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Along the lines of Mike's suggestion, I thought this could be done using Latex. I posted an answer on SO with an example of doing this, but it seems only to work with postscript backend. Other backends override the color with the mpl text color setting. Is there a way to prevent this override? For example don't try to use 'PS' backend, and look at hte figure interactively. It defaults to black. http://stackoverflow.com/a/9185143/717357 -Yann On Tue, Feb 7, 2012 at 4:46 PM, Paul Ivanov <piv...@gm...> wrote: > Benjamin Root, on 2012年02月07日 13:46, wrote: > > Also, how deep should this rabbit hole go? I could imagine one could > want > > this for title() and figtitle(). Maybe it would be best to implement > this > > at the Text() constructor level? > > For this reason, I would discourage even implementing such > functionality in the core of matplotlib. This functionality doesn't strike > me > as something that ought to be available everywhere by default - if someone > needs it, they can implement it as follows: > > ----- > import matplotlib.pyplot as plt > from matplotlib import transforms > > def rainbow_text(x,y,ls,lc,**kw): > """ > Take a list of strings ``ls`` and colors ``lc`` and place them next to > each > other, with text ls[i] being shown in color lc[i]. > > This example shows how to do both vertical and horizontal text, and will > pass all keyword arguments to plt.text, so you can set the font size, > family, etc. > """ > t = plt.gca().transData > fig = plt.gcf() > plt.show() > > #horizontal version > for s,c in zip(ls,lc): > text = plt.text(x,y," "+s+" ",color=c, transform=t, **kw) > text.draw(fig.canvas.get_renderer()) > ex = text.get_window_extent() > t = transforms.offset_copy(text._transform, x=ex.width, > units='dots') > > #vertical version > for s,c in zip(ls,lc): > text = plt.text(x,y," "+s+" ",color=c, transform=t, > rotation=90,va='bottom',ha='center',**kw) > text.draw(fig.canvas.get_renderer()) > ex = text.get_window_extent() > t = transforms.offset_copy(text._transform, y=ex.height, > units='dots') > > > plt.figure() > rainbow_text(0.5,0.5,"all unicorns poop rainbows ! ! !".split(), > ['red', 'orange', 'brown', 'green', 'blue', 'purple', 'black'], > size=40) > > best, > -- > Paul Ivanov > 314 address only used for lists, off-list direct email at: > http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 > > > ------------------------------------------------------------------------------ > Keep Your Developer Skills Current with LearnDevNow! > The most comprehensive online learning library for Microsoft developers > is just 99ドル.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, > Metro Style Apps, more. Free future releases when you subscribe now! > http://p.sf.net/sfu/learndevnow-d2d > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > >
Benjamin Root, on 2012年02月07日 13:46, wrote: > Also, how deep should this rabbit hole go? I could imagine one could want > this for title() and figtitle(). Maybe it would be best to implement this > at the Text() constructor level? For this reason, I would discourage even implementing such functionality in the core of matplotlib. This functionality doesn't strike me as something that ought to be available everywhere by default - if someone needs it, they can implement it as follows: ----- import matplotlib.pyplot as plt from matplotlib import transforms def rainbow_text(x,y,ls,lc,**kw): """ Take a list of strings ``ls`` and colors ``lc`` and place them next to each other, with text ls[i] being shown in color lc[i]. This example shows how to do both vertical and horizontal text, and will pass all keyword arguments to plt.text, so you can set the font size, family, etc. """ t = plt.gca().transData fig = plt.gcf() plt.show() #horizontal version for s,c in zip(ls,lc): text = plt.text(x,y," "+s+" ",color=c, transform=t, **kw) text.draw(fig.canvas.get_renderer()) ex = text.get_window_extent() t = transforms.offset_copy(text._transform, x=ex.width, units='dots') #vertical version for s,c in zip(ls,lc): text = plt.text(x,y," "+s+" ",color=c, transform=t, rotation=90,va='bottom',ha='center',**kw) text.draw(fig.canvas.get_renderer()) ex = text.get_window_extent() t = transforms.offset_copy(text._transform, y=ex.height, units='dots') plt.figure() rainbow_text(0.5,0.5,"all unicorns poop rainbows ! ! !".split(), ['red', 'orange', 'brown', 'green', 'blue', 'purple', 'black'], size=40) best, -- Paul Ivanov 314 address only used for lists, off-list direct email at: http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
