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Django 1.1 Testing and Debugging

You're reading from   Django 1.1 Testing and Debugging Building rigorously tested and bug-free Django applications

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Product type Paperback
Published in Apr 2010
Publisher Packt
ISBN-13 9781847197566
Length 436 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

Django 1.1 Testing and Debugging
Credits
About the Author
About the Reviewer
Preface
1. Django Testing Overview FREE CHAPTER 2. Does This Code Work? Doctests in Depth 3. Testing 1, 2, 3: Basic Unit Testing 4. Getting Fancier: Django Unit Test Extensions 5. Filling in the Blanks: Integrating Django and Other Test Tools 6. Django Debugging Overview 7. When the Wheels Fall Off: Understanding a Django Debug Page 8. When Problems Hide: Getting More Information 9. When You Don't Even Know What to Log: Using Debuggers 10. When All Else Fails: Getting Outside Help 11. When it's Time to Go Live: Moving to Production Index

Results display using matplotlib


The matplotlib library provides another alternative for generating charts from Python. It can be found on the Python Package Index site, http://pypi.python.org/pypi/matplotlib. The version of matplotlib used in this chapter is 0.98.3.

With matplotlib, our application cannot simply construct a URL and push the task of generating and serving the image data off to another host. Instead, we need to write a view that will generate and serve the image data. After some investigation of the matplotlib APIs, an initial implementation (in survey/views.py) might be:

from django.http import HttpResponse 
from survey.models import Question 
from matplotlib.figure import Figure 
from matplotlib.backends.backend_agg import FigureCanvasAgg as \FigureCanvas 

@log_view 
def answer_piechart(request, pk): 
    q = get_object_or_404(Question, pk=pk) 
    answer_set = q.answer_set.all() 
    x = [a.votes for a in answer_set] 
    labels = [a.answer for a in answer_set] 

    fig...
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