plot style template added
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src/cristallina/cristallina_style.mplstyle
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src/cristallina/cristallina_style.mplstyle
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#### MATPLOTLIBRC FORMAT
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## ***************************************************************************
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## * LINES *
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## ***************************************************************************
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## See https://matplotlib.org/stable/api/artist_api.html#module-matplotlib.lines
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## for more information on line properties.
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#lines.linewidth: 1.5 # line width in points
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#lines.linestyle: - # solid line
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#lines.color: C0 # has no affect on plot(); see axes.prop_cycle
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#lines.marker: None # the default marker
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#lines.markerfacecolor: auto # the default marker face color
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#lines.markeredgecolor: auto # the default marker edge color
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#lines.markeredgewidth: 1.0 # the line width around the marker symbol
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#lines.markersize: 6 # marker size, in points
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#lines.dash_joinstyle: round # {miter, round, bevel}
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#lines.dash_capstyle: butt # {butt, round, projecting}
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#lines.solid_joinstyle: round # {miter, round, bevel}
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#lines.solid_capstyle: projecting # {butt, round, projecting}
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#lines.antialiased: True # render lines in antialiased (no jaggies)
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## The three standard dash patterns. These are scaled by the linewidth.
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#lines.dashed_pattern: 3.7, 1.6
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#lines.dashdot_pattern: 6.4, 1.6, 1, 1.6
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#lines.dotted_pattern: 1, 1.65
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#lines.scale_dashes: True
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#markers.fillstyle: full # {full, left, right, bottom, top, none}
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#pcolor.shading: auto
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#pcolormesh.snap: True # Whether to snap the mesh to pixel boundaries. This is
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# provided solely to allow old test images to remain
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# unchanged. Set to False to obtain the previous behavior.
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## ***************************************************************************
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## * PATCHES *
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## ***************************************************************************
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## Patches are graphical objects that fill 2D space, like polygons or circles.
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## See https://matplotlib.org/stable/api/artist_api.html#module-matplotlib.patches
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## for more information on patch properties.
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#patch.linewidth: 1.0 # edge width in points.
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#patch.facecolor: C0
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#patch.edgecolor: black # if forced, or patch is not filled
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#patch.force_edgecolor: False # True to always use edgecolor
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#patch.antialiased: True # render patches in antialiased (no jaggies)
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## ***************************************************************************
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## * HATCHES *
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## ***************************************************************************
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#hatch.color: black
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#hatch.linewidth: 1.0
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## ***************************************************************************
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## * FONT *
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## ***************************************************************************
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## The font properties used by `text.Text`.
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## See https://matplotlib.org/stable/api/font_manager_api.html for more information
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## on font properties. The 6 font properties used for font matching are
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## given below with their default values.
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##
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## The font.family property can take either a single or multiple entries of any
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## combination of concrete font names (not supported when rendering text with
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## usetex) or the following five generic values:
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## - 'serif' (e.g., Times),
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## - 'sans-serif' (e.g., Helvetica),
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## - 'cursive' (e.g., Zapf-Chancery),
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## - 'fantasy' (e.g., Western), and
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## - 'monospace' (e.g., Courier).
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## Each of these values has a corresponding default list of font names
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## (font.serif, etc.); the first available font in the list is used. Note that
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## for font.serif, font.sans-serif, and font.monospace, the first element of
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## the list (a DejaVu font) will always be used because DejaVu is shipped with
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## Matplotlib and is thus guaranteed to be available; the other entries are
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## left as examples of other possible values.
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##
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## The font.style property has three values: normal (or roman), italic
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## or oblique. The oblique style will be used for italic, if it is not
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## present.
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##
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## The font.variant property has two values: normal or small-caps. For
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## TrueType fonts, which are scalable fonts, small-caps is equivalent
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## to using a font size of 'smaller', or about 83 % of the current font
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## size.
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##
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## The font.weight property has effectively 13 values: normal, bold,
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## bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as
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## 400, and bold is 700. bolder and lighter are relative values with
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## respect to the current weight.
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##
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## The font.stretch property has 11 values: ultra-condensed,
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## extra-condensed, condensed, semi-condensed, normal, semi-expanded,
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## expanded, extra-expanded, ultra-expanded, wider, and narrower. This
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## property is not currently implemented.
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##
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## The font.size property is the default font size for text, given in points.
