bd%95%e6%8c%87%e5%ae%9a%e5%88%bb%e5%ba%a6%e7%bd%91%e6%a0%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/963771.html","title":{"rendered":"python\u5982\u4f55\u6307\u5b9a\u523b\u5ea6\u7f51\u683c"},"content":{"rendered":"

\"python\u5982\u4f55\u6307\u5b9a\u523b\u5ea6\u7f51\u683c\"<\/p>\n

\u5728Python\u4e2d\u6307\u5b9a\u523b\u5ea6\u7f51\u683c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u5b9e\u73b0\u3002Matplotlib\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u63d0\u4f9b\u4e86\u81ea\u5b9a\u4e49\u523b\u5ea6\u548c\u7f51\u683c\u7ebf\u7684\u591a\u79cd\u65b9\u6cd5\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6exticks<\/code>\u548cyticks<\/code>\u6765\u6307\u5b9a\u523b\u5ea6\uff0c\u4f7f\u7528grid<\/code>\u51fd\u6570\u6765\u663e\u793a\u6216\u9690\u85cf\u7f51\u683c\u7ebf\uff0c\u4ee5\u53ca\u901a\u8fc7tick_params<\/code>\u81ea\u5b9a\u4e49\u523b\u5ea6\u7684\u5916\u89c2\u548c\u4f4d\u7f6e\u3002<\/strong> \u5176\u4e2d\uff0c\u901a\u8fc7xticks<\/code>\u548cyticks<\/code>\u6765\u7cbe\u786e\u63a7\u5236\u523b\u5ea6\u4f4d\u7f6e\uff0c\u8fd9\u662f\u8bbe\u7f6e\u523b\u5ea6\u7f51\u683c\u7684\u6838\u5fc3\u3002\u4e0b\u9762\u6211\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\u6765\u5b9e\u73b0\u523b\u5ea6\u7f51\u683c\u7684\u6307\u5b9a\u3002<\/p>\n<\/p>\n

\u4e00\u3001MATPLOTLIB\u5e93\u57fa\u7840<\/p>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u5b83\u5141\u8bb8\u7528\u6237\u521b\u5efa\u9759\u6001\u3001\u52a8\u6001\u548c\u4ea4\u4e92\u5f0f\u56fe\u8868\u3002\u5728\u4f7f\u7528Matplotlib\u65f6\uff0c\u901a\u5e38\u4f1a\u4e0eNumPy\u7ed3\u5408\u4f7f\u7528\uff0c\u56e0\u4e3a\u5b83\u4eec\u7684\u96c6\u6210\u53ef\u4ee5\u5927\u5927\u7b80\u5316\u6570\u636e\u7684\u5904\u7406\u548c\u53ef\u89c6\u5316\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5\u4e0e\u5bfc\u5165Matplotlib<\/li>\n<\/ol>\n

    \u5728\u5f00\u59cb\u4f7f\u7528Matplotlib\u4e4b\u524d\uff0c\u786e\u4fdd\u5df2\u5728Python\u73af\u5883\u4e2d\u5b89\u88c5\u4e86\u5b83\u3002\u53ef\u4ee5\u4f7f\u7528pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install matplotlib<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Matplotlib\uff1a<\/p>\n<\/p>\n
    import matplotlib.pyplot as plt<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u57fa\u672c\u7ed8\u56fe\u793a\u4f8b<\/li>\n<\/ol>\n
      \u5728\u6df1\u5165\u4e86\u89e3\u523b\u5ea6\u7f51\u683c\u4e4b\u524d\uff0c\u5148\u5c55\u793a\u4e00\u4e2a\u7b80\u5355\u7684\u7ed8\u56fe\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      import numpy as np<\/p>\n
      x = np.linspace(0, 10, 100)<\/p>\n
      y = np.sin(x)<\/p>\n
      plt.plot(x, y)<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u6bb5\u4ee3\u7801\u751f\u6210\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u6b63\u5f26\u6ce2\u56fe\u5f62\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u6307\u5b9a\u523b\u5ea6<\/p>\n<\/p>\n
      \u6307\u5b9a\u523b\u5ea6\u662f\u6570\u636e\u53ef\u89c6\u5316\u4e2d\u4e00\u4e2a\u91cd\u8981\u7684\u73af\u8282\uff0c\u5b83\u53ef\u4ee5\u5e2e\u52a9\u89c2\u4f17\u66f4\u597d\u5730\u7406\u89e3\u56fe\u8868\u4e2d\u7684\u6570\u636e\u3002Matplotlib\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u63a7\u5236x\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u3002<\/p>\n<\/p>\n
        \n
      1. \u4f7f\u7528xticks<\/code>\u548cyticks<\/code>\u51fd\u6570<\/li>\n<\/ol>\n