On 2/7/12 2:47 PM, Michael Droettboom wrote: > since this would never be full-fledged HTML anyway [1]. Famous last words, right? I'm curious: for the SVG backend, or a possible html5 canvas backend, can we already include html? I don't know, but I'm curious. Jason
In the past, I've thought having some sort of "HTML-lite" subset would be the most powerful here. So one could do: title("This is <b>bold</b>") Strictly speaking, for colors, one would do: title("This is <font color='red'>red</font>") but that's awfully verbose. I wouldn't have a problem fudging the spec and supporting: title("This is <red>red</red>") since this would never be full-fledged HTML anyway [1]. The advantage of this approach over any of the list-based ones is that different properties can be nested, and I think most people understand the basics of HTML/XML tags. And I agree with Benjamin, that this should be at the Text() constructor level so it works everywhere. I envision it being a sort of peer text parser just as the mathtext parser is now -- in fact a lot of the mathtext machinery would be reused. [1] Of course, I've also considered using something like PythonWebKit to render text for us -- the advantage being we'd also get proper bidi and other internationalization features. But (a) WebKit is another honking dependency and (b) I'm not sure the Python bindings are ready for prime time. Mike On 02/07/2012 02:46 PM, Benjamin Root wrote: > > > On Tue, Feb 7, 2012 at 1:15 PM, Gökhan Sever <gok...@gm... > <mailto:gok...@gm...>> wrote: > > I was basing my whitespace split idea on single string assumption > --eg. no list passing. > > I do not have a strong preference on the final argument passing, > as long as it works instead of manually placing the texts on > figure or axis :) > > > > On Tue, Feb 7, 2012 at 11:52 AM, Ryan May <rm...@gm... > <mailto:rm...@gm...>> wrote: > > On Tue, Feb 7, 2012 at 12:49 PM, Gökhan Sever > <gok...@gm... <mailto:gok...@gm...>> wrote: > > This works as well, as long as it functions :) > > > > My idea requires little less typing. But forgot previously, > text string > > should be whitespace split. > > Right, but we shouldn't guess. If we automatically split on > whitespace, this becomes harder: > > plt.ylabel(["The sun is", "yellow"], ['k', 'y']) > > Ryan > > > I think the python mantra of "explicit over implicit" should be > followed here. I don't think we currently allow list of strings, so > there is no risk of breaking existing scripts, I think. We probably > should confirm that just in case. > > Also, how deep should this rabbit hole go? I could imagine one could > want this for title() and figtitle(). Maybe it would be best to > implement this at the Text() constructor level? > > Ben Root > > > > ------------------------------------------------------------------------------ > Keep Your Developer Skills Current with LearnDevNow! > The most comprehensive online learning library for Microsoft developers > is just 99ドル.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, > Metro Style Apps, more. Free future releases when you subscribe now! > http://p.sf.net/sfu/learndevnow-d2d > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
On Tue, Feb 7, 2012 at 12:46 PM, Benjamin Root <ben...@ou...> wrote: > > > On Tue, Feb 7, 2012 at 1:15 PM, Gökhan Sever <gok...@gm...>wrote: > >> I was basing my whitespace split idea on single string assumption --eg. >> no list passing. >> >> I do not have a strong preference on the final argument passing, as long >> as it works instead of manually placing the texts on figure or axis :) >> >> >> >> On Tue, Feb 7, 2012 at 11:52 AM, Ryan May <rm...@gm...> wrote: >> >>> On Tue, Feb 7, 2012 at 12:49 PM, Gökhan Sever <gok...@gm...> >>> wrote: >>> > This works as well, as long as it functions :) >>> > >>> > My idea requires little less typing. But forgot previously, text string >>> > should be whitespace split. >>> >>> Right, but we shouldn't guess. If we automatically split on >>> whitespace, this becomes harder: >>> >>> plt.ylabel(["The sun is", "yellow"], ['k', 'y']) >>> >>> Ryan >>> >>> > I think the python mantra of "explicit over implicit" should be followed > here. I don't think we currently allow list of strings, so there is no > risk of breaking existing scripts, I think. We probably should confirm > that just in case. > > Fair enough. > Also, how deep should this rabbit hole go? I could imagine one could want > this for title() and figtitle(). Maybe it would be best to implement this > at the Text() constructor level? > ylabel text coloring works for me for the time being. However, a general implementation would possibly fulfill other incoming requests. > > Ben Root > > -- Gökhan
