Overhauling everything a bit, but at least it starts to be working...
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# Overall figure
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axes.facecolor: white # axes background color
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axes.edgecolor: black # axes edge color
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axes.linewidth: 0.8 # edge line width
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axes.grid: True # display grid or not
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axes.grid.axis: both # which axis the grid should apply to
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axes.grid.which: both # grid lines at {major, minor, both} ticks
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grid.linewidth: 0.2
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grid.color: black
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xtick.top:True
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ytick.right:True
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|
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#### MATPLOTLIBRC FORMAT
|
||||
|
||||
## DO NOT EDIT THIS FILE, MAKE A COPY FIRST
|
||||
##
|
||||
## 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/users/explain/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:
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||||
## - BACKENDS
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## - LINES
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## - PATCHES
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## - HATCHES
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## - BOXPLOT
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## - FONT
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## - 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.
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||||
#webagg.port: 8988
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||||
|
||||
## The address on which the WebAgg web server should be reachable
|
||||
#webagg.address: 127.0.0.1
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||||
|
||||
## 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
|
||||
#figure.hooks: # list of dotted.module.name:dotted.callable.name
|
||||
#toolbar: toolbar2 # {None, toolbar2, toolmanager}
|
||||
#timezone: UTC # a pytz timezone string, e.g., US/Central or Europe/Paris
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * LINES *
|
||||
## ***************************************************************************
|
||||
## See https://matplotlib.org/stable/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}
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||||
#lines.dash_capstyle: butt # {butt, round, projecting}
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||||
#lines.solid_joinstyle: round # {miter, round, bevel}
|
||||
#lines.solid_capstyle: projecting # {butt, round, projecting}
|
||||
#lines.antialiased: True # render lines in antialiased (no jaggies)
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||||
|
||||
## The three standard dash patterns. These are scaled by the linewidth.
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#lines.dashed_pattern: 3.7, 1.6
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#lines.dashdot_pattern: 6.4, 1.6, 1, 1.6
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||||
#lines.dotted_pattern: 1, 1.65
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||||
#lines.scale_dashes: True
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||||
#markers.fillstyle: full # {full, left, right, bottom, top, none}
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||||
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||||
#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/stable/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 # By default, Patches and Collections do not draw edges.
|
||||
# This value is only used if facecolor is "none"
|
||||
# (an Artist without facecolor and edgecolor would be
|
||||
# invisible) or if patch.force_edgecolor is True.
|
||||
#patch.force_edgecolor: False # By default, Patches and Collections do not draw edges.
|
||||
# Set this to True to draw edges with patch.edgedcolor
|
||||
# as the default edgecolor.
|
||||
# This is mainly relevant for styles.
|
||||
#patch.antialiased: True # render patches in antialiased (no jaggies)
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * HATCHES *
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||||
## ***************************************************************************
|
||||
#hatch.color: edge
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#hatch.linewidth: 1.0
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||||
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||||
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||||
## ***************************************************************************
|
||||
## * BOXPLOT *
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||||
## ***************************************************************************
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||||
#boxplot.notch: False
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#boxplot.vertical: True
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||||
#boxplot.whiskers: 1.5
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||||
#boxplot.bootstrap: None
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||||
#boxplot.patchartist: False
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||||
#boxplot.showmeans: False
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||||
#boxplot.showcaps: True
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#boxplot.showbox: True
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#boxplot.showfliers: True
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||||
#boxplot.meanline: False
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||||
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||||
#boxplot.flierprops.color: black
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#boxplot.flierprops.marker: o
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#boxplot.flierprops.markerfacecolor: none
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||||
#boxplot.flierprops.markeredgecolor: black
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||||
#boxplot.flierprops.markeredgewidth: 1.0
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#boxplot.flierprops.markersize: 6
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#boxplot.flierprops.linestyle: none
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||||
#boxplot.flierprops.linewidth: 1.0
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||||
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#boxplot.boxprops.color: black
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#boxplot.boxprops.linewidth: 1.0
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#boxplot.boxprops.linestyle: -
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||||
#boxplot.whiskerprops.color: black
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||||
#boxplot.whiskerprops.linewidth: 1.0
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#boxplot.whiskerprops.linestyle: -
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#boxplot.capprops.color: black
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#boxplot.capprops.linewidth: 1.0
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||||
#boxplot.capprops.linestyle: -
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||||
#boxplot.medianprops.color: C1
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||||
#boxplot.medianprops.linewidth: 1.0
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#boxplot.medianprops.linestyle: -
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||||
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#boxplot.meanprops.color: C2
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||||
#boxplot.meanprops.marker: ^
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||||
#boxplot.meanprops.markerfacecolor: C2
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||||
#boxplot.meanprops.markeredgecolor: C2
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||||
#boxplot.meanprops.markersize: 6
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#boxplot.meanprops.linestyle: --
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#boxplot.meanprops.linewidth: 1.0
