Re: [Matplotlib-users] Inconsistent marker/line zorder in errorbar legend
I just pushed a change that I believe fixes this problem https://github.com/matplotlib/matplotlib/commit/96caca8dd48d08e3106337ecdeae82fa0236b86b Required change is very minor, so you may apply the patch by yourself. If you need a workaround, let me know. Regards, -JJ On Tue, Dec 6, 2011 at 11:46 AM, Adrian Del Maestro wrote: > Hello, > > I have run across an inconsistency in the zorder of markers and lines > in the legend for an errorbar as opposed to a plot in matplotlib > v1.1.0. After some considerable amount of time reading > legend_handler.py and the information at > http://matplotlib.sourceforge.net/users/legend_guide.html I was unable > to figure out how to make the errorbar markers sit 'on top' of the > lines in a legend. > > For example the following code: > > import pylab as pl > import numpy as np > > x = pl.arange(-2,2,0.1) > y = x**2 > dy = np.random.random(len(x)) > > pl.figure(1) > pl.plot(x,y, color='k', linewidth=0.5, linestyle='-', marker='o', > markerfacecolor='lime', markeredgecolor='k', markeredgewidth=0.5, > label='line1', markersize=10) > pl.legend(loc='best', frameon=False) > > pl.figure(2) > pl.errorbar(x,y,yerr=dy, color='k', linewidth=0.5, linestyle='-', marker='o', > markerfacecolor='lime', markeredgecolor='k', markeredgewidth=0.5, > label='line1', markersize=10, ecolor='lime', capsize=10) > pl.legend(loc='best', frameon=False) > > pl.show() > > produces a legend for the plot (figure(1)) with the markers on top of > the lines, but the legend for the errorbar (figure(2)) has this > reversed. > > Any ideas/suggestions would be greatly appreciated. > > Best, > Adrian. > > -- > Cloud Services Checklist: Pricing and Packaging Optimization > This white paper is intended to serve as a reference, checklist and point of > discussion for anyone considering optimizing the pricing and packaging model > of a cloud services business. Read Now! > http://www.accelacomm.com/jaw/sfnl/114/51491232/ > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] problem with annotate
Can you post an standalone example? Maybe you want to set the *annotation_clip* parameter to False? http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.annotate Regards, -JJ On Fri, Dec 2, 2011 at 10:19 PM, Neal Becker wrote: > Using horizontalalignment='right', it seems that if a point lies on the right > edge of the plot, the annotation does not appear, even though (since the text > should be right aligned), the text would have been on the plot and be visible. > > Any workaround? > > > -- > All the data continuously generated in your IT infrastructure > contains a definitive record of customers, application performance, > security threats, fraudulent activity, and more. Splunk takes this > data and makes sense of it. IT sense. And common sense. > http://p.sf.net/sfu/splunk-novd2d > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Inconsistent marker/line zorder in errorbar legend
Thank you very much! I was trying to do something like this in legend_handler.py but this is such a simple fix! Best, Adrian. On Wed, Dec 7, 2011 at 9:11 AM, Jae-Joon Lee wrote: > I just pushed a change that I believe fixes this problem > > https://github.com/matplotlib/matplotlib/commit/96caca8dd48d08e3106337ecdeae82fa0236b86b > > Required change is very minor, so you may apply the patch by yourself. > If you need a workaround, let me know. > Regards, > > -JJ > > > On Tue, Dec 6, 2011 at 11:46 AM, Adrian Del Maestro wrote: >> Hello, >> >> I have run across an inconsistency in the zorder of markers and lines >> in the legend for an errorbar as opposed to a plot in matplotlib >> v1.1.0. After some considerable amount of time reading >> legend_handler.py and the information at >> http://matplotlib.sourceforge.net/users/legend_guide.html I was unable >> to figure out how to make the errorbar markers sit 'on top' of the >> lines in a legend. >> >> For example the following code: >> >> import pylab as pl >> import numpy as np >> >> x = pl.arange(-2,2,0.1) >> y = x**2 >> dy = np.random.random(len(x)) >> >> pl.figure(1) >> pl.plot(x,y, color='k', linewidth=0.5, linestyle='-', marker='o', >> markerfacecolor='lime', markeredgecolor='k', markeredgewidth=0.5, >> label='line1', markersize=10) >> pl.legend(loc='best', frameon=False) >> >> pl.figure(2) >> pl.errorbar(x,y,yerr=dy, color='k', linewidth=0.5, linestyle='-', marker='o', >> markerfacecolor='lime', markeredgecolor='k', markeredgewidth=0.5, >> label='line1', markersize=10, ecolor='lime', capsize=10) >> pl.legend(loc='best', frameon=False) >> >> pl.show() >> >> produces a legend for the plot (figure(1)) with the markers on top of >> the lines, but the legend for the errorbar (figure(2)) has this >> reversed. >> >> Any ideas/suggestions would be greatly appreciated. >> >> Best, >> Adrian. >> >> -- >> Cloud Services Checklist: Pricing and Packaging Optimization >> This white paper is intended to serve as a reference, checklist and point of >> discussion for anyone considering optimizing the pricing and packaging model >> of a cloud services business. Read Now! >> http://www.accelacomm.com/jaw/sfnl/114/51491232/ >> ___ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Dynamic adjustment of axis position and size in figure
Hi all.