        xticks<\/code>\u548cyticks<\/code>\u51fd\u6570\u7528\u4e8e\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e\u3002<\/p>\n<\/p>\n
        import matplotlib.pyplot as plt<\/p>\n
        import numpy as np<\/p>\n
        x = np.linspace(0, 10, 100)<\/p>\n
        y = np.sin(x)<\/p>\n
        plt.plot(x, y)<\/p>\n
        \u8bbe\u7f6ex\u8f74\u523b\u5ea6<\/strong><\/h2>\n
        plt.xticks(np.arange(0, 11, 1))<\/p>\n
        \u8bbe\u7f6ey\u8f74\u523b\u5ea6<\/strong><\/h2>\n
        plt.yticks(np.arange(-1, 1.5, 0.5))<\/p>\n
        plt.show()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cnp.arange<\/code>\u7528\u4e8e\u751f\u6210\u6307\u5b9a\u8303\u56f4\u5185\u7684\u523b\u5ea6\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
          \n
        1. \u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e<\/li>\n<\/ol>\n
          \u6709\u65f6\u9700\u8981\u4e3a\u523b\u5ea6\u8bbe\u7f6e\u81ea\u5b9a\u4e49\u6807\u7b7e\uff0c\u8fd9\u53ef\u4ee5\u901a\u8fc7\u4f20\u9012\u4e00\u4e2a\u523b\u5ea6\u4f4d\u7f6e\u5217\u8868\u548c\u4e00\u4e2a\u6807\u7b7e\u5217\u8868\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
          import matplotlib.pyplot as plt<\/p>\n
          import numpy as np<\/p>\n
          x = np.linspace(0, 10, 100)<\/p>\n
          y = np.sin(x)<\/p>\n
          plt.plot(x, y)<\/p>\n
          \u81ea\u5b9a\u4e49x\u8f74\u523b\u5ea6\u548c\u6807\u7b7e<\/strong><\/h2>\n
          plt.xticks([0, 2, 4, 6, 8, 10], ['Zero', 'Two', 'Four', 'Six', 'Eight', 'Ten'])<\/p>\n
          plt.show()<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u4f7f\u523b\u5ea6\u6807\u7b7e\u66f4\u52a0\u7b26\u5408\u7279\u5b9a\u573a\u666f\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u6307\u5b9a\u7f51\u683c<\/p>\n<\/p>\n
          \u7f51\u683c\u7ebf\u5728\u56fe\u8868\u4e2d\u626e\u6f14\u7740\u91cd\u8981\u89d2\u8272\uff0c\u5b83\u4eec\u53ef\u4ee5\u5e2e\u52a9\u89c2\u4f17\u66f4\u5bb9\u6613\u5730\u8ddf\u8e2a\u6570\u636e\u7684\u53d8\u5316\u3002<\/p>\n<\/p>\n
            \n
          1. \u57fa\u7840\u7f51\u683c\u8bbe\u7f6e<\/li>\n<\/ol>\n
            \u53ef\u4ee5\u901a\u8fc7plt.grid<\/code>\u51fd\u6570\u6765\u542f\u7528\u6216\u7981\u7528\u7f51\u683c\u7ebf\u3002<\/p>\n<\/p>\n
            import matplotlib.pyplot as plt<\/p>\n
            import numpy as np<\/p>\n
            x = np.linspace(0, 10, 100)<\/p>\n
            y = np.sin(x)<\/p>\n
            plt.plot(x, y)<\/p>\n
            \u542f\u7528\u7f51\u683c<\/strong><\/h2>\n
            plt.grid(True)<\/p>\n
            plt.show()<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u81ea\u5b9a\u4e49\u7f51\u683c\u7ebf<\/li>\n<\/ol>\n
              plt.grid<\/code>\u51fd\u6570\u8fd8\u53ef\u4ee5\u63a5\u53d7\u53c2\u6570\u6765\u81ea\u5b9a\u4e49\u7f51\u683c\u7ebf\u7684\u5916\u89c2\u3002<\/p>\n<\/p>\n
              import matplotlib.pyplot as plt<\/p>\n
              import numpy as np<\/p>\n
              x = np.linspace(0, 10, 100)<\/p>\n
              y = np.sin(x)<\/p>\n
              plt.plot(x, y)<\/p>\n
              \u81ea\u5b9a\u4e49\u7f51\u683c\u7ebf<\/strong><\/h2>\n
              plt.grid(True, which='both', linestyle='--', linewidth=0.5, color='gray')<\/p>\n