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * FONT *
|
||||
## ***************************************************************************
|
||||
## The font properties used by `text.Text`.
|
||||
## See https://matplotlib.org/stable/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 'small', 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
|
||||
|
||||
#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, xkcd script, fantasy
|
||||
#font.monospace: DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
|
||||
|
||||
## If font.enable_last_resort is True, then Unicode Consortium's Last Resort
|
||||
## font will be appended to all font selections. This ensures that there will
|
||||
## always be a glyph displayed.
|
||||
#font.enable_last_resort: true
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * TEXT *
|
||||
## ***************************************************************************
|
||||
## The text properties used by `text.Text`.
|
||||
## See https://matplotlib.org/stable/api/artist_api.html#module-matplotlib.text
|
||||
## for more information on text properties
|
||||
#text.color: black
|
||||
|
||||
## The language of the text in a format accepted by libraqm, namely `a BCP47 language
|
||||
## code <https://www.w3.org/International/articles/language-tags/>`_. If None, then no
|
||||
## particular language will be implied, and default font settings will be used.
|
||||
#text.language: None
|
||||
|
||||
## 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: default
|
||||
|
||||
#text.hinting_factor: None # This setting does nothing and is deprecated.
|
||||
#text.kerning_factor: None # Specifies the scaling factor for kerning values. Values
|
||||
# other than 0, 6, or None have no defined meaning.
|
||||
# This setting is deprecated.
|
||||
#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/stable/users/explain/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
|
||||
|
||||
## The TeX engine/format to use. The following values are supported:
|
||||
## - "latex": The classic TeX engine (the current default). All backends render
|
||||
## TeX's output by parsing the DVI output into glyphs and boxes and emitting
|
||||
## those one by one.
|
||||
## - "latex+dvipng": The same as "latex", with the exception that Agg-based
|
||||
## backends rely on dvipng to rasterize TeX's output. This value was the
|
||||
## default up to Matplotlib 3.10.
|
||||
#text.latex.engine: latex
|
||||
|
||||
#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, fix-cm, geometry, graphicx, textcomp.
|
||||
# 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'
|
||||
## "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.bfit: sans:italic: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 cannot 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: normal # The default font to use for math.
|
||||
# Can be any of the LaTeX font names (normal, it, bf,
|
||||
# etc.), 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/stable/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='tab10')
|
||||
# color cycle for plot lines as either a named color sequence or a 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/stable/users/explain/artists/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
|
||||
#axes3d.automargin: False # automatically add margin when manually setting 3D axis limits
|
||||
|
||||
#axes3d.xaxis.panecolor: (0.95, 0.95, 0.95, 0.5) # background pane on 3D axes
|
||||
#axes3d.yaxis.panecolor: (0.90, 0.90, 0.90, 0.5) # background pane on 3D axes
|
||||
#axes3d.zaxis.panecolor: (0.925, 0.925, 0.925, 0.5) # background pane on 3D axes
|
||||
|
||||
#axes3d.depthshade: True # depth shade for 3D scatter plots
|
||||
#axes3d.depthshade_minalpha: 0.3 # minimum alpha value for depth shading
|
||||
|
||||
#axes3d.mouserotationstyle: arcball # {azel, trackball, sphere, arcball}
|
||||
# See also https://matplotlib.org/stable/api/toolkits/mplot3d/view_angles.html#rotation-with-mouse
|
||||
#axes3d.trackballsize: 0.667 # trackball diameter, in units of the Axes bbox
|
||||
#axes3d.trackballborder: 0.2 # trackball border width, in units of the Axes bbox (only for 'sphere' and 'arcball' style)
|
||||
#axes3d.snap_rotation: 5.0 # Snap angle (degrees) for 3D rotation when holding Control.
