{"id":1039054,"date":"2024-12-31T12:29:17","date_gmt":"2024-12-31T04:29:17","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1039054.html"},"modified":"2024-12-31T12:29:19","modified_gmt":"2024-12-31T04:29:19","slug":"python3-7-%e7%94%bb%e5%9b%be%e5%a6%82%e4%bd%95%e8%b7%b3%e5%87%ba%e6%9d%a5","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1039054.html","title":{"rendered":"python3.7 \u753b\u56fe\u5982\u4f55\u8df3\u51fa\u6765"},"content":{"rendered":"

\"python3.7<\/p>\n

\u4f7f\u7528Python 3.7\u8fdb\u884c\u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\u4f7f\u56fe\u5f62\u7a97\u53e3\u5f39\u51fa\uff1a\u4f7f\u7528matplotlib\u5e93\u3001\u4f7f\u7528Tkinter\u5e93\u3001\u4f7f\u7528PyQt\u5e93\u3002<\/strong>\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u51e0\u79cd\u65b9\u6cd5\uff0c\u5e76\u7ed9\u51fa\u76f8\u5e94\u7684\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528matplotlib\u5e93<\/strong><\/p>\n<\/p>\n

matplotlib\u662fPython\u4e2d\u6700\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u7075\u6d3b\u7684\u63a5\u53e3\uff0c\u4f7f\u5f97\u7ed8\u5236\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\u53d8\u5f97\u975e\u5e38\u7b80\u5355\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528matplotlib\u5e93\u7ed8\u56fe\u5e76\u5f39\u51fa\u56fe\u5f62\u7a97\u53e3\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

    \n
  1. \u5b89\u88c5matplotlib\u5e93<\/li>\n
  2. \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/li>\n
  3. \u521b\u5efa\u6570\u636e<\/li>\n
  4. \u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/li>\n
  5. \u7ed8\u5236\u56fe\u5f62<\/li>\n
  6. \u663e\u793a\u56fe\u5f62\u7a97\u53e3<\/li>\n<\/ol>\n

    # \u5b89\u88c5matplotlib\u5e93<\/p>\n
    pip install matplotlib<\/p>\n
    \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/strong><\/h2>\n
    import matplotlib.pyplot as plt<\/p>\n
    \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
    x = [1, 2, 3, 4, 5]<\/p>\n
    y = [2, 3, 5, 7, 11]<\/p>\n
    \u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/strong><\/h2>\n
    fig, ax = plt.subplots()<\/p>\n
    \u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
    ax.plot(x, y)<\/p>\n
    \u663e\u793a\u56fe\u5f62\u7a97\u53e3<\/strong><\/h2>\n
    plt.show()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528Tkinter\u5e93<\/strong><\/p>\n<\/p>\n
    Tkinter\u662fPython\u7684\u6807\u51c6GUI\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u7b80\u5355\u7684\u56fe\u5f62\u7528\u6237\u754c\u9762\u3002\u901a\u8fc7\u5c06Tkinter\u4e0ematplotlib\u7ed3\u5408\u4f7f\u7528\uff0c\u53ef\u4ee5\u5728GUI\u7a97\u53e3\u4e2d\u5d4c\u5165\u56fe\u5f62\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Tkinter\u5e93\u7ed8\u56fe\u5e76\u5f39\u51fa\u56fe\u5f62\u7a97\u53e3\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
      \n
    1. \u5b89\u88c5matplotlib\u5e93<\/li>\n
    2. \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/li>\n
    3. \u521b\u5efa\u6570\u636e<\/li>\n
    4. \u521b\u5efaTkinter\u7a97\u53e3<\/li>\n
    5. \u5c06matplotlib\u56fe\u5f62\u5d4c\u5165Tkinter\u7a97\u53e3<\/li>\n
    6. \u663e\u793a\u56fe\u5f62\u7a97\u53e3<\/li>\n<\/ol>\n
      # \u5b89\u88c5matplotlib\u5e93<\/p>\n
      pip install matplotlib<\/p>\n
      \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/strong><\/h2>\n
