Sorry, I didn't read carefully; you do seem to know about the
timeseries code. I'm assuming that the xmax is the midpoint of the
rightmost bin + half the bin width; are you doing something else?
It's hard to guess at what's going wrong if you don't post code.
FWIW, I'd prefer that "plot_histogram" were a global, along the lines of
def plot_histogram(x, *args, **kwargs):
return TimeSeries(x).plot_histogram(*args,**kwargs)
so I'm happy to see somebody working on this.
On Wed, Jul 13, 2011 at 3:29 PM, David Monarres <dmmonar...@gmail.com> wrote:
> Hello all,
> Today I was working on a top-level histogram plotting function by exposing
> matplotlib's hist as a Graphics object and I ran into something that has
> stumped me. This is not surprising since I know very little about matplotlib
> and am not all that experienced with programming in general. I mainly wanted
> a nice simple histogram function that worked a lot like the current plot and
> plot3D. I got a working prototype done in a couple of hours but the code I
> had to resort to a bit of a kludge to get a piece to work the way that I
> wanted. I basically am mirroring how the scatter_plot.py works.
>
> My problem is how to establish the axis information (in
> self.get_minmax_data()) before I have computed the histogram. The 'xmin' and
> 'xmax' are functions of the data but the frequencies are a function of the
> bins computed by hist. I have solved this for now by running the histogram
> code twice, once when initializing the class and once when creating the
> matplotlib subplot. This seems like a waste. Does anybody have an idea of
> how to work around this or another part of Sage where this problem has been
> solved.
>
> I have also tried to use matplotlib 'patches' which outputted by the hist
> function and add them one by one to the the subplot in _render_on_subplot(),
> but the result was shifted in a funny way and I was worried that I may be
> losing some of the generality provided by using the subplot's hist method
> for the graphics generation.
> I will post the patches to Sage if anybody is interested in their inclusion.
> Though I think that most people are happy working directly with matplotlib
> or finance.timeseries to really be interested.
> Thank you for your help.
> David Monarres
>
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