|
||||
## ***************************************************************************
|
||||
## * 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/stable/gallery/ticks/date_precision_and_epochs.html
|
||||
#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/stable/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.minor.ndivs: auto # number of minor ticks between the major ticks on x-axis
|
||||
#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.minor.ndivs: auto # number of minor ticks between the major ticks on y-axis
|
||||
#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
|
||||
|
||||
#grid.major.color: None # If None defaults to grid.color
|
||||
#grid.major.linestyle: None # If None defaults to grid.linestyle
|
||||
#grid.major.linewidth: None # If None defaults to grid.linewidth
|
||||
#grid.major.alpha: None # If None defaults to grid.alpha
|
||||
|
||||
#grid.minor.color: None # If None defaults to grid.color
|
||||
#grid.minor.linestyle: None # If None defaults to grid.linestyle
|
||||
#grid.minor.linewidth: None # If None defaults to grid.linewidth
|
||||
#grid.minor.alpha: None # If None defaults to grid.alpha
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * 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.linewidth: None # line width of the legend frame, None means inherit from patch.linewidth
|
||||
#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/stable/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.
|
||||
# If set to False, we currently do not take any further
|
||||
# actions and whether the window appears on the front
|
||||
# may depend on the GUI framework and window manager.
|
||||
|
||||
## 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).
|
||||
## Padding (in inches) around axes; defaults to 3/72 inches, i.e. 3 points.
|
||||
#figure.constrained_layout.h_pad: 0.04167
|
||||
#figure.constrained_layout.w_pad: 0.04167
|
||||
## Spacing between subplots, relative to the subplot sizes. Much smaller than for
|
||||
## tight_layout (figure.subplot.hspace, figure.subplot.wspace) as constrained_layout
|
||||
## already takes surrounding texts (titles, labels, # ticklabels) into account.
|
||||
#figure.constrained_layout.hspace: 0.02
|
||||
#figure.constrained_layout.wspace: 0.02
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * IMAGES *
|
||||
## ***************************************************************************
|
||||
#image.aspect: equal # {equal, auto} or a number
|
||||
#image.interpolation: auto # see help(imshow) for options
|
||||
#image.interpolation_stage: auto # 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
|
||||
#errorbar.capthick: None # thickness of end cap on error bars in points
|
||||
#errorbar.elinewidth: None # line width of error bar lines in points
|
||||
|
||||
|
||||
## ***************************************************************************
|
||||
## * 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 tuple of the form:
|
||||
# path.sketch: (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 generating frames
|
||||
# for animation
|
||||
#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
|
||||
|
||||
### macosx backend params
|
||||
#macosx.window_mode : system # How to open new figures (system, tab, window)
|
||||
# system uses the MacOS system preferences
|
||||
|
||||
### tk backend params
|
||||
#tk.window_focus: False # Maintain shell focus for TkAgg
|
||||
|
||||
### ps backend params
|
||||
#ps.papersize: letter # {figure, letter, legal, ledger, A0-A10, B0-B10}
|
||||
#ps.useafm: False # use 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
|
||||
#svg.id: None # If not None, use this string as the value for the `id`
|
||||
# attribute in the top <svg> tag
|
||||
|
||||
### pgf parameter
|
||||
## See https://matplotlib.org/stable/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)
|
||||
+130
-90
@@ -4,11 +4,71 @@
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
import math
|
||||
import matplotlib.pyplot as plt
|
||||
import warnings
|
||||
import codecs
|
||||
|
||||
### ----------------------------------------------------------------------------------------------------------------------------------- ###
|
||||
### OFR ANALYSIS
|
||||
|
||||
class Distribution():
|
||||
|
||||
def __init__(self, variable_array, function_array, form = 'log10'):
|
||||
|
||||
self.var = variable_array
|
||||
self.fct = function_array
|
||||
|
||||
self.__form = form
|
||||
|
||||
def transform(self, to = 'linear'):
|
||||
|
||||
if self.__form == to:
|
||||
warnings.warn("Already in desired format. Transformation has no effect.")