              plt.show()<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0clinestyle<\/code>\u53c2\u6570\u7528\u4e8e\u8bbe\u7f6e\u7f51\u683c\u7ebf\u7684\u6837\u5f0f\uff0clinewidth<\/code>\u7528\u4e8e\u8bbe\u7f6e\u7f51\u683c\u7ebf\u7684\u5bbd\u5ea6\uff0ccolor<\/code>\u7528\u4e8e\u8bbe\u7f6e\u7f51\u683c\u7ebf\u7684\u989c\u8272\u3002<\/p>\n<\/p>\n
                \n
              1. \u63a7\u5236\u7f51\u683c\u7ebf\u7684\u663e\u793a<\/li>\n<\/ol>\n
                \u53ef\u4ee5\u901a\u8fc7which<\/code>\u53c2\u6570\u6765\u63a7\u5236\u7f51\u683c\u7ebf\u7684\u663e\u793a\u3002which<\/code>\u53c2\u6570\u53ef\u4ee5\u8bbe\u7f6e\u4e3a'major'<\/code>\u3001'minor'<\/code>\u6216'both'<\/code>\uff0c\u5206\u522b\u8868\u793a\u663e\u793a\u4e3b\u523b\u5ea6\u7f51\u683c\u7ebf\u3001\u6b21\u523b\u5ea6\u7f51\u683c\u7ebf\u6216\u4e24\u8005\u3002<\/p>\n<\/p>\n
                import matplotlib.pyplot as plt<\/p>\n
                import numpy as np<\/p>\n
                x = np.linspace(0, 10, 100)<\/p>\n
                y = np.sin(x)<\/p>\n
                plt.plot(x, y)<\/p>\n
                \u663e\u793a\u6b21\u523b\u5ea6\u7f51\u683c\u7ebf<\/strong><\/h2>\n
                plt.minorticks_on()<\/p>\n
                plt.grid(True, which='minor', linestyle=':', linewidth=0.5, color='blue')<\/p>\n
                plt.show()<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u56db\u3001\u7efc\u5408\u6848\u4f8b<\/p>\n<\/p>\n
                \u7ed3\u5408\u4ee5\u4e0a\u77e5\u8bc6\uff0c\u4e0b\u9762\u5c55\u793a\u4e00\u4e2a\u7efc\u5408\u6848\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u5728Matplotlib\u4e2d\u6307\u5b9a\u523b\u5ea6\u548c\u7f51\u683c\u3002<\/p>\n<\/p>\n
                import matplotlib.pyplot as plt<\/p>\n
                import numpy as np<\/p>\n
                x = np.linspace(0, 10, 100)<\/p>\n
                y = np.sin(x)<\/p>\n
                plt.plot(x, y)<\/p>\n
                \u8bbe\u7f6ex\u8f74\u523b\u5ea6\u548c\u6807\u7b7e<\/strong><\/h2>\n
                plt.xticks([0, 2, 4, 6, 8, 10], ['Zero', 'Two', 'Four', 'Six', 'Eight', 'Ten'])<\/p>\n
                \u8bbe\u7f6ey\u8f74\u523b\u5ea6<\/strong><\/h2>\n
                plt.yticks(np.arange(-1, 1.5, 0.5))<\/p>\n
                \u542f\u7528\u6b21\u523b\u5ea6<\/strong><\/h2>\n
                plt.minorticks_on()<\/p>\n
                \u81ea\u5b9a\u4e49\u7f51\u683c\u7ebf<\/strong><\/h2>\n
                plt.grid(True, which='both', linestyle='--', linewidth=0.5, color='gray')<\/p>\n
                plt.show()<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u5728\u8fd9\u4e2a\u7efc\u5408\u6848\u4f8b\u4e2d\uff0cx\u8f74\u523b\u5ea6\u88ab\u8bbe\u7f6e\u4e3a\u7279\u5b9a\u4f4d\u7f6e\u5e76\u9644\u4e0a\u4e86\u81ea\u5b9a\u4e49\u6807\u7b7e\uff0cy\u8f74\u523b\u5ea6\u5219\u662f\u901a\u8fc7np.arange<\/code>\u51fd\u6570\u6307\u5b9a\u7684\u3002\u7f51\u683c\u7ebf\u88ab\u542f\u7528\uff0c\u5e76\u4e14\u901a\u8fc7which='both'<\/code>\u53c2\u6570\u540c\u65f6\u663e\u793a\u4e86\u4e3b\u523b\u5ea6\u548c\u6b21\u523b\u5ea6\u7684\u7f51\u683c\u7ebf\u3002<\/p>\n<\/p>\n
                \u4e94\u3001\u9ad8\u7ea7\u81ea\u5b9a\u4e49<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528tick_params<\/code>\u81ea\u5b9a\u4e49\u523b\u5ea6\u5916\u89c2<\/li>\n<\/ol>\n
                  tick_params<\/code>\u51fd\u6570\u7528\u4e8e\u66f4\u7cbe\u7ec6\u5730\u63a7\u5236\u523b\u5ea6\u7684\u5916\u89c2\uff0c\u5305\u62ec\u65b9\u5411\u3001\u957f\u5ea6\u3001\u5bbd\u5ea6\u3001\u989c\u8272\u7b49\u3002<\/p>\n<\/p>\n
