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전체 예제 코드를 다운로드 하려면 여기 를 클릭 하십시오.
스타일 시트와 rcParams로 Matplotlib 사용자 정의하기 #
Matplotlib의 속성 및 기본 스타일을 사용자 지정하기 위한 팁입니다.
Matplotlib를 사용자 지정하는 세 가지 방법이 있습니다.
런타임에 rcParams를 설정하면 스타일 시트보다 우선하고 스타일 시트는 matplotlibrc파일보다 우선합니다.
런타임 rc 설정 #
Python 스크립트에서 또는 Python 셸에서 대화식으로 기본 rc(런타임 구성) 설정을 동적으로 변경할 수 있습니다. matplotlib.rcParams모든 rc 설정은 matplotlib 패키지에 전역인 이라는 사전과 유사한 변수에 저장됩니다
. matplotlib.rcParams구성 가능한 rcParams의 전체 목록은 참조하십시오 . rcParams는 다음과 같이 직접 수정할 수 있습니다.
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from cycler import cycler
mpl.rcParams['lines.linewidth'] = 2
mpl.rcParams['lines.linestyle'] = '--'
data = np.random.randn(50)
plt.plot(data)
[<matplotlib.lines.Line2D object at 0x7f2cdd6a05b0>]
일반적인 plot색상을 변경하려면 axes 의 prop_cycle 속성 을 변경해야 합니다 .
mpl.rcParams['axes.prop_cycle'] = cycler(color=['r', 'g', 'b', 'y'])
plt.plot(data) # first color is red
[<matplotlib.lines.Line2D object at 0x7f2cdda41e70>]
Matplotlib는 또한 rc 설정을 수정하기 위한 몇 가지 편리한 기능을 제공합니다. matplotlib.rc키워드 인수를 사용하여 단일 그룹의 여러 설정을 한 번에 수정하는 데 사용할 수 있습니다.
[<matplotlib.lines.Line2D object at 0x7f2cdd6a0b50>]
임시 rc 설정 #
객체 는 컨텍스트 관리자 matplotlib.rcParams를 사용하여 일시적으로 변경할 수도 있습니다 .matplotlib.rc_context
with mpl.rc_context({'lines.linewidth': 2, 'lines.linestyle': ':'}):
plt.plot(data)
matplotlib.rc_context함수 내에서 기본값을 수정하는 데코레이터로 사용할 수도 있습니다.
matplotlib.rcdefaults표준 Matplotlib 기본 설정을 복원합니다.
rcParams의 값을 설정할 때 어느 정도의 유효성 검사가 있습니다. 자세한 내용은 참조
matplotlib.rcsetup하십시오.
스타일 시트 사용 #
플롯의 시각적 모양을 변경하는 또 다른 방법은 소위 스타일 시트에 rcParams를 설정하고 해당 스타일 시트를
matplotlib.style.use. 이러한 방식으로 가져온 스타일 시트를 변경하기만 하면 다른 스타일 간에 쉽게 전환할 수 있습니다. 스타일 시트는 matplotlibrc 파일 과 동일하게 보이지만
스타일 시트에서는 플롯의 실제 스타일과 관련된 rcParams만 설정할 수 있습니다. backend 와 같은 다른 rcParams 는 무시됩니다. matplotlibrc파일은 모든 rcParams를 지원합니다. 이것의 근거는 다른 시스템에 설치되거나 설치되지 않을 수 있는 종속성에 대해 걱정할 필요 없이 스타일 시트를 다른 시스템 간에 이식 가능하게 만드는 것입니다. rcParams의 전체 목록은 를 참조하십시오 matplotlib.rcParams. 스타일 시트에서 무시되는 rcParams 목록은 다음을 참조하십시오.matplotlib.style.use.
