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dark.mplstyle
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dark.mplstyle
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##### CONFIGURATION BEGINS HERE
#### Boxplot
#boxplot.notch : False
#boxplot.vertical : True
#boxplot.whiskers : 1.5
#boxplot.bootstrap : None
#boxplot.patchartist : False
#boxplot.showmeans : False
#boxplot.showcaps : True
#boxplot.showbox : True
#boxplot.showfliers : True
#boxplot.meanline : False
boxplot.flierprops.color : white
#boxplot.flierprops.marker : o
#boxplot.flierprops.markerfacecolor : none
boxplot.flierprops.markeredgecolor : white
#boxplot.flierprops.markeredgewidth : 1.0
#boxplot.flierprops.markersize : 6
#boxplot.flierprops.linestyle : none
#boxplot.flierprops.linewidth : 1.0
boxplot.boxprops.color : white
#boxplot.boxprops.linewidth : 1.0
#boxplot.boxprops.linestyle : -
boxplot.whiskerprops.color : white
#boxplot.whiskerprops.linewidth : 1.0
#boxplot.whiskerprops.linestyle : -
boxplot.capprops.color : white
#boxplot.capprops.linewidth : 1.0
#boxplot.capprops.linestyle : -
#boxplot.medianprops.color : C1
#boxplot.medianprops.linewidth : 1.0
#boxplot.medianprops.linestyle : -
#boxplot.meanprops.color : C2
#boxplot.meanprops.marker : ^
#boxplot.meanprops.markerfacecolor : C2
#boxplot.meanprops.markeredgecolor : C2
#boxplot.meanprops.markersize : 6
#boxplot.meanprops.linestyle : --
#boxplot.meanprops.linewidth : 1.0
#### FONT
## font properties used by text.Text. See
## http://matplotlib.org/api/font_manager_api.html for more
## information on font properties. The 6 font properties used for font
## matching are given below with their default values.
##
## The font.family property has five values: 'serif' (e.g., Times),
## 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery),
## 'fantasy' (e.g., Western), and 'monospace' (e.g., Courier). Each of
## these font families has a default list of font names in decreasing
## order of priority associated with them. When text.usetex is False,
## font.family may also be one or more concrete font names.
##
## The font.style property has three values: normal (or roman), italic
## or oblique. The oblique style will be used for italic, if it is not
## present.
##
## The font.variant property has two values: normal or small-caps. For
## TrueType fonts, which are scalable fonts, small-caps is equivalent
## to using a font size of 'smaller', or about 83%% of the current font
## size.
##
## The font.weight property has effectively 13 values: normal, bold,
## bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as
## 400, and bold is 700. bolder and lighter are relative values with
## respect to the current weight.
##
## The font.stretch property has 11 values: ultra-condensed,
## extra-condensed, condensed, semi-condensed, normal, semi-expanded,
## expanded, extra-expanded, ultra-expanded, wider, and narrower. This
## property is not currently implemented.
##
## The font.size property is the default font size for text, given in pts.
## 10 pt is the standard value.
font.family : sans-serif
font.style : normal
font.variant : normal
font.weight : normal
font.stretch : normal
## note that font.size controls default text sizes. To configure
## special text sizes tick labels, axes, labels, title, etc, see the rc
## 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 : 11.0
#font.serif : DejaVu Serif, Bitstream Vera Serif, Computer Modern Roman, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
font.sans-serif : Segoe UI, DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive
#font.fantasy : Comic Sans MS, Chicago, Charcoal, ImpactWestern, Humor Sans, xkcd, fantasy
#font.monospace : DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
#### TEXT
## text properties used by text.Text. See
## http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more
## information on text properties
text.color : white
#### AXES
## default face and edge color, default tick sizes,
## default fontsizes for ticklabels, and so on. See
## http://matplotlib.org/api/axes_api.html#module-matplotlib.axes
axes.facecolor : 0.2 ## axes background color
axes.edgecolor : white ## axes edge color
axes.linewidth : 1 ## edge linewidth
axes.grid : True ## display grid or not
#axes.grid.axis : both ## which axis the grid should apply to
#axes.grid.which : major ## gridlines at major, minor or both ticks
#axes.titlesize : large ## fontsize of the axes title
#axes.titleweight : normal ## font weight of title
#axes.titlepad : 6.0 ## pad between axes and title in points
#axes.labelsize : medium ## 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 : white
