Hi Paul,
thanks for the response. Emmhh, i am not sure what's going on since what you
are saying matches what's listed at
http://matplotlib.sourceforge.net/users/customizing.html. The problem is that
when i try it I get a key error, correspondingly, when i print rcParams i
cannot find axes.color_cycle key:
So printing rcParams gives:
print mpl.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': 'out', 'axes.facecolor': 'w', 'mathtext.fontset': 'cm',
'ytick.direction': 'out', 'svg.image_inline': True, 'lines.markersize': 10.0,
'figure.dpi': 80, 'text.usetex': True, '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': ['Bitstream Vera Serif', 'DejaVu Serif', 'New Century
Schoolbook', 'Century Schoolbook L', 'Utopia', 'ITC Bookman', 'Bookman',
'Nimbus Roman No9 L', 'Times New Roman', 'Times', 'Palatino', 'Charter',
'serif'], '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': [8.0, 6.0], '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': 24.0,
'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': 1.5, 'axes3d.grid': True, 'lines.marker': 'None',
'legend.shadow': False, 'axes.titlesize': 24.0, 'backend': 'TkAgg',
'xtick.major.size': 4, 'legend.fontsize': 24.0, 'lines.solid_capstyle':
'projecting', 'mathtext.it': 'serif:italic', 'font.variant': 'normal',
'xtick.labelsize': 'medium', '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': True, 'grid.linestyle': ':',
'axes.labelcolor': 'k', 'text.color': 'k', 'mathtext.rm': 'serif',
'legend.loc': 'upper right', 'interactive': False, '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':
['Arial'], 'font.family': 'sans-serif', 'axes.labelsize': 24.0,
'ytick.minor.pad': 4, 'legend.borderaxespad': 0.5, 'mathtext.sf': 'sans\\-
serif', 'axes.hold': True, 'verbose.level': 'silent', 'mathtext.default':
'it', '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': 'medium', 'ps.papersize': 'letter', 'svg.embed_char_paths':
True}
(sorry for the long post).
Anything obvious that i am doing wrong? I am using:
Python 2.6.6
mpl.__version__ = 0.99.3
thanks
matt
On Thursday, April 07, 2011, Paul Ivanov wrote:
> Matt Funk, on 2011-04-07 16:52, wrote:
> > Hi,
> > i am farily new to matplotlib so my question might be fairly basic. I
> > would like to be able to set certain default values at the beginning of
> > my script. The way i did this with the other values is via changing the
> > value stored in rcparams. So something like:
> > import matplotlib.pyplot as mpl
> > mpl.rcParams['lines.markersize'] = 20
> >
> > But i would like to set the markerfacecolor in such a way but it is not
> > included in rcParams. I would really like to avoid setting it in each
> > individual plot call.
> >
> > Is there a way to change the default at the start of the script?
>
> Hi Matt,
>
> this depends on how you're plotting.
>
> If you're just using plt.plot - it defers to cycling through the
> rcParams['axes.color_cycle'] - so just set that to one value
> before starting your plots..
>
> old_color_cycle = rcParams['axes.color_cycle']
> rcParams['axes.color_cycle'] = 'purple' # cue Gogol Bordello
> plt.figure()
> ax = plt.subplot(111)
>
> ax.plot(range(10),'o', markersize=40)
> ax.plot(np.random.rand(10),'o', markersize=40)
> ax.plot(np.random.rand(10)*10,'o', markersize=40)
>
> # restore color_cycle just for this axes
> ax._get_lines.set_color_cycle(old_color_cycle)
> ax.plot(range(20,30), range(10),'o', markersize=40)
> ax.plot(range(20,30), np.random.rand(10),'o', markersize=40)
> ax.plot(range(20,30), np.random.rand(10)*10,'o', markersize=40)
>
> # restore old cycle for all new axes
> rcParams['axes.color_cycle'] = old_color_cycle
> --
>
> If, on the other hand, you're using scatter, there isn't
> currently a way of doing the same, since scatter just uses 'b' as
> the default parameter for color.
>
> This should probably be changed to act the same way plot does,
> but that isn't currently implemented. This would be a good first
> patch for a newcomer -- and would make matplotlib more consistent.
>
> best,
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