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  1. PO
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    <p>A proper crosstab requires a value for each dimension member. Here's something I made up (see below). You could use this in a Django template like in the doctext example. So you'd issue queries for 1) all Store values, 2) all type_detail values and 3) quantity per store and type_detail. The result of the third query then into a dictionary of (store, type) => quantity.</p> <pre class="lang-python prettyprint-override"><code>class Cube(object): """Iterable sparse cube. Iterating gives an item for every dimension member. &gt;&gt;&gt; pythons = ['eric', 'john', 'terry'] &gt;&gt;&gt; cheeses = ['limburg', 'feta', 'parmigiano'] &gt;&gt;&gt; cheese_consumption = { ('eric', 'limburg'): 2, ('eric', 'parmigiano'): 4, ('john', 'feta'): 5 } &gt;&gt;&gt; cheese_cube = Cube((pythons, cheeses), cheese_consumption) &gt;&gt;&gt; for python, python_cheeses in cheese_cube: for cheese, consumption in python_cheeses: print python, cheese, consumption or 0 eric limburg 2 eric feta 0 eric parmigiano 4 john limburg 0 john feta 5 john parmigiano 0 terry limburg 0 terry feta 0 terry parmigiano 0 """ def __init__(self, dimensions, facts, slice=None): self.dimensions = dimensions self.data_dict = facts self.slice = slice or () def __iter__(self): if len(self.slice) + 1 &lt; len(self.dimensions): for item in self.dimensions[len(self.slice)]: yield item, Cube(self.dimensions, self.data_dict, self.slice + (item,)) else: for item in self.dimensions[len(self.slice)]: yield item, self.data_dict.get(self.slice + (item,), None) </code></pre>
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    1. POHow could create a crosstab SQL query with Django ORM?
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    1. USWaldo
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