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 agde...@gmail.com 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 ndbeck...@gmail.com 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 lee.j.j...@gmail.com 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 agde...@gmail.com 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. -- Jérôme -- 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] 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... -- Jérôme -- 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] 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 clau_...@yahoo.com 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 -- 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] 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 -- Jérôme -- 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] 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 thlec...@msn.com 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 questions.a...@gmail.com 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. attachment: hat_error.png-- 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] 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_ x.pi...@gmail.com 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': 'normal', 'image.resample': False, 'agg.path.chunksize': 0, 'path.simplify_threshold':
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