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Okay I've learnt a bit more about this: http://img229.imageshack.us/img229/6467/scatterplot5st6.png I need to explicitly make a new figure as well as a new axis, and put the rc calls before the figure calls, rc changes only seem to take effect on figures created afterwards. Also I was stupidly using the plot function (for plotting lines) for a scatter plot, I've now discovered the scatter function. Things are pretty much how I want them now, but I still have a couple of questions: How do I get rid of the redundant ticks on the top and right edges? Is there any way to stop some of my text labels from overlapping? Why is there such a big gap between the plot itself and the axes ticks? The scatter function seems to do this, but I don't see any option to control the size of the gap. I wonder if I've done something weird like create an axes within an axes. I don't mind the gap much, it's just surprising, and could do with being much smaller to make the figure easier to read. Here's my new source code: rc('xtick.major',size=8) rc('xtick',direction='out') rc('ytick.major',size=8) rc('ytick',direction='out') fig = figure(facecolor='white' ) axes(frameon=False) title('Comparison of lower- and upper-bounds per function in week one and week two') l = scatter(functions.lowerboundsweek1,functions.lowerboundsweek2,marker='s',color='g') u = scatter(functions.upperboundsweek1,functions.upperboundsweek2,marker='^',color='b') legend((l,u),('Lower-bounds','Upper-bounds'),'best') plot([0,1],[0,1],color='#999999',linestyle='--') xlabel('Week 1') ylabel('Week 2') xticks(functions.upperboundsweek1+functions.lowerboundsweek1,' '*len(functions.upperboundsweek1+functions.lowerboundsweek1)) yticks(functions.upperboundsweek2+functions.lowerboundsweek2,' '*len(functions.upperboundsweek2+functions.lowerboundsweek2)) for function,x,y in map(None,functions.shortnames,functions.upperboundsweek1,functions.upperboundsweek2): annotate(function,xy=(x,y),size=8,color='b') for function,x,y in map(None,functions.shortnames,functions.lowerboundsweek1,functions.lowerboundsweek2): annotate(function,xy=(x,y),size=8,color='g') On Tue, 2008年02月26日 at 16:51 +0000, chombee wrote: > I'm having a couple of problems drawing a basic relational scatter plot. > (Specifically, it's called a dot-dash-plot in the book I have and is > described as "framing the bivariate scatter with the marginal distribution > of each variable.") The idea is that you have a bivariate scatter plot > and use the two marginal frequency distributions of the data as the two > axes. > > 1. By setting the x and y tick length and using space characters as the > tick labels I was able to get ticks only and no labels on the axes as I > want. But these ticks appear along the top and right edges of the plot, > as well as the left and bottom. Is there any way to get rid of the top > and right ticks? > > 2. I'm getting phantom numbers on my axes, the 0.2, 0.4, 0.6 etc. I > don't know where these are coming from or what they measure (my data > ranges from 0-7 on both axes, not 0-1). > > 3. I want to label each data point with a string. I'm doing this with > annotate but the strings sometimes overlap each other. Any idea how to > avoid this? > > Here's a PNG of my plot as it is: > > http://img137.imageshack.us/img137/4015/scatterplotlk2.png > > And here's the source: > > # datax and datay are equal length lists of floats, the data I want to > # plot. labels is another equal length list containing the strings I > # want to label the data points with. All three lists are in the same > # order. > > axes(frameon=False) > rc('xtick.major',size=8) > rc('xtick',direction='out') > xticks(datax,' '*len(datax)) > rc('ytick.major',size=8) > rc('ytick',direction='out') > yticks(datay,' '*len(datay)) > plot(datax,datay,'r.') > plot([0,7],[0,7]) > xlabel('Proportion of total number of cards, week 1') > ylabel('Proportion of total number of cards, week 2') > title('Frequency of cards per function') > for label,x,y in