      import matplotlib.pyplot as plt<\/p>\n
      from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg<\/p>\n
      import tkinter as tk<\/p>\n
      \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
      x = [1, 2, 3, 4, 5]<\/p>\n
      y = [2, 3, 5, 7, 11]<\/p>\n
      \u521b\u5efaTkinter\u7a97\u53e3<\/strong><\/h2>\n
      root = tk.Tk()<\/p>\n
      root.title("Matplotlib in Tkinter")<\/p>\n
      \u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/strong><\/h2>\n
      fig, ax = plt.subplots()<\/p>\n
      ax.plot(x, y)<\/p>\n
      \u5c06matplotlib\u56fe\u5f62\u5d4c\u5165Tkinter\u7a97\u53e3<\/strong><\/h2>\n
      canvas = FigureCanvasTkAgg(fig, master=root)<\/p>\n
      canvas.draw()<\/p>\n
      canvas.get_tk_widget().pack()<\/p>\n
      \u663e\u793a\u56fe\u5f62\u7a97\u53e3<\/strong><\/h2>\n
      tk.mAI<\/a>nloop()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e09\u3001\u4f7f\u7528PyQt\u5e93<\/strong><\/p>\n<\/p>\n
      PyQt\u662f\u4e00\u4e2a\u5f3a\u5927\u7684Python GUI\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u590d\u6742\u7684\u56fe\u5f62\u7528\u6237\u754c\u9762\u3002\u901a\u8fc7\u5c06PyQt\u4e0ematplotlib\u7ed3\u5408\u4f7f\u7528\uff0c\u53ef\u4ee5\u5728GUI\u7a97\u53e3\u4e2d\u5d4c\u5165\u56fe\u5f62\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528PyQt\u5e93\u7ed8\u56fe\u5e76\u5f39\u51fa\u56fe\u5f62\u7a97\u53e3\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
        \n
      1. \u5b89\u88c5PyQt\u548cmatplotlib\u5e93<\/li>\n
      2. \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/li>\n
      3. \u521b\u5efa\u6570\u636e<\/li>\n
      4. \u521b\u5efaPyQt\u7a97\u53e3<\/li>\n
      5. \u5c06matplotlib\u56fe\u5f62\u5d4c\u5165PyQt\u7a97\u53e3<\/li>\n
      6. \u663e\u793a\u56fe\u5f62\u7a97\u53e3<\/li>\n<\/ol>\n
        # \u5b89\u88c5PyQt\u548cmatplotlib\u5e93<\/p>\n
        pip install PyQt5 matplotlib<\/p>\n
        \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/strong><\/h2>\n
        import sys<\/p>\n
        import matplotlib.pyplot as plt<\/p>\n
        from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas<\/p>\n
        from PyQt5.QtWidgets import QApplication, QMainWindow, QVBoxLayout, QWidget<\/p>\n
        \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
        x = [1, 2, 3, 4, 5]<\/p>\n
        y = [2, 3, 5, 7, 11]<\/p>\n
        \u521b\u5efaPyQt\u7a97\u53e3<\/strong><\/h2>\n
        class MainWindow(QMainWindow):<\/p>\n
            def __init__(self, *args, kwargs):<\/p>\n
                super(MainWindow, self).__init__(*args, kwargs)<\/p>\n
                self.setWindowTitle("Matplotlib in PyQt")<\/p>\n
                # \u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/p>\n
                fig, ax = plt.subplots()<\/p>\n
                ax.plot(x, y)<\/p>\n
                # \u5c06matplotlib\u56fe\u5f62\u5d4c\u5165PyQt\u7a97\u53e3<\/p>\n
                canvas = FigureCanvas(fig)<\/p>\n
                layout = QVBoxLayout()<\/p>\n
                layout.addWidget(canvas)<\/p>\n
                container = QWidget()<\/p>\n
                container.setLayout(layout)<\/p>\n
                self.setCentralWidget(container)<\/p>\n
        \u663e\u793a\u56fe\u5f62\u7a97\u53e3<\/strong><\/h2>\n
        app = QApplication(sys.argv)<\/p>\n
