{"id":1028629,"date":"2024-12-31T11:01:18","date_gmt":"2024-12-31T03:01:18","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1028629.html"},"modified":"2024-12-31T11:01:20","modified_gmt":"2024-12-31T03:01:20","slug":"python%e5%a6%82%e4%bd%95%e5%af%b9%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e4%bd%bf%e7%94%a8js","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1028629.html","title":{"rendered":"python\u5982\u4f55\u5bf9\u6570\u636e\u5206\u6790\u4f7f\u7528js"},"content":{"rendered":"

\"python\u5982\u4f55\u5bf9\u6570\u636e\u5206\u6790\u4f7f\u7528js\"<\/p>\n

Python\u5982\u4f55\u5bf9\u6570\u636e\u5206\u6790\u4f7f\u7528JS<\/strong>\uff1a\u901a\u8fc7Web\u6846\u67b6\u7ed3\u5408\u3001\u4f7f\u7528Pyodide\u3001\u5229\u7528Emscripten\u3001\u524d\u540e\u7aef\u5206\u79bb\u7684\u67b6\u6784\u3001\u4f7f\u7528RESTful API\u3001\u96c6\u6210Jupyter Notebook\u548cJupyterLab\u3001\u4f7f\u7528Python\u7684\u5d4c\u5165\u5f0fJavaScript\u5f15\u64ce<\/strong>\u3002\u5176\u4e2d\uff0c\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\u662f\u901a\u8fc7Web\u6846\u67b6\u7ed3\u5408Python\u548cJavaScript\uff0c\u6765\u5b9e\u73b0\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u7684\u4ea4\u4e92\u3002<\/p>\n<\/p>\n

\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0cPython\u548cJavaScript\u7684\u7ed3\u5408\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\u662f\u901a\u8fc7Web\u6846\u67b6\uff08\u5982Flask\u6216Django\uff09\u6765\u5b9e\u73b0\u3002Web\u6846\u67b6\u5141\u8bb8\u5f00\u53d1\u8005\u5728\u540e\u7aef\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\uff0c\u5e76\u5c06\u7ed3\u679c\u4f20\u9012\u7ed9\u524d\u7aef\u7684JavaScript\u8fdb\u884c\u53ef\u89c6\u5316\u5c55\u793a\u3002\u8fd9\u6837\u53ef\u4ee5\u5145\u5206\u5229\u7528Python\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u548cJavaScript\u5728\u524d\u7aef\u7684\u52a8\u6001\u4ea4\u4e92\u6027\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u901a\u8fc7Web\u6846\u67b6\u7ed3\u5408<\/p>\n<\/p>\n

\u4f7f\u7528Web\u6846\u67b6\uff08\u5982Flask\u3001Django\u7b49\uff09\u6765\u7ed3\u5408Python\u548cJavaScript\u53ef\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002\u901a\u8fc7\u5728\u540e\u7aef\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\uff0c\u7136\u540e\u5c06\u7ed3\u679c\u4f20\u9012\u7ed9\u524d\u7aef\u7684JavaScript\u8fdb\u884c\u5c55\u793a\u548c\u4ea4\u4e92\uff0c\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u5145\u5206\u5229\u7528\u4e24\u8005\u7684\u4f18\u52bf\u3002<\/p>\n<\/p>\n

    \n
  1. Flask\u6846\u67b6<\/li>\n<\/ol>\n

    Flask\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684Web\u6846\u67b6\uff0c\u4f7f\u7528\u7b80\u5355\u7075\u6d3b\uff0c\u975e\u5e38\u9002\u5408\u5c0f\u578b\u5e94\u7528\u548c\u5feb\u901f\u5f00\u53d1\u3002\u5728Flask\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u8def\u7531\u5c06\u6570\u636e\u4f20\u9012\u7ed9\u524d\u7aef\uff0c\u524d\u7aef\u4f7f\u7528JavaScript\u6765\u5904\u7406\u548c\u5c55\u793a\u6570\u636e\u3002<\/p>\n<\/p>\n