map(None,labels,datax,datay): > annotate(function,xy=(x,y),size=8) > > Thanks! > > > > ------------------------------------------------------------------------- > This SF.net email is sponsored by: Microsoft > Defy all challenges. Microsoft(R) Visual Studio 2008. > http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Lionel Roubeyrie wrote: > Hi all, > I'm sure it's a trivial question, but can't find any valid answer in the > basemap examples directory or with google : I have a georeferenced TIFF file > in 'lcc' projection, representing a little portion of France, and I need to > put it on a map, resets map limits to a closed portion of the map, and put > contours on it. I see how to initialise Basemap with the limits of the > raster, but not how to "make a zoom" in the map by specifing coordinates. > Thanks for your help > Lionel: You can use the set_xlim and set_ylim axes methods to manually 'zoom' the plot. It has to be done after all the other plotting though, since all the Basemap methods (contour, imshow etc) will reset the axes limits to show the entire map region. -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX : (303)497-6449 NOAA/OAR/PSD R/PSD1 Email : Jef...@no... 325 Broadway Office : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg
I'm having a couple of problems drawing a basic relational scatter plot. (Specifically, it's called a dot-dash-plot in the book I have and is described as "framing the bivariate scatter with the marginal distribution of each variable.") The idea is that you have a bivariate scatter plot and use the two marginal frequency distributions of the data as the two axes. 1. By setting the x and y tick length and using space characters as the tick labels I was able to get ticks only and no labels on the axes as I want. But these ticks appear along the top and right edges of the plot, as well as the left and bottom. Is there any way to get rid of the top and right ticks? 2. I'm getting phantom numbers on my axes, the 0.2, 0.4, 0.6 etc. I don't know where these are coming from or what they measure (my data ranges from 0-7 on both axes, not 0-1). 3. I want to label each data point with a string. I'm doing this with annotate but the strings sometimes overlap each other. Any idea how to avoid this? Here's a PNG of my plot as it is: http://img137.imageshack.us/img137/4015/scatterplotlk2.png And here's the source: # datax and datay are equal length lists of floats, the data I want to # plot. labels is another equal length list containing the strings I # want to label the data points with. All three lists are in the same # order. axes(frameon=False) rc('xtick.major',size=8) rc('xtick',direction='out') xticks(datax,' '*len(datax)) rc('ytick.major',size=8) rc('ytick',direction='out') yticks(datay,' '*len(datay)) plot(datax,datay,'r.') plot([0,7],[0,7]) xlabel('Proportion of total number of cards, week 1') ylabel('Proportion of total number of cards, week 2') title('Frequency of cards per function') for label,x,y in map(None,labels,datax,datay): annotate(function,xy=(x,y),size=8) Thanks!
To me it sounds like the bounding box is miscalculated when the axis are turned off. What you could do as a workaround, is add a fill to the figure that has the exact same size as the axis box. Maybe then, when you turn the axis off it will keep the same size? May be an ugly workaround, but worth a shot. You also don't have to set the backgroundcolor of your plot anymore. Mark On Tue, Feb 26, 2008 at 3:22 PM, Jochen Voss <li...@se...> wrote: > Hi Mark, > > On Tue, Feb 26, 2008 at 11:30:55AM +0100, Mark Bakker wrote: > > As a workaround, can you just turn the axis box and ticks off? > > > > xticks([]) > > yticks([]) > > setp(ax,'frame_on',False) > > > > Or does that give the same problem? > > Unfortunately the problem also occurs when I replace the axis("off") > with the lines suggested by you. The xticks commands work, but the > setp breaks things again: > > with setp (broken output): > > voss@burmah [~/project/kalman/survey/fig2] grep -i BoundingBox out.eps > %%BoundingBox: 1 300 326 417 > %%HiResBoundingBox: 1.923182 300.843797 325.923182 416.043797 > > without setp (output looks ok but has an extra frame): > > voss@burmah [~/project/kalman/survey/fig2] grep -i BoundingBox out.eps > %%BoundingBox: 143 338 468 454 > %%HiResBoundingBox: 143.999991 338.520012 467.999991 453.720012 > > Is there anything else I can try? > > Many thanks, > Jochen > -- > http://seehuhn.de/ > > -----BEGIN PGP SIGNATURE----- > Version: GnuPG v1.4.6 (GNU/Linux) > > iD8DBQFHxCC7f+iD8yEbECURAlbHAKCtb0KbmVSQJV3upSGfwp5ytP4J0gCfRKQm > QvynbyKTxvsKQuAiy5EWyOI= > =Wx7H > -----END PGP SIGNATURE----- > >