Congratulations, Ben! That's an awesome story! I am by no means at the level of competence that Ben (or Ryan May, another matplotlib contributor and meteorology PhD student at OU) but have been able to turn what I've learned from lurking on the MPL listserv (as well as the Numpy/Scipy listservs) into an improved lot in life. By no means is it a permanent job, but based on what I've learned from everyone here, I was able to land what amounts to a Post-Doc position with the National Severe Storms Laboratory, while I work toward finishing my PhD. It's so much so that I spend more of my time actually helping solve other's MPL/Numpy/Scipy problems than I do working on my own stuff! I'll admit there are times where I think to myself I should be more selfish and focus on finishing my degree, but I believe that I owe it to the community to give back, even if it is off-list. My knowledge is a product of your knowledge and thus I believe I'm obligated to share it with those around me who lack it, but desperately need it. I have to admit, when I first came to the world of Python (from Java and C), I was amazed at the tools readily available --- the matplotlib, numpy, and scipys of the community. Specific to MPL, I thought it was the greatest thing ever. I did all of my plotting with it. However, as I got into more advanced Python programming and needed more complex examples, I became frustrated and discouraged that I couldn't do exactly what I wanted. So much so, that I temporarily switched to R and the use of the ggplot2 package. However, as I continued to advance I learned the beauty of matplotlib and realized just how powerful it actually was. I began to see how to do all the things I couldn't do before. It's powerful enough that I'm forcing those around me to switch to Python and MPL, not because I'm telling them they have to, but because they see what I'm doing with it and realize that in order to keep up, they need to make the switch. As I continue to mature as a Python person, I want to give back explicitly to the community that's given so much to me. The problem is, I don't know how. I'm intimidated by the awesomeness of what I see being done around me that I don't even know where to begin. How does one even begin to learn how to understand the deep intricacies of MPL, Numpy, and Scipy so that I'd begin to develop a comfort level that would allow me to begin to actively contribute? I know pretty much everyone on these listservs, including myself, is busy. (I'm in the midst of a 30-day PhD General Exam, and probably shouldn't even be reading the listservs and/or typing this email! *wink*) But if there are those out there that are willing to take a little time and invest in me, and I'm sure there are others like me, I'd gladly become an active contributor instead of a lurker. Anyways, I know this email is a tad on the long side, and a little off the original topic, so if you're still reading, thanks! This is something that's been weighing on me for a few months now, and I thought Ben's exultation of the benefits of the community might be a good time to open up. Cheers, Patrick --- Patrick Marsh Ph.D. Student / Liaison to the HWT School of Meteorology / University of Oklahoma Cooperative Institute for Mesoscale Meteorological Studies National Severe Storms Laboratory http://www.patricktmarsh.com On Tue, Feb 7, 2012 at 11:19 AM, Fernando Perez <fpe...@gm...> wrote: > On Tue, Feb 7, 2012 at 9:02 AM, Ethan Gutmann <eth...@gm...> wrote: >> >> Also, congrats Ben, both on finishing the PhD and on the job. If you ever find yourself in Boulder, CO (I'm at NCAR), let me know and I'll buy you a drink. > > Indeed, congrats to Ben! And I'm very glad to see your many > contributions to the project finding acknowledgment and long-term > benefits for you. > > BTW Ethan, it's been a few years since the last time that John Hunter > and I lectured at NCAR (Dec. 2007), but in early April Min > Ragan-Kelley and I will be teaching at a workshop at CU, focusing on > data analysis with the 'scipy stack' and ipython's parallel machinery. > This will be in the context of a genomics workshop on campus, but if > you are interested we might be able to meet up with some of the python > crowd at NCAR... > > Just let me know if you are interested; best to write to > fer...@be..., as I sometimes stop monitoring mailing > lists if I get swamped. > > Cheers, > > f > > ------------------------------------------------------------------------------ > Keep Your Developer Skills Current with LearnDevNow! > The most comprehensive online learning library for Microsoft developers > is just 99ドル.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, > Metro Style Apps, more. Free future releases when you subscribe now! > http://p.sf.net/sfu/learndevnow-d2d > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
