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New grayscale style #1164

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Apr 30, 2020
Merged

New grayscale style #1164

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424c36f
new grayscale style
aloctavodia Apr 22, 2020
47d276e
add example
aloctavodia Apr 22, 2020
a1c445b
adds perceptually uniform gray cmap
aloctavodia Apr 24, 2020
87b716b
update changelog
aloctavodia Apr 24, 2020
271197e
update changelog
aloctavodia Apr 27, 2020
bbf2d37
update changelog
aloctavodia Apr 27, 2020
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38 changes: 38 additions & 0 deletions arviz/plots/styles/arviz-grayscale.mplstyle
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Original file line number Diff line number Diff line change
@@ -0,0 +1,38 @@
# This style is based on Seaborn-white parameters, the main differences are
# Default matplotlib font (no problem using Greek letters!)
# Larger font size for several elements
# Colorblind friendly color cycle
figure.figsize: 7.2, 4.8
figure.dpi: 100.0
figure.facecolor: white
text.color: .15
axes.labelcolor: .15
legend.frameon: False
legend.numpoints: 1
legend.scatterpoints: 1
xtick.direction: out
ytick.direction: out
xtick.color: .15
ytick.color: .15
axes.axisbelow: True
lines.solid_capstyle: round

axes.labelsize: 15
axes.titlesize: 16
xtick.labelsize: 14
ytick.labelsize: 14
legend.fontsize: 14

axes.grid: False
axes.facecolor: white
axes.edgecolor: 0
axes.linewidth: 1
axes.spines.top: False
axes.spines.right: False
image.cmap: gray
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what cmap is this? The mpl default or the one in colorcet (etc+)

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The default from matplotlib, as I understand this one is perceptually uniform. But I could check again.

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It is not.

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:( OK, I will fix it

xtick.major.size: 0
ytick.major.size: 0
xtick.minor.size: 0
ytick.minor.size: 0

axes.prop_cycle: cycler('color', ["000000", "585858", "A8A8A8", "D3D3D3", "2a2eec"])
1 change: 1 addition & 0 deletions examples/matplotlib/mpl_styles.py
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Expand Up @@ -18,6 +18,7 @@
"arviz-darkgrid",
"arviz-whitegrid",
"arviz-white",
"arviz-grayscale",
]

fig = plt.figure(figsize=(12, 12))
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