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## 10 pt is the standard value.
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##
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## Note that font.size controls default text sizes. To configure
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## special text sizes tick labels, axes, labels, title, etc., see the rc
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## settings for axes and ticks. Special text sizes can be defined
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## relative to font.size, using the following values: xx-small, x-small,
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## small, medium, large, x-large, xx-large, larger, or smaller
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font.family: sans-serif
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#font.style: normal
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#font.variant: normal
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#font.weight: normal
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#font.stretch: normal
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#font.size: 10.0
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#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
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font.sans-serif: Roboto, DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
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#font.cursive: Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, Comic Neue, Comic Sans MS, cursive
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#font.fantasy: Chicago, Charcoal, Impact, Western, xkcd script, fantasy
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#font.monospace: DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
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## ***************************************************************************
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## * TEXT *
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## ***************************************************************************
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## The text properties used by `text.Text`.
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## See https://matplotlib.org/stable/api/artist_api.html#module-matplotlib.text
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## for more information on text properties
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#text.color: black
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## FreeType hinting flag ("foo" corresponds to FT_LOAD_FOO); may be one of the
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## following (Proprietary Matplotlib-specific synonyms are given in parentheses,
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## but their use is discouraged):
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## - default: Use the font's native hinter if possible, else FreeType's auto-hinter.
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## ("either" is a synonym).
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## - no_autohint: Use the font's native hinter if possible, else don't hint.
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## ("native" is a synonym.)
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## - force_autohint: Use FreeType's auto-hinter. ("auto" is a synonym.)
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## - no_hinting: Disable hinting. ("none" is a synonym.)
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#text.hinting: force_autohint
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#text.hinting_factor: 8 # Specifies the amount of softness for hinting in the
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# horizontal direction. A value of 1 will hint to full
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# pixels. A value of 2 will hint to half pixels etc.
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#text.kerning_factor: 0 # Specifies the scaling factor for kerning values. This
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# is provided solely to allow old test images to remain
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# unchanged. Set to 6 to obtain previous behavior.
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# Values other than 0 or 6 have no defined meaning.
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#text.antialiased: True # If True (default), the text will be antialiased.
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# This only affects raster outputs.
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#text.parse_math: True # Use mathtext if there is an even number of unescaped
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# dollar signs.
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## ***************************************************************************
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## * LaTeX *
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## ***************************************************************************
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## For more information on LaTeX properties, see
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## https://matplotlib.org/stable/users/explain/text/usetex.html
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#text.usetex: False # use latex for all text handling. The following fonts
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# are supported through the usual rc parameter settings:
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# new century schoolbook, bookman, times, palatino,
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# zapf chancery, charter, serif, sans-serif, helvetica,
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# avant garde, courier, monospace, computer modern roman,
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# computer modern sans serif, computer modern typewriter
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#text.latex.preamble: # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
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# AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
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# IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
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# text.latex.preamble is a single line of LaTeX code that
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# will be passed on to the LaTeX system. It may contain
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# any code that is valid for the LaTeX "preamble", i.e.
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# between the "\documentclass" and "\begin{document}"
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# statements.
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# Note that it has to be put on a single line, which may
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# become quite long.
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# The following packages are always loaded with usetex,
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# so beware of package collisions:
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# geometry, inputenc, type1cm.
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# PostScript (PSNFSS) font packages may also be
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# loaded, depending on your font settings.
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## The following settings allow you to select the fonts in math mode.
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#mathtext.fontset: dejavusans # Should be 'dejavusans' (default),
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# 'dejavuserif', 'cm' (Computer Modern), 'stix',
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# 'stixsans' or 'custom'
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## "mathtext.fontset: custom" is defined by the mathtext.bf, .cal, .it, ...
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## settings which map a TeX font name to a fontconfig font pattern. (These
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## settings are not used for other font sets.)
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#mathtext.bf: sans:bold
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#mathtext.bfit: sans:italic:bold
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#mathtext.cal: cursive
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#mathtext.it: sans:italic
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#mathtext.rm: sans
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#mathtext.sf: sans
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#mathtext.tt: monospace
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#mathtext.fallback: cm # Select fallback font from ['cm' (Computer Modern), 'stix'
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# 'stixsans'] when a symbol cannot be found in one of the
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# custom math fonts. Select 'None' to not perform fallback
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# and replace the missing character by a dummy symbol.