On Tue, Feb 7, 2012 at 1:15 PM, Gökhan Sever <gok...@gm...> wrote: > I was basing my whitespace split idea on single string assumption --eg. no > list passing. > > I do not have a strong preference on the final argument passing, as long > as it works instead of manually placing the texts on figure or axis :) > > > > On Tue, Feb 7, 2012 at 11:52 AM, Ryan May <rm...@gm...> wrote: > >> On Tue, Feb 7, 2012 at 12:49 PM, Gökhan Sever <gok...@gm...> >> wrote: >> > This works as well, as long as it functions :) >> > >> > My idea requires little less typing. But forgot previously, text string >> > should be whitespace split. >> >> Right, but we shouldn't guess. If we automatically split on >> whitespace, this becomes harder: >> >> plt.ylabel(["The sun is", "yellow"], ['k', 'y']) >> >> Ryan >> >> I think the python mantra of "explicit over implicit" should be followed here. I don't think we currently allow list of strings, so there is no risk of breaking existing scripts, I think. We probably should confirm that just in case. Also, how deep should this rabbit hole go? I could imagine one could want this for title() and figtitle(). Maybe it would be best to implement this at the Text() constructor level? Ben Root
On Tue, Feb 7, 2012 at 1:01 PM, Martin Mokrejs <mmo...@fo...>wrote: > Hi, > I would like to create a bar chart like the attached example but with the > addition > that each bar would have a different color. I tried to learn this from the > examples > on matplotlib web but still do not see a close example for that. ;-) > many thanks, > Martin > > Here's an example that does what you want (I think). There may be a better way of setting the colors of the bars, but I don't use bar plots very often. Hope that helps, -Tony import numpy as np import matplotlib.pyplot as plt colorcycle = ['red', 'steelblue', 'gold', 'darkorchid', 'yellowgreen', 'darkorange', 'silver', 'darkturquoise', 'hotpink', 'mediumblue'] yy = np.random.uniform(5, 200, size=10).astype(int) xx = range(len(yy)) width = 0.5 bars = plt.bar(xx, yy, width=width) # add bar labels for x, y in zip(xx, yy): plt.text(x + 0.5*width, y, str(y), ha='center', va='bottom') # change color of bars for b, c in zip(bars, colorcycle): b.set_color(c) plt.show()
I was basing my whitespace split idea on single string assumption --eg. no list passing. I do not have a strong preference on the final argument passing, as long as it works instead of manually placing the texts on figure or axis :) On Tue, Feb 7, 2012 at 11:52 AM, Ryan May <rm...@gm...> wrote: > On Tue, Feb 7, 2012 at 12:49 PM, Gökhan Sever <gok...@gm...> > wrote: > > This works as well, as long as it functions :) > > > > My idea requires little less typing. But forgot previously, text string > > should be whitespace split. > > Right, but we shouldn't guess. If we automatically split on > whitespace, this becomes harder: > > plt.ylabel(["The sun is", "yellow"], ['k', 'y']) > > Ryan > > -- > Ryan May > Graduate Research Assistant > School of Meteorology > University of Oklahoma > -- Gökhan
On Tue, Feb 7, 2012 at 12:49 PM, Gökhan Sever <gok...@gm...> wrote: > This works as well, as long as it functions :) > > My idea requires little less typing. But forgot previously, text string > should be whitespace split. Right, but we shouldn't guess. If we automatically split on whitespace, this becomes harder: plt.ylabel(["The sun is", "yellow"], ['k', 'y']) Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma
This works as well, as long as it functions :) My idea requires little less typing. But forgot previously, text string should be whitespace split. On Tue, Feb 7, 2012 at 11:43 AM, Benjamin Root <ben...@ou...> wrote: > > > On Tue, Feb 7, 2012 at 12:38 PM, Gökhan Sever <gok...@gm...>wrote: > >> Posted at https://github.com/matplotlib/matplotlib/issues/697 >> >> I think a syntax like: >> >> plt.ylabel("Sun is shining.", color='rgb') >> >> would be a good start. (Assuming len of string == len of colors) >> >> > Don't know if I like that. It becomes even more difficult to convert the > color spec into rgb. How about this? > > plt.ylabel(['Sun", "is", "shining"], color=['r', 'g', 'b']) > > By having the input label be an array, that would force ylabel to > recognize that the color sequence should also be treated similarly. > > Ben Root > > -- Gökhan
