matplotlib-devel Mailing List for matplotlib

Anyone know how the default axes rectangle is set?  The default width 
and height are apparently not the same

 >>> from pylab import *
 >>> ax=axes()
 >>> ax.get_position()
[0.125, 0.099999999999999978, 0.77500000000000002, 0.80000000000000004]


I'd like the last two numbers to be identical (say 0.8), that way I can 
be sure that a plot will have a certain aspect ratio if the figure 
dimensions have that aspect ratio.

-Jeff

-- 
Jeffrey S. Whitaker         Phone : (303)497-6313
NOAA/OAR/CDC  R/CDC1        FAX   : (303)497-6449
325 Broadway                Web   : http://www.cdc.noaa.gov/~jsw
Boulder, CO, USA 80305-3328 Office: Skaggs Research Cntr 1D-124

Hi John,

I've been making spacecraft trajectory "Pork Chop Plots", a contour plot 
of a z-value (such amount of fuel required) over a range of Earth 
departure date x-values and Mars arrival date y-values.

Since I needed dates on both x and y axes, it was useful for me to factor 
out the date locator/formatter selection code from plot_date() into two 
Axes methods:  xaxis_date() and yaxis_date().

The plot_date() implementation then becomes just a call to plot() followed 
by a call to xaxis_date().

My current implementation is below.  Is this general-purpose enough for me 
to submit?  If so, I'll make up some diff files and mail them in.

Thanks,

Michael

#===========================================================================
def xaxis_date(self, tz=None):
   """Choose date ticks and labels for the x-axis.

   = INPUT VARIABLES
   - tz         The timezone to use in plotting the dates.
                Defaults to rc value.
   """

   span  = self.dataLim.intervalx().span()
   locator, formatter = self.chooseDateFmt( span, tz )
   self.xaxis.set_major_locator(locator)
   self.xaxis.set_major_formatter(formatter)

#===========================================================================
def yaxis_date(self, tz=None):
   """Choose date ticks and labels for the y-axis.

   = INPUT VARIABLES
   - tz         The timezone to use in plotting the dates.
                Defaults to rc value.
"""

   span  = self.dataLim.intervaly().span()
   locator, formatter = self.chooseDateFmt( span, tz )
   self.yaxis.set_major_locator(locator)
   self.yaxis.set_major_formatter(formatter)

#===========================================================================
def chooseDateFmt(self, span, tz=None):
   """Chooses an appropriate date formatter and tick locator for a span.

   = INPUT VARIABLES
   - span       The span of the plot data.
   - tz         The timezone to use in plotting the dates.
                Defaults to rc value.

   = RETURN VALUE
   - A tuple of ( locator, formatter ) for the input span.
   """

   # The code below was copied from Axes.plot_date().

   if span==0:
      span = SEC_PER_HOUR

   minutes = span*24*60
   hours  = span*24
   days   = span
   weeks  = span/7.
   months = span/31. # approx
   years  = span/365.

   numticks = 5
   if years>numticks:
       locator = YearLocator(int(years/numticks), tz=tz)  # define
       fmt = '%Y'
   elif months>numticks:
       locator = MonthLocator(tz=tz)
       fmt = '%b %Y'
   elif weeks>numticks:
       locator = WeekdayLocator(tz=tz)
       fmt = '%a, %b %d'
   elif days>numticks:
       locator = DayLocator(interval=math.ceil(days/numticks), tz=tz)
       fmt = '%b %d'
   elif hours>numticks:
       locator = HourLocator(interval=math.ceil(hours/numticks), tz=tz)
       fmt = '%H:%M\n%b %d'
   elif minutes>numticks:
       locator = MinuteLocator(interval=math.ceil(minutes/numticks), tz=tz)
       fmt = '%H:%M:%S'
   else:
       locator = MinuteLocator(tz=tz)
       fmt = '%H:%M:%S'

   formatter = DateFormatter(fmt, tz=tz)

   return locator, formatter


========================================================================
  Michael Brady                                      Phone: 818-354-4957
  Jet Propulsion Laboratory (M/S 301-140L)             Fax: 818-393-6388
  4800 Oak Grove Drive
  Pasadena, CA  91109                 E-mail: Mic...@jp...
========================================================================