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update

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danijoo
2021-06-17 22:04:22 +02:00
parent 1c41c373da
commit 4a97890736
8 changed files with 75 additions and 56 deletions
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profiles/base/.config/matplotlib/matplotlibrc
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@@ -49,12 +49,12 @@ backend_fallback: True
### LINES
# See http://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more
# information on line properties.
lines.linewidth : 1 # line width in points
lines.linewidth : 1.5 # line width in points
#lines.linestyle : - # solid line
#lines.color : C0 # has no affect on plot(); see axes.prop_cycle
#lines.marker : None # the default marker
#lines.markeredgewidth : 1.0 # the line width around the marker symbol
#lines.markersize : 6 # markersize, in points
lines.markersize : 6 # markersize, in points
#lines.dash_joinstyle : miter # miter|round|bevel
#lines.dash_capstyle : butt # butt|round|projecting
#lines.solid_joinstyle : miter # miter|round|bevel
@@ -96,36 +96,36 @@ lines.linewidth : 1 # line width in points
#boxplot.showfliers : True
#boxplot.meanline : False
#boxplot.flierprops.color : 'k'
#boxplot.flierprops.marker : '.'
#boxplot.flierprops.markerfacecolor : 'none'
#boxplot.flierprops.markeredgecolor : 'k'
boxplot.flierprops.markersize : 1
#boxplot.flierprops.linestyle : 'none'
boxplot.flierprops.color : k
boxplot.flierprops.marker : .
#boxplot.flierprops.markerfacecolor : none
#boxplot.flierprops.markeredgecolor : k
boxplot.flierprops.markersize : 2
#boxplot.flierprops.linestyle : none
#boxplot.flierprops.linewidth : 1.0
#boxplot.boxprops.color : 'k'
boxplot.boxprops.color : k
#boxplot.boxprops.linewidth : 1.0
#boxplot.boxprops.linestyle : '-'
#boxplot.boxprops.linestyle : -
#boxplot.whiskerprops.color : 'k'
#boxplot.whiskerprops.linewidth : 1.0
#boxplot.whiskerprops.linestyle : '-'
boxplot.whiskerprops.color : k
boxplot.whiskerprops.linewidth : 1
#boxplot.whiskerprops.linestyle : -
#boxplot.capprops.color : 'k'
boxplot.capprops.color : k
#boxplot.capprops.linewidth : 1.0
#boxplot.capprops.linestyle : '-'
#boxplot.capprops.linestyle : -
#boxplot.medianprops.color : 'C1'
boxplot.medianprops.color : k
#boxplot.medianprops.linewidth : 1.0
#boxplot.medianprops.linestyle : '-'
#boxplot.medianprops.linestyle : -
#boxplot.meanprops.color : 'C2'
#boxplot.meanprops.marker : '^'
#boxplot.meanprops.markerfacecolor : 'C2'
#boxplot.meanprops.markeredgecolor : 'C2'
#boxplot.meanprops.color : C2
#boxplot.meanprops.marker : ^
#boxplot.meanprops.markerfacecolor : C2
#boxplot.meanprops.markeredgecolor : C2
#boxplot.meanprops.markersize : 6
#boxplot.meanprops.linestyle : 'none'
#boxplot.meanprops.linestyle : none
#boxplot.meanprops.linewidth : 1.0
### FONT
@@ -174,7 +174,7 @@ boxplot.flierprops.markersize : 1
# settings for axes and ticks. Special text sizes can be defined
# relative to font.size, using the following values: xx-small, x-small,
# small, medium, large, x-large, xx-large, larger, or smaller
# font.size : 10
font.size : 12
#font.serif : DejaVu Serif, Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
#font.sans-serif : DejaVu Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive
@@ -281,15 +281,15 @@ text.usetex : False # use latex for all text handling. The following fo
# default fontsizes for ticklabels, and so on. See
# http://matplotlib.org/api/axes_api.html#module-matplotlib.axes
#axes.facecolor : white # axes background color
axes.edgecolor : black # axes edge color
axes.edgecolor : black # axes edge color
#axes.linewidth : 0.8 # edge linewidth
axes.grid : True # display grid or not
axes.grid : False # display grid or not
#axes.titlesize : large # fontsize of the axes title