On Tue, Feb 7, 2012 at 12:38 PM, Gökhan Sever <gok...@gm...> wrote: > Posted at https://github.com/matplotlib/matplotlib/issues/697 > > I think a syntax like: > > plt.ylabel("Sun is shining.", color='rgb') > > would be a good start. (Assuming len of string == len of colors) > > Don't know if I like that. It becomes even more difficult to convert the color spec into rgb. How about this? plt.ylabel(['Sun", "is", "shining"], color=['r', 'g', 'b']) By having the input label be an array, that would force ylabel to recognize that the color sequence should also be treated similarly. Ben Root
Posted at https://github.com/matplotlib/matplotlib/issues/697 I think a syntax like: plt.ylabel("Sun is shining.", color='rgb') would be a good start. (Assuming len of string == len of colors) On Tue, Feb 7, 2012 at 11:18 AM, Michael Droettboom <md...@st...> wrote: > Nope. But it's something I've wanted to add for a while. Can you file > an Issue in the github tracker? > > Mike > > > On 02/07/2012 11:40 AM, Gökhan Sever wrote: > > Is there a way in matplotlib to partially specify the color of a string? > > Example: > > plt.ylabel("Today is cloudy.") > How can I show "today" as red, "is" as green and "cloudy." as blue? > > Thanks. > > PS: Asked also on > http://stackoverflow.com/questions/9169052/partial-coloring-of-text-in-matplotlib > > -- > Gökhan > > > ------------------------------------------------------------------------------ > Keep Your Developer Skills Current with LearnDevNow! > The most comprehensive online learning library for Microsoft developers > is just 99ドル.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, > Metro Style Apps, more. Free future releases when you subscribe now!http://p.sf.net/sfu/learndevnow-d2d > > > > _______________________________________________ > Matplotlib-users mailing lis...@li...https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > ------------------------------------------------------------------------------ > Keep Your Developer Skills Current with LearnDevNow! > The most comprehensive online learning library for Microsoft developers > is just 99ドル.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, > Metro Style Apps, more. Free future releases when you subscribe now! > http://p.sf.net/sfu/learndevnow-d2d > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- Gökhan
On Tue, Feb 7, 2012 at 12:30 PM, Mark Janikas <mja...@es...> wrote: > I downloaded DejaVu Sans and pointed to that ttf file, and no love L... > Again, the default font seems to work for English, French, German, Spanish, > Italian other Euros etal... but Chinese and Arabic either come out blank > (default font, DejaVu Sans) or choke on the glyphs (MS Unicode). **** > > ** ** > > MJ**** > > ** > Just a quick sanity check, does everything work properly if you render to the screen or to a PNG file? What about EPS? Ben Root
I downloaded DejaVu Sans and pointed to that ttf file, and no love :(... Again, the default font seems to work for English, French, German, Spanish, Italian other Euros etal... but Chinese and Arabic either come out blank (default font, DejaVu Sans) or choke on the glyphs (MS Unicode). MJ From: Michael Droettboom [mailto:md...@st...] Sent: Tuesday, February 07, 2012 6:56 AM To: mat...@li... Subject: Re: [Matplotlib-users] rendering unicode using the PDF backend It looks like perhaps we'll need to "synthesize" glyph names if they aren't provided in the font (though it's not clear to me why they are not). This will be difficult to test for, as that's a proprietary font. Have you tried using another Unicode font, such as DejaVu Sans? Mike On 02/06/2012 06:53 PM, Mark Janikas wrote: Hi All, I am having trouble rendering my Unicode strings in matplotlib using the PDF backend. When I use certain fonts (like the Win 7 default), I get no complaints but the characters are not rendered.... When I use a font like Arial Unicode MS, that I know contains all the chars, then I get the error message below. I did in fact, find a tty file that would work with Chinese ("Microsoft YaHei"), but I would like to avoid trying to map font files to languages. Any info on this subject would be greatly appreciated. Here is a snippet that reproduces the error below... if you remove the fontproperties option to the PYLAB.xlabel() call then the error is avoided but the result is not rendered. Thanks so much! MJ import matplotlib.pyplot as PLT import pylab as PYLAB from matplotlib.backends.backend_pdf import PdfPages as PDF import