Skip to content
Snippets Groups Projects
Commit 31fb4e3b authored by Steinmann's avatar Steinmann
Browse files

added custum FST-style to plot cleaned up jypt

parent a7123ef1
No related branches found
No related tags found
No related merge requests found
Show whitespace changes
Inline Side-by-side
FST.mplstyle 0 → 100644
+ 687
− 0
View file @ 31fb4e3b
#### MATPLOTLIBRC FORMAT
## NOTE FOR END USERS: DO NOT EDIT THIS FILE!
##
## This is a sample matplotlib configuration file - you can copy it
## in your system in site-packages/matplotlib/mpl-data/stylelib/
## (which is related to your Python installation location).
##
## See https://matplotlib.org/stable/tutorials/introductory/customizing.html#the-matplotlibrc-file
## for more details on the paths which are checked for the configuration file.
##
## Blank lines, or lines starting with a comment symbol, are ignored, as are
## trailing comments. Other lines must have the format:
## key: val # optional comment
##
## Formatting: Use PEP8-like style (as enforced in the rest of the codebase).
## All lines start with an additional '#', so that removing all leading '#'s
## yields a valid style file.
##
## Colors: for the color values below, you can either use
## - a matplotlib color string, such as r, k, or b
## - an rgb tuple, such as (1.0, 0.5, 0.0)
## - a hex string, such as ff00ff
## - a scalar grayscale intensity such as 0.75
## - a legal html color name, e.g., red, blue, darkslategray
##
## Matplotlib configuration are currently divided into following parts:
## - LINES
## - PATCHES
## - HATCHES
## - BOXPLOT
## - FONT
## - TEXT
## - LaTeX
## - AXES
## - DATES
## - TICKS
## - GRIDS
## - LEGEND
## - FIGURE
## - IMAGES
## - CONTOUR PLOTS
## - ERRORBAR PLOTS
## - HISTOGRAM PLOTS
## - SCATTER PLOTS
## - AGG RENDERING
## - PATHS
## - SAVING FIGURES
## - INTERACTIVE KEYMAPS
## - ANIMATION
##### CONFIGURATION BEGINS HERE
## ***************************************************************************
## * LINES *
## ***************************************************************************
## See https://matplotlib.org/api/artist_api.html#module-matplotlib.lines
## for more information on line properties.
lines.linewidth: 0.75 # 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.markerfacecolor: auto # the default marker face color
lines.markeredgecolor: auto # the default marker edge color
lines.markeredgewidth: 1.0 # the line width around the marker symbol
lines.markersize: 6 # marker size, in points
lines.dash_joinstyle: round # {miter, round, bevel}
lines.dash_capstyle: butt # {butt, round, projecting}
lines.solid_joinstyle: round # {miter, round, bevel}
lines.solid_capstyle: projecting # {butt, round, projecting}
lines.antialiased: True # render lines in antialiased (no jaggies)
## The three standard dash patterns. These are scaled by the linewidth.
lines.dashed_pattern: 3.7, 1.6
lines.dashdot_pattern: 6.4, 1.6, 1, 1.6
lines.dotted_pattern: 1, 1.65
lines.scale_dashes: True
markers.fillstyle: full # {full, left, right, bottom, top, none}
pcolor.shading : flat
## ***************************************************************************
## * PATCHES *
## ***************************************************************************
## Patches are graphical objects that fill 2D space, like polygons or circles.
## See https://matplotlib.org/api/artist_api.html#module-matplotlib.patches
## for more information on patch properties.
patch.linewidth: 1 # edge width in points.
