matplotlib-users Mailing List for matplotlib

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 <Ger...@jp...> 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 layout of the legends box really
    Gerardo> restricts me from displaying the full set of data points
    Gerardo> on one graph.

    Gerardo> Currently the legend layout is displayed as:

    Gerardo> line1_color label1 line2_color label2 line3_color label3
    Gerardo> ...

    Gerardo> we want horizontal layout:

    Gerardo> line1_color label1 line2_color label2 line3_color label3
    Gerardo> ...

    Gerardo> Also placing the horizontal layout below the x-axis title
    Gerardo> would be ideal.

    Gerardo> Is there a way to create the horizontal layout in the
    Gerardo> current version of matplotlib?

No, there isn't, but patches here would be most welcome since this has
come up before....

JDH

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.

Currently the legend layout is displayed as:

line1_color   label1
line2_color   label2
line3_color   label3
...

we want horizontal layout:

line1_color   label1        line2_color   label2        line3_color 
label3 ...

Also placing the horizontal layout below the x-axis title would be ideal.

Is there a way to create the horizontal layout in the current version 
of matplotlib?

I noticed that someone created a column layout in Aug 2006 but 
actually changed the legend code.  If I need to I could look at the 
legend code myself to get the needed results.

I'm using the following:

matplotlib 0.87.5
python 2.3.5, win32
Zope 2.7.8
Plone 2

Thanks for any help
Gerardo Rivera

>>>>> "Scott" == Scott Ransom <sr...@nr...> 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]: '0.87.5'

    Scott> (that is revision 2782 from SVN)

    Scott> Here is some code that shows the problem:

    Scott> ------------------------------ from pylab import *

    Scott> binctrs = linspace(-4.0, 4.0, 15) vals = randn(1000) n1,
    Scott> bins1, p1 = hist(vals, binctrs, align='center') n2, bins2,
    Scott> p2 = hist(vals[:300], binctrs, align='center') setp(p1,
    Scott> 'facecolor', 'k', 'alpha', 0.2) setp(p2, 'facecolor', 'g',
    Scott> 'alpha', 0.9) legend((p1, p2), ("Frobs", "NewFrobs"))
    Scott> show() ------------------------------

The returned patches is a list of patches -- you just need to pick off
a representative one

ax = subplot(111)
binctrs = linspace(-4.0, 4.0, 15)
vals = randn(1000)
n1, bins1, p1 = hist(vals, binctrs, align='center', facecolor='black', alpha=0.2)
n2, bins2, p2 = hist(vals[:300], binctrs, align='center', facecolor='green', alpha=0.9)
legend((p1[0], p2[0]), ("Frobs", "NewFrobs"))
show()

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_locator(days)
ax.xaxis.set_major_formatter(IndexDateFormatter(x, '%Y-%m-%d %H:%M:%S'))
ax.xaxis.set_minor_locator(hours)
ax.xaxis.set_minor_formatter(IndexDateFormatter(x, 'Y-%m-%d %H:%M:%S'))

Thanks to all who have help me with previous issues. :)

