Matplotlib 그래프 스타일 설정하기

Matplotlib 그래프의 스타일을 간단하게 설정하는 방법을 소개합니다.

Matplotlib의 스타일 파라미터 rcParams를 사용해서 그래프를 커스터마이즈할 수 있습니다.

1) 기본 사용

예제

import matplotlib.pyplot as plt

plt.style.use('bmh')
# plt.style.use('ggplot')
# plt.style.use('classic')
# plt.style.use('Solarize_Light2')
# plt.style.use('default')

plt.plot([1, 2, 3, 4], [4, 6, 2, 7])
plt.show()

matplotlib.style 모듈은 미리 만들어놓은 Matplotlib 그래프 스타일을 포함하고 있습니다.

matplotlib.style.use()를 사용해서 다양한 스타일을 지정할 수 있습니다.

예제에서는 ‘bmh’, ‘ggplot’, ‘classic’, ‘Solarize_Light2’ 네 가지의 스타일을 지정했습니다.

다시 기본 스타일로 돌아가기 위해서는 plt.style.use(‘default’)를 호출하면 됩니다.

Matplotlib 그래프 스타일 설정하기 - 기본 사용

사용할 수 있는 Matplotlib 스타일을 확인하기 위해서는 아래의 코드를 실행하세요.

import matplotlib.pyplot as plt

print(plt.style.available)

['Solarize_Light2', '_classic_test_patch', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']

2) rcParams 사용하기

예제1

import matplotlib.pyplot as plt

plt.style.use('default')
plt.rcParams['figure.figsize'] = (6, 3)
plt.rcParams['font.size'] = 12
# plt.rcParams['figure.figsize'] = (4, 3)
# plt.rcParams['font.size'] = 14

plt.plot([1, 2, 3, 4], [4, 6, 2, 7])
plt.show()

미리 지정해놓은 스타일을 사용하지 않고, 각각의 스타일 관련 파라미터 (rcParams)를 지정할 수 있습니다.

‘figure.figsize’를 사용해서 그래프 이미지의 크기를 (6, 3)과 (4, 3)으로,

‘font.size’를 사용해서 폰트의 크기를 12와 14로 각각 지정했습니다.

아래의 두 그래프를 얻을 수 있습니다.

Matplotlib 그래프 스타일 설정하기 - rcParams 사용하기 1

예제2

import matplotlib.pyplot as plt

plt.style.use('default')
plt.rcParams['lines.linewidth'] = 3
plt.rcParams['lines.linestyle'] = '-'
# plt.rcParams['lines.linewidth'] = 5
# plt.rcParams['lines.linestyle'] = '--'

plt.plot([1, 2, 3, 4], [4, 6, 2, 7])
plt.show()

이번에는 ‘lines.linewidth’를 사용해서 선의 두께를 3과 5로,

‘lines.linestyle’를 사용해서 선의 스타일을 ‘-‘과 ‘- -‘로 지정했습니다.

아래와 같은 그래프가 나타납니다.

Matplotlib 그래프 스타일 설정하기 - rcParams 사용하기 2

예제3

import matplotlib.pyplot as plt

plt.style.use('default')
plt.rcParams['xtick.top'] = True
plt.rcParams['ytick.right'] = True
plt.rcParams['xtick.direction'] = 'in'
plt.rcParams['ytick.direction'] = 'in'
# plt.rcParams['xtick.major.size'] = 7
# plt.rcParams['ytick.major.size'] = 7
# plt.rcParams['xtick.minor.visible'] = True
# plt.rcParams['ytick.minor.visible'] = True

plt.plot([1, 2, 3, 4], [4, 6, 2, 7])
plt.show()

축 눈금과 관련된 rcParams을 설정했습니다.

‘xtick.top’, ‘ytick.right’을 True로 설정하면 데이터 영역의 위, 오른쪽에 눈금이 표시됩니다.

‘xtick.direction’, ytick.direction’은 눈금이 표시될 방향이며, {‘in’, ‘out’, ‘inout’} 중 선택할 수 있습니다.

‘xtick.major.size’, ytick.major.size’는 주 눈금의 크기 (길이)를 지정합니다.