patch.facecolor: C0
patch.edgecolor: black # if forced, or patch is not filled
patch.force_edgecolor: False # True to always use edgecolor
patch.antialiased: True # render patches in antialiased (no jaggies)
## ***************************************************************************
## * HATCHES *
## ***************************************************************************
hatch.color: black
hatch.linewidth: 1.0
## ***************************************************************************
## * 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: black
boxplot.flierprops.marker: o
boxplot.flierprops.markerfacecolor: none
boxplot.flierprops.markeredgecolor: black
boxplot.flierprops.markeredgewidth: 1.0
boxplot.flierprops.markersize: 6
boxplot.flierprops.linestyle: none
boxplot.flierprops.linewidth: 1.0
boxplot.boxprops.color: black
boxplot.boxprops.linewidth: 1.0
boxplot.boxprops.linestyle: -
boxplot.whiskerprops.color: black
boxplot.whiskerprops.linewidth: 1.0
boxplot.whiskerprops.linestyle: -
boxplot.capprops.color: black
boxplot.capprops.linewidth: 1.0
boxplot.capprops.linestyle: -
boxplot.medianprops.color: C2
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 *
## ***************************************************************************
## The font properties used by `text.Text`.
## See https://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.
##
## 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.family: Verdana
font.style: normal
font.variant: normal
font.weight: normal
font.stretch: normal
font.size: 12.0
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: 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 Neue, 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 *
## ***************************************************************************
## The text properties used by `text.Text`.
## See https://matplotlib.org/api/artist_api.html#module-matplotlib.text
## for more information on text properties
text.color: black
## ***************************************************************************
## * LaTeX *
## ***************************************************************************
## For more information on LaTex properties, see
## https://matplotlib.org/tutorials/text/usetex.html
text.usetex: False # use latex for all text handling. The following fonts
# are supported through the usual rc parameter settings:
# new century schoolbook, bookman, times, palatino,
# zapf chancery, charter, serif, sans-serif, helvetica,
# avant garde, courier, monospace, computer modern roman,
# computer modern sans serif, computer modern typewriter
# If another font is desired which can loaded using the
# LaTeX \usepackage command, please inquire at the
# matplotlib mailing list
text.latex.preamble: # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
# AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
# IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
# text.latex.preamble is a single line of LaTeX code that
# will be passed on to the LaTeX system. It may contain
# any code that is valid for the LaTeX "preamble", i.e.
# between the "\documentclass" and "\begin{document}"
# statements.
# Note that it has to be put on a single line, which may
# become quite long.
# The following packages are always loaded with usetex, so
# beware of package collisions: color, geometry, graphicx,
# type1cm, textcomp.
# Adobe Postscript (PSSNFS) font packages may also be
# loaded, depending on your font settings.
## FreeType hinting flag ("foo" corresponds to FT_LOAD_FOO); may be one of the
## following (Proprietary Matplotlib-specific synonyms are given in parentheses,
## but their use is discouraged):
## - default: Use the font's native hinter if possible, else FreeType's auto-hinter.
## ("either" is a synonym).
## - no_autohint: Use the font's native hinter if possible, else don't hint.
## ("native" is a synonym.)
## - force_autohint: Use FreeType's auto-hinter. ("auto" is a synonym.)
## - no_hinting: Disable hinting. ("none" is a synonym.)
text.hinting: force_autohint
text.hinting_factor: 8 # Specifies the amount of softness for hinting in the
# horizontal direction. A value of 1 will hint to full
# pixels. A value of 2 will hint to half pixels etc.
text.kerning_factor : 0 # Specifies the scaling factor for kerning values. This
# is provided solely to allow old test images to remain
# unchanged. Set to 6 to obtain previous behavior. Values
# other than 0 or 6 have no defined meaning.
text.antialiased: True # If True (default), the text will be antialiased.