On Wed, 2006-09-27 at 09:58 -0400, Richard Albright wrote:
> 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 period during the day i am
> concerned with.  Is there a way to limit the hours plotted on the xaxis
> for each day interval?
> 
> 
> On Tue, 2006-09-26 at 16:47 -0400, Richard Albright wrote:
> > I am trying to figure out how i can use IndexLocator with DateFormatter.
> > Currently i am only using DayLocator and HourLocator in my code, but it
> > is showing ticks for all hours in the plot, when I only care about
> > plotting the hours for when data is available.
> > 
> > I already applied date2num to my dates in the x list below.
> > 
> > 
> > 
> > from matplotlib.dates import IndexDateFormatter, DateFormatter, date2num
> > 
> > import matplotlib
> > 
> > from matplotlib import rc
> > 
> > import datetime
> > from pylab import *
> > 
> > 
> > x = [732559.39583333337, 732559.40625, 732559.41666666663,
> > 732559.42708333337,
> >     732559.4375, 732559.44791666663, 732559.45833333337, 732559.46875, 
> >     732559.47916666663 , 732559.48958333337, 732559.5,
> > 732559.51041666663, 
> >     732559.52083333337, 732559.53125, 732559.54166666663,
> > 732559.55208333337,
> >     732559.5625, 732559.57291666663, 732559.58333333337, 732559.59375, 
> >     732559.60416666663, 732559.61458333337, 732559.625,
> > 732559.63541666663, 
> >     732559.64583333337, 732559.65625, 732559.66666666663,
> > 732560.39583333337, 
> >     732560.40625, 732560.41666666663, 732560.42708333337, 732560.4375, 
> >     732560.44791666663, 732560.45833333337, 732560.46875,
> > 732560.47916666663, 
> >     732560.48958333337, 732560.5, 732560.51041666663,
> > 732560.52083333337, 
> >     732560.53125, 732560.54166666663, 732560.55208333337, 732560.5625, 
> >     732560.57291666663, 732560.58333333337, 732560.59375,
> > 732560.60416666663, 
> >     732560.61458333337, 732560.625, 732560.63541666663,
> > 732560.64583333337, 
> >     732560.65625, 732560.66666666663]
> > y = [13.07, 13.050000000000001, 13.029999999999999, 13.039999999999999, 
> >     13.029999999999999, 13.0, 13.0, 13.0, 13.0, 13.029999999999999,
> > 13.02, 
> >     13.01, 12.99, 12.98, 12.98, 12.960000000000001, 12.94, 12.92, 
> >     12.960000000000001, 12.98, 13.19, 13.140000000000001,
> > 13.130000000000001, 
> >     13.109999999999999, 13.08, 13.109999999999999, 13.039999999999999,
> > 13.15, 
> >     13.130000000000001, 13.15, 13.279999999999999, 13.210000000000001, 
> >     13.199999999999999, 13.199999999999999, 13.19, 13.199999999999999, 
> >     13.140000000000001, 13.119999999999999, 13.1, 13.09,
> > 13.130000000000001, 
> >     13.119999999999999, 13.130000000000001, 13.130000000000001, 
> >     13.140000000000001, 13.15, 13.16, 13.119999999999999,
> > 13.119999999999999, 
> >     13.1, 13.050000000000001, 13.029999999999999, 13.02, 13.0]
> > 
> > datesindex = range(len(x))
> > 
> > days = DayLocator()
> > hours = HourLocator()
> > ax = subplot(111)
> > plot(x, y)
> > 
> > ax.xaxis.set_major_locator(days)
> > ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d %H:%M:%S'))
> > ax.xaxis.set_minor_locator(hours)
> > ax.xaxis.set_minor_formatter(DateFormatter('%H:%M:%S'))
> > setp(ax.get_xticklabels(), 'rotation', 90, 'horizontalalignment',
> > 'center', fontsize=8)
> > minorlabels = [tick.label1 for tick in ax.xaxis.get_minor_ticks()]
> > setp(minorlabels, 'rotation', 90, 'horizontalalignment', 'center',
> > fontsize=8)
> > 
> > grid(True)
> > show()
> > 
> > Any suggestions would be greatly appreciated.
> > 
> -- 
> Rick Albright
> Senior Quantitvative Analyst
> Indie Research, LLC
> 254 Witherspoon Street
> Princeton, NJ 08542
> (609)497-1030
> ral...@in...
> 
> 
> 
> -------------------------------------------------------------------------
> Take Surveys. Earn Cash. Influence the Future of IT
> Join SourceForge.net's Techsay panel and you'll get the chance to share your
> opinions on IT & business topics through brief surveys -- and earn cash
> http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-- 
Rick Albright
Senior Quantitvative Analyst
Indie Research, LLC
254 Witherspoon Street
Princeton, NJ 08542
(609)497-1030
ral...@in...

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 period during the day i am
concerned with.  Is there a way to limit the hours plotted on the xaxis
for each day interval?