        window = MainWindow()<\/p>\n
        window.show()<\/p>\n
        app.exec_()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u56db\u3001\u4f7f\u7528Plotly\u5e93<\/strong><\/p>\n<\/p>\n
        Plotly\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7684\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u9ad8\u8d28\u91cf\u7684\u56fe\u5f62\u548c\u53ef\u89c6\u5316\u3002\u5b83\u53ef\u4ee5\u5728Web\u6d4f\u89c8\u5668\u4e2d\u663e\u793a\u56fe\u5f62\uff0c\u5e76\u652f\u6301\u591a\u79cd\u4ea4\u4e92\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Plotly\u5e93\u7ed8\u56fe\u5e76\u5f39\u51fa\u56fe\u5f62\u7a97\u53e3\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
          \n
        1. \u5b89\u88c5Plotly\u5e93<\/li>\n
        2. \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/li>\n
        3. \u521b\u5efa\u6570\u636e<\/li>\n
        4. \u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/li>\n
        5. \u663e\u793a\u56fe\u5f62<\/li>\n<\/ol>\n
          # \u5b89\u88c5Plotly\u5e93<\/p>\n
          pip install plotly<\/p>\n
          \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/strong><\/h2>\n
          import plotly.graph_objects as go<\/p>\n
          \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
          x = [1, 2, 3, 4, 5]<\/p>\n
          y = [2, 3, 5, 7, 11]<\/p>\n
          \u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/strong><\/h2>\n
          fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines'))<\/p>\n
          \u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
          fig.show()<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4e94\u3001\u4f7f\u7528Bokeh\u5e93<\/strong><\/p>\n<\/p>\n
          Bokeh\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u52a8\u6001\u548c\u4ea4\u4e92\u5f0f\u7684\u56fe\u5f62\u3002\u5b83\u53ef\u4ee5\u5728Web\u6d4f\u89c8\u5668\u4e2d\u663e\u793a\u56fe\u5f62\uff0c\u5e76\u652f\u6301\u591a\u79cd\u4ea4\u4e92\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Bokeh\u5e93\u7ed8\u56fe\u5e76\u5f39\u51fa\u56fe\u5f62\u7a97\u53e3\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
            \n
          1. \u5b89\u88c5Bokeh\u5e93<\/li>\n
          2. \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/li>\n
          3. \u521b\u5efa\u6570\u636e<\/li>\n
          4. \u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/li>\n
          5. \u663e\u793a\u56fe\u5f62<\/li>\n<\/ol>\n
            # \u5b89\u88c5Bokeh\u5e93<\/p>\n
            pip install bokeh<\/p>\n
            \u5bfc\u5165\u5fc5\u8981\u7684\u6a21\u5757<\/strong><\/h2>\n
            from bokeh.plotting import figure, show<\/p>\n
            from bokeh.io import output_notebook<\/p>\n
            \u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
            x = [1, 2, 3, 4, 5]<\/p>\n
            y = [2, 3, 5, 7, 11]<\/p>\n
            \u521b\u5efa\u56fe\u5f62\u5bf9\u8c61<\/strong><\/h2>\n
            p = figure(title="Bokeh Line Plot", x_axis_label='X', y_axis_label='Y')<\/p>\n
            p.line(x, y, legend_label='Line', line_width=2)<\/p>\n
            \u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
            output_notebook()<\/p>\n