    # app.py<\/p>\n
    from flask import Flask, render_template, jsonify<\/p>\n
    import pandas as pd<\/p>\n
    app = Flask(__name__)<\/p>\n
    @app.route('\/')<\/p>\n
    def index():<\/p>\n
        return render_template('index.html')<\/p>\n
    @app.route('\/data')<\/p>\n
    def data():<\/p>\n
        df = pd.read_csv('data.csv')<\/p>\n
        data = df.to_dict(orient='records')<\/p>\n
        return jsonify(data)<\/p>\n
    if __name__ == '__mAI<\/a>n__':<\/p>\n
        app.run(debug=True)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    <!-- index.html --><\/p>\n
    <!DOCTYPE html><\/p>\n
    <html lang="en"><\/p>\n
    <head><\/p>\n
        <meta charset="UTF-8"><\/p>\n
        <title>Data Analysis<\/title><\/p>\n
        <script src="https:\/\/code.jquery.com\/jquery-3.6.0.min.js"><\/script><\/p>\n
    <\/head><\/p>\n
    <body><\/p>\n
        <h1>Data Analysis<\/h1><\/p>\n
        <div id="data"><\/div><\/p>\n
        <script><\/p>\n
            $(document).ready(function() {<\/p>\n
                $.getJSON('\/data', function(data) {<\/p>\n
                    $('#data').html(JSON.stringify(data));<\/p>\n
                });<\/p>\n
            });<\/p>\n
        <\/script><\/p>\n
    <\/body><\/p>\n
    <\/html><\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. Django\u6846\u67b6<\/li>\n<\/ol>\n
      Django\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684Web\u6846\u67b6\uff0c\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u5185\u7f6e\u529f\u80fd\u548c\u590d\u6742\u7684\u7ed3\u6784\u3002\u5728Django\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u89c6\u56fe\u548c\u6a21\u677f\u6765\u4f20\u9012\u548c\u5c55\u793a\u6570\u636e\u3002<\/p>\n<\/p>\n
      # views.py<\/p>\n
      from django.shortcuts import render<\/p>\n
      from django.http import JsonResponse<\/p>\n
      import pandas as pd<\/p>\n
      def index(request):<\/p>\n
          return render(request, 'index.html')<\/p>\n
      def data(request):<\/p>\n
          df = pd.read_csv('data.csv')<\/p>\n
          data = df.to_dict(orient='records')<\/p>\n
          return JsonResponse(data, SAFe<\/a>=False)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      <!-- index.html --><\/p>\n
      <!DOCTYPE html><\/p>\n
      <html lang="en"><\/p>\n
      <head><\/p>\n
          <meta charset="UTF-8"><\/p>\n
          <title>Data Analysis<\/title><\/p>\n
          <script src="https:\/\/code.jquery.com\/jquery-3.6.0.min.js"><\/script><\/p>\n
      <\/head><\/p>\n
      <body><\/p>\n
          <h1>Data Analysis<\/h1><\/p>\n
          <div id="data"><\/div><\/p>\n
          <script><\/p>\n
              $(document).ready(function() {<\/p>\n
                  $.getJSON('\/data', function(data) {<\/p>\n
                      $('#data').html(JSON.stringify(data));<\/p>\n
                  });<\/p>\n
              });<\/p>\n
          <\/script><\/p>\n
      <\/body><\/p>\n
      <\/html><\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528Pyodide<\/p>\n<\/p>\n
      Pyodide\u662f\u4e00\u4e2a\u5c06Python\u89e3\u91ca\u5668\u7f16\u8bd1\u5230WebAssembly\u7684\u9879\u76ee\uff0c\u4f7f\u5f97Python\u53ef\u4ee5\u5728\u6d4f\u89c8\u5668\u4e2d\u8fd0\u884c\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u76f4\u63a5\u5728\u524d\u7aef\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u5206\u6790\uff0c\u800c\u4e0d\u9700\u8981\u4f9d\u8d56\u540e\u7aef\u3002<\/p>\n<\/p>\n
        \n
      1. \u5b89\u88c5Pyodide<\/li>\n<\/ol>\n
        \u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5Pyodide\u3002\u53ef\u4ee5\u4ecePyodide\u7684\u5b98\u65b9\u7f51\u7ad9\u4e0b\u8f7d\u5e76\u89e3\u538b\u5230\u9879\u76ee\u76ee\u5f55\u4e2d\u3002<\/p>\n<\/p>\n
          \n
        1. \u4f7f\u7528Pyodide<\/li>\n<\/ol>\n
          \u5728HTML\u6587\u4ef6\u4e2d\u5f15\u5165Pyodide\uff0c\u5e76\u7f16\u5199Python\u4ee3\u7801\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n
          <!DOCTYPE html><\/p>\n
          <html lang="en"><\/p>\n
          <head><\/p>\n
              <meta charset="UTF-8"><\/p>\n
              <title>Data Analysis with Pyodide<\/title><\/p>\n
              <script src="pyodide.js"><\/script><\/p>\n
          <\/head><\/p>\n
          <body><\/p>\n
              <h1>Data Analysis with Pyodide<\/h1><\/p>\n
              <div id="data"><\/div><\/p>\n
              <script type="text\/python"><\/p>\n
                  import pandas as pd<\/p>\n
                  import js<\/p>\n
                  data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}<\/p>\n
                  df = pd.DataFrame(data)<\/p>\n
                  js.document.getElementById('data').innerHTML = df.to_html()<\/p>\n
              <\/script><\/p>\n
              <script><\/p>\n