‘xtick.minor.visible’, ytick.minor.visible’을 True로 설정하면 보조 눈금이 함께 표시됩니다.

결과는 아래와 같습니다.

Matplotlib 그래프 스타일 설정하기 - rcParams 사용하기 3

더 많은 rcParams은 아래의 리스트를 참고하세요.

#### MATPLOTLIBRC FORMAT

## NOTE FOR END USERS: DO NOT EDIT THIS FILE!
##
## This is a sample matplotlib configuration file - you can find a copy
## of it on your system in site-packages/matplotlib/mpl-data/matplotlibrc
## (which related to your Python installation location).
##
## You should find a copy of it on your system at
## site-packages/matplotlib/mpl-data/matplotlibrc (relative to your Python
## installation location).  DO NOT EDIT IT!
##
## If you wish to change your default style, copy this file to one of the
## following locations
##     unix/linux:
##         $HOME/.config/matplotlib/matplotlibrc OR
##         $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set)
##     other platforms:
##         $HOME/.matplotlib/matplotlibrc
## and edit that copy.
##
## See https://matplotlib.org/users/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:
##     - BACKENDS
##     - 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


## ***************************************************************************
## * BACKENDS                                                                *
## ***************************************************************************
## The default backend.  If you omit this parameter, the first working
## backend from the following list is used:
##     MacOSX Qt5Agg Gtk3Agg TkAgg WxAgg Agg
## Other choices include:
##     Qt5Cairo GTK3Cairo TkCairo WxCairo Cairo
##     Qt4Agg Qt4Cairo Wx  # deprecated.
##     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: Agg

## The port to use for the web server in the WebAgg backend.
#webagg.port: 8988

## The address on which the WebAgg web server should be reachable
#webagg.address: 127.0.0.1

## 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

## 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, toolmanager}
#timezone:    UTC       # a pytz timezone string, e.g., US/Central or Europe/Paris


## ***************************************************************************
## * LINES                                                                   *
## ***************************************************************************
## See https://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.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:     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:       --
#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:  sans-serif
#font.style:   normal
#font.variant: normal
#font.weight:  normal
#font.stretch: normal
#font.size:    10.0

#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: 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                                                                    *
## ***************************************************************************
## 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:     0.8     # 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:    True
#axes.spines.right:  True

#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', ['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
                # 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

## The reference date for Matplotlib's internal date representation
## See https://matplotlib.org/examples/ticks_and_spines/date_precision_and_epochs.py
#date.epoch: 1970-01-01T00:00:00

## ***************************************************************************
## * 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:       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
#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:     6.4, 4.8  # figure size in inches
#figure.dpi:         100       # figure dots per inch
#figure.facecolor:   white     # figure facecolor
#figure.edgecolor:   white     # figure edgecolor
#figure.frameon:     True      # enable figure frame
#figure.max_open_warning: 20   # The maximum number of figures to open through
                             # the pyplot interface before emitting a warning.
                             # If less than one this feature is disabled.
#figure.raise_window : True    # Raise the GUI window to front when show() is called.

## The figure subplot parameters.  All dimensions are a fraction of the figure width and height.
#figure.subplot.left:   0.125  # the left side of the subplots of the figure
#figure.subplot.right:  0.9    # the right side of the subplots of the figure
#figure.subplot.bottom: 0.11   # the bottom of the subplots of the figure
#figure.subplot.top:    0.88   # the top of the subplots of the figure
#figure.subplot.wspace: 0.2    # the amount of width reserved for space between subplots,
                             # expressed as a fraction of the average axis width
#figure.subplot.hspace: 0.2    # the amount of height reserved for space between subplots,
                             # expressed as a fraction of the average axis height

## Figure layout
#figure.autolayout: False  # When True, automatically adjust subplot
                         # parameters to make the plot fit the figure
                         # using `tight_layout`
#figure.constrained_layout.use: 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.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
#savefig.orientation: portrait  # Orientation of saved figure

### 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   # {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

### docstring params
#docstring.hardcopy: False  # set this when you want to generate hardcopy docstring


## ***************************************************************************
## * 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)

#mpl_toolkits.legacy_colorbar: True

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