|
||||
return
|
||||
|
||||
# TODO: check the transformations!
|
||||
|
||||
match to:
|
||||
case 'linear':
|
||||
if self.__form == 'ln':
|
||||
self.var = np.exp(self.var)
|
||||
self.fct = np.divide(self.fct, self.var)
|
||||
elif self.__form == 'log10':
|
||||
self.var = np.power(10, self.var)
|
||||
self.fct = np.divide(self.fct, self.var * np.log(10))
|
||||
case 'ln':
|
||||
if self.__form == 'linear':
|
||||
self.var = np.log(self.var)
|
||||
self.fct = np.multiply(self.var, self.fct)
|
||||
elif self.__form == 'log10':
|
||||
self.var = np.log(np.power(10, self.var))
|
||||
self.fct = np.divide(self.fct, np.log(10))
|
||||
case 'log10':
|
||||
if self.__form == 'linear':
|
||||
self.var = np.log10(self.var)
|
||||
self.fct = np.multiply(self.var, self.fct * np.log(10))
|
||||
elif self.__form == 'ln':
|
||||
self.var = np.log10(np.exp(self.var))
|
||||
self.fct = np.multiply(self.fct, np.log(10))
|
||||
|
||||
def integrate(self) -> np.float64:
|
||||
return np.trapezoid(y = self.fct, x = self.var)
|
||||
|
||||
def median():
|
||||
# TODO: implement that method
|
||||
pass
|
||||
|
||||
def mode():
|
||||
# TODO: implement that method
|
||||
pass
|
||||
|
||||
def mean():
|
||||
# TODO: implement that method
|
||||
pass
|
||||
|
||||
def variance():
|
||||
# TODO: implement that method
|
||||
pass
|
||||
|
||||
class OFRSample:
|
||||
|
||||
"""Object to represent a single sample from the OFR
|
||||
@@ -40,48 +100,7 @@ class OFRSample:
|
||||
The density (kg/m3) of the SOA produced in the OFR
|
||||
"""
|
||||
|
||||
def __init__(self, source_file, sample_number, data_separator):
|
||||
|
||||
# Sample information
|
||||
self.source_file = source_file # where the data is stored, i.e. "C:/Users/tschan_d/..."
|
||||
self.sample_number = sample_number # sample number, i.e. 33
|
||||
self.__data_separator = data_separator
|
||||
|
||||
self.scan_up_time = None # Time to scan up the voltage range in DMA, in (s)
|
||||
self.scan_down_time = None # Time to scan down the voltage range in DMA, in(s)
|
||||
|
||||
self.sample_time = None
|
||||
|
||||
self.lower_diameter_bound = None # Lower Diameter bound of CPC, in (nm)
|
||||
self.upper_diameter_bound = None # Upper Diameter bound of CPC, in (nm)
|
||||
self.aerosol_flow = None # Aerosol flow, in (m3/s)
|
||||
self.SOA_density = None # Expected density of SOA, in (kg/m3)
|
||||
|
||||
# Sample Distributions
|
||||
self.diameters = None # Bin Midpoint Diameter, in (m)
|
||||
self.count_density = None # Count Density dN/dlnD, in (#/m3)
|
||||
self.surface_density = None # Surface Density dS/dlnD, in (m2/(m3*m))
|
||||
self.volume_density = None # Volume Density dV/dlnD, in (m3/(m3*m))
|
||||
self.mass_density = None # Mass Density dm/dlnD, in (kg/(m3*m))
|
||||
|
||||
# Distributed integrated along dlnD
|
||||
self.sample_count_density = None # Total Count Density (#/(m3))
|
||||
self.sample_surface_density = None # Total Surface Density (m2/(m3))
|
||||