The position of an axes is fixed at creation, regardless of the what goes
outside the plot area. If the numbers on the y-axis are big enough (say, 7
digits) and a label is added, the label gets out of the figure.
Example :
--
import pylab
data = [0,1,2,300]
fig = pylab.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.plot(data)
ax1.set_ylabel('label_axis_y1')
pylab.show()
--
Is there a way to automatically resize the axis and nicely center the whole
set {axes + ticklabels + labels} in the figure ?
One could use add_axes and play with the coordinates until he gets something
nice, but it gets complicated to have it automatic as things depends on
- the number of digits of y-axis ticklabels
- whether or not a secundary y-axis is added on the right (using twinx)
Or did I miss something ?
Thanks.
--
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Re: [Matplotlib-users] Dynamic adjustment of axis position and size in figure
Hi again.
Wed, 7 Dec 2011 20:29:22 +0100
Jérôme a écrit:
> Is there a way to automatically resize the axis and nicely center the whole
> set {axes + ticklabels + labels} in the figure ?
[...]
> Or did I miss something ?
It seems I missed figure.tight_layout().
Sorry about that...
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[Matplotlib-users] Round pie in non square figure size
I would like to draw a round pie in a rectangle figure. At the moment I'm using something like: fig = plt.figure( figsize = figsize, dpi=inch) # plot actually ax = fig.add_subplot( 1, 1, 1 ) ax.pie( value_list, labels = labels_list, **kwargs ) plt.savefig( plt_pathname ) plt.close() If the figsize is not square ( eg. [4, 4]) then the resulting figure will be stretched, elipsoid. Can I overcome this issue. Thanks in advance -- View this message in context: http://old.nabble.com/Round-pie-in-non-square-figure-size-tp32929787p32929787.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Round pie in non square figure size
On Wed, Dec 7, 2011 at 11:08 AM, claudius wrote:
>
> I would like to draw a round pie in a rectangle figure. At the moment I'm
> using something like:
>
>fig = plt.figure( figsize = figsize, dpi=inch)
>
># plot actually
>ax = fig.add_subplot( 1, 1, 1 )
>ax.pie( value_list, labels = labels_list, **kwargs )
>
>plt.savefig( plt_pathname )
>plt.close()
>
> If the figsize is not square ( eg. [4, 4]) then the resulting figure will
> be
> stretched, elipsoid.
> Can I overcome this issue.
> Thanks in advance
>
> You can set the aspect of the axes object:
ax.set_aspect('equal')
Best,
-Tony
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Re: [Matplotlib-users] Dynamic adjustment of axis position and size in figure
Wed, 7 Dec 2011 20:29:22 +0100
Jérôme a écrit:
> Is there a way to automatically resize the axis and nicely center the whole
> set {axes + ticklabels + labels} in the figure ?
>
> One could use add_axes and play with the coordinates until he gets something
> nice, but it gets complicated to have it automatic as things depends on
> - the number of digits of y-axis ticklabels
> - whether or not a secundary y-axis is added on the right (using twinx)
Hi again, sorry for multi-posting.
Apparently, figure.tight_layout() does not take into account the secondary
y-axis on the right.
Is this a known limitation ? (I don't see it on the caveats paragraph [1].)
Or is this the use I make of it that is incorrect ?
