Hi Rich,
On 25.03.08, Rich Shepard wrote:
> I'm reading the users manual and looking at examples on the web site's
> gallery pages (integral seems relevant to me). Attached are two files, one
> has the data and testing application code, the other the plotting functions.
>
> Something has been left out. Here's the python traceback:
>
> Traceback (most recent call last):
> File "testData.py", line 58, in ?
> testCode()
> File "testData.py", line 37, in testCode
> testFunctions.linearDecrCurve(row[10],row[9])
> File "/data1/eikos/testFunctions.py", line 186, in linearDecrCurve
> g.plot(x, y)
> File "/usr/lib/python2.4/site-packages/pyx/graph/graph.py", line 191, in
> plot
> plotitems.append(plotitem(self, d, styles))
> File "/usr/lib/python2.4/site-packages/pyx/graph/graph.py", line 52, in
> __init__
> self.title = data.title
> AttributeError: 'float' object has no attribute 'title'
>
> What have I done incorrectly, and what's the proper way to assign axes
> titles?
The problem is that with PyX you have to wrap your data (either
functions, lists or files) in certain data provider classes, e.g.
g.plot(graph.data.function("y(x)=sin(x)")
or
g.plot(graph.data.values(x=[1,2,3], y=[1,4,9]))
As pointed out by David, have a look at the examples on the webpage,
in particular:
http://pyx.sourceforge.net/examples/graphs/function.html
Admittedly, an example for the second use case outlined above had been
missing, but has been added in the PyX repository just today due to a
corresponding request on this list.
Note furthermore that when plotting "non-standard" mathematical functions,
especially functions you have defined yourself, you have to tell the
data class under which name you want to access them, e.g.
def f(x):
# calculate result y
return y
g.plot(graph.data.function("y(x)=f(x)", context={"f": f}))
Finally, as a side remark: Try to start with a reduced version of your
code and build the more complex version only after the simple parts
work. Especially when asking for help on this list, post a minimal
example in order to allow people to quickly identify what's going on.
HTH,
Jörg
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