                  async function main() {<\/p>\n
                      await loadPyodide();<\/p>\n
                      await pyodide.runPythonAsync(`<\/p>\n
                          import pandas as pd<\/p>\n
                          import js<\/p>\n
                          data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}<\/p>\n
                          df = pd.DataFrame(data)<\/p>\n
                          js.document.getElementById('data').innerHTML = df.to_html()<\/p>\n
                      `);<\/p>\n
                  }<\/p>\n
                  main();<\/p>\n
              <\/script><\/p>\n
          <\/body><\/p>\n
          <\/html><\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4e09\u3001\u5229\u7528Emscripten<\/p>\n<\/p>\n
          Emscripten\u662f\u4e00\u4e2a\u5c06C\/C++\u4ee3\u7801\u7f16\u8bd1\u5230WebAssembly\u7684\u5de5\u5177\u94fe\u3002\u53ef\u4ee5\u5c06Python\u89e3\u91ca\u5668\u7f16\u8bd1\u4e3aWebAssembly\uff0c\u7136\u540e\u5728\u6d4f\u89c8\u5668\u4e2d\u8fd0\u884cPython\u4ee3\u7801\u3002<\/p>\n<\/p>\n
            \n
          1. \u7f16\u8bd1Python\u89e3\u91ca\u5668<\/li>\n<\/ol>\n
            \u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5Emscripten\uff0c\u5e76\u4f7f\u7528\u5b83\u5c06Python\u89e3\u91ca\u5668\u7f16\u8bd1\u4e3aWebAssembly\u3002<\/p>\n<\/p>\n
            emcc -o python.html python.c<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u4f7f\u7528\u7f16\u8bd1\u540e\u7684Python\u89e3\u91ca\u5668<\/li>\n<\/ol>\n
              \u5728HTML\u6587\u4ef6\u4e2d\u5f15\u5165\u7f16\u8bd1\u540e\u7684Python\u89e3\u91ca\u5668\uff0c\u5e76\u7f16\u5199Python\u4ee3\u7801\u8fdb\u884c\u6570\u636e\u5206\u6790\u3002<\/p>\n<\/p>\n
              <!DOCTYPE html><\/p>\n
              <html lang="en"><\/p>\n
              <head><\/p>\n
                  <meta charset="UTF-8"><\/p>\n
                  <title>Data Analysis with Emscripten<\/title><\/p>\n
                  <script src="python.js"><\/script><\/p>\n
              <\/head><\/p>\n
              <body><\/p>\n
                  <h1>Data Analysis with Emscripten<\/h1><\/p>\n
                  <div id="data"><\/div><\/p>\n
                  <script><\/p>\n
                      Module.onRuntimeInitialized = function() {<\/p>\n
                          var pyodide = Module;<\/p>\n
                          pyodide.run(`<\/p>\n
                              import pandas as pd<\/p>\n
                              import js<\/p>\n
                              data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}<\/p>\n
                              df = pd.DataFrame(data)<\/p>\n
                              js.document.getElementById('data').innerHTML = df.to_html()<\/p>\n
                          `);<\/p>\n
                      };<\/p>\n
                  <\/script><\/p>\n
              <\/body><\/p>\n
              <\/html><\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u56db\u3001\u524d\u540e\u7aef\u5206\u79bb\u7684\u67b6\u6784<\/p>\n<\/p>\n
              \u5728\u524d\u540e\u7aef\u5206\u79bb\u7684\u67b6\u6784\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528RESTful API\u6765\u4f20\u9012\u6570\u636e\u3002\u540e\u7aef\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\uff0c\u524d\u7aef\u4f7f\u7528JavaScript\u8fdb\u884c\u6570\u636e\u5c55\u793a\u548c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n
                \n
              1. \u521b\u5efaRESTful API<\/li>\n<\/ol>\n
                \u5728\u540e\u7aef\u4f7f\u7528Flask\u6216Django\u521b\u5efaRESTful API\uff0c\u63d0\u4f9b\u6570\u636e\u63a5\u53e3\u3002<\/p>\n<\/p>\n
                # app.py (Flask)<\/p>\n
                from flask import Flask, jsonify<\/p>\n
                import pandas as pd<\/p>\n
                app = Flask(__name__)<\/p>\n
                @app.route('\/api\/data')<\/p>\n
                def data():<\/p>\n
                    df = pd.read_csv('data.csv')<\/p>\n
                    data = df.to_dict(orient='records')<\/p>\n
                    return jsonify(data)<\/p>\n
                if __name__ == '__main__':<\/p>\n
                    app.run(debug=True)<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                  \n
                1. \u5728\u524d\u7aef\u4f7f\u7528API<\/li>\n<\/ol>\n
                  \u5728\u524d\u7aef\u4f7f\u7528JavaScript\u901a\u8fc7AJAX\u8bf7\u6c42API\uff0c\u83b7\u53d6\u6570\u636e\u5e76\u8fdb\u884c\u5c55\u793a\u548c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n
                  <!DOCTYPE html><\/p>\n
                  <html lang="en"><\/p>\n
                  <head><\/p>\n
                      <meta charset="UTF-8"><\/p>\n
                      <title>Data Analysis with RESTful API<\/title><\/p>\n