Example :
--
import pylab
fig = pylab.figure()
data_1 = [0,1,2,3]
data_2 = [0,5,250,3]
lines = []
# Primary axis
ax1 = fig.add_subplot(1,1,1)
lines.extend (ax1.plot(data_1, 'b'))
# Secondary axis
ax2 = pylab.twinx(ax1)
lines.extend (ax2.plot(data_2, 'g'))
labels = ['Data 1', 'Data 2']
fig.tight_layout()
pylab.show()
--
Thanks.
[1] http://matplotlib.sourceforge.net/users/tight_layout_guide.html
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Re: [Matplotlib-users] add cirlce around lat lon
thanks for the responses. Sebastians suggestion to use tissot function is exactly what I needed. map.tissot(lon, lat, r, 96) thanks again On Wed, Dec 7, 2011 at 6:36 PM, Thomas Lecocq wrote: > Dear, > > you can try my tutorial to achieve this properly : > http://www.geophysique.be/2011/02/20/matplotlib-basemap-tutorial-09-drawing-circles/ > > Cheers, > > Thom > > ps : on the "things to do when I have some time" list : commit a method to > the default basemap package to do this... > > > -- > Date: Tue, 6 Dec 2011 21:23:18 -0600 > From: ben.r...@ou.edu > To: questions.a...@gmail.com > CC: Matplotlib-users@lists.sourceforge.net > Subject: Re: [Matplotlib-users] add cirlce around lat lon > > > > > On Tuesday, December 6, 2011, questions anon > wrote: > > I would like to draw a simple circle around a specified latitude and > longitude but I cannot find an appropriate command. > > I have tried using > > map.drawgreatcircle(myLON, myLAT,myLON, myLAT, linewidth=20,color='k') > > but this doesn't do anything > > or even > > map.drawgreatcircle(myLON+1, myLAT+1,myLON-1, myLAT-1, > linewidth=2,color='k') > > and this appears to draw a line. > > Any other commands I could try for this? > > thanks in advance > > > > drawgreatcircle() doesn't actually draw a circle, but rather an arc that > represents the shortest distance between two points on the globe. > > Maybe you would rather use a Circle object? > > Ben Root > -- > Cloud Services Checklist: Pricing and Packaging Optimization This white > paper is intended to serve as a reference, checklist and point of > discussion for anyone considering optimizing the pricing and packaging > model of a cloud services business. Read Now! > http://www.accelacomm.com/jaw/sfnl/114/51491232/ > ___ Matplotlib-users mailing > list Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > -- > Cloud Services Checklist: Pricing and Packaging Optimization > This white paper is intended to serve as a reference, checklist and point > of > discussion for anyone considering optimizing the pricing and packaging > model > of a cloud services business. Read Now! > http://www.accelacomm.com/jaw/sfnl/114/51491232/ > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Incorrect latex rendering for \hat{x} and \vec{x}
Hi:
I am getting incorrect renderings when using \hat{x} or \vec{x}. The
following code
#
import matplotlib.pylab as plt
plt.axes([0.1, 0.15, 0.8, 0.75])
plt.plot(range(10))
plt.xlabel(r'$\hat{y}$ $\vec{x}$ $x^2 + y^2$', fontsize=20)
plt.show()
#
produce the attached plot. Note that the "hat" and the "arrow" are in
the wrong place. The other Latex part looks OK.
I am running version 1.2.x (built from commit
11e528425e230a3e23d04202aea23d88d40d9c4c) and Ubuntu 11.10.
Any ideas about how to solve the problem?
Alejandro.
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[Matplotlib-users] need help with Times New Roman font.
Hi all.
I want to use "Times New Roman" font for my pictures.
Searching the list I have found this solution:
__
pylab.rc('font', family='serif')
pylab.rc('font', serif='Times New Roman')
pylab.rc('text', usetex='false')
..
yl=pylab.ylabel(r'Difference extinction coeffitient, ($M \times
cm^{-1})$',fontsize=8)
xl=pylab.xlabel("Wavelength, (nm)", fontsize=8)
However it still does not use Times new roman.