#axes.titlepad : 6.0 # pad between axes and title in points
axes.labelsize : 16 #medium # fontsize of the x any y labels
axes.labelsize : 12 # fontsize of the x any y labels
#axes.labelpad : 4.0 # space between label and axis
#axes.labelweight : normal # weight of the x and y labels
axes.labelcolor : black
axes.labelcolor : black
#axes.axisbelow : 'line' # draw axis gridlines and ticks below
# patches (True); above patches but below
# lines ('line'); or above all (False)
@@ -315,19 +315,17 @@ axes.labelcolor : black
axes.spines.left : True # display axis spines
axes.spines.bottom : True
axes.spines.top : False
axes.spines.right : False
axes.spines.top : True
axes.spines.right : True
#axes.unicode_minus : True # use unicode for the minus symbol
# rather than hyphen. See
# http://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
#axes.prop_cycle: cycler('color', ['2864af', 'cc3f39', '2D882D', 'e8e634', '423687', '903c3f'])
#axes.prop_cycle : cycler('color', ['348ABD', '7A68A6', 'A60628', '467821', 'CF4457', '188487', 'E24A33'])
axes.prop_cycle : cycler('color', ['e41a1c', '0971e6', '41933e', '853990', 'eb7f14', 'f7cf00', '444444', 'a1a1a1', 'ff728a', '37c7c5'])
axes.prop_cycle : cycler('color', ['3a50a1', 'd84742', 'ffb333', '444444', '5d9f45', '853990'])
patch.facecolor: FFFFFF #0072B2
patch.facecolor: FFFFFF
axes.autolimit_mode : data # How to scale axes limits to the data.
# Use "data" to use data limits, plus some margin
# Use "round_number" move to the nearest "round" number
@@ -345,7 +343,7 @@ axes.ymargin : .00 # y margin See `axes.Axes.margins`
xtick.major.pad : 6 # distance to major tick label in points
xtick.minor.pad : 6 # distance to the minor tick label in points
xtick.color : 000000 #797979 # color of the tick labels
xtick.labelsize : 16# medium # fontsize of the tick labels
xtick.labelsize : 12 # fontsize of the tick labels
xtick.direction : out # direction: in or out
#ytick.major.size : 0 # major tick size in points
@@ -353,7 +351,7 @@ xtick.direction : out # direction: in or out
ytick.major.pad : 6 # distance to major tick label in points
ytick.minor.pad : 6 # distance to the minor tick label in points
ytick.color : 000000 #797979 # color of the tick labels
ytick.labelsize : 16 #medium # fontsize of the tick labels
ytick.labelsize : 12 # fontsize of the tick labels
ytick.direction : out # direction: in or out
@@ -390,8 +388,8 @@ legend.fontsize : 8 # 10
#figure.titlesize : large # size of the figure title (Figure.suptitle())
#figure.titleweight : normal # weight of the figure title
figure.figsize : 6.4,4.8 # figure size in inches
figure.dpi : 600 # figure dots per inch
#figure.facecolor : yellow #white # figure facecolor; 0.75 is scalar gray
figure.dpi : 300 # figure dots per inch
#figure.facecolor : white # figure facecolor; 0.75 is scalar gray
# figure.edgecolor : white # figure edgecolor
figure.autolayout : True # When True, automatically adjust subplot
# parameters to make the plot fit the figure
@@ -430,7 +428,7 @@ figure.autolayout : True # When True, automatically adjust subplot
#errorbar.capsize : 0 # length of end cap on error bars in pixels
### HISTOGRAM PLOTS
#hist.bins : 10 # The default number of histogram bins.
hist.bins : 100 # The default number of histogram bins.
# If Numpy 1.11 or later is
# installed, may also be `auto`
@@ -504,7 +502,7 @@ savefig.dpi : 300 # figure dots per inch or 'figure'
# svg backend params
#svg.image_inline : True # write raster image data directly into the svg file
#svg.fonttype : 'path' # How to handle SVG fonts:
#svg.fonttype : none # How to handle SVG fonts:
# 'none': Assume fonts are installed on the machine where the SVG will be viewed.
# 'path': Embed characters as paths -- supported by most SVG renderers
# 'svgfont': Embed characters as SVG fonts -- supported only by Chrome,