PyFlot makes it easy to generate flot_ graphs. Its primary goal is to
allow one to specify data inputs and options in a Python application
and generate the appropriate JSON. Common uses of this will be rendering
into a template as flot() arguments or as the payload of an XHR response.
PyFlot takes care of all the annoying details of converting types to match
up with how flot expects them.
For example::
>>> import pyflot
>>> graph = pyflot.Flot()
>>> graph.add_line([(1, 1), (2, 2), (3, 3)])
>>> print graph.series_json
[{"data": [[1, 1], [2, 2], [3, 3]]}]In this simple example the series_json is a JSON string
in the format expected by flot.
The following Django template snippet shows how you might use it in a Django template::
<script id="source" language="javascript" type="text/javascript">
$(function () {
$.plot($("#linear-graph"), {{ graph.series_json }}, {{ graph.options_json }});
});
</script> .. _flot: http://code.google.com/p/flot/