On Tue, 2006-09-26 at 16:47 -0400, Richard Albright wrote:
> I am trying to figure out how i can use IndexLocator with DateFormatter.
> Currently i am only using DayLocator and HourLocator in my code, but it
> is showing ticks for all hours in the plot, when I only care about
> plotting the hours for when data is available.
> 
> I already applied date2num to my dates in the x list below.
> 
> 
> 
> from matplotlib.dates import IndexDateFormatter, DateFormatter, date2num
> 
> import matplotlib
> 
> from matplotlib import rc
> 
> import datetime
> from pylab import *
> 
> 
> x = [732559.39583333337, 732559.40625, 732559.41666666663,
> 732559.42708333337,
>     732559.4375, 732559.44791666663, 732559.45833333337, 732559.46875, 
>     732559.47916666663 , 732559.48958333337, 732559.5,
> 732559.51041666663, 
>     732559.52083333337, 732559.53125, 732559.54166666663,
> 732559.55208333337,
>     732559.5625, 732559.57291666663, 732559.58333333337, 732559.59375, 
>     732559.60416666663, 732559.61458333337, 732559.625,
> 732559.63541666663, 
>     732559.64583333337, 732559.65625, 732559.66666666663,
> 732560.39583333337, 
>     732560.40625, 732560.41666666663, 732560.42708333337, 732560.4375, 
>     732560.44791666663, 732560.45833333337, 732560.46875,
> 732560.47916666663, 
>     732560.48958333337, 732560.5, 732560.51041666663,
> 732560.52083333337, 
>     732560.53125, 732560.54166666663, 732560.55208333337, 732560.5625, 
>     732560.57291666663, 732560.58333333337, 732560.59375,
> 732560.60416666663, 
>     732560.61458333337, 732560.625, 732560.63541666663,
> 732560.64583333337, 
>     732560.65625, 732560.66666666663]
> y = [13.07, 13.050000000000001, 13.029999999999999, 13.039999999999999, 
>     13.029999999999999, 13.0, 13.0, 13.0, 13.0, 13.029999999999999,
> 13.02, 
>     13.01, 12.99, 12.98, 12.98, 12.960000000000001, 12.94, 12.92, 
>     12.960000000000001, 12.98, 13.19, 13.140000000000001,
> 13.130000000000001, 
>     13.109999999999999, 13.08, 13.109999999999999, 13.039999999999999,
> 13.15, 
>     13.130000000000001, 13.15, 13.279999999999999, 13.210000000000001, 
>     13.199999999999999, 13.199999999999999, 13.19, 13.199999999999999, 
>     13.140000000000001, 13.119999999999999, 13.1, 13.09,
> 13.130000000000001, 
>     13.119999999999999, 13.130000000000001, 13.130000000000001, 
>     13.140000000000001, 13.15, 13.16, 13.119999999999999,
> 13.119999999999999, 
>     13.1, 13.050000000000001, 13.029999999999999, 13.02, 13.0]
> 
> datesindex = range(len(x))
> 
> days = DayLocator()
> hours = HourLocator()
> ax = subplot(111)
> plot(x, y)
> 
> ax.xaxis.set_major_locator(days)
> ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d %H:%M:%S'))
> ax.xaxis.set_minor_locator(hours)
> ax.xaxis.set_minor_formatter(DateFormatter('%H:%M:%S'))
> setp(ax.get_xticklabels(), 'rotation', 90, 'horizontalalignment',
> 'center', fontsize=8)
> minorlabels = [tick.label1 for tick in ax.xaxis.get_minor_ticks()]
> setp(minorlabels, 'rotation', 90, 'horizontalalignment', 'center',
> fontsize=8)
> 
> grid(True)
> show()
> 
> Any suggestions would be greatly appreciated.
> 
-- 
Rick Albright
Senior Quantitvative Analyst
Indie Research, LLC
254 Witherspoon Street
Princeton, NJ 08542
(609)497-1030
ral...@in...

Hi All,

I think I might have uncovered a bug in the legend code when using
multiple patches so that only the first patch type is used in the
legend.

In [41]: matplotlib.__version__
Out[41]: '0.87.5'

(that is revision 2782 from SVN)

Here is some code that shows the problem:

------------------------------
from pylab import *

binctrs = linspace(-4.0, 4.0, 15)
vals = randn(1000)
n1, bins1, p1 = hist(vals, binctrs, align='center')
n2, bins2, p2 = hist(vals[:300], binctrs, align='center')
setp(p1, 'facecolor', 'k', 'alpha', 0.2)
setp(p2, 'facecolor', 'g', 'alpha', 0.9)
legend((p1, p2), ("Frobs", "NewFrobs"))
show()
------------------------------

Thanks,

Scott

-- 
Scott M. Ransom            Address:  NRAO
Phone:  (434) 296-0320               520 Edgemont Rd.
email:  sr...@nr...             Charlottesville, VA 22903 USA
GPG Fingerprint: 06A9 9553 78BE 16DB 407B  FFCA 9BFA B6FF FFD3 2989