#axes.axisbelow : line ## draw axis gridlines and ticks below
## patches (True); above patches but below
## lines ('line'); or above all (False)
#axes.formatter.limits : -7, 7 ## use scientific notation if log10
## of the axis range is smaller than the
## first or larger than the second
#axes.formatter.use_locale : False ## When True, format tick labels
## according to the user's locale.
## For example, use ',' as a decimal
## separator in the fr_FR locale.
#axes.formatter.use_mathtext : False ## When True, use mathtext for scientific
## notation.
#axes.formatter.min_exponent: 0 ## minimum exponent to format in scientific notation
#axes.formatter.useoffset : True ## If True, the tick label formatter
## will default to labeling ticks relative
## to an offset when the data range is
## small compared to the minimum absolute
## value of the data.
#axes.formatter.offset_threshold : 4 ## When useoffset is True, the offset
## will be used when it can remove
## at least this number of significant
## digits from tick labels.
#axes.spines.left : True ## display axis spines
#axes.spines.bottom : True
#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', ['1f77b4', 'ff7f0e', '2ca02c', 'd62728', '9467bd', '8c564b', 'e377c2', '7f7f7f', 'bcbd22', '17becf'])
## color cycle for plot lines as list of string
## colorspecs: single letter, long name, or web-style hex
## Note the use of string escapes here ('1f77b4', instead of 1f77b4)
## as opposed to the rest of this file.
#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
#axes.xmargin : .05 ## x margin. See `axes.Axes.margins`
#axes.ymargin : .05 ## y margin See `axes.Axes.margins`
#polaraxes.grid : True ## display grid on polar axes
#axes3d.grid : True ## display grid on 3d axes
#### DATES
## These control the default format strings used in AutoDateFormatter.
## Any valid format datetime format string can be used (see the python
## `datetime` for details). For example using '%%x' will use the locale date representation
## '%%X' will use the locale time representation and '%%c' will use the full locale datetime
## representation.
## These values map to the scales:
## {'year': 365, 'month': 30, 'day': 1, 'hour': 1/24, 'minute': 1 / (24 * 60)}
date.autoformatter.year : %Y
date.autoformatter.month : %m/%Y
date.autoformatter.day : %d/%m/%Y
date.autoformatter.hour : %d-%m %H h
date.autoformatter.minute : %d %H:%M
date.autoformatter.second : %H:%M:%S
date.autoformatter.microsecond : %M:%S.%f
#### TICKS
## see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
#xtick.top : False ## draw ticks on the top side
#xtick.bottom : True ## draw ticks on the bottom side
#xtick.labeltop : False ## draw label on the top
#xtick.labelbottom : True ## draw label on the bottom
#xtick.major.size : 3.5 ## major tick size in points
#xtick.minor.size : 2 ## minor tick size in points
#xtick.major.width : 0.8 ## major tick width in points
#xtick.minor.width : 0.6 ## minor tick width in points
#xtick.major.pad : 3.5 ## distance to major tick label in points
#xtick.minor.pad : 3.4 ## distance to the minor tick label in points
xtick.color : white ## color of the tick labels
#xtick.labelsize : medium ## fontsize of the tick labels
#xtick.direction : out ## direction: in, out, or inout
#xtick.minor.visible : False ## visibility of minor ticks on x-axis
#xtick.major.top : True ## draw x axis top major ticks
#xtick.major.bottom : True ## draw x axis bottom major ticks
#xtick.minor.top : True ## draw x axis top minor ticks
#xtick.minor.bottom : True ## draw x axis bottom minor ticks
#xtick.alignment : center ## alignment of xticks
#ytick.left : True ## draw ticks on the left side
#ytick.right : False ## draw ticks on the right side
#ytick.labelleft : True ## draw tick labels on the left side
#ytick.labelright : False ## draw tick labels on the right side
#ytick.major.size : 3.5 ## major tick size in points
#ytick.minor.size : 2 ## minor tick size in points