matplotlib.font_manager as fm fontFile = r'C:\Windows\Fonts\ARIALUNI.TTF' fp1 = fm.FontProperties(fname=fontFile) reportFile = r'C:\Temp\TestUnicode.pdf' pdfOutput = PDF(reportFile) vals = range(100) PLT.plot(vals, vals, color = "r", linestyle = "-") mess = u'\u6B63\u5728\u8BFB\u53D6\u6570\u636E...' PYLAB.xlabel(mess, fontproperties = fp1) PLT.savefig(pdfOutput, format='pdf') PLT.close() pdfOutput.close() Traceback (most recent call last): File "C:\Data\CRs10円.1\MemLeak\matplotlib\Scripts\matplotlib_unicode.py", line 27, in <module> PLT.savefig(pdfOutput, format='pdf') File "C:\Python27\lib\site-packages\matplotlib\pyplot.py", line 472, in savefig return fig.savefig(*args, **kwargs) File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 1173, in savefig self.canvas.print_figure(*args, **kwargs) File "C:\Python27\lib\site-packages\matplotlib\backend_bases.py", line 2027, in print_figure **kwargs) File "C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py", line 2181, in print_pdf self.figure.draw(renderer) File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper draw(artist, renderer, *args, **kwargs) File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 886, in draw func(*args) File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper draw(artist, renderer, *args, **kwargs) File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 1983, in draw a.draw(renderer) File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper draw(artist, renderer, *args, **kwargs) File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 1054, in draw self.label.draw(renderer) File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, in draw_wrapper draw(artist, renderer, *args, **kwargs) File "C:\Python27\lib\site-packages\matplotlib\text.py", line 587, in draw ismath=ismath) File "C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py", line 1784, in draw_text return draw_text_woven(chunks) File "C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py", line 1754, in draw_text_woven glyph_name = font.get_glyph_name(gind) RuntimeError: Face has no glyph names PS. I cannot use a different backend. ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just 99ドル.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Matplotlib-users mailing list Mat...@li...<mailto:Mat...@li...> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Nope. But it's something I've wanted to add for a while. Can you file an Issue in the github tracker? Mike On 02/07/2012 11:40 AM, Gökhan Sever wrote: > Is there a way in matplotlib to partially specify the color of a string? > > Example: > > plt.ylabel("Today is cloudy.") > How can I show "today" as red, "is" as green and "cloudy." as blue? > > Thanks. > > PS: Asked also on > http://stackoverflow.com/questions/9169052/partial-coloring-of-text-in-matplotlib > > -- > Gökhan > > > ------------------------------------------------------------------------------ > Keep Your Developer Skills Current with LearnDevNow! > The most comprehensive online learning library for Microsoft developers > is just 99ドル.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, > Metro Style Apps, more. Free future releases when you subscribe now! > http://p.sf.net/sfu/learndevnow-d2d > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Hi, I would like to create a bar chart like the attached example but with the addition that each bar would have a different color. I tried to learn this from the examples on matplotlib web but still do not see a close example for that. ;-) many thanks, Martin
On Tue, Feb 7, 2012 at 9:02 AM, Ethan Gutmann <eth...@gm...> wrote: > > Also, congrats Ben, both on finishing the PhD and on the job. If you ever find yourself in Boulder, CO (I'm at NCAR), let me know and I'll buy you a drink. Indeed, congrats to Ben! And I'm very glad to see your many contributions to the project finding acknowledgment and long-term benefits for you. BTW Ethan, it's been a few years since the last time that John Hunter and I lectured at NCAR (Dec. 2007), but in early April Min Ragan-Kelley and I will be teaching at a workshop at CU, focusing on data analysis with the 'scipy stack' and ipython's parallel machinery. This will be in the context of a genomics workshop on campus, but if you are interested we might be able to meet up with some of the python crowd at NCAR... Just let me know if you are interested; best to write to fer...@be..., as I sometimes stop monitoring mailing lists if I get swamped. Cheers, f