>>> yl.get_fontname()
'DejaVu Serif'
>>> xl.get_fontname()
'DejaVu Serif'
>>>
I have the font:
>>> font_manager.findfont('Times New Roman')
'/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf'
and here are rcparams
>>font_manager.rcParams
{'figure.subplot.right': 0.90002, 'mathtext.cal':
'cursive', 'font.fantasy': ['Comic Sans MS', 'Chicago', 'Charcoal',
'ImpactWestern', 'fantasy'], 'xtick.minor.pad': 4, 'tk.pythoninspect':
False, 'image.aspect': 'equal', 'font.cursive': ['Apple Chancery',
'Textile', 'Zapf Chancery', 'Sand', 'cursive'],
'figure.subplot.hspace': 0.20001, 'xtick.direction': 'in',
'axes.facecolor': 'w', 'mathtext.fontset': 'cm', 'ytick.direction':
'in', 'svg.image_inline': True, 'lines.markersize': 6, 'figure.dpi':
100.0, 'text.usetex': False, 'text.fontangle': 'normal',
'patch.edgecolor': 'k', 'legend.labelspacing': 0.5, 'ps.useafm':
False, 'mathtext.bf': 'serif:bold', 'lines.solid_joinstyle': 'round',
'font.monospace': ['Bitstream Vera Sans Mono', 'DejaVu Sans Mono',
'Andale Mono', 'Nimbus Mono L', 'Courier New', 'Courier', 'Fixed',
'Terminal', 'monospace'], 'xtick.minor.size': 2,
'axes.formatter.limits': [-7, 7], 'figure.subplot.wspace':
0.20001, 'savefig.edgecolor': 'w', 'text.fontvariant':
'normal', 'image.cmap': 'jet', 'axes.edgecolor': 'k',
'tk.window_focus': False, 'image.origin': 'upper', 'text.fontsize':
'medium', 'font.serif': ['Times New Roman'], 'savefig.facecolor': 'w',
'maskedarray': 'obsolete', 'ytick.minor.size': 2, 'numerix':
'obsolete', 'font.stretch': 'normal', 'text.dvipnghack': None,
'ytick.color': 'k', 'lines.linestyle': '-', 'xtick.color': 'k',
'xtick.major.pad': 4, 'text.fontweight': 'normal', 'patch.facecolor':
'b', 'figure.figsize': [5.5996, 3.4609903369994113],
'axes.linewidth': 1.0, 'legend.handletextpad': 0.80004,
'mathtext.fallback_to_cm': True, 'lines.linewidth': 1.0,
'savefig.dpi': 100, 'verbose.fileo': 'sys.stdout',
'svg.image_noscale': False, 'docstring.hardcopy': False, 'font.size':
12.0, 'ps.fonttype': 3, 'path.simplify': True, 'polaraxes.grid': True,
'toolbar': 'toolbar2', 'pdf.compression': 6, 'grid.linewidth': 0.5,
'figure.autolayout': False, 'figure.facecolor': '0.75',
'ps.usedistiller': False, 'legend.isaxes': True, 'figure.edgecolor':
'w', 'mathtext.tt': 'monospace', 'contour.negative_linestyle':
'dashed', 'image.interpolation': 'bilinear', 'lines.markeredgewidth':
0.5, 'axes3d.grid': True, 'lines.marker': 'None', 'legend.shadow':
False, 'axes.titlesize': 'large', 'backend': 'TkAgg',
'xtick.major.size': 4, 'legend.fontsize': 'large',
'lines.solid_capstyle': 'projecting', 'mathtext.it': 'serif:italic',
'font.variant': 'normal', 'xtick.labelsize': 8.0,
'axes.unicode_minus': True, 'ps.distiller.res': 6000, 'pdf.fonttype':
3, 'patch.linewidth': 1.0, 'pdf.inheritcolor': False,
'lines.dash_capstyle': 'butt', 'lines.color': 'b',
'text.latex.preview': False, 'figure.subplot.top':
0.90002, 'pdf.use14corefonts': False,
'legend.markerscale': 1.0, 'patch.antialiased': True, 'font.style':
'normal', 'backend_fallback': True, 'legend.fancybox': False,
'grid.linestyle': ':', 'axes.labelcolor': 'k', 'text.color': 'k',
'mathtext.rm': 'serif', 'legend.loc': 'upper right', 'interactive':
True, 'cairo.format': 'png', 'savefig.orientation': 'portrait',
'axes.axisbelow': False, 'ytick.major.size': 4, 'axes.grid': False,
'plugins.directory': '.matplotlib_plugins', 'grid.color': 'k',
'timezone': 'UTC', 'ytick.major.pad': 4, 'legend.borderpad':
0.40002, 'lines.dash_joinstyle': 'round', 'datapath':
'/usr/share/matplotlib/mpl-data', 'lines.antialiased': True,
'text.latex.unicode': False, 'image.lut': 256, 'units': False,
'figure.subplot.bottom': 0.10001, 'text.latex.preamble':
[''], 'legend.numpoints': 2, 'legend.handlelength': 2.0,
'font.sans-serif': ['Bitstream Vera Sans', 'DejaVu Sans', 'Lucida
Grande', 'Verdana', 'Geneva', 'Lucid', 'Arial', 'Helvetica', 'Avant
Garde', 'sans-serif'], 'font.family': 'serif', 'axes.labelsize':
'medium', 'ytick.minor.pad': 4, 'legend.borderaxespad': 0.5,
'mathtext.sf': 'sans\\-serif', 'axes.hold': True, 'verbose.level':
'silent', 'mathtext.default': 'regular', 'figure.subplot.left': 0.125,
'legend.columnspacing': 2.0, 'text.fontstyle': 'normal',
'font.weight': 'normal', 'image.resample': False,
'agg.path.chunksize': 0, 'path.simplify_threshold':
0., 'ytick.labelsize': 8.0, 'ps.papersize': 'letter',
'svg.embed_char_paths': True}
>>>
Any tips?