self.sample_volume_density = None # Total Volume Density (m3/(m3))
|
||||
self.sample_mass_density = None # Total Mass Density (kg/(m3))
|
||||
|
||||
# Distributions integrated over sample
|
||||
self.sample_count = None # Total Count (#/(m3))
|
||||
self.sample_surface = None # Total Surface (m2/(m3))
|
||||
self.sample_volume = None # Total Volume (m3/(m3))
|
||||
self.sample_mass = None # Total Mass (kg/(m3))
|
||||
|
||||
self.__get_data()
|
||||
self.__get_distributions()
|
||||
self.__integrate_over_distributions()
|
||||
self.__integrate_over_sample()
|
||||
|
||||
def __get_data(self):
|
||||
def __get_data(self) -> np.float64:
|
||||
|
||||
footer_flag = False
|
||||
footer_start_index = 0
|
||||
@@ -91,7 +110,7 @@ class OFRSample:
|
||||
midpoints = []
|
||||
counts = []
|
||||
|
||||
with open(self.source_file, 'r') as file:
|
||||
with open(self.source_file, 'r', errors = 'ignore') as file:
|
||||
for i, line in enumerate(file.readlines()):
|
||||
if i == 20:
|
||||
data_flag = True
|
||||
@@ -111,7 +130,7 @@ class OFRSample:
|
||||
self.scan_down_time = float(line.split(self.__data_separator)[1])
|
||||
continue
|
||||
elif i == footer_start_index + 6:
|
||||
self.aerosol_flow = float(line.split(self.__data_separator)[1]) / 60000
|
||||
self.aerosol_flow = float(line.split(self.__data_separator)[1])
|
||||
continue
|
||||
elif i == footer_start_index + 11:
|
||||
self.lower_diameter_bound = float(line.split(self.__data_separator)[1])
|
||||
@@ -120,7 +139,7 @@ class OFRSample:
|
||||
self.upper_diameter_bound = float(line.split(self.__data_separator)[1])
|
||||
continue
|
||||
elif i == footer_start_index + 13:
|
||||
self.SOA_density = float(line.split(self.__data_separator)[1]) * 1E3
|
||||
self.SOA_density = float(line.split(self.__data_separator)[1])
|
||||
continue
|
||||
|
||||
self.sample_time = self.scan_up_time + self.scan_down_time
|
||||
@@ -136,45 +155,54 @@ class OFRSample:
|
||||
else:
|
||||
continue
|
||||
|
||||
# Input data from file is in (nm). Therefore, multiply with 1E-9 to get (m)
|
||||
self.diameters = np.array(midpoints).reshape([-1, 1]) * 1E-9
|
||||
# Input data from file is in (nm)
|
||||
return [np.array(midpoints), np.array(counts)]
|
||||
|
||||
# Input data from file is in (#/cm3). Therefore, multiply with 1E6 to get (#/m3)
|
||||
self.count_density = np.array(counts).reshape([-1, 1]) * 1E6
|
||||
|
||||
def __get_distributions(self):
|
||||
def __init__(self, source_file, sample_number, data_separator = ','):
|
||||
|
||||
self.surface_density = (math.pi * self.diameters ** 2) * self.count_density
|
||||
self.volume_density = (math.pi * self.diameters ** 3) * self.count_density
|
||||
self.mass_density = self.SOA_density * self.volume_density
|
||||
## VALUES READ IN FROM DISK
|
||||
#--------------------------
|
||||
|
||||
def __integrate_over_distributions(self):
|
||||
# Sample information
|
||||
self.source_file = source_file # where the data is stored, i.e. "C:/Users/tschan_d/..."
