Eric, > Regarding your modification of linewidth, do you think this really > needs to be yet another kwarg,
That's what I did (I'm not a Python expert). IMHO, this is more consistent with the existing methods (such as plot() or errorbar() ). > or is it adequate to be able to adjust the linewidth with a line of > user code after calling boxplot? The method returns a dictionary > with the various lists of line objects that have been drawn, so any > properties of those objects can be altered. I didn't think to change properties of returned objects Benoit > > Perhaps a more thorough updating of boxplot would use collections > instead of lists of lines. Any volunteers? I am not going to do > it. This would speed it up for cases with many points, but maybe > boxplot is normally used with few enough points that this doesn't > matter. > > Eric > > Benoit Donnet wrote: >> Guys, >>> Is it possible >>> to increase the linewidth of the box plot (and change the color - >>> i.e., from blue to black)? In the documentation, I don't see any >>> option for boxplot regarding that point (the "widths" option refers >>> to the width of the box, not the line). >> Looking in the matplotlib-devel mailing-list, I found a brand new >> version of the boxplot method (written by Rob Clewley). This >> method allows me to have a monochrome plot. This is quite better. >> I then modified Rob's code for getting linewidth (that's 100% >> hacking - I'm not proud of it). >> Sorry for the disturbance. >> Benoit >>> I agree it is a cosmetic question but I think it would be better >>> in a >>> paper if I can change the linewidth and color. >>> >>> Thanks in advance. >>> >>> Keep on rockin' >>> >>> Benoit >>> >>> Le 03-juil.-07 à 19:52, Jeff Whitaker a écrit : >>> >>>> Benoit Donnet wrote: >>>>> Hey guys, >>>>> >>>>> I'm trying to plot quantiles information (percentile 10, 25, 50, >>>>> 75 and 90). Attached, you'll find a jpged of what I would like to >>>>> do (this was done using Gnuplot): the vertical line delineates the >>>>> range from the 10th to the 90th percentile. Small tick bars to >>>>> either side of the lines mark some additional percentiles: bar to >>>>> the left for the 25th and bar to the right for the 75th. Finally, >>>>> dots mark the median. >>>>> >>>>> I attempted to use matplotlib.finance modules. In particular, the >>>>> candlestick stuffs are quite close to what I want. But it didn't >>>>> work as the X-Axis does not correspond to a date information (X- >>>>> Axis values are within the range [1:1780]). >>>>> >>>>> Have you got an idea on how I can plot that using matplotlib? >>>>> >>>>> Thanks in advance. >>>>> >>>>> Keep on rockin' >>>>> >>>>> Benoit >>>>> >>>> Benoit: This looks very similar to what the boxplot function does >>>> (see http://matplotlib.sourceforge.net/matplotlib.pylab.html#- >>>> boxplot and boxplot_demo.py). If you want to tweak it, the boxplot >>>> function in axes.py might be a good starting point. >>>> >>>> -Jeff >>>> >>>> -- >>>> Jeffrey S. Whitaker Phone : (303)497-6313 >>>> Meteorologist FAX : (303)497-6449 >>>> NOAA/OAR/PSD R/PSD1 Email : [EMAIL PROTECTED] >>>> 325 Broadway Office : Skaggs Research Cntr 1D-124 >>>> Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg >>>> >>> -- >>> Dr. Benoit Donnet >>> Université Catholique de Louvain (UCL) >>> Faculté des Sciences Appliquées - Département d'Ingénierie >>> Informatique (INGI) >>> Place Sainte Barbe, 2 >>> 1348 Louvain-la-Neuve >>> Belgium >>> Phone: +32 10 47 87 18 >>> Home page: http://inl.info.ucl.ac.be/donnet >>> >>> >>> >>> >>> -------------------------------------------------------------------- >>> -- --- >>> This SF.net email is sponsored by DB2 Express >>> Download DB2 Express C - the FREE version of DB2 express and take >>> control of your XML. No limits. Just data. Click to get it now. >>> http://sourceforge.net/powerbar/db2/ >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> -- >> Dr. Benoit Donnet >> Université Catholique de Louvain (UCL) >> Faculté des Sciences Appliquées - Département d'Ingénierie >> Informatique (INGI) >> Place Sainte Barbe, 2 >> 1348 Louvain-la-Neuve >> Belgium >> Phone: +32 10 47 87 18 >> Home page: http://inl.info.ucl.ac.be/donnet >> --------------------------------------------------------------------- >> ---- >> This SF.net email is sponsored by DB2 Express >> Download DB2 Express C - the FREE version of DB2 express and take >> control of your XML. No limits. Just data. Click to get it now. >> http://sourceforge.net/powerbar/db2/ >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Dr. Benoit Donnet Université Catholique de Louvain (UCL) Faculté des Sciences Appliquées - Département d'Ingénierie Informatique (INGI) Place Sainte Barbe, 2 1348 Louvain-la-Neuve Belgium Phone: +32 10 47 87 18 Home page: http://inl.info.ucl.ac.be/donnet ------------------------------------------------------------------------- This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