Thanks.
Petro.
___
Re: [Matplotlib-users] need help with Times New Roman font.
On Wed, Dec 7, 2011 at 8:27 PM, Piter_ wrote:
> Hi all.
> I want to use "Times New Roman" font for my pictures.
> Searching the list I have found this solution:
> __
>
> pylab.rc('font', family='serif')
> pylab.rc('font', serif='Times New Roman')
> pylab.rc('text', usetex='false')
> ..
>
>
> yl=pylab.ylabel(r'Difference extinction coeffitient, ($M \times
> cm^{-1})$',fontsize=8)
> xl=pylab.xlabel("Wavelength, (nm)", fontsize=8)
>
> However it still does not use Times new roman.
>
> >>> yl.get_fontname()
> 'DejaVu Serif'
> >>> xl.get_fontname()
> 'DejaVu Serif'
> >>>
>
> I have the font:
>
> >>> font_manager.findfont('Times New Roman')
> '/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf'
>
> and here are rcparams
>
> >>font_manager.rcParams
> {'figure.subplot.right': 0.90002, 'mathtext.cal':
> 'cursive', 'font.fantasy': ['Comic Sans MS', 'Chicago', 'Charcoal',
> 'ImpactWestern', 'fantasy'], 'xtick.minor.pad': 4, 'tk.pythoninspect':
> False, 'image.aspect': 'equal', 'font.cursive': ['Apple Chancery',
> 'Textile', 'Zapf Chancery', 'Sand', 'cursive'],
> 'figure.subplot.hspace': 0.20001, 'xtick.direction': 'in',
> 'axes.facecolor': 'w', 'mathtext.fontset': 'cm', 'ytick.direction':
> 'in', 'svg.image_inline': True, 'lines.markersize': 6, 'figure.dpi':
> 100.0, 'text.usetex': False, 'text.fontangle': 'normal',
> 'patch.edgecolor': 'k', 'legend.labelspacing': 0.5, 'ps.useafm':
> False, 'mathtext.bf': 'serif:bold', 'lines.solid_joinstyle': 'round',
> 'font.monospace': ['Bitstream Vera Sans Mono', 'DejaVu Sans Mono',
> 'Andale Mono', 'Nimbus Mono L', 'Courier New', 'Courier', 'Fixed',
> 'Terminal', 'monospace'], 'xtick.minor.size': 2,
> 'axes.formatter.limits': [-7, 7], 'figure.subplot.wspace':
> 0.20001, 'savefig.edgecolor': 'w', 'text.fontvariant':
> 'normal', 'image.cmap': 'jet', 'axes.edgecolor': 'k',
> 'tk.window_focus': False, 'image.origin': 'upper', 'text.fontsize':
> 'medium', 'font.serif': ['Times New Roman'], 'savefig.facecolor': 'w',
> 'maskedarray': 'obsolete', 'ytick.minor.size': 2, 'numerix':
> 'obsolete', 'font.stretch': 'normal', 'text.dvipnghack': None,
> 'ytick.color': 'k', 'lines.linestyle': '-', 'xtick.color': 'k',
> 'xtick.major.pad': 4, 'text.fontweight': 'normal', 'patch.facecolor':
> 'b', 'figure.figsize': [5.5996, 3.4609903369994113],
> 'axes.linewidth': 1.0, 'legend.handletextpad': 0.80004,
> 'mathtext.fallback_to_cm': True, 'lines.linewidth': 1.0,
> 'savefig.dpi': 100, 'verbose.fileo': 'sys.stdout',
> 'svg.image_noscale': False, 'docstring.hardcopy': False, 'font.size':
> 12.0, 'ps.fonttype': 3, 'path.simplify': True, 'polaraxes.grid': True,
> 'toolbar': 'toolbar2', 'pdf.compression': 6, 'grid.linewidth': 0.5,
> 'figure.autolayout': False, 'figure.facecolor': '0.75',
