Re: [Matplotlib-users] Partial coloring of text in matplotlib
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 pivanov...@gmail.com wrote: Benjamin Root, on 2012-02-07 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 $99.99! 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 Matplotlib-users@lists.sourceforge.net 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 $99.99! 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Strange default choice of ylabel ticks
Hi Per,
I think you want to use the 'ticklabel_format' method:
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.ticklabel_format
Here's your example modified some. 'some_point2A.pdf' produces exactly the
same as the default. 'some_point2B.pdf' does not use an offset, and maybe
produces more of what you were looking for.
import pylab as pl
some_points = [0.94589396231920286, 0.94593953605915637,
0.94601787712257401, 0.94597530431819743, 0.9459922123931529,
0.94622433138703055]
pl.plot(some_points, '.-')
pl.ticklabel_format(style='plain',useOffset=0.9458,axis='y')
pl.savefig('some_point2A.pdf')
pl.ticklabel_format(style='plain',useOffset=False,axis='y')
pl.savefig('some_point2B.pdf')
-Yann
On Wed, Jan 18, 2012 at 4:15 AM, Per Nielsen evil...@gmail.com wrote:
Hi all
I get a rather strange scaling / choice of y-axis ticks for the following
script:
import pylab as pl
some_points = [0.94589396231920286, 0.94593953605915637,
0.94601787712257401, 0.94597530431819743, 0.9459922123931529,
0.94622433138703055]
pl.plot(some_points, '.-')
pl.savefig('some_point2.pdf')
output here:
http://dl.dropbox.com/u/2244215/some_point2.pdf
This is a rather simple plot, but matplotlib choses a strange scaling of
the y-axis by default. How do I get a more standard scaling without
specifying the yticks manually?
Best
Per
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[Matplotlib-users] How do you change the position of an annotation?
I'm trying to update the position of an annotation. If I add an annotation, change it's position using set_position, I find the value of the position (found using get_position) is updated, but the actual position on the figure does not change. How can I actually change the position of the text and starting point of the corresponding arrow? Here's an example: import matplotlib.pyplot as plt data = [10, 8, 8, 5] fig = plt.figure() ax = fig.add_subplot(111) ax.bar(range(len(data)),data) ax.set_ylim(0,max(data)+2) annotationPos1 = ax.annotate(Really long and large label,fontsize=12, xy=(1.4,8), xytext=(1.4,8.5), arrowprops=dict(arrowstyle=-) ) annotationPos2 = ax.annotate(Really long and large label,fontsize=12, xy=(1.4,8), xytext=(1.4,10.5), arrowprops=dict(arrowstyle=-) ) apos1before = annotationPos1.get_position() annotationPos1.set_position((apos1before[0],apos1before[1]+2)) apos1after = annotationPos1.get_position() apos2 = annotationPos2.get_position() print apos1before,apos1after,apos2 plt.show() Thanks, Yann -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] small bug in Axes.add_artist method
Hi, I found a small bug in matplotlib.axes.Axes.add_artist method. matplotlib.artist.Artist.set_axes method is called twice. def add_artist(self, a): ''' Add any :class:`~matplotlib.artist.Artist` to the axes. Returns the artist. ''' * a.set_axes(self) * self.artists.append(a) self._set_artist_props(a) a.set_clip_path(self.patch) a._remove_method = lambda h: self.artists.remove(h) return a def _set_artist_props(self, a): 'set the boilerplate props for artists added to axes' a.set_figure(self.figure) if not a.is_transform_set(): a.set_transform(self.transData) * a.set_axes(self) * matplotlib version: 0.99.1.1 Regards, Yann -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Text backgroundcolor and edgecolor
Hi, I found strange behavior in matplotlib.text.Text. set_backgroundcolor(self, color) allows to init text background and edge colors but we can only alter backgroundcolor. # line 728 def set_backgroundcolor(self, color): Set the background color of the text by updating the bbox. .. seealso:: :meth:`set_bbox` To change the position of the bounding box. ACCEPTS: any matplotlib color if self._bbox is None: self._bbox = dict(facecolor=color, edgecolor=color) else: self._bbox.update(dict(facecolor=color)) I think the last line might be like : self._bbox.update(dict(facecolor=color, edgecolor=color)) I notice it because I use a dark background for axis and texts but I replace it by a white one when I print figure. With current code, it remains a dark border arround my texts. Regards, Yann -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] hatch does not work with zoom
Hi, I notice hatch is not drawn correctly when I zoom in axes. #!/usr/bin/env python import matplotlib.pyplot as plt from matplotlib.patches import Rectangle axes = plt.subplot(111) axes.add_patch(Rectangle((0, 0), 1, 1, fill=False, hatch=/)) plt.show() Is there a way to fix it ? Regards, Yann -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] hatch does not work with zoom
I applied the patch to the tarball and built. It works perfectly. Your responsiveness is very impressive. Thanks, Yann On 10/09/2009 05:27 PM, Michael Droettboom wrote: Thanks. This is definitely a bug. I just fixed it in SVN r7858. http://matplotlib.svn.sourceforge.net/viewvc/matplotlib?view=revrevision=7858 Unfortunately, this requires a recompile. You can build from SVN, or download the 0.99.1 tarball and manually apply the above patch. Mike Yann Goudard wrote: Hi, I notice hatch is not drawn correctly when I zoom in axes. #!/usr/bin/env python import matplotlib.pyplot as plt from matplotlib.patches import Rectangle axes = plt.subplot(111) axes.add_patch(Rectangle((0, 0), 1, 1, fill=False, hatch=/)) plt.show() Is there a way to fix it ? Regards, Yann -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] grid on log-plots
I can not try your revision but I will do it as soon as it is released.