Matplotlib에서 제공하는 사전 정의된 스타일이 많이 있습니다. 예를 들어, "ggplot"이라는 미리 정의된 스타일이 있는데, 이는 ggplot (인기 있는 R 용 플로팅 패키지 )의 미학을 에뮬레이트합니다. 이 스타일을 사용하려면 다음을 추가하십시오.
plt.style.use('ggplot')
사용 가능한 모든 스타일을 나열하려면 다음을 사용하십시오.
print(plt.style.available)
['Solarize_Light2', '_classic_test_patch', '_mpl-gallery', '_mpl-gallery-nogrid', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn-v0_8', 'seaborn-v0_8-bright', 'seaborn-v0_8-colorblind', 'seaborn-v0_8-dark', 'seaborn-v0_8-dark-palette', 'seaborn-v0_8-darkgrid', 'seaborn-v0_8-deep', 'seaborn-v0_8-muted', 'seaborn-v0_8-notebook', 'seaborn-v0_8-paper', 'seaborn-v0_8-pastel', 'seaborn-v0_8-poster', 'seaborn-v0_8-talk', 'seaborn-v0_8-ticks', 'seaborn-v0_8-white', 'seaborn-v0_8-whitegrid', 'tableau-colorblind10']
나만의 스타일 정의하기 #
style.use사용자 지정 스타일을 만들고 스타일 시트에 대한 경로 또는 URL을 호출하여 사용할 수 있습니다 .
예를 들어
./images/presentation.mplstyle다음과 같이 만들 수 있습니다.
axes.titlesize : 24
axes.labelsize : 20
lines.linewidth : 3
lines.markersize : 10
xtick.labelsize : 16
ytick.labelsize : 16
그런 다음 종이용으로 디자인된 플롯을 프레젠테이션에 잘 어울리는 플롯으로 조정하려면 다음을 추가하면 됩니다.
>>> import matplotlib.pyplot as plt
>>> plt.style.use('./images/presentation.mplstyle')
또는 <style-name>.mplstyle파일을 mpl_configdir/stylelib. 그런 다음 를 호출하여 사용자 정의 스타일 시트를 로드할 수 있습니다
style.use(<style-name>). 기본적으로 mpl_configdir이어야
~/.config/matplotlib하지만 당신의 것이 어디에 있는지 확인할 수 있습니다
matplotlib.get_configdir(). 이 디렉터리를 만들어야 할 수도 있습니다. 또한 다음을 설정하여 Matplotlib가 stylelib/ 폴더를 찾는 디렉토리를 변경할 수 있습니다.MPLCONFIGDIR환경 변수는
matplotlib 구성 및 캐시 디렉토리 위치 를 참조하십시오 .
스타일의 이름이 같은 경우 의 사용자 지정 스타일 시트는 mpl_configdir/stylelibMatplotlib에서 정의한 스타일 시트를 재정의합니다.
<style-name>.mplstyle파일이 적절
하면 mpl_configdir다음을 사용하여 스타일을 지정할 수 있습니다.
>>> import matplotlib.pyplot as plt
>>> plt.style.use(<style-name>)
작문 스타일 #
스타일 시트는 함께 구성되도록 설계되었습니다. 따라서 색상을 사용자 지정하는 스타일 시트와 프레젠테이션의 요소 크기를 변경하는 별도의 스타일 시트를 가질 수 있습니다. 이러한 스타일은 스타일 목록을 전달하여 쉽게 결합할 수 있습니다.
>>> import matplotlib.pyplot as plt
>>> plt.style.use(['dark_background', 'presentation'])
오른쪽에 있는 스타일은 이미 왼쪽에 있는 스타일로 정의된 값을 덮어씁니다.