> 'ps.usedistiller': False, 'legend.isaxes': True, 'figure.edgecolor':
> 'w', 'mathtext.tt': 'monospace', 'contour.negative_linestyle':
> 'dashed', 'image.interpolation': 'bilinear', 'lines.markeredgewidth':
> 0.5, 'axes3d.grid': True, 'lines.marker': 'None', 'legend.shadow':
> False, 'axes.titlesize': 'large', 'backend': 'TkAgg',
> 'xtick.major.size': 4, 'legend.fontsize': 'large',
> 'lines.solid_capstyle': 'projecting', 'mathtext.it': 'serif:italic',
> 'font.variant': 'normal', 'xtick.labelsize': 8.0,
> 'axes.unicode_minus': True, 'ps.distiller.res': 6000, 'pdf.fonttype':
> 3, 'patch.linewidth': 1.0, 'pdf.inheritcolor': False,
> 'lines.dash_capstyle': 'butt', 'lines.color': 'b',
> 'text.latex.preview': False, 'figure.subplot.top':
> 0.90002, 'pdf.use14corefonts': False,
> 'legend.markerscale': 1.0, 'patch.antialiased': True, 'font.style':
> 'normal', 'backend_fallback': True, 'legend.fancybox': False,
> 'grid.linestyle': ':', 'axes.labelcolor': 'k', 'text.color': 'k',
> 'mathtext.rm': 'serif', 'legend.loc': 'upper right', 'interactive':
> True, 'cairo.format': 'png', 'savefig.orientation': 'portrait',
> 'axes.axisbelow': False, 'ytick.major.size': 4, 'axes.grid': False,
> 'plugins.directory': '.matplotlib_plugins', 'grid.color': 'k',
> 'timezone': 'UTC', 'ytick.major.pad': 4, 'legend.borderpad':
> 0.40002, 'lines.dash_joinstyle': 'round', 'datapath':
> '/usr/share/matplotlib/mpl-data', 'lines.antialiased': True,
> 'text.latex.unicode': False, 'image.lut': 256, 'units': False,
> 'figure.subplot.bottom': 0.10001, 'text.latex.preamble':
> [''], 'legend.numpoints': 2, 'legend.handlelength': 2.0,
> 'font.sans-serif': ['Bitstream Vera Sans', 'DejaVu Sans', 'Lucida
> Grande', 'Verdana', 'Geneva', 'Lucid', 'Arial', 'Helvetica', 'Avant
> Garde', 'sans-serif'], 'font.family': 'serif', 'axes.labelsize':
> 'medium', 'ytick.minor.pad': 4, 'legend.borderaxespad': 0.5,
> 'mathtext.sf': 'sans\\-serif', 'axes.hold': True, 'verbose.level':
> 'silent', 'mathtext.default': 'regular', 'figure.subplot.left': 0.125,
> 'legend.columnspacing': 2.0, 'text.fontstyle': 'normal',
> 'font.weight': 'n
Re: [Matplotlib-users] need help with Times New Roman font.
Hi. Thank for the reply. I use debian stable with matplotlib and python from debian repository, emacs python mode. I had a look on the topic here http://old.nabble.com/how-to-use-different-font-for-serif-td32905458.html I don't have any warning messages. Have no clue there to look further :( -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] need help with Times New Roman font.
Hi > Could you post the version number: my version is '0.99.3' It looks like after deleting fontList.cache file everything works. But I got another question. Why I don't get warnings even if I try font like "fadslkhflkjdvhsdlfvfdls". Thanks in advance. Petro -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