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#mathtext.default: it # The default font to use for math.
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# Can be any of the LaTeX font names, including
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# the special name "regular" for the same font
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# used in regular text.
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## ***************************************************************************
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## * AXES *
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## ***************************************************************************
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## Following are default face and edge colors, default tick sizes,
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## default font sizes for tick labels, and so on. See
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## https://matplotlib.org/stable/api/axes_api.html#module-matplotlib.axes
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#axes.facecolor: white # axes background color
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#axes.edgecolor: black # axes edge color
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#axes.linewidth: 0.8 # edge line width
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#axes.grid: False # display grid or not
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#axes.grid.axis: both # which axis the grid should apply to
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#axes.grid.which: major # grid lines at {major, minor, both} ticks
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#axes.titlelocation: center # alignment of the title: {left, right, center}
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#axes.titlesize: large # font size of the axes title
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#axes.titleweight: normal # font weight of title
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#axes.titlecolor: auto # color of the axes title, auto falls back to
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# text.color as default value
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#axes.titley: None # position title (axes relative units). None implies auto
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#axes.titlepad: 6.0 # pad between axes and title in points
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#axes.labelsize: medium # font size of the x and y labels
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#axes.labelpad: 4.0 # space between label and axis
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#axes.labelweight: normal # weight of the x and y labels
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#axes.labelcolor: black
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#axes.axisbelow: line # draw axis gridlines and ticks:
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# - below patches (True)
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# - above patches but below lines ('line')
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# - above all (False)
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#axes.formatter.limits: -5, 6 # use scientific notation if log10
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# of the axis range is smaller than the
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# first or larger than the second
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#axes.formatter.use_locale: False # When True, format tick labels
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# according to the user's locale.
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# For example, use ',' as a decimal
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# separator in the fr_FR locale.
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#axes.formatter.use_mathtext: False # When True, use mathtext for scientific
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# notation.
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#axes.formatter.min_exponent: 0 # minimum exponent to format in scientific notation
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#axes.formatter.useoffset: True # If True, the tick label formatter
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# will default to labeling ticks relative
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# to an offset when the data range is
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# small compared to the minimum absolute
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# value of the data.
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#axes.formatter.offset_threshold: 4 # When useoffset is True, the offset
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# will be used when it can remove
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# at least this number of significant
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# digits from tick labels.
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#axes.spines.left: True # display axis spines
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#axes.spines.bottom: True
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#axes.spines.top: True
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#axes.spines.right: True
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#axes.unicode_minus: True # use Unicode for the minus symbol rather than hyphen. See
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# https://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
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#axes.prop_cycle: cycler('color', ['1f77b4', 'ff7f0e', '2ca02c', 'd62728', '9467bd', '8c564b', 'e377c2', '7f7f7f', 'bcbd22', '17becf'])
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# color cycle for plot lines as list of string color specs:
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# single letter, long name, or web-style hex
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# As opposed to all other parameters in this file, the color
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# values must be enclosed in quotes for this parameter,
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# e.g. '1f77b4', instead of 1f77b4.
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# See also https://matplotlib.org/stable/users/explain/artists/color_cycle.html
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# for more details on prop_cycle usage.
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#axes.xmargin: .05 # x margin. See `axes.Axes.margins`
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#axes.ymargin: .05 # y margin. See `axes.Axes.margins`
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#axes.zmargin: .05 # z margin. See `axes.Axes.margins`
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#axes.autolimit_mode: data # If "data", use axes.xmargin and axes.ymargin as is.
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# If "round_numbers", after application of margins, axis
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# limits are further expanded to the nearest "round" number.
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#polaraxes.grid: True # display grid on polar axes
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#axes3d.grid: True # display grid on 3D axes
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#axes3d.xaxis.panecolor: (0.95, 0.95, 0.95, 0.5) # background pane on 3D axes
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#axes3d.yaxis.panecolor: (0.90, 0.90, 0.90, 0.5) # background pane on 3D axes
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#axes3d.zaxis.panecolor: (0.925, 0.925, 0.925, 0.5) # background pane on 3D axes
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## ***************************************************************************
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## * AXIS *
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## ***************************************************************************
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#xaxis.labellocation: center # alignment of the xaxis label: {left, right, center}
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#yaxis.labellocation: center # alignment of the yaxis label: {bottom, top, center}
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## ***************************************************************************
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## * DATES *
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## ***************************************************************************
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## These control the default format strings used in AutoDateFormatter.
