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diff --git a/.config/matplotlib/matplotlibrc b/.config/matplotlib/matplotlibrc new file mode 100644 index 0000000..567f2fd --- /dev/null +++ b/.config/matplotlib/matplotlibrc @@ -0,0 +1,628 @@ +# -*- mode: conf-colon -*- +### MATPLOTLIBRC FORMAT + +# This is a sample matplotlib configuration file - you can find a copy +# of it on your system in +# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it +# there, please note that it will be overwritten in your next install. +# If you want to keep a permanent local copy that will not be +# overwritten, place it in the following location: +# unix/linux: +# $HOME/.config/matplotlib/matplotlibrc or +# $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set) +# other platforms: +# $HOME/.matplotlib/matplotlibrc +# +# See http://matplotlib.org/users/customizing.html#the-matplotlibrc-file for +# more details on the paths which are checked for the configuration file. +# +# This file is best viewed in a editor which supports python mode +# syntax highlighting. 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 +# +# 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 + +#### CONFIGURATION BEGINS HERE + +# The default backend; one of GTK GTKAgg GTKCairo GTK3Agg GTK3Cairo +# MacOSX Qt4Agg Qt5Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG +# Template. +# You can also deploy your own backend outside of matplotlib by +# referring to the module name (which must be in the PYTHONPATH) as +# 'module://my_backend'. +backend : Qt5Agg + +# If you are using the Qt4Agg backend, you can choose here +# to use the PyQt4 bindings or the newer PySide bindings to +# the underlying Qt4 toolkit. +#backend.qt4 : PyQt4 # PyQt4 | PySide + +# Note that this can be overridden by the environment variable +# QT_API used by Enthought Tool Suite (ETS); valid values are +# "pyqt" and "pyside". The "pyqt" setting has the side effect of +# forcing the use of Version 2 API for QString and QVariant. + +# The port to use for the web server in the WebAgg backend. +# webagg.port : 8888 + +# If webagg.port is unavailable, a number of other random ports will +# be tried until one that is available is found. +# webagg.port_retries : 50 + +# When True, open the webbrowser to the plot that is shown +# webagg.open_in_browser : True + +# When True, the figures rendered in the nbagg backend are created with +# a transparent background. +# nbagg.transparent : False + +# if you are running pyplot inside a GUI and your backend choice +# conflicts, we will automatically try to find a compatible one for +# you if backend_fallback is True +#backend_fallback: True + +#interactive : False +#toolbar : toolbar2 # None | toolbar2 ("classic" is deprecated) +#timezone : UTC # a pytz timezone string, e.g., US/Central or Europe/Paris + +# Where your matplotlib data lives if you installed to a non-default +# location. This is where the matplotlib fonts, bitmaps, etc reside +#datapath : /home/jdhunter/mpldata + + +### LINES +# See http://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more +# information on line properties. +#lines.linewidth : 1.5 # line width in points +#lines.linestyle : - # solid line +#lines.color : C0 # has no affect on plot(); see axes.prop_cycle +#lines.marker : None # the default marker +#lines.markeredgewidth : 1.0 # the line width around the marker symbol +#lines.markersize : 6 # markersize, in points +#lines.dash_joinstyle : miter # miter|round|bevel +#lines.dash_capstyle : butt # butt|round|projecting +#lines.solid_joinstyle : miter # 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 : 2.8, 1.2 +#lines.dashdot_pattern : 4.8, 1.2, 0.8, 1.2 +#lines.dotted_pattern : 1.1, 1.1 +#lines.scale_dashes : True + +#markers.fillstyle: full # full|left|right|bottom|top|none + +### PATCHES +# Patches are graphical objects that fill 2D space, like polygons or +# circles. See +# http://matplotlib.org/api/artist_api.html#module-matplotlib.patches +# 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 : k +#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 : 'k' +#boxplot.flierprops.marker : 'o' +#boxplot.flierprops.markerfacecolor : 'none' +#boxplot.flierprops.markeredgecolor : 'k' +#boxplot.flierprops.markersize : 6 +#boxplot.flierprops.linestyle : 'none' +#boxplot.flierprops.linewidth : 1.0 + +#boxplot.boxprops.color : 'k' +#boxplot.boxprops.linewidth : 1.0 +#boxplot.boxprops.linestyle : '-' + +#boxplot.whiskerprops.color : 'k' +#boxplot.whiskerprops.linewidth : 1.0 +#boxplot.whiskerprops.linestyle : '-' + +#boxplot.capprops.color : 'k' +#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 : 'none' +#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 : medium +#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 : 14.0 +#font.serif : DejaVu Serif, Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif +#font.sans-serif : DejaVu Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif +#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive +#font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, Humor Sans, xkcd, fantasy +#font.monospace : DejaVu Sans Mono, Bitstream Vera Sans Mono, 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 : black + +### LaTeX customizations. See http://wiki.scipy.org/Cookbook/Matplotlib/UsingTex +#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.