John,
Thanks for the information. I might start looking at the code and
see if I can make any changes. If I'm successful then I'll submit
these as patches.
Gerardo
>
>
>No, there isn't, but patches here would be most welcome since this has
>come up before
>
>JDH
--
> "Gerardo" == Gerardo Rivera <[EMAIL PROTECTED]> writes:
Gerardo> Hi, I'm currently using matplotlib with Plone/Zope to
Gerardo> generate some graphics for temperature, wind speed and
Gerardo> wind direction based on some data from Lake Tahoe.
Gerardo> However, the currently l
Hi,
I'm currently using matplotlib with Plone/Zope to generate some
graphics for temperature, wind speed and wind direction based on some
data from Lake Tahoe. However, the currently layout of the legends
box really restricts me from displaying the full set of data points
on one graph.
Curre
> "Scott" == Scott Ransom <[EMAIL PROTECTED]> writes:
Scott> Hi All, I think I might have uncovered a bug in the legend
Scott> code when using multiple patches so that only the first
Scott> patch type is used in the legend.
Scott> In [41]: matplotlib.__version__ Out[41]: '0.87
Please disregard, i finally solved my problem using IndexLocator:
# datetime variable x is in 15 min intervals, 6 1/2 hours in trading day
# results in 26 data points per day, so:
days = IndexLocator(26, 1)
hours = IndexLocator(4, 1)
ax = subplot(111)
plot(datesindex, y)
ax.xaxis.set_major_locato
I am getting closer to the results I want by modifying my days and hours
locators to read:
days = WeekdayLocator(byweekday=(MO, TU, WE, TH, FR))
hours = HourLocator(byhour=range(9,17,1))
but the xaxis still fills in times for the rest of each day interval,
but now only shows xtick labels for the