Hi all, I'm sure it's a trivial question, but can't find any valid answer in the basemap examples directory or with google : I have a georeferenced TIFF file in 'lcc' projection, representing a little portion of France, and I need to put it on a map, resets map limits to a closed portion of the map, and put contours on it. I see how to initialise Basemap with the limits of the raster, but not how to "make a zoom" in the map by specifing coordinates. Thanks for your help -- Lionel Roubeyrie - lro...@li... Chargé d'études et de maintenance LIMAIR - la Surveillance de l'Air en Limousin http://www.limair.asso.fr
Hi Mark, On Tue, Feb 26, 2008 at 11:30:55AM +0100, Mark Bakker wrote: > As a workaround, can you just turn the axis box and ticks off? > > xticks([]) > yticks([]) > setp(ax,'frame_on',False) > > Or does that give the same problem? Unfortunately the problem also occurs when I replace the axis("off") with the lines suggested by you. The xticks commands work, but the setp breaks things again: with setp (broken output): voss@burmah [~/project/kalman/survey/fig2] grep -i BoundingBox out.eps %%BoundingBox: 1 300 326 417 %%HiResBoundingBox: 1.923182 300.843797 325.923182 416.043797 without setp (output looks ok but has an extra frame): voss@burmah [~/project/kalman/survey/fig2] grep -i BoundingBox out.eps %%BoundingBox: 143 338 468 454 %%HiResBoundingBox: 143.999991 338.520012 467.999991 453.720012 Is there anything else I can try? Many thanks, Jochen -- http://seehuhn.de/
As a workaround, can you just turn the axis box and ticks off? xticks([]) yticks([]) setp(ax,'frame_on',False) Or does that give the same problem?
>Date: 2008年2月22日 08:15:34 -0600 >From: "John Hunter" <jd...@gm...> >Subject: Re: [Matplotlib-users] What is the proper way to set y tick > labels for a histogram ? >To: " Aur? Gourrier " <aur...@ya...> >Cc: mat...@li... >Message-ID: > <88e...@ma...> >Content-Type: text/plain; charset=ISO-8859-1 > >On Fri, Feb 22, 2008 at 7:52 AM, Aur? Gourrier ><aur...@ya...> wrote: > >> Rather trivial... but instead of the plotting the counts n, I'd like to plot >> the realtive percentage counts, i.e. n/len(x). I can't really use the option >> normed = 1 which plots n/(len(x)*dbins). I guess the simplest way would be >> to simply change the yticklabels (by dividing them by len(x)). The thing is >> that I simply cannot find out how to do this... >> >> I tried using the axes.set_yticklabels() but doesn't work. I've also tried >> to find the child containing the label but couldn't find it (not in Axes, >> nor in YAxis etc...). I guess it must be a Text instance. > >You can set your own custom tick formatter: > >import matplotlib.ticker as ticker > >N = len(x) >def fmt_percent(x, pos=None): > return '%1.2f'%(float(x)/N) > >ax.xaxis.set_major_formatter(ticker.FuncFormatter(fmt_percent)). See >http://matplotlib.sourceforge.net/examples/custom_ticker1.py for a >complete example. > >JDH Thanks, that's something I had not looked into yet and will definetly be useful for other pbs I had... Cheers, Aure ______________________________________________________________________________ Yahoo! Mail : un mail innovant avec Messenger compatible Windows Live + stockage illimité. http://mail.yahoo.fr
