I've been able to figure out how to easily do error bars on a plot_date.
Here is how I do it:
The variables coming in are "dates" which is an array of my dates (in
days since 0001-01-01), averages, p10 (which is the bottom of my
error bars), and p90 (which is the top of my error bars)
plot_date(dates, averages, 'bo')
# Draw the tops of the error bars
ax.vlines(dates,averages,p90)
ax.hlines(p90,dates-.25,dates+.25)
# Draw the bottom part of the error bars
ax.vlines(dates,averages,p10)
ax.hlines(p10,dates-.25,dates+.25)
It's pretty sweet.
I'm having other problems which I will post separately, but this is
working well.
On Dec 3, 2006, at 12:02 PM, Pierre GM wrote:
> On Saturday 02 December 2006 17:39, Simson Garfinkel wrote:
>> Hi. I'm interested in creating a date plot showing bandwidth along a
>> link. I want to have a dot in the center of each date with the
>> average bandwidth and use the error bars to show the 25th and 75th
>> percentiles. I've been trying to figure out how to do this and am
>> having problems.
>
> My 2c:
> Don't bother yet about dates: first get the plot as you want it,
> assuming that
> your x data are floats (use date2num if needed). Then you can
> tackle the
> problem of displaying dates.
>
> If you poke around the sources (axes.py). you'll find that
> 'plot_date' is only
> 'plot', where a couple of extra parameters are set:
> if xdate:
> self.xaxis_date(tz)
> 'xdate' is a flag indicating whether the data on the x axis are
> dates (True)
> or not (False), 'tz' is the timezone flag (default to None), and
> 'self' is
> your current axes object (you can get its handle by gca() if you
> haven't
> specified it otherwise).
>
> Combining these pieces of information should to the trick (or most
> of it).
> Let us know how it goes anyway.
> P.
>
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