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling + # unicode strings. +#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. + # preamble is a comma separated list of LaTeX statements + # that are included in the LaTeX document preamble. + # An example: + # text.latex.preamble : \usepackage{bm},\usepackage{euler} + # 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 + +#text.dvipnghack : None # some versions of dvipng don't handle alpha + # channel properly. Use True to correct + # and flush ~/.matplotlib/tex.cache + # before testing and False to force + # correction off. None will try and + # guess based on your dvipng version + +#text.hinting : auto # May be one of the following: + # 'none': Perform no hinting + # 'auto': Use FreeType's autohinter + # 'native': Use the hinting information in the + # font file, if available, and if your + # FreeType library supports it + # 'either': Use the native hinting information, + # or the autohinter if none is available. + # For backward compatibility, this value may also be + # True === 'auto' or False === 'none'. +#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.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. +# They map from a TeX font name to a fontconfig font pattern. +# These settings are only used if mathtext.fontset is 'custom'. +# Note that this "custom" mode is unsupported and may go away in the +# future. +#mathtext.cal : cursive +#mathtext.rm : serif +#mathtext.tt : monospace +#mathtext.it : serif:italic +#mathtext.bf : serif:bold +#mathtext.sf : sans +mathtext.fontset : cm # Should be 'dejavusans' (default), + # 'dejavuserif', 'cm' (Computer Modern), 'stix', + # 'stixsans' or 'custom' +#mathtext.fallback_to_cm : True # When True, use symbols from the Computer Modern + # fonts when a symbol can not be found in one of + # the custom math fonts. + +#mathtext.default : it # The default font to use for math. + # Can be any of the LaTeX font names, including + # the special name "regular" for the same font + # used in regular text. + +### 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 : white # axes background color +#axes.edgecolor : black # axes edge color +#axes.linewidth : 0.8 # edge linewidth +axes.grid : True # display grid or not +#axes.titlesize : large # fontsize of the axes title +#axes.titlepad : 6.0 # pad between axes and title in points +#axes.labelsize : 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'); 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.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 +#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 : %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 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.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 : k # color of the tick labels +#xtick.labelsize : medium # fontsize of the tick labels +#xtick.direction : out # direction: in, out, or inout +xtick.minor.visible : True # 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 + +#ytick.left : True # draw ticks on the left side +#ytick.right : False # draw ticks 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 : k # color of the tick labels +#ytick.labelsize : medium # fontsize of the tick labels +#ytick.direction : out # direction: in, out, or inout +ytick.minor.visible : True # visibility of minor ticks on y-axis +#xtick.major.left : True # draw y axis left major ticks +#xtick.major.right : True # draw y axis right major ticks +#xtick.minor.left : True # draw y axis left minor ticks +#xtick.minor.right : True # draw y axis right minor ticks + + +### 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 : 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 +# 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 : 8, 6 # figure size in inches +figure.dpi : 120 # figure dots per inch +#figure.facecolor : white # figure facecolor; 0.75 is scalar gray +#figure.edgecolor : white # figure edgecolor +#figure.autolayout : True # When True, automatically adjust subplot + # parameters to make the plot fit the figure +#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 blank space between subplots, + # expressed as a fraction of the average axis width +#figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots, + # expressed as a fraction of the average axis height + + +### 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 # dashed | solid +#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. + +### 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. +### SAVING FIGURES +#path.simplify : True # When True, simplify paths by removing "invisible" + # points to reduce file size and increase rendering + # speed +#path.simplify_threshold : 0.1 # 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. + +# 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 : white # figure facecolor when saving +#savefig.edgecolor : white # figure edgecolor when saving +#savefig.format : png # png, ps, pdf, svg +savefig.bbox : tight # 'tight' or 'standard'. + # 'tight' is incompatible with pipe-based animation + # backends but will workd with temporary file based ones: + # e.g. setting animation.writer to ffmpeg will not work, + # use ffmpeg_file instead +savefig.pad_inches : 0.05 # Padding to be used when bbox is set to 'tight' +#savefig.jpeg_quality: 95 # when a jpeg is saved, the default quality parameter. +#savefig.directory : ~ # default directory in savefig dialog box, + # leave empty to always use current working directory +#savefig.transparent : False # setting that controls whether figures are saved with a + # transparent background by default + +# tk backend params +#tk.window_focus : False # Maintain shell focus for TkAgg + +# 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 # can be: None, ghostscript or xpdf + # 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) + +# svg backend params +#svg.image_inline : True # write raster image data directly into the svg file +#svg.fonttype : 'path' # How to handle SVG fonts: +# 'none': Assume fonts are installed on the machine where the SVG will be viewed. +# 'path': Embed characters as paths -- supported by most SVG renderers +# 'svgfont': Embed characters as SVG fonts -- supported only by Chrome, +# Opera and Safari +#svg.hashsalt : None # if not None, use this string as hash salt + # instead of uuid4 + +# docstring params +#docstring.hardcopy = False # set this when you want to generate hardcopy docstring + +# Set the verbose flags. This controls how much information +# matplotlib gives you at runtime and where it goes. The verbosity +# levels are: silent, helpful, debug, debug-annoying. Any level is +# inclusive of all the levels below it. If your setting is "debug", +# you'll get all the debug and helpful messages. When submitting +# problems to the mailing-list, please set verbose to "helpful" or "debug" +# and paste the output into your report. +# +# The "fileo" gives the destination for any calls to verbose.report. +# These objects can a filename, or a filehandle like sys.stdout. +# +# You can override the rc default verbosity from the command line by +# giving the flags --verbose-LEVEL where LEVEL is one of the legal +# levels, e.g., --verbose-helpful. +# +# You can access the verbose instance in your code +# from matplotlib import verbose. +#verbose.level : silent # one of silent, helpful, debug, debug-annoying +#verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr + +# 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 # forward / backward keys to enable +#keymap.forward : right, v # left handed quick navigation +#keymap.pan : p # pan mnemonic +#keymap.zoom : o # zoom mnemonic +#keymap.save : s # saving current figure +#keymap.quit : ctrl+w, cmd+w # close the current figure +#keymap.grid : g # switching on/off a grid in current axes +#keymap.yscale : l # toggle scaling of y-axes ('log'/'linear') +#keymap.xscale : L, k # toggle scaling of x-axes ('log'/'linear') +#keymap.all_axes : a # enable all axes + +# Control location of examples data files +#examples.directory : '' # directory to look in for custom installation + +###ANIMATION settings +#animation.html : 'none' # How to display the animation as HTML in + # the IPython notebook. 'html5' uses + # HTML5 video tag. +#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.avconv_path: 'avconv' # Path to avconv binary. Without full path + # $PATH is searched +#animation.avconv_args: '' # Additional arguments to pass to avconv +#animation.mencoder_path: 'mencoder' + # Path to mencoder binary. Without full path + # $PATH is searched +#animation.mencoder_args: '' # Additional arguments to pass to mencoder +#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. |