Yep, that's what I did in the end... it also means that a simple argument could be added to the axes.hist() to do such operation, I described this in a previous post (see below, changes are in major cap). Thanks for the tip, Aure def hist(self, x, bins=10, RELPERCENT = 1, normed=0, bottom=None, align='edge', orientation='vertical', width=None, log=False, **kwargs): """ if not self._hold: self.cla() n, bins = npy.histogram(x, bins, range=None, normed=normed) IF NOT NORMED AND RELPERCENT: N = N/FLOAT(LEN(X)) if width is None: width = 0.9*(bins[1]-bins[0]) if orientation == 'horizontal': patches = self.barh(bins, n, height=width, left=bottom, align=align, log=log) elif orientation == 'vertical': patches = self.bar(bins, n, width=width, bottom=bottom, align=align, log=log) else: raise ValueError, 'invalid orientation: %s' % orientation for p in patches: p.update(kwargs) return n, bins, cbook.silent_list('Patch', patches) ----- Message d'origine ---- De : Bernhard Voigt <ber...@gm...> À : Auré Gourrier <aur...@ya...> Cc : mat...@li... Envoyé le : Dimanche, 24 Février 2008, 19h10mn 47s Objet : Re: [Matplotlib-users] plot a histogram of relative percentage of data Hi! You could also use the bar method and do the histogram with numpy: import numpy as n import pylab as p foo = n.random.normal(size=100) p.hist(foo, 20) p.twinx() counts, bins = n.histogram(foo, 20) counts = counts.astype(float)/len(foo) width = (bins[1]-bins[0]) * .9 p.bar(bins ,counts, width=width, fc='r') Cheers! Bernhard On Fri, Feb 22, 2008 at 4:08 PM, Auré Gourrier <aur...@ya...> wrote: Hi all, In my latest post, I wanted to use the mpl.hist() function in a different way, i.e.: x = datalist bins= 100 hist(x,bins,normed=0) #returns a tupple (n,bins,patches) Instead of ploting the number of counts n, I wanted to plot the relative percentage of counts, i.e. n/len(x). I can't really use the option normed=1 which returns n/(len(x)*dbin). In the axes.py module, this would simply mean adding an argument e.g. relpercent = 1. I added the code line to show how this could be done (in major cap). If this is useful, how could it be modified in the distribution ? def hist(self, x, bins=10, RELPERCENT = 1, normed=0, bottom=None, align='edge', orientation='vertical', width=None, log=False, **kwargs): """ if not self._hold: self.cla() n, bins = npy.histogram(x, bins, range=None, normed=normed) IF NOT NORMED AND RELPERCENT: N = N/FLOAT(LEN(X)) if width is None: width = 0.9*(bins[1]-bins[0]) if orientation == 'horizontal': patches = self.barh(bins, n, height=width, left=bottom, align=align, log=log) elif orientation == 'vertical': patches = self.bar(bins, n, width=width, bottom=bottom, align=align, log=log) else: raise ValueError, 'invalid orientation: %s' % orientation for p in patches: p.update(kwargs) return n, bins, cbook.silent_list('Patch', patches) Ne gardez plus qu'une seule adresse mail ! Copiez vos mails vers Yahoo! Mail ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-users mailing list Mat...@li... https://lists.sourceforge.net/lists/listinfo/matplotlib-users ______________________________________________________________________________ Yahoo! Mail : un mail innovant avec Messenger compatible Windows Live + stockage illimité. http://mail.yahoo.fr
Hi list, I have a set of data with 3 "columns" : x = x coordinate of the point y = y coordinate z = temperature I can't see how to set a different color for each point function of temperature value. I have tried, which draw a colorfull beautiful "map", the color varying with the row rank of x (not what I want) ********** sqla="SELECT x, y, temperature FROM import_parcelle a WHERE dat_loc='" + date_traite + "' AND code_uc='" + code_uc + "' ORDER BY a.dateheure;" resa=db.query(sqla) data=resa.dictresult() x= [float(a["x"]) for a in data] # --> extraction de la colonne x y= [float(a["y"]) for a in data] # --> extraction de la colonne y z= [float(a["temperature"]) for a in data] # --> extraction de la colonne temperature scatter(x, y, c=arange(len(x)), cmap=cm.spring) title("Carte des temperatures(L/min)") xlim(min(x)-10,max(x)+10) ylim(min(y)-10,max(y)+10) ********** What is the good way to do what I reach for ? I have much trouble to know how to define the c parameter of scatter. I saw the "arrange" thing somewhere in internet, but don't understand what it is for. Thanks in advance for your help. Michael