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75 lines
3.7 KiB
Python
75 lines
3.7 KiB
Python
#===============================================================================
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# Copyright (c) 2015, Max Zwiessele
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# * Redistributions of source code must retain the above copyright notice, this
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# list of conditions and the following disclaimer.
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#
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# * Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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#
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# * Neither the name of GPy nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#===============================================================================
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from matplotlib import cm
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from .. import Tango
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'''
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This file is for defaults for the gpy plot, specific to the plotting library.
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Create a kwargs dictionary with the right name for the plotting function
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you are implementing. If you do not provide defaults, the default behaviour of
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the plotting library will be used.
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In the code, always ise plotting.gpy_plots.defaults to get the defaults, as
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it gives back an empty default, when defaults are not defined.
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'''
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# Data plots:
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data_1d = dict(lw=1.5, marker='x', color='k')
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data_2d = dict(s=35, edgecolors='none', linewidth=0., cmap=cm.get_cmap('hot'), alpha=.5)
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inducing_1d = dict(lw=0, s=500, facecolors=Tango.colorsHex['darkRed'])
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inducing_2d = dict(s=14, edgecolors='k', linewidth=.4, facecolors='white', alpha=.5, marker='^')
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inducing_3d = dict(lw=.3, s=500, facecolors='white', edgecolors='k')
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xerrorbar = dict(color='k', fmt='none', elinewidth=.5, alpha=.5)
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yerrorbar = dict(color=Tango.colorsHex['darkRed'], fmt='none', elinewidth=.5, alpha=.5)
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# GP plots:
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meanplot_1d = dict(color=Tango.colorsHex['mediumBlue'], linewidth=2)
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meanplot_2d = dict(cmap='hot', linewidth=.5)
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meanplot_3d = dict(linewidth=0, antialiased=True, cstride=1, rstride=1, cmap='hot', alpha=.3)
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samples_1d = dict(color=Tango.colorsHex['mediumBlue'], linewidth=.3)
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samples_3d = dict(cmap='hot', alpha=.1, antialiased=True, cstride=1, rstride=1, linewidth=0)
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confidence_interval = dict(edgecolor=Tango.colorsHex['darkBlue'], linewidth=.5, color=Tango.colorsHex['lightBlue'],alpha=.2)
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density = dict(alpha=.5, color=Tango.colorsHex['lightBlue'])
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# GPLVM plots:
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data_y_1d = dict(linewidth=0, cmap='RdBu', s=40)
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data_y_1d_plot = dict(color='k', linewidth=1.5)
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# Kernel plots:
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ard = dict(edgecolor='k', linewidth=1.2)
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# Input plots:
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latent = dict(aspect='auto', cmap='Greys', interpolation='bicubic')
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gradient = dict(aspect='auto', cmap='RdBu', interpolation='nearest', alpha=.7)
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magnification = dict(aspect='auto', cmap='Greys', interpolation='bicubic')
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latent_scatter = dict(s=40, linewidth=.2, edgecolor='k', alpha=.9)
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annotation = dict(fontdict=dict(family='sans-serif', weight='light', fontsize=9), zorder=.3, alpha=.7)
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