                      <script src="https:\/\/code.jquery.com\/jquery-3.6.0.min.js"><\/script><\/p>\n
                  <\/head><\/p>\n
                  <body><\/p>\n
                      <h1>Data Analysis with RESTful API<\/h1><\/p>\n
                      <div id="data"><\/div><\/p>\n
                      <script><\/p>\n
                          $(document).ready(function() {<\/p>\n
                              $.getJSON('\/api\/data', function(data) {<\/p>\n
                                  $('#data').html(JSON.stringify(data));<\/p>\n
                              });<\/p>\n
                          });<\/p>\n
                      <\/script><\/p>\n
                  <\/body><\/p>\n
                  <\/html><\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u4e94\u3001\u4f7f\u7528Python\u7684\u5d4c\u5165\u5f0fJavaScript\u5f15\u64ce<\/p>\n<\/p>\n
                  \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5d4c\u5165\u5f0fJavaScript\u5f15\u64ce\uff08\u5982PyExecJS\uff09\u6765\u6267\u884cJavaScript\u4ee3\u7801\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5728Python\u4ee3\u7801\u4e2d\u76f4\u63a5\u8c03\u7528JavaScript\u4ee3\u7801\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u5b89\u88c5PyExecJS<\/li>\n<\/ol>\n
                    \u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5PyExecJS\u5e93\u3002<\/p>\n<\/p>\n
                    pip install PyExecJS<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u4f7f\u7528PyExecJS\u6267\u884cJavaScript\u4ee3\u7801<\/li>\n<\/ol>\n
                      \u5728Python\u4ee3\u7801\u4e2d\u4f7f\u7528PyExecJS\u6267\u884cJavaScript\u4ee3\u7801\uff0c\u5e76\u83b7\u53d6\u7ed3\u679c\u3002<\/p>\n<\/p>\n
                      import execjs<\/p>\n
                      js_code = """<\/p>\n
                      function analyzeData(data) {<\/p>\n
                          return data.map(function(item) {<\/p>\n
                              return item * 2;<\/p>\n
                          });<\/p>\n
                      }<\/p>\n
                      """<\/p>\n
                      data = [1, 2, 3, 4, 5]<\/p>\n
                      ctx = execjs.compile(js_code)<\/p>\n
                      result = ctx.call('analyzeData', data)<\/p>\n
                      print(result)<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                      \u516d\u3001\u96c6\u6210Jupyter Notebook\u548cJupyterLab<\/p>\n<\/p>\n
                      Jupyter Notebook\u548cJupyterLab\u662f\u975e\u5e38\u6d41\u884c\u7684\u4ea4\u4e92\u5f0f\u8ba1\u7b97\u73af\u5883\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5305\u62ecPython\u548cJavaScript\u3002\u5728Jupyter Notebook\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528IPython\u5185\u6838\u8fdb\u884cPython\u6570\u636e\u5206\u6790\uff0c\u5e76\u901a\u8fc7JavaScript\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
                        \n
                      1. \u5b89\u88c5Jupyter Notebook\u548cJupyterLab<\/li>\n<\/ol>\n
                        \u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5Jupyter Notebook\u548cJupyterLab\u3002<\/p>\n<\/p>\n
                        pip install notebook jupyterlab<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        1. \u4f7f\u7528Jupyter Notebook\u548cJupyterLab<\/li>\n<\/ol>\n
                          \u5728Jupyter Notebook\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528IPython\u5185\u6838\u8fdb\u884cPython\u6570\u636e\u5206\u6790\uff0c\u5e76\u901a\u8fc7JavaScript\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
                          import pandas as pd<\/p>\n
                          import matplotlib.pyplot as plt<\/p>\n
                          data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}<\/p>\n
                          df = pd.DataFrame(data)<\/p>\n
                          df.plot(kind='bar', x='Name', y='Age')<\/p>\n
                          plt.show()<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                          <!DOCTYPE html><\/p>\n
                          <html lang="en"><\/p>\n
                          <head><\/p>\n
                              <meta charset="UTF-8"><\/p>\n
                              <title>Data Analysis with JupyterLab<\/title><\/p>\n
                              <script src="https:\/\/code.jquery.com\/jquery-3.6.0.min.js"><\/script><\/p>\n
                          <\/head><\/p>\n
                          <body><\/p>\n
                              <h1>Data Analysis with JupyterLab<\/h1><\/p>\n
                              <div id="data"><\/div><\/p>\n
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                          <\/code><\/pre>\n<\/p>\n
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