C M, on 2012年02月06日 09:33, wrote: > On Mon, Feb 6, 2012 at 9:23 AM, David Craig <dcd...@gm...> wrote: > > > Hi, I have a plot and the xaxis shows number of seconds after a start > > point. I would like to convert them to days anyone know how to do this. > > I have looked at the documentation but cant find what I need. > > Couldn't you divide your data points by the conversion (86400) before > plotting? E.g., 432,000 seconds then becomes 5 days. Another way to do this is to change the Formatter which generates what the labels of each tick out to be to do this computation. Take a look at this example: http://matplotlib.sourceforge.net/examples/api/date_index_formatter.html Just define something like: def your_function(x,pos=None): return "%d days" % (x/86400) ax.xaxis.set_major_formatter(ticker.FuncFormatter(your_function)) best, -- Paul Ivanov 314 address only used for lists, off-list direct email at: http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
On Feb 7, 2012, at 1:42 AM, Friedrich Romstedt wrote: > I'd like to thank John and Ben for this inspiring posts, which showed > them from a side I've never seen so far. Show your hands if you're > thinking the same. I hope I didn't bore you all :-) Well said Friedrich, though I'm a relative newcomer to python/matplotlib, I've been on the peripheral of a lot of open source, and I've enjoyed this thread. Also, congrats Ben, both on finishing the PhD and on the job. If you ever find yourself in Boulder, CO (I'm at NCAR), let me know and I'll buy you a drink. ethan
Hi Phil, phils, on 2012年02月04日 07:41, wrote: > Newbie to using matplotlib welcome to the party :) > Is it possible to use wx and have a window with say 2 buttons on where when > clicking on either button a different graph will appear using a different > data set. Any examples? Yes, it's possible. Here's a modified version of examples/event_handling/keypress_demo.py which toggles between two different axes when you press the 'w' key on your keyboard: one has green points connected by dashed lines, the other with multi-colored multi-sized scatter data. -------- import numpy as np import matplotlib.pyplot as plt plt.close('all') def press(event): print('press', event.key) if event.key=='w': visible = ax.get_visible() ax.set_visible(not visible) ax2.set_visible(visible) fig.canvas.draw() fig = plt.figure() ax = fig.add_axes([.1,.1,.8,.8], label='one') ax2 = fig.add_axes([.1,.1,.8,.8], label='two') ax2.set_visible(False) fig.canvas.mpl_connect('key_press_event', press) ax.plot(np.random.rand(12), np.random.rand(12), 'go--') ax2.scatter(100*np.random.rand(12), 100*np.random.rand(12), c=np.random.rand(12), s=np.random.rand(12)*100) plt.show() -------- I don't want to take away all of your fun, so have a look at adding (mouse clickable) buttons to this using either examples/widgets/buttons.py or examples/widgets/radio_buttons.py - depending on your preference. best, -- Paul Ivanov 314 address only used for lists, off-list direct email at: http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
On 02/07/2012 10:48 AM, Benjamin Root wrote: > > > On Tue, Feb 7, 2012 at 8:33 AM, Fabien Lafont <laf...@gm... > <mailto:laf...@gm...>> wrote: > > Is it possible to set the extension .pdf as defaut when I save an > image using the matplotlib bar. My coworkers are always saving the > image in png and it's really ugly! > > Thx, > > Fab > > > Interesting request. Looking through the backends, it appears that > only the Cairo backend currently supports a configurable rcParam for > the default filetype ('cairo.format'). All backends implement a > "get_default_filetype()" method for their canvases, but most of them > have that default hard-coded as "png". This really only makes sense > for backends like agg, pdf, ps and such. > > Devs - Maybe we should consider fixing this for the non-fileformat > specific backends? Do we want an rcParam for each backend? Or a > single rcParam for default filetypes and deprecate 'cairo.format'? I would definitely lean toward the latter -- unify it under a single rcParam. Mike
Is there a way in matplotlib to partially specify the color of a string? Example: plt.ylabel("Today is cloudy.") How can I show "today" as red, "is" as green and "cloudy." as blue? Thanks. PS: Asked also on http://stackoverflow.com/questions/9169052/partial-coloring-of-text-in-matplotlib -- Gökhan