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## Any valid format datetime format string can be used (see the python
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## `datetime` for details). For example, by using:
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## - '%x' will use the locale date representation
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## - '%X' will use the locale time representation
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## - '%c' will use the full locale datetime representation
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## These values map to the scales:
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## {'year': 365, 'month': 30, 'day': 1, 'hour': 1/24, 'minute': 1 / (24 * 60)}
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#date.autoformatter.year: %Y
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#date.autoformatter.month: %Y-%m
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#date.autoformatter.day: %Y-%m-%d
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#date.autoformatter.hour: %m-%d %H
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#date.autoformatter.minute: %d %H:%M
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#date.autoformatter.second: %H:%M:%S
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#date.autoformatter.microsecond: %M:%S.%f
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## The reference date for Matplotlib's internal date representation
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## See https://matplotlib.org/stable/gallery/ticks/date_precision_and_epochs.html
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#date.epoch: 1970-01-01T00:00:00
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## 'auto', 'concise':
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#date.converter: auto
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## For auto converter whether to use interval_multiples:
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#date.interval_multiples: True
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## ***************************************************************************
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## * TICKS *
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## ***************************************************************************
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## See https://matplotlib.org/stable/api/axis_api.html#matplotlib.axis.Tick
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#xtick.top: False # draw ticks on the top side
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#xtick.bottom: True # draw ticks on the bottom side
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#xtick.labeltop: True # draw label on the top
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#xtick.labelbottom: True # draw label on the bottom
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#xtick.major.size: 3.5 # major tick size in points
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#xtick.minor.size: 2 # minor tick size in points
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#xtick.major.width: 0.8 # major tick width in points
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#xtick.minor.width: 0.6 # minor tick width in points
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#xtick.major.pad: 3.5 # distance to major tick label in points
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#xtick.minor.pad: 3.4 # distance to the minor tick label in points
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#xtick.color: black # color of the ticks
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#xtick.labelcolor: inherit # color of the tick labels or inherit from xtick.color
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#xtick.labelsize: medium # font size of the tick labels
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xtick.direction: in # direction: {in, out, inout}
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#xtick.minor.visible: False # visibility of minor ticks on x-axis
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xtick.major.top: True # draw x axis top major ticks
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xtick.major.bottom: True # draw x axis bottom major ticks
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#xtick.minor.top: True # draw x axis top minor ticks
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#xtick.minor.bottom: True # draw x axis bottom minor ticks
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#xtick.minor.ndivs: auto # number of minor ticks between the major ticks on x-axis
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#xtick.alignment: center # alignment of xticks
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ytick.left: True # draw ticks on the left side
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ytick.right: True # draw ticks on the right side
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#ytick.labelleft: True # draw tick labels on the left side
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#ytick.labelright: False # draw tick labels on the right side
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#ytick.major.size: 3.5 # major tick size in points
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#ytick.minor.size: 2 # minor tick size in points
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#ytick.major.width: 0.8 # major tick width in points
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#ytick.minor.width: 0.6 # minor tick width in points
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#ytick.major.pad: 3.5 # distance to major tick label in points
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#ytick.minor.pad: 3.4 # distance to the minor tick label in points
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#ytick.color: black # color of the ticks
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#ytick.labelcolor: inherit # color of the tick labels or inherit from ytick.color
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#ytick.labelsize: medium # font size of the tick labels
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ytick.direction: in # direction: {in, out, inout}
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#ytick.minor.visible: False # visibility of minor ticks on y-axis
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#ytick.major.left: True # draw y axis left major ticks
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#ytick.major.right: True # draw y axis right major ticks
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#ytick.minor.left: True # draw y axis left minor ticks
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#ytick.minor.right: True # draw y axis right minor ticks
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#ytick.minor.ndivs: auto # number of minor ticks between the major ticks on y-axis
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#ytick.alignment: center_baseline # alignment of yticks
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## ***************************************************************************
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## * GRIDS *
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## ***************************************************************************
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#grid.color: "#b0b0b0" # grid color
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#grid.linestyle: - # solid
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#grid.linewidth: 0.8 # in points
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#grid.alpha: 1.0 # transparency, between 0.0 and 1.0
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## ***************************************************************************
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## * LEGEND *
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## ***************************************************************************
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#legend.loc: best
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#legend.frameon: True # if True, draw the legend on a background patch
|
||||
legend.framealpha: 1 # 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: small
|
||||
#legend.labelcolor: None
|
||||
#legend.title_fontsize: None # None sets to the same as the default axes.