#ytick.major.width : 0.8 ## major tick width in points
#ytick.minor.width : 0.6 ## minor tick width in points
#ytick.major.pad : 3.5 ## distance to major tick label in points
#ytick.minor.pad : 3.4 ## distance to the minor tick label in points
ytick.color : white ## color of the tick labels
#ytick.labelsize : medium ## fontsize of the tick labels
#ytick.direction : out ## direction: in, out, or inout
#ytick.minor.visible : False ## visibility of minor ticks on y-axis
#ytick.major.left : True ## draw y axis left major ticks
#ytick.major.right : True ## draw y axis right major ticks
#ytick.minor.left : True ## draw y axis left minor ticks
#ytick.minor.right : True ## draw y axis right minor ticks
#ytick.alignment : center_baseline ## alignment of yticks
#### GRIDS
#grid.color : white ## grid color
#grid.linestyle : - ## solid
#grid.linewidth : 0.8 ## in points
#grid.alpha : 1.0 ## transparency, between 0.0 and 1.0
#### Legend
#legend.loc : best
#legend.frameon : True ## if True, draw the legend on a background patch
#legend.framealpha : 0.8 ## legend patch transparency
#legend.facecolor : inherit ## inherit from axes.facecolor; or color spec
#legend.edgecolor : 0.8 ## background patch boundary color
#legend.fancybox : True ## if True, use a rounded box for the
## legend background, else a rectangle
#legend.shadow : False ## if True, give background a shadow effect
#legend.numpoints : 1 ## the number of marker points in the legend line
#legend.scatterpoints : 1 ## number of scatter points
#legend.markerscale : 1.0 ## the relative size of legend markers vs. original
#legend.fontsize : medium
#legend.title_fontsize : None ## None sets to the same as the default axes.
## Dimensions as fraction of fontsize:
#legend.borderpad : 0.4 ## border whitespace
#legend.labelspacing : 0.5 ## the vertical space between the legend entries
#legend.handlelength : 2.0 ## the length of the legend lines
#legend.handleheight : 0.7 ## the height of the legend handle
#legend.handletextpad : 0.8 ## the space between the legend line and legend text
#legend.borderaxespad : 0.5 ## the border between the axes and legend edge
#legend.columnspacing : 2.0 ## column separation
#### FIGURE
## See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure
#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 : 100 ## figure dots per inch
figure.facecolor : 0.1 ## figure facecolor
figure.edgecolor : 0.1 ## figure edgecolor
#figure.frameon : True ## enable figure frame
#figure.max_open_warning : 20 ## The maximum number of figures to open through
## the pyplot interface before emitting a warning.
## If less than one this feature is disabled.
## The figure subplot parameters. All dimensions are a fraction of the
#figure.subplot.left : 0.125 ## the left side of the subplots of the figure
#figure.subplot.right : 0.9 ## the right side of the subplots of the figure
#figure.subplot.bottom : 0.11 ## the bottom of the subplots of the figure
#figure.subplot.top : 0.88 ## the top of the subplots of the figure
#figure.subplot.wspace : 0.2 ## the amount of width reserved for space between subplots,
## expressed as a fraction of the average axis width
#figure.subplot.hspace : 0.2 ## the amount of height reserved for space between subplots,
## expressed as a fraction of the average axis height
## Figure layout
#figure.autolayout : False ## When True, automatically adjust subplot
## parameters to make the plot fit the figure
## using `tight_layout`
figure.constrained_layout.use: True ## When True, automatically make plot
## elements fit on the figure. (Not compatible
## with `autolayout`, above).
#figure.constrained_layout.h_pad : 0.04167 ## Padding around axes objects. Float representing
#figure.constrained_layout.w_pad : 0.04167 ## inches. Default is 3./72. inches (3 pts)
#figure.constrained_layout.hspace : 0.02 ## Space between subplot groups. Float representing
#figure.constrained_layout.wspace : 0.02 ## a fraction of the subplot widths being separated.