임시 스타일링 #
특정 코드 블록에만 스타일을 사용하고 싶지만 전역 스타일을 변경하고 싶지 않은 경우 스타일 패키지는 변경 사항을 특정 범위로 제한하는 컨텍스트 관리자를 제공합니다. 스타일 변경을 분리하려면 다음과 같이 작성할 수 있습니다.
with plt.style.context('dark_background'):
plt.plot(np.sin(np.linspace(0, 2 * np.pi)), 'r-o')
plt.show()
matplotlibrc파일 # _
Matplotlib는 matplotlibrc구성 파일을 사용하여 'rc 설정' 또는 'rc 매개변수'라고 하는 모든 종류의 속성을 사용자 정의합니다. Matplotlib의 거의 모든 속성(그림 크기 및 DPI, 선 너비, 색상 및 스타일, 축, 축 및 그리드 속성, 텍스트 및 글꼴 속성 등)의 기본값을 제어할 수 있습니다. matplotlibrc시작 시 Matplotlib를 구성하기 위해 읽습니다 . Matplotlib는 matplotlibrc다음 순서로 네 위치에서 찾습니다.
matplotlibrc현재 작업 디렉토리에서 일반적으로 다른 곳에 적용하지 않으려는 특정 사용자 정의에 사용됩니다.$MATPLOTLIBRC파일이면 그렇지 않으면$MATPLOTLIBRC/matplotlibrc.다음으로 플랫폼에 따라 사용자별 위치에서 찾습니다.
Linux 및 FreeBSD에서는 환경을 사용자 정의한 경우
.config/matplotlib/matplotlibrc(또는 )를 찾습니다.$XDG_CONFIG_HOME/matplotlib/matplotlibrc다른 플랫폼에서는
.matplotlib/matplotlibrc.
matplotlib 구성 및 캐시 디렉토리 위치를 참조하십시오 .
INSTALL/matplotlib/mpl-data/matplotlibrc, 여기서 Linux와 Windows 와INSTALL같은 것입니다. matplotlib를 설치할 때마다 이 파일을 덮어쓰게 되므로 사용자 정의를 저장하려면 이 파일을 사용자별 matplotlib 디렉토리로 이동하십시오./usr/lib/python3.9/site-packagesC:\Python39\Lib\site-packages
matplotlibrc파일을 찾으면 다른 경로를 검색하지 않습니다 . 스타일 시트 에 가 제공
되면
스타일 시트style.use('<path>/<style-name>.mplstyle') 에 지정된 설정이 파일의 설정보다 우선
matplotlibrc합니다.
현재 활성 matplotlibrc파일이 로드된 위치를 표시하려면 다음을 수행할 수 있습니다.
>>> import matplotlib
>>> matplotlib.matplotlib_fname()
'/home/foo/.config/matplotlib/matplotlibrc'
샘플 matplotlibrc 파일 은 아래를
참조하고 matplotlib.rcParams구성 가능한 rcParams의 전체 목록은 참조하십시오.
기본 matplotlibrc파일 #
#### 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
## (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/stable/tutorials/introductory/customizing.html#customizing-with-matplotlibrc-files
## 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 double-quoted hex string, such as "#ff00ff".
## The unquoted string ff00ff is also supported for backward
## compatibility, but is discouraged.
## - a scalar grayscale intensity such as 0.75
## - a legal html color name, e.g., red, blue, darkslategray
##
## String values may optionally be enclosed in double quotes, which allows
## using the comment character # in the string.
##
## This file (and other style files) must be encoded as utf-8.
##
## 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 QtAgg Gtk4Agg Gtk3Agg TkAgg WxAgg Agg
## Other choices include:
## QtCairo GTK4Cairo GTK3Cairo TkCairo WxCairo Cairo
## Qt5Agg Qt5Cairo 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 web browser 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: auto
#pcolormesh.snap: True # Whether to snap the mesh to pixel boundaries. This is
# provided solely to allow old test images to remain
# unchanged. Set to False to obtain the previous behavior.
## ***************************************************************************
## * 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: 1.0 # 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 can take either a single or multiple entries of any
## combination of concrete font names (not supported when rendering text with
## usetex) or the following five generic 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 values has a corresponding default list of font names
