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Here are the steps to present a pandas DataFrame on a Django template:

1. First, you need to install pandas and Django if you have not already done so. You can use the following pip commands to install them:

   pip install pandas
   pip install Django
   

2. Create a pandas DataFrame with the data you want to present on the Django template.

3. Pass the DataFrame as context to the Django template. To do this, you need to create a view in Django that renders the template and passes the DataFrame as context. Here is an example view:

   from django.shortcuts import render
   import pandas as pd
   
   def my_view(request):
       # Create your DataFrame
       df = pd.DataFrame({'name': ['Alice', 'Bob', 'Charlie'], 'age': [25, 30, 35]})
   
       # Pass the DataFrame as context to the template
       context = {'df':df}
   
       # Render the template with the context
       return render(request, 'my_template.html', context)
   

4. Create a Django template that displays the DataFrame. You can use the Django template language to loop over the rows of the DataFrame and display the data. Here is an example template:

   <table>
       <tr>
           <th>Name</th>
           <th>Age</th>
       </tr>
       {% for index, row in df.iterrows %}
           <tr>
               <td>{{ row['name'] }}</td>
               <td>{{ row['age'] }}</td>
           </tr>
       {% endfor %}
   </table>
   

This template will display the DataFrame as a table with two columns (Name and Age) and three rows (one for each row in the DataFrame).