|
||||
|
||||
## Dimensions as fraction of font size:
|
||||
#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 https://matplotlib.org/stable/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.labelsize: large # size of the figure label (``Figure.sup[x|y]label()``)
|
||||
#figure.labelweight: normal # weight of the figure label
|
||||
#figure.figsize: 6.4, 4.8 # figure size in inches
|
||||
figure.dpi: 110 # figure dots per inch
|
||||
#figure.facecolor: white # figure face color
|
||||
#figure.edgecolor: white # figure edge color
|
||||
#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.
|
||||
#figure.raise_window : True # Raise the GUI window to front when show() is called.
|
||||
|
||||
## The figure subplot parameters. All dimensions are a fraction of the figure width and height.
|
||||
#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).
|
||||
## Padding (in inches) around axes; defaults to 3/72 inches, i.e. 3 points.
|
||||
#figure.constrained_layout.h_pad: 0.04167
|
||||
#figure.constrained_layout.w_pad: 0.04167
|
||||
## Spacing between subplots, relative to the subplot sizes. Much smaller than for
|
||||
## tight_layout (figure.subplot.hspace, figure.subplot.wspace) as constrained_layout
|
||||
## already takes surrounding texts (titles, labels, # ticklabels) into account.
|
||||
#figure.constrained_layout.hspace: 0.02
|
||||
#figure.constrained_layout.wspace: 0.02
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * IMAGES *
|
||||
## ***************************************************************************
|
||||
#image.aspect: equal # {equal, auto} or a number
|
||||
#image.interpolation: antialiased # see help(imshow) for options
|
||||
#image.cmap: viridis # A colormap name (plasma, magma, 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}
|
||||
#contour.linewidth: None # {float, None} Size of the contour line
|
||||
# widths. If set to None, it falls back to
|
||||
# `line.linewidth`.
|
||||
#contour.algorithm: mpl2014 # {mpl2005, mpl2014, serial, threaded}
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * 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 or 'auto'.
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * SCATTER PLOTS *
|
||||
## ***************************************************************************
|
||||
#scatter.marker: o # The default marker type for scatter plots.
|
||||
#scatter.edgecolors: face # The default edge colors for scatter plots.
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * 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:
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * SAVING FIGURES *
|
||||
## ***************************************************************************
|
||||
## The default savefig parameters can be different from the display parameters
|
||||
## e.g., you may want a higher resolution, or to make the figure
|
||||
## background white
|
||||
#savefig.dpi: figure # figure dots per inch or 'figure'
|
||||
#savefig.facecolor: auto # figure face color when saving
|
||||
#savefig.edgecolor: auto # figure edge color when saving
|
||||
#savefig.format: png # {png, ps, pdf, svg}
|
||||
#savefig.bbox: standard # {tight, standard}
|
||||
# 'tight' is incompatible with generating frames
|
||||
# for animation
|
||||
#savefig.pad_inches: 0.1 # padding to be used, when bbox is set to 'tight'
|
||||
#savefig.directory: ~ # default directory in savefig dialog, gets updated after
|
||||
# interactive saves, unless set to the empty string (i.e.
|
||||
# the current directory); use '.' to start at the current
|
||||
# directory but update after interactive saves
|
||||
#savefig.transparent: False # whether figures are saved with a transparent
|
||||
# background by default
|
||||
#savefig.orientation: portrait # orientation of saved figure, for PostScript output only
|
||||
@@ -21,6 +21,8 @@ import jungfrau_utils as ju
|
||||
from . import utils
|
||||
from .utils import ROI
|
||||
|
||||
# setup style sheet
|
||||
plt.style.use("cristallina.cristallina_style")
|
||||
|
||||
def ju_patch_less_verbose(ju_module):
|
||||
"""Quick monkey patch to suppress verbose messages from gain & pedestal file searcher."""
|
||||
|
||||
Reference in New Issue
Block a user