## (font.serif, etc.); the first available font in the list is used. Note that
## for font.serif, font.sans-serif, and font.monospace, the first element of
## the list (a DejaVu font) will always be used because DejaVu is shipped with
## Matplotlib and is thus guaranteed to be available; the other entries are
## left as examples of other possible values.
##
## 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 points.
## 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, Comic Neue, Comic Sans MS, cursive
#font.fantasy: Chicago, Charcoal, Impact, Western, 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
## 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 raster outputs.
#text.parse_math: True # Use mathtext if there is an even number of unescaped
# dollar signs.
## ***************************************************************************
## * 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
#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:
# geometry, inputenc, type1cm.
# PostScript (PSNFSS) font packages may also be
# loaded, depending on your font settings.
## 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 font sizes for tick labels, 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 line width
#axes.grid: False # display grid or not
#axes.grid.axis: both # which axis the grid should apply to
#axes.grid.which: major # grid lines at {major, minor, both} ticks
#axes.titlelocation: center # alignment of the title: {left, right, center}
#axes.titlesize: large # font size 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 # font size of the x and 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 color specs:
# single letter, long name, or web-style hex
# As opposed to all other parameters 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.xmargin: .05 # x margin. See `axes.Axes.margins`
#axes.ymargin: .05 # y margin. See `axes.Axes.margins`
#axes.zmargin: .05 # z margin. See `axes.Axes.margins`
#axes.autolimit_mode: data # If "data", use axes.xmargin and axes.ymargin as is.
# If "round_numbers", after application of margins, axis
# limits are further expanded to the nearest "round" number.
#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
## 'auto', 'concise':
#date.converter: auto
## For auto converter whether to use interval_multiples:
#date.interval_multiples: True
## ***************************************************************************
## * 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 ticks
#xtick.labelcolor: inherit # color of the tick labels or inherit from xtick.color
#xtick.labelsize: medium # font size 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 ticks
#ytick.labelcolor: inherit # color of the tick labels or inherit from ytick.color
#ytick.labelsize: medium # font size 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.labelcolor: None
#legend.title_fontsize: None # None sets to the same as the default axes.
## Dimensions as fraction of font size:
#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.labelsize: large # size of the figure label (``Figure.sup[x|y]label()``)
#figure.labelweight: normal # weight of the figure label
#figure.figsize: 6.4, 4.8 # figure size in inches
#figure.dpi: 100 # figure dots per inch
#figure.facecolor: white # figure face color
#figure.edgecolor: white # figure edge color
#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 points)
#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 (plasma, magma, 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}
#contour.linewidth: None # {float, None} Size of the contour line
# widths. If set to None, it falls back to
# `line.linewidth`.
#contour.algorithm: mpl2014 # {mpl2005, mpl2014, serial, threaded}
## ***************************************************************************
## * 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 parameters can be different from the display parameters
## 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 face color when saving
#savefig.edgecolor: auto # figure edge color 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, gets updated after
# interactive saves, unless set to the empty string (i.e.
# the current directory); use '.' to start at the current
# directory but update after interactive saves
#savefig.transparent: False # whether figures are saved with a transparent
# background by default
#savefig.orientation: portrait # orientation of saved figure, for PostScript output only
### 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/stable/users/explain/interactive.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 trade-off for movie.
# -1 implies let utility auto-determine
#animation.frame_format: png # Controls frame format used by temp files
## Path to ffmpeg binary. Unqualified paths are resolved by subprocess.Popen.
#animation.ffmpeg_path: ffmpeg
## Additional arguments to pass to ffmpeg.
#animation.ffmpeg_args:
## Path to ImageMagick's convert binary. Unqualified paths are resolved by
## subprocess.Popen, except that on Windows, we look up an install of
## ImageMagick in the registry (as convert is also the name of a system tool).
#animation.convert_path: convert
## Additional arguments to pass to convert.
#animation.convert_args: -layers, OptimizePlus
#
#animation.embed_limit: 20.0 # Limit, in MB, of size of base64 encoded
# animation in HTML (i.e. IPython notebook)
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