# This only affects the Agg backend.
## The following settings allow you to select the fonts in math mode.
#mathtext.fontset: dejavusans # Should be 'dejavusans' (default),
# 'dejavuserif', 'cm' (Computer Modern), 'stix',
# 'stixsans' or 'custom' (unsupported, may go
# away in the future)
## "mathtext.fontset: custom" is defined by the mathtext.bf, .cal, .it, ...
## settings which map a TeX font name to a fontconfig font pattern. (These
## settings are not used for other font sets.)
mathtext.bf: sans:bold
mathtext.cal: cursive
mathtext.it: sans:italic
mathtext.rm: sans
mathtext.sf: sans
mathtext.tt: monospace
mathtext.fallback: cm # Select fallback font from ['cm' (Computer Modern), 'stix'
# 'stixsans'] when a symbol can not be found in one of the
# custom math fonts. Select 'None' to not perform fallback
# and replace the missing character by a dummy symbol.
mathtext.default: regular # The default font to use for math. (default: it)
# Can be any of the LaTeX font names, including
# the special name "regular" for the same font
# used in regular text.
## ***************************************************************************
## * AXES *
## ***************************************************************************
## Following are default face and edge colors, default tick sizes,
## default fontsizes for ticklabels, and so on. See
## https://matplotlib.org/api/axes_api.html#module-matplotlib.axes
axes.facecolor: white # axes background color
axes.edgecolor: black # axes edge color
axes.linewidth: 0.75 # edge linewidth
axes.grid: False # display grid or not
axes.grid.axis: both # which axis the grid should apply to
axes.grid.which: major # gridlines at {major, minor, both} ticks
axes.titlelocation: center # alignment of the title: {left, right, center}
axes.titlesize: large # fontsize of the axes title
axes.titleweight: normal # font weight of title
axes.titlecolor: auto # color of the axes title, auto falls back to
# text.color as default value
axes.titley: None # position title (axes relative units). None implies auto
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: black
axes.axisbelow: line # draw axis gridlines and ticks:
# - below patches (True)
# - above patches but below lines ('line')
# - above all (False)
axes.formatter.limits: -5, 6 # 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: False
axes.spines.right: False
axes.unicode_minus: True # use Unicode for the minus symbol rather than hyphen. See
# https://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
axes.prop_cycle: cycler('color', ['004e73', 'fdca00' , 'e9503e', 'afcc50', '898989', '50b695', 'ee7a34', '000000ff'])
# color cycle for plot lines as list of string colorspecs:
# single letter, long name, or web-style hex
# As opposed to all other paramters in this file, the color
# values must be enclosed in quotes for this parameter,
# e.g. '1f77b4', instead of 1f77b4.
# See also https://matplotlib.org/tutorials/intermediate/color_cycle.html
# for more details on prop_cycle usage.
axes.autolimit_mode: data # How to scale axes limits to the data. By using:
# - "data" to use data limits, plus some margin
# - "round_numbers" 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
## ***************************************************************************
## * AXIS *
## ***************************************************************************
xaxis.labellocation: center # alignment of the xaxis label: {left, right, center}
yaxis.labellocation: center # alignment of the yaxis label: {bottom, top, center}
## ***************************************************************************
## * 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, by using:
## - '%%x' will use the locale date representation
## - '%%X' will use the locale time representation
## - '%%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: %Y-%m
date.autoformatter.day: %Y-%m-%d
date.autoformatter.hour: %m-%d %H
date.autoformatter.minute: %d %H:%M
date.autoformatter.second: %H:%M:%S
date.autoformatter.microsecond: %M:%S.%f
## ***************************************************************************
## * TICKS *
## ***************************************************************************
## See https://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: black # color of the tick labels
xtick.labelsize: medium # fontsize of the tick labels
xtick.direction: out # direction: {in, out, 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: black # color of the tick labels
ytick.labelsize: medium # fontsize of the tick labels
ytick.direction: out # direction: {in, out, 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: b0b0b0 # 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: False # 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 https://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: 6.69, 4.6 # figure size in inches default: 6.4, 4.8
figure.dpi: 220 # figure dots per inch
figure.facecolor: white # figure facecolor
figure.edgecolor: white # figure edgecolor
figure.frameon: True # enable figure frame
## 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: False # 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} or a number
image.interpolation: antialiased # 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}
