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Martin Bubel 2024-05-19 20:23:01 +02:00
parent 741bb0b0da
commit e1fa04bb04
1 changed files with 45 additions and 26 deletions
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GPy/plotting/matplot_dep/defaults.py
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@ -1,4 +1,4 @@
#===============================================================================
# ===============================================================================
# Copyright (c) 2015, Max Zwiessele
# All rights reserved.
#
@ -26,12 +26,12 @@
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#===============================================================================
# ===============================================================================
from matplotlib import cm
from .. import Tango
'''
"""
This file is for defaults for the gpy plot, specific to the plotting library.
Create a kwargs dictionary with the right name for the plotting function
@ -40,36 +40,55 @@ the plotting library will be used.
In the code, always ise plotting.gpy_plots.defaults to get the defaults, as
it gives back an empty default, when defaults are not defined.
'''
"""
# Data plots:
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, color=Tango.colorsHex['darkRed'])
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)
data_1d = dict(lw=1.5, marker="x", color="k")
data_2d = dict(
s=35, edgecolors="none", linewidth=0.0, cmap=cm.get_cmap("hot"), alpha=0.5
)
inducing_1d = dict(lw=0, s=500, color=Tango.colorsHex["darkRed"])
inducing_2d = dict(
s=17, edgecolor="k", linewidth=0.4, color="white", alpha=0.5, marker="^"
)
inducing_3d = dict(lw=0.3, s=500, color=Tango.colorsHex["darkRed"], edgecolor="k")
xerrorbar = dict(color="k", fmt="none", elinewidth=0.5, alpha=0.5)
yerrorbar = dict(
color=Tango.colorsHex["darkRed"], fmt="none", elinewidth=0.5, alpha=0.5
)
# GP plots:
meanplot_1d = dict(color=Tango.colorsHex['mediumBlue'], linewidth=2)
meanplot_2d = dict(cmap='hot', linewidth=.5)
meanplot_3d = dict(linewidth=0, antialiased=True, cstride=1, rstride=1, cmap='hot', alpha=.3)
samples_1d = dict(color=Tango.colorsHex['mediumBlue'], linewidth=.3)
samples_3d = dict(cmap='hot', alpha=.1, antialiased=True, cstride=1, rstride=1, linewidth=0)
confidence_interval = dict(edgecolor=Tango.colorsHex['darkBlue'], linewidth=.5, color=Tango.colorsHex['lightBlue'],alpha=.2)
density = dict(alpha=.5, color=Tango.colorsHex['lightBlue'])
meanplot_1d = dict(color=Tango.colorsHex["mediumBlue"], linewidth=2)
meanplot_2d = dict(cmap="hot", linewidth=0.5)
meanplot_3d = dict(
linewidth=0, antialiased=True, cstride=1, rstride=1, cmap="hot", alpha=0.3
)
samples_1d = dict(color=Tango.colorsHex["mediumBlue"], linewidth=0.3)
samples_3d = dict(
cmap="hot", alpha=0.1, antialiased=True, cstride=1, rstride=1, linewidth=0
)
confidence_interval = dict(
edgecolor=Tango.colorsHex["darkBlue"],
linewidth=0.5,
color=Tango.colorsHex["lightBlue"],
alpha=0.2,
)
density = dict(alpha=0.5, color=Tango.colorsHex["lightBlue"])
# GPLVM plots:
data_y_1d = dict(linewidth=0, cmap='RdBu', s=40)
data_y_1d_plot = dict(color='k', linewidth=1.5)
data_y_1d = dict(linewidth=0, cmap="RdBu", s=40)
data_y_1d_plot = dict(color="k", linewidth=1.5)
# Kernel plots:
ard = dict(edgecolor='k', linewidth=1.2)
ard = dict(edgecolor="k", linewidth=1.2)
# Input plots:
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=20, linewidth=.2, edgecolor='k', alpha=.9)
annotation = dict(fontdict=dict(family='sans-serif', weight='light', fontsize=9), zorder=.3, alpha=.7)
latent = dict(aspect="auto", cmap="Greys", interpolation="bicubic")
gradient = dict(aspect="auto", cmap="RdBu", interpolation="nearest", alpha=0.7)
magnification = dict(aspect="auto", cmap="Greys", interpolation="bicubic")
latent_scatter = dict(s=20, linewidth=0.2, edgecolor="k", alpha=0.9)
annotation = dict(
fontdict=dict(family="sans-serif", weight="light", fontsize=9),
zorder=0.3,
alpha=0.7,
)