#### IMAGES
#image.aspect : equal ## equal | auto | a number
#image.interpolation : nearest ## see help(imshow) for options
#image.cmap : viridis ## A colormap name, gray etc...
#image.lut : 256 ## the size of the colormap lookup table
#image.origin : upper ## lower | upper
#image.resample : True
#image.composite_image : True ## When True, all the images on a set of axes are
## combined into a single composite image before
## saving a figure as a vector graphics file,
## such as a PDF.
#### CONTOUR PLOTS
#contour.negative_linestyle : dashed ## string or on-off ink sequence
#contour.corner_mask : True ## True | False | legacy
#### ERRORBAR PLOTS
#errorbar.capsize : 0 ## length of end cap on error bars in pixels
#### HISTOGRAM PLOTS
#hist.bins : 10 ## The default number of histogram bins.
## If Numpy 1.11 or later is
## installed, may also be `auto`
#### SCATTER PLOTS
#scatter.marker : o ## The default marker type for scatter plots.
#scatter.edgecolors : face ## The default edgecolors for scatter plots.
#### Agg rendering
#### Warning: experimental, 2008/10/10
#agg.path.chunksize : 0 ## 0 to disable; values in the range
## 10000 to 100000 can improve speed slightly
## and prevent an Agg rendering failure
## when plotting very large data sets,
## especially if they are very gappy.
## It may cause minor artifacts, though.
## A value of 20000 is probably a good
## starting point.
#### PATHS
#path.simplify : True ## When True, simplify paths by removing "invisible"
## points to reduce file size and increase rendering
## speed
#path.simplify_threshold : 0.111111111111 ## The threshold of similarity below which
## vertices will be removed in the
## simplification process
#path.snap : True ## When True, rectilinear axis-aligned paths will be snapped to
## the nearest pixel when certain criteria are met. When False,
## paths will never be snapped.
#path.sketch : None ## May be none, or a 3-tuple of the form (scale, length,
## randomness).
## *scale* is the amplitude of the wiggle
## perpendicular to the line (in pixels). *length*
## is the length of the wiggle along the line (in
## pixels). *randomness* is the factor by which
## the length is randomly scaled.
#path.effects : [] ##
## Event keys to interact with figures/plots via keyboard.
## Customize these settings according to your needs.
## Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')
#keymap.fullscreen : f, ctrl+f ## toggling
#keymap.home : h, r, home ## home or reset mnemonic
#keymap.back : left, c, backspace, MouseButton.BACK ## forward / backward keys
#keymap.forward : right, v, MouseButton.FORWARD ## for quick navigation
#keymap.pan : p ## pan mnemonic
#keymap.zoom : o ## zoom mnemonic
#keymap.save : s, ctrl+s ## saving current figure
#keymap.help : f1 ## display help about active tools
#keymap.quit : ctrl+w, cmd+w, q ## close the current figure
#keymap.quit_all : W, cmd+W, Q ## close all figures
#keymap.grid : g ## switching on/off major grids in current axes
#keymap.grid_minor : G ## switching on/off minor grids in current axes
#keymap.yscale : l ## toggle scaling of y-axes ('log'/'linear')
#keymap.xscale : k, L ## toggle scaling of x-axes ('log'/'linear')
#keymap.all_axes : a ## enable all axes
#keymap.copy : ctrl+c, cmd+c ## Copy figure to clipboard