            show(p)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u4ee5\u4e0a\u4ecb\u7ecd\u4e86\u4f7f\u7528Python 3.7\u8fdb\u884c\u7ed8\u56fe\u5e76\u5f39\u51fa\u56fe\u5f62\u7a97\u53e3\u7684\u51e0\u79cd\u65b9\u6cd5\u3002\u901a\u8fc7\u4f7f\u7528matplotlib\u3001Tkinter\u3001PyQt\u3001Plotly\u548cBokeh\u7b49\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u521b\u5efa\u5e76\u663e\u793a\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u53ef\u4ee5\u63d0\u9ad8\u7ed8\u56fe\u6548\u7387\u548c\u56fe\u5f62\u7684\u4ea4\u4e92\u6027\u3002<\/p>\n<\/p>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
             \u5982\u4f55\u5728Python 3.7\u4e2d\u4f7f\u7528matplotlib\u7ed8\u5236\u56fe\u5f62\u5e76\u5173\u95ed\u7a97\u53e3\uff1f<\/strong>
            \u5728Python 3.7\u4e2d\uff0c\u4f7f\u7528matplotlib\u5e93\u7ed8\u5236\u56fe\u5f62\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528plt.show()<\/code>\u547d\u4ee4\u663e\u793a\u56fe\u5f62\u7a97\u53e3\uff0c\u540c\u65f6\u53ef\u4ee5\u901a\u8fc7\u70b9\u51fb\u7a97\u53e3\u7684\u5173\u95ed\u6309\u94ae\u6765\u624b\u52a8\u5173\u95ed\u56fe\u5f62\u3002\u5982\u679c\u5e0c\u671b\u5728\u4ee3\u7801\u4e2d\u81ea\u52a8\u5173\u95ed\u56fe\u5f62\u7a97\u53e3\uff0c\u53ef\u4ee5\u4f7f\u7528plt.close()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u3002<\/p>\n
            \u5728Python 3.7\u4e2d\uff0c\u5982\u4f55\u5728\u7ed8\u56fe\u65f6\u907f\u514d\u963b\u585e\u7a0b\u5e8f\u8fd0\u884c\uff1f<\/strong>
            \u5982\u679c\u5e0c\u671b\u5728\u7ed8\u56fe\u65f6\u4e0d\u963b\u585e\u7a0b\u5e8f\u7684\u6267\u884c\uff0c\u53ef\u4ee5\u4f7f\u7528plt.show(block=False)<\/code>\u3002\u8fd9\u6837\uff0c\u56fe\u5f62\u4f1a\u5728\u540e\u53f0\u6253\u5f00\uff0c\u60a8\u53ef\u4ee5\u7ee7\u7eed\u6267\u884c\u540e\u9762\u7684\u4ee3\u7801\uff0c\u800c\u4e0d\u5fc5\u7b49\u5f85\u56fe\u5f62\u7a97\u53e3\u5173\u95ed\u3002<\/p>\n
            \u4f7f\u7528Python 3.7\u7ed8\u56fe\u65f6\uff0c\u5982\u4f55\u8bbe\u7f6e\u56fe\u5f62\u7684\u4fdd\u5b58\u8def\u5f84\uff1f<\/strong>
            \u5728\u4f7f\u7528matplotlib\u7ed8\u56fe\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7plt.savefig('\u8def\u5f84\/\u6587\u4ef6\u540d.png')<\/code>\u6765\u4fdd\u5b58\u56fe\u5f62\u3002\u786e\u4fdd\u6307\u5b9a\u7684\u8def\u5f84\u5b58\u5728\uff0c\u5e76\u4e14\u6587\u4ef6\u540d\u4e2d\u5305\u542b\u5408\u9002\u7684\u6269\u5c55\u540d\uff08\u5982.png\u3001.jpg\u7b49\uff09\uff0c\u8fd9\u6837\u5c31\u53ef\u4ee5\u5c06\u7ed8\u5236\u7684\u56fe\u5f62\u4fdd\u5b58\u5230\u6307\u5b9a\u7684\u4f4d\u7f6e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python 3.7\u8fdb\u884c\u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\u4f7f\u56fe\u5f62\u7a97\u53e3\u5f39\u51fa\uff1a\u4f7f\u7528matplotlib\u5e93\u3001\u4f7f\u7528Tki […]","protected":false},"author":3,"featured_media":1039065,"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\/1039054"}],"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=1039054"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1039054\/revisions"}],"predecessor-version":[{"id":1039069,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1039054\/revisions\/1039069"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1039065"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1039054"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1039054"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1039054"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}