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Rendering Data-Frame to html template in table view using Django Framework

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  • Difficulty Level : Easy
  • Last Updated : 05 Sep, 2020
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In Django, It is easy to render the HTML templates by setting URLs of respective HTML pages. Here we will let to know about how we can work with DataFrame to modify them for table view in the HTML template or web-pages, and for that, we have to use ‘render’ and ‘HttpResponse’ functions to manipulate the data inside the DataFrame.

Sample DataFrame:

Methods to render dataframe to html template –

  • Using pandas.DataFrame.to_html(): By using this inbuilt function ‘to_html()‘ to convert DataFrame into HTML template. After using this method, the overall DataFrame is converted to ‘table’ html element, while the name of each column are transformed into ‘thead’ tag of table head. Whereas, each row of the DataFrame is transformed into ‘tr’ tag of table row element in HTML template page.

    from django.shortcuts import HttpResponse
    import pandas as pd
    def Table(request):
        df = pd.read_csv("tableview/static/csv/20_Startups.csv")
        #'tableview/static/csv/20_Startups.csv' is the django 
        # directory where csv file exist.
        # Manipulate DataFrame using to_html() function
        geeks_object = df.to_html()
        return HttpResponse(geeks_object)

    The `urlpatterns` list routes URLs to views. For more information please see:
    Function views
        1. Add an import:  from my_app import views
        2. Add a URL to urlpatterns:  path('', views.home, name ='home')
    Class-based views
        1. Add an import:  from other_app.views import Home
        2. Add a URL to urlpatterns:  path('', Home.as_view(), name ='home')
    Including another URLconf
        1. Import the include() function: from django.urls import include, path
        2. Add a URL to urlpatterns:  path('blog/', include('blog.urls'))
    from django.contrib import admin
    from django.urls import path
    from tableview import views
    urlpatterns = [
        path('', views.Table, name ="table"),


  • Parsing DataFrame into Json objects and render into bootstrap template: Here we use proper bootstrap template and get a table view using render() function.

    # Write Python3 code here
    from django.shortcuts import render
    import pandas as pd
    import json
    # Create your views here.
    def Table(request):
        df = pd.read_csv("tableview/static/csv/20_Startups.csv")
        # parsing the DataFrame in json format.
        json_records = df.reset_index().to_json(orient ='records')
        data = []
        data = json.loads(json_records)
        context = {'d': data}
        return render(request, 'table.html', context)

    table.html (‘Bootstrap HTML Template’)

    <!-- Write HTML code here -->
    <!DOCTYPE html>
    <html lang="en">
      <title>TableView - Startup</title>
      <meta charset="utf-8">
      <meta name="viewport" content="width=device-width, initial-scale=1">
    <div class="container">
      <h2 class="text-center"><u>20 - Startups Table</u></h2><br>            
      <table class="table table-dark table-striped">
            <th>R&D Spend</th>
            <th>Marketing Spend</th>
        <!-- jinja2 Technique -->
        {% if d %}  
        {% for i in d %}
        {% endfor %}
        {% endif %}


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