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Makes it easy to convert Python data structures to JSON strings suitable for flot series and options
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|safe }}, {{ graph.options_json|safe }});
});
</script>
.. _flot: http://code.google.com/p/flot/
FAQs
Makes it easy to convert Python data structures to JSON strings suitable for flot series and options
We found that python-flot-utils demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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