contour.linewidth: None # {float, None} Size of the contour
# linewidths. If set to None,
# it falls back to `line.linewidth`.
## ***************************************************************************
## * 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.
## ***************************************************************************
## * 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:
## ***************************************************************************
## * SAVING FIGURES *
## ***************************************************************************
## The default savefig params can be different from the display params
## 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 facecolor when saving
savefig.edgecolor: auto # figure edgecolor when saving
savefig.format: png # {png, ps, pdf, svg}
savefig.bbox: standard # {tight, standard}
# 'tight' is incompatible with pipe-based animation
# backends (e.g. 'ffmpeg') but will work with those
# based on temporary files (e.g. 'ffmpeg_file')
savefig.pad_inches: 0.1 # Padding to be used when bbox is set to 'tight'
savefig.transparent: False # setting that controls whether figures are saved with a
# transparent background by default
savefig.orientation: portrait # Orientation of saved figure
### ps backend params
ps.papersize: letter # {auto, letter, legal, ledger, A0-A10, B0-B10}
ps.useafm: False # use of afm fonts, results in small files
ps.usedistiller: False # {ghostscript, xpdf, None}
# Experimental: may produce smaller files.
# xpdf intended for production of publication quality files,
# but requires ghostscript, xpdf and ps2eps
ps.distiller.res: 6000 # dpi
ps.fonttype: 3 # Output Type 3 (Type3) or Type 42 (TrueType)
### PDF backend params
pdf.compression: 6 # integer from 0 to 9
# 0 disables compression (good for debugging)
pdf.fonttype: 3 # Output Type 3 (Type3) or Type 42 (TrueType)
pdf.use14corefonts : False
pdf.inheritcolor: False
### SVG backend params
svg.image_inline: True # Write raster image data directly into the SVG file
svg.fonttype: path # How to handle SVG fonts:
# path: Embed characters as paths -- supported
# by most SVG renderers
# None: Assume fonts are installed on the
# machine where the SVG will be viewed.
svg.hashsalt: None # If not None, use this string as hash salt instead of uuid4
### pgf parameter
## See https://matplotlib.org/tutorials/text/pgf.html for more information.
pgf.rcfonts: True
pgf.preamble: # See text.latex.preamble for documentation
pgf.texsystem: xelatex
## ***************************************************************************
## * INTERACTIVE KEYMAPS *
## ***************************************************************************
## Event keys to interact with figures/plots via keyboard.
## See https://matplotlib.org/users/navigation_toolbar.html for more details on
## interactive navigation. 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: # 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.copy: ctrl+c, cmd+c # Copy figure to clipboard
## ***************************************************************************
## * ANIMATION *
## ***************************************************************************
animation.html: none # How to display the animation as HTML in
# the IPython notebook:
# - 'html5' uses HTML5 video tag
# - 'jshtml' creates a Javascript animation
animation.writer: ffmpeg # MovieWriter 'backend' to use
animation.codec: h264 # Codec to use for writing movie
animation.bitrate: -1 # Controls size/quality tradeoff for movie.
# -1 implies let utility auto-determine
animation.frame_format: png # Controls frame format used by temp files
animation.ffmpeg_path: ffmpeg # Path to ffmpeg binary. Without full path
# $PATH is searched
animation.ffmpeg_args: # Additional arguments to pass to ffmpeg
animation.convert_path: convert # Path to ImageMagick's convert binary.
# On Windows use the full path since convert
# is also the name of a system tool.
animation.convert_args: # Additional arguments to pass to convert
animation.embed_limit: 20.0 # Limit, in MB, of size of base64 encoded
# animation in HTML (i.e. IPython notebook)
Kennlinien_und_Fitting.ipynb
+ 16
− 101
View file @ 31fb4e3b
Source diff could not be displayed: it is too large. Options to address this: view the blob.
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment