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Diffstat (limited to '.config/matplotlib')
| -rw-r--r-- | .config/matplotlib/matplotlibrc | 628 |
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diff --git a/.config/matplotlib/matplotlibrc b/.config/matplotlib/matplotlibrc deleted file mode 100644 index 567f2fd..0000000 --- a/.config/matplotlib/matplotlibrc +++ /dev/null @@ -1,628 +0,0 @@ -# -*- 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. |