                  import matplotlib.pyplot as plt<\/p>\n
                  import numpy as np<\/p>\n
                  x = np.linspace(0, 10, 100)<\/p>\n
                  y = np.sin(x)<\/p>\n
                  plt.plot(x, y)<\/p>\n
                  \u81ea\u5b9a\u4e49\u523b\u5ea6\u53c2\u6570<\/strong><\/h2>\n
                  plt.tick_params(axis='x', direction='inout', length=10, width=2, colors='red')<\/p>\n
                  plt.show()<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cx\u8f74\u7684\u523b\u5ea6\u88ab\u8bbe\u7f6e\u4e3a\u5411\u5185\u5916\u5ef6\u4f38\uff0c\u957f\u5ea6\u4e3a10\uff0c\u5bbd\u5ea6\u4e3a2\uff0c\u989c\u8272\u4e3a\u7ea2\u8272\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u4f7f\u7528MultipleLocator<\/code>\u548cAutoMinorLocator<\/code><\/li>\n<\/ol>\n
                    MultipleLocator<\/code>\u548cAutoMinorLocator<\/code>\u53ef\u4ee5\u7528\u4e8e\u66f4\u7cbe\u7ec6\u5730\u63a7\u5236\u523b\u5ea6\u7684\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
                    import matplotlib.pyplot as plt<\/p>\n
                    import numpy as np<\/p>\n
                    from matplotlib.ticker import MultipleLocator, AutoMinorLocator<\/p>\n
                    x = np.linspace(0, 10, 100)<\/p>\n
                    y = np.sin(x)<\/p>\n
                    plt.plot(x, y)<\/p>\n
                    \u4f7f\u7528MultipleLocator\u8bbe\u7f6e\u4e3b\u523b\u5ea6<\/strong><\/h2>\n
                    plt.gca().xaxis.set_major_locator(MultipleLocator(2))<\/p>\n
                    \u4f7f\u7528AutoMinorLocator\u8bbe\u7f6e\u6b21\u523b\u5ea6<\/strong><\/h2>\n
                    plt.gca().xaxis.set_minor_locator(AutoMinorLocator(4))<\/p>\n
                    plt.grid(True, which='both', linestyle='--', linewidth=0.5, color='gray')<\/p>\n
                    plt.show()<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    MultipleLocator<\/code>\u7528\u4e8e\u8bbe\u7f6e\u4e3b\u523b\u5ea6\u7684\u95f4\u9694\uff0c\u800cAutoMinorLocator<\/code>\u5219\u7528\u4e8e\u81ea\u52a8\u751f\u6210\u6b21\u523b\u5ea6\u3002<\/p>\n<\/p>\n
                    \u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n
                    \u5728Python\u4e2d\u6307\u5b9a\u523b\u5ea6\u7f51\u683c\u662f\u901a\u8fc7Matplotlib\u5e93\u5b9e\u73b0\u7684\u3002\u901a\u8fc7\u4f7f\u7528xticks<\/code>\u3001yticks<\/code>\u3001grid<\/code>\u3001tick_params<\/code>\u4ee5\u53caMultipleLocator<\/code>\u7b49\u51fd\u6570\u548c\u7c7b\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u5730\u81ea\u5b9a\u4e49\u56fe\u8868\u7684\u523b\u5ea6\u548c\u7f51\u683c\u7ebf\u3002\u8fd9\u4e9b\u5de5\u5177\u63d0\u4f9b\u4e86\u6781\u5927\u7684\u7075\u6d3b\u6027\uff0c\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u6765\u8bbe\u8ba1\u56fe\u8868\uff0c\u4ece\u800c\u6709\u6548\u5730\u4f20\u8fbe\u6570\u636e\u7684\u610f\u4e49\u3002\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\uff0c\u5408\u7406\u5730\u4f7f\u7528\u523b\u5ea6\u548c\u7f51\u683c\u7ebf\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u5347\u56fe\u8868\u7684\u7f8e\u89c2\u5ea6\uff0c\u8fd8\u53ef\u4ee5\u5e2e\u52a9\u89c2\u4f17\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u3002<\/p>\n<\/p>\n
                    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
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