Nervertheless I try your snippet with an AxesZero. I get the gridlines
and the axis but the first was over the second. It is not what I expected.
As far as I am concerned, I can wait until matplotlib next release.
Thanks,
Yann
On 09/08/2009 08:13 PM, Jae-Joon Lee wrote:
On Tue, Sep 8, 2009 at 11:51 AM, Yann
Goudardmatplotlib-us...@alleeduweb.eu wrote:
Hi,
I have the same behaviour with LocatableAxes. HostAxes, ParasiteAxes and
LocatableAxes depend on 'mpl_toolkits.axes_grid.axislines.Axes'. It must
be the matter origin.
Yes, and this was because I forgot to implement some necessary methods.
This is now fixed in the svn trunk. So if you can,please give it a try.
This another example should draw a grid but does not:
import wx
from wx import Frame
from matplotlib.backends.backend_wxagg import FigureFrameWxAgg,
FigureCanvasWxAgg
from matplotlib.figure import Figure
from mpl_toolkits.axes_grid.axes_divider import LocatableAxes
fig = Figure((1, 1), 50)
axes = LocatableAxes(fig, [0, 0, 1, 1])
# axes.toggle_axisline(False)
axes.grid(True)
fig.add_axes(axes)
app = wx.PySimpleApp()
my_viewer = FigureFrameWxAgg(-1, fig)
my_viewer.Show()
app.MainLoop()
If you uncomment axes.toggle_axisline(False), it works cause it uses
normal 'matplolib.axes.Axes' behaviour. It is not a matter for common
use but if you need 'AxesZero', this trick does not work.
What the toggle_axisline does is simply to make the xaxis and yaxis
(which are responsible for drawing ticks, ticklabels, etc in the
mainline mpl) visible again, and make axis[bottom] and etc
invisible.
One workaround is to make xaxis and yaxis visible but pnly to draw the
gridlines. Something like below.
ax.toggle_axisline(True)
ax.grid(True)
ax.gridlines.set_visible(False) # this is just to make the code not to
draw gridlines twice in future release of mpl.
ax.xaxis.set_visible(True)
ax.yaxis.set_visible(True)
for t in ax.xaxis.majorTicks + ax.yaxis.majorTicks:
t.gridOn = True
t.tick1On = False
t.tick2On = False
t.label1On = False
t.label2On = False
Let me know if this does not work, or there is a case that this cannot be
used.
Regards,
-JJ
Yann
On 09/07/2009 10:37 PM, Andreas Fromm wrote:
thanks Sebastian,
you are right, your code works here too. But i don't get it work in my
multi y-axes plot from the matplotlib examples
(http://matplotlib.sourceforge.net/examples/axes_grid/demo_parasite_axes.html).
Even with linear plots, i get no gridlines.
Any idea, whats wrong here?
minimal code example:
###
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.parasite_axes import HostAxes, ParasiteAxes
fig = plt.figure(1)
fig.clf()
#plt.grid(True)
host = HostAxes(fig, [0.15, 0.1, 0.65, 0.8])
fig.add_axes(host)
host.plot([0, 10, 100], [0, 10, 100], label='host')
host.grid(True) #?
host.yaxis.grid(True) #?
host.yaxis.set_scale('log') #?
plt.draw()
plt.show()
###
Greets,
Andreas
Sebastian Busch schrieb:
from matplotlib.pyplot import *
plot([1,10,100],[1,10,100])
grid()
yscale('log')
xscale('log')
works here.
best,
sebastian.
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