Issue 1:
Bug report

Bug summary

Bad resolution and placement of colorbar background.

The background of the colorbar looks ugly rectangular and displaced.

(There is even one more thing which is the font of the first tick label which is different, but this is not what is considered here).

Code for reproduction

import matplotlib.pyplot as plt

plt.scatter([1,2,3],[3,4,5], c=[5,6,7])
plt.style.use("stas.mplstyle")
plt.gcf().set_size_inches(8 / 2.54 , 6 / 2.54)
plt.colorbar(extend="max")
plt.savefig("plot.pdf")

Result Plot

Matplotlib version

Operating system: Arch Linux 64 Bit

Matplotlib version: '3.0.0rc1+687.ga43fd8592.dirty'

Matplotlib backend (print(matplotlib.get_backend())): Qt5Agg

Python version: Python 3.7.0 (default, Sep 15 2018, 19:13:07)

Installed via pacaur on from AUR: matplotlib-git

stas.mplstyle

### 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 : Cairo

# 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 : 0.5 # line width in points
lines.linestyle : None # solid line
lines.color : 0072bd # 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 : 3 # 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 : False

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 : serif
font.style : normal
font.variant : normal
font.weight : 100
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 : 8.0
font.serif : CMU 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 : CMU Sans # 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 : CMU Mono # 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 : 000000

### LaTeX customizations. See http://wiki.scipy.org/Cookbook/Matplotlib/UsingTex
text.usetex : True # 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 : True # use "ucs" and "inputenc" LaTeX packages for handling
# unicode strings.
text.latex.preamble : \usepackage{ucs},\usepackage{inputenc},\usepackage{scalerel},\usepackage{mycommands}
#,\usepackage{bm},\usepackage[bold-style=ISO]{unicode-math},\setmathfont{latinmodern-math.otf},\setmathfont[range=\mathbb]{TeX Gyre Termes Math}
# 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 : rm # 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 : 000000 # axes edge color
axes.linewidth : 0.5 # 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 : 2.0 # space between label and axis
#axes.labelweight : normal # weight of the x and y labels
axes.labelcolor : 000000
axes.axisbelow : True # whether axis gridlines and ticks are below
# the axes elements (lines, text, etc)

#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', ['0072bd', 'a2142f', '77ac30', 'd95319' ,'edb120' , '7e2f8e', '4dbeee', '42647b', '76404a', '718458', '916f61', 'a79466', '655469', '89a6b2' ])
# 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 : 0.03 # x margin. See `axes.Axes.margins`
axes.ymargin : 0.03 # 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 : 2 # major tick size in points
xtick.minor.size : 1.0 # minor tick size in points
xtick.major.width : 0.5 # major tick width in points
xtick.minor.width : 0.5 # minor tick width in points
xtick.major.pad : 2 # distance to major tick label in points
xtick.minor.pad : 2 # distance to the minor tick label in points
xtick.color : 000000 # color of the tick labels
#xtick.labelsize : medium # fontsize of the tick labels
#xtick.direction : out # direction: in, out, or inout
# xtick.minor.visible : False # visibility of minor ticks on x-axis
#xtick.major.top : True # draw x axis top major ticks
#xtick.major.bottom : True # draw x axis bottom major ticks
#xtick.minor.top : True # draw x axis top minor ticks
#xtick.minor.bottom : True # draw x axis bottom minor ticks

#ytick.left : True # draw ticks on the left side
#ytick.right : False # draw ticks on the right side
ytick.major.size : 2 # major tick size in points
ytick.minor.size : 1.0 # minor tick size in points
ytick.major.width : 0.5 # major tick width in points
ytick.minor.width : 0.5 # minor tick width in points
ytick.major.pad : 2 # distance to major tick label in points
ytick.minor.pad : 2 # distance to the minor tick label in points
ytick.color : 000000 # color of the tick labels
#ytick.labelsize : medium # fontsize of the tick labels
#ytick.direction : out # direction: in, out, or inout
# ytick.minor.visible : False # visibility of minor ticks on y-axis
#ytick.major.left : True # draw y axis left major ticks
#ytick.major.right : True # draw y axis right major ticks
#ytick.minor.left : True # draw y axis left minor ticks
#ytick.minor.right : True # draw y axis right minor ticks

### GRIDS
grid.color : 5c5c5c # grid color
grid.linestyle : solid # dotted
grid.linewidth : 0.5 # in points
grid.alpha : 0.25 # 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 : None # legend patch transparency
#legend.facecolor : inherit # inherit from axes.facecolor; or color spec
#legend.edgecolor : 0.8 # background patch boundary color
legend.fancybox : False # 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 : 8
# Dimensions as fraction of fontsize:
legend.borderpad : 0.4 # border whitespace
legend.labelspacing : 0.3 # the vertical space between the legend entries
legend.handlelength : 1.2 # the length of the legend lines
legend.handleheight : 1.1 # the height of the legend handle
legend.handletextpad : 0.3 # the space between the legend line and legend text
legend.borderaxespad : 0.3 # the border between the axes and legend edge
legend.columnspacing : 0.3 # column separation

### FIGURE
# See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure
#figure.titlesize : large # size of the figure title (Figure.suptitle())
#figure.titleweight : normal # weight of the figure title
figure.figsize : 6.299212598425196, 3.149606299212598
# figure size in inches
#	15 x 10 cm = 5.905511811023622, 3.937007874015748
# 16 x 10 cm = 6.299212598425196, 3.937007874015748
# 16 x 8 cm = 6.299212598425196, 3.149606299212598
figure.dpi : 96 # figure dots per inch
#figure.facecolor : white # figure facecolor; 0.75 is scalar gray
#figure.edgecolor : white # figure edgecolor
#figure.autolayout : False # 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 : auto # 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 : 1.5 # 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 : 96 # figure dots per inch or 'figure'
#savefig.facecolor : white # figure facecolor when saving
#savefig.edgecolor : white # figure edgecolor when saving
savefig.format : pdf # png, ps, pdf, svg
#savefig.bbox : standard # '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 : 0.1 # 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 : 42 # 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.

pgf.texsystem: lualatex
pgf.rcfonts: false
pgf.preamble: \usepackage{mycommands}

Issue 2:
The following example (with Matplotlib 2.0.0b3) causes the colorbar inside the colorbar axes to be offset when outputting to PDF with a low DPI:

import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(1,1,1)
im = ax.imshow([[1]])
fig.colorbar(im)
fig.savefig('colorbar_test.pdf', dpi=7)

This wasn't an issue with Matplotlib 1.4:

and the bug was apparently introduces in Matplotlib 1.5: