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': 0.90000000000000002, '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': 0.20000000000000001, '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': 0.20000000000000001, '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': [5.5999999999999996, 3.4609903369994113], 'axes.linewidth': 1.0, 'legend.handletextpad': 0.80000000000000004, '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': 0.90000000000000002, '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': 0.40000000000000002, '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': 0.10000000000000001, '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': 0.1111111111111111, 'ytick.labelsize': 8.0, 'ps.papersize': 'letter', 'svg.embed_char_paths': True} >>> Any tips? Thanks. 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