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[plotting] new baseling

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This commit is contained in:
Max Zwiessele 2016-03-31 15:59:44 +01:00
parent 17bdec1bc0
commit 8ad14681ee
45 changed files with 19 additions and 10 deletions
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6
GPy/plotting/matplot_dep/defaults.py
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@ -46,8 +46,8 @@ it gives back an empty default, when defaults are not defined.
data_1d = dict(lw=1.5, marker='x', color='k')
data_2d = dict(s=35, edgecolors='none', linewidth=0., cmap=cm.get_cmap('hot'), alpha=.5)
inducing_1d = dict(lw=0, s=500, facecolors=Tango.colorsHex['darkRed'])
inducing_2d = dict(s=14, edgecolors='k', linewidth=.4, facecolors='white', alpha=.5, marker='^')
inducing_3d = dict(lw=.3, s=500, facecolors='white', edgecolors='k')
inducing_2d = dict(s=17, edgecolor='k', linewidth=.4, color='white', alpha=.5, marker='^')
inducing_3d = dict(lw=.3, s=500, color=Tango.colorsHex['darkRed'], edgecolor='k')
xerrorbar = dict(color='k', fmt='none', elinewidth=.5, alpha=.5)
yerrorbar = dict(color=Tango.colorsHex['darkRed'], fmt='none', elinewidth=.5, alpha=.5)
@ -71,5 +71,5 @@ ard = dict(edgecolor='k', linewidth=1.2)
latent = dict(aspect='auto', cmap='Greys', interpolation='bicubic')
gradient = dict(aspect='auto', cmap='RdBu', interpolation='nearest', alpha=.7)
magnification = dict(aspect='auto', cmap='Greys', interpolation='bicubic')
latent_scatter = dict(s=40, linewidth=.2, edgecolor='k', alpha=.9)
latent_scatter = dict(s=20, linewidth=.2, edgecolor='k', alpha=.9)
annotation = dict(fontdict=dict(family='sans-serif', weight='light', fontsize=9), zorder=.3, alpha=.7)

8
GPy/plotting/matplot_dep/variational_plots.py
View file

@ -15,7 +15,9 @@ def plot(parameterized, fignum=None, ax=None, colors=None, figsize=(12, 6)):
if ax is None:
fig = pb.figure(num=fignum, figsize=figsize)
if colors is None:
colors = pb.gca()._get_lines.color_cycle
from ..Tango import mediumList
from itertools import cycle
colors = cycle(mediumList)
pb.clf()
else:
colors = iter(colors)
@ -64,7 +66,9 @@ def plot_SpikeSlab(parameterized, fignum=None, ax=None, colors=None, side_by_sid
else:
fig = pb.figure(num=fignum, figsize=(8, min(12, (2 * parameterized.mean.shape[1]))))
if colors is None:
colors = pb.gca()._get_lines.color_cycle
from ..Tango import mediumList
from itertools import cycle
colors = cycle(mediumList)
pb.clf()
else:
colors = iter(colors)