On Tue, Feb 7, 2012 at 8:33 AM, Fabien Lafont <laf...@gm...>wrote: > Is it possible to set the extension .pdf as defaut when I save an > image using the matplotlib bar. My coworkers are always saving the > image in png and it's really ugly! > > Thx, > > Fab > > Interesting request. Looking through the backends, it appears that only the Cairo backend currently supports a configurable rcParam for the default filetype ('cairo.format'). All backends implement a "get_default_filetype()" method for their canvases, but most of them have that default hard-coded as "png". This really only makes sense for backends like agg, pdf, ps and such. Devs - Maybe we should consider fixing this for the non-fileformat specific backends? Do we want an rcParam for each backend? Or a single rcParam for default filetypes and deprecate 'cairo.format'? Cheers! Ben Root
It looks like perhaps we'll need to "synthesize" glyph names if they aren't provided in the font (though it's not clear to me why they are not). This will be difficult to test for, as that's a proprietary font. Have you tried using another Unicode font, such as DejaVu Sans? Mike On 02/06/2012 06:53 PM, Mark Janikas wrote: > > Hi All, > > I am having trouble rendering my Unicode strings in matplotlib using > the PDF backend. When I use certain fonts (like the Win 7 default), > I get no complaints but the characters are not rendered.... When I use > a font like Arial Unicode MS, that I know contains all the chars, then > I get the error message below. I did in fact, find a tty file that > would work with Chinese ("Microsoft YaHei"), but I would like to avoid > trying to map font files to languages. Any info on this subject would > be greatly appreciated. Here is a snippet that reproduces the error > below... if you remove the fontproperties option to the PYLAB.xlabel() > call then the error is avoided but the result is not rendered. Thanks > so much! > > MJ > > import matplotlib.pyplot as PLT > > import pylab as PYLAB > > from matplotlib.backends.backend_pdf import PdfPages as PDF > > import matplotlib.font_manager as fm > > fontFile = r'C:\Windows\Fonts\ARIALUNI.TTF' > > fp1 = fm.FontProperties(fname=fontFile) > > reportFile = r'C:\Temp\TestUnicode.pdf' > > pdfOutput = PDF(reportFile) > > vals = range(100) > > PLT.plot(vals, vals, color = "r", linestyle = "-") > > mess = u'\u6B63\u5728\u8BFB\u53D6\u6570\u636E...' > > PYLAB.xlabel(mess, fontproperties = fp1) > > PLT.savefig(pdfOutput, format='pdf') > > PLT.close() > > pdfOutput.close() > > Traceback (most recent call last): > > File > "C:\Data\CRs10円.1\MemLeak\matplotlib\Scripts\matplotlib_unicode.py", > line 27, in <module> > > PLT.savefig(pdfOutput, format='pdf') > > File "C:\Python27\lib\site-packages\matplotlib\pyplot.py", line 472, > in savefig > > return fig.savefig(*args, **kwargs) > > File "C:\Python27\lib\site-packages\matplotlib\figure.py", line > 1173, in savefig > > self.canvas.print_figure(*args, **kwargs) > > File "C:\Python27\lib\site-packages\matplotlib\backend_bases.py", > line 2027, in print_figure > > **kwargs) > > File > "C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py", > line 2181, in print_pdf > > self.figure.draw(renderer) > > File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, > in draw_wrapper > > draw(artist, renderer, *args, **kwargs) > > File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 886, > in draw > > func(*args) > > File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, > in draw_wrapper > > draw(artist, renderer, *args, **kwargs) > > File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 1983, > in draw > > a.draw(renderer) > > File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, > in draw_wrapper > > draw(artist, renderer, *args, **kwargs) > > File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 1054, > in draw > > self.label.draw(renderer) > > File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55, > in draw_wrapper > > draw(artist, renderer, *args, **kwargs) > > File "C:\Python27\lib\site-packages\matplotlib\text.py", line 587, > in draw > > ismath=ismath) > > File > "C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py", > line 1784, in draw_text > > return draw_text_woven(chunks) > > File > "C:\Python27\lib\site-packages\matplotlib\backends\backend_pdf.py", > line 1754, in draw_text_woven > > glyph_name = font.get_glyph_name(gind) > > RuntimeError: Face has no glyph names > > PS. I cannot use a different backend. > > > > ------------------------------------------------------------------------------ > Try before you buy = See our experts in action! > The most comprehensive online learning library for Microsoft developers > is just 99ドル.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, > Metro Style Apps, more. Free future releases when you subscribe now! > http://p.sf.net/sfu/learndevnow-dev2 > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users