matplotlib-devel Mailing List for matplotlib

John Hunter wrote:

>>>>>>"Jeff" == Jeff Whitaker <js...@fa...> writes:
>>>>>>            
>>>>>>
>
>    Jeff> Anyone know how the default axes rectangle is set?  The
>    Jeff> default width and height are apparently not the same
>
>    >>>> from pylab import * ax=axes() ax.get_position()
>    Jeff> [0.125, 0.099999999999999978, 0.77500000000000002,
>    Jeff> 0.80000000000000004]
>
>
>    Jeff> I'd like the last two numbers to be identical (say 0.8),
>    Jeff> that way I can be sure that a plot will have a certain
>    Jeff> aspect ratio if the figure dimensions have that aspect
>    Jeff> ratio.
>
>If no args are passed to axes, a subplot(111) is created.  If you want
>to control the rectangle, just pass in the l,b,w,h args
>
>  ax = axes([0.1, 0.1, 0.8, 0.8])
>
>If you want to see how the default subplots are created, see
>axes.Subplot and the subplot params
>
>    left  	: 0.125  # the left side of the subplots of the figure
>    right 	: 0.9    # the right side of the subplots of the figure
>    bottom 	: 0.1    # the bottom of the subplots of the figure
>    top 	: 0.9    # the top of the subplots of the figure
>    wspace 	: 0.2    # the amount of width reserved for blank space between subplots
>    hspace 	: 0.2    # the amount of height reserved for white space between subplots        
>
>JDH
>
>PS: thanks for the basemap notes -- I presented them at scipy and
>there appeared to be a fair amount of interest in it.
>  
>
John:  Thanks - I knew about setting the rect manually, but I didn't 
know the defaults were in subplot.params.  I want to override those 
defaults in basemap so that the width and height are both 0.8 (they are 
0.775 and 0.8 now).  That way the map will  have the right aspect ratio 
without the user having to set the axes rect manually.  I've set it up 
so that rcParams['subplot.params.left'] is set to 0.1 when basemap is 
imported (a warning is printed notifying the user that the defaults have 
been changed, and rcdefaults() can be used to get the old ones back).

Thanks a lot for presenting that material at SciPy - I've noticed an 
upswing in downloads since your talk.

-Jeff

-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/CDC  R/CDC1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-124
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

>>>>> "Michael" == Michael Brady <mb...@jp...> writes:

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

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

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

I think this is a good idea.  A few suggestions

matplotlib 0.84 / CVS already has the guts of plot_date factored out
in date_ticker_factory

  locator, formatter = date_ticker_factory(span, tz)

which appears to be the same thing as your chooseDateFmt.  So you'll
want to use that instead.  Note also that matplotlib naming
conventions for functions and methods is lower case and underscore
separated.

I think it would be useful to add the following kwargs to plot_date to
support your funcitonality


    def plot_date(self, d, y, fmt='bo', tz=None, 
                  xdate=True, ydate=False, **kwargs):

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

Yep, with the changes above this would be great.

Thanks!
JDH

>>>>> "Jeff" == Jeff Whitaker <js...@fa...> writes:

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

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


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

If no args are passed to axes, a subplot(111) is created.  If you want
to control the rectangle, just pass in the l,b,w,h args

  ax = axes([0.1, 0.1, 0.8, 0.8])

If you want to see how the default subplots are created, see
axes.Subplot and the subplot params

    left  	: 0.125  # the left side of the subplots of the figure
    right 	: 0.9    # the right side of the subplots of the figure
    bottom 	: 0.1    # the bottom of the subplots of the figure
    top 	: 0.9    # the top of the subplots of the figure
    wspace 	: 0.2    # the amount of width reserved for blank space between subplots
    hspace 	: 0.2    # the amount of height reserved for white space between subplots        

JDH

PS: thanks for the basemap notes -- I presented them at scipy and
there appeared to be a fair amount of interest in it.