|
||||
self.sample_number = sample_number # sample number, i.e. 33
|
||||
self.__data_separator = data_separator
|
||||
|
||||
self.sample_count_density = self.__integrator(integrand=np.divide(self.count_density, self.diameters))
|
||||
self.sample_surface_density = self.__integrator(integrand=np.divide(self.surface_density, self.diameters))
|
||||
self.sample_volume_density = self.__integrator(integrand=np.divide(self.volume_density, self.diameters))
|
||||
self.sample_mass_density = self.__integrator(integrand=np.divide(self.mass_density, self.diameters))
|
||||
self.scan_up_time = None # Time to scan up the voltage range in DMA, in (s)
|
||||
self.scan_down_time = None # Time to scan down the voltage range in DMA, in(s)
|
||||
self.sample_time = None # Total time to scan voltage up and back down in DMA, in (s)
|
||||
|
||||
def __integrator(self, integrand: np.float64) -> np.float64:
|
||||
|
||||
return np.trapezoid(y = integrand.flatten(), x = self.diameters.flatten())
|
||||
|
||||
def __integrate_over_sample(self):
|
||||
|
||||
self.sample_count = self.sample_count_density * self.sample_time * self.aerosol_flow
|
||||
self.sample_surface = self.sample_surface_density * self.sample_time * self.aerosol_flow
|
||||
self.sample_volume = self.sample_volume_density * self.sample_time * self.aerosol_flow
|
||||
self.sample_mass = self.sample_mass_density * self.sample_time * self.aerosol_flow
|
||||
self.lower_diameter_bound = None # Lower Diameter bound of CPC, in (nm)
|
||||
self.upper_diameter_bound = None # Upper Diameter bound of CPC, in (nm)
|
||||
self.aerosol_flow = None # Aerosol flow, in (L/min)
|
||||
self.SOA_density = None # Expected density of SOA, in (g/cm3)
|
||||
|
||||
# Distributions of the relevant quantities (all relative to nanometer)
|
||||
data = self.__get_data()
|
||||
self.Count = Distribution(variable_array = np.log10(data[0]),
|
||||
function_array = data[1],
|
||||
form='log10')
|
||||
self.Length = Distribution(variable_array = np.log10(data[0]),
|
||||
function_array = data[0] * data[1],
|
||||
form = 'log10')
|
||||
self.Surface = Distribution(variable_array = np.log(data[0]),
|
||||
function_array = ((math.pi) * data[0] ** 2) * data[1],
|
||||
form = 'log10')
|
||||
self.Volume = Distribution(variable_array = np.log10(data[0]),
|
||||
function_array = ((math.pi / 6) * data[0] ** 3) * data[1],
|
||||
form = 'log10')
|
||||
self.Mass = Distribution(variable_array = np.log10(data[0]),
|
||||
function_array = (self.SOA_density * (math.pi / 6) * data[0] ** 3) * data[1],
|
||||
form='log10')
|
||||
|
||||
class OFRAnalyser:
|
||||
|
||||
def __init__(self, source_file, data_separator = ',') -> None:
|
||||
def __init__(self, source_file, sample_number_list, data_separator = ',') -> None:
|
||||
|
||||
self.source_file = source_file
|
||||
self.__data_separator = data_separator
|
||||
|
||||
with open(self.source_file, 'r') as file:
|
||||
with open(self.source_file, 'r', errors = 'ignore') as file:
|
||||
for i, line in enumerate(file.readlines()):
|
||||
if i == 17:
|
||||
items = line.split(',')
|
||||
@@ -183,10 +211,10 @@ class OFRAnalyser:
|
||||
continue
|
||||
|
||||
self.max_samples = max_sample_number
|
||||
self.total_counts = None
|
||||
self.total_surface = None
|
||||
self.total_volume = None
|
||||
self.total_mass = None
|
||||
self.sample_number_list = sample_number_list
|
||||
|
||||
self.data = None
|
||||
|
||||
|
||||
def __sample_number_list_check(self, sample_number_list) -> None:
|
||||
|
||||
@@ -195,27 +223,39 @@ class OFRAnalyser:
|
||||
if last_sample > self.max_samples:
|
||||
raise IndexError("The last sample(s) are out of range of the number of recorded samples")
|
||||
|
||||
def AggregateSamples(self, samples = [1]) -> None:
|
||||
def Analyse(self) -> None:
|
||||
|
||||
self.__sample_number_list_check(samples)
|
||||
self.__sample_number_list_check(self.sample_number_list)
|
||||
|
||||
counts = []
|
||||
numbers = []
|
||||
lengths = []
|
||||
surfaces = []
|
||||
volumes = []
|
||||
densities = []
|
||||
masses = []
|
||||
times = []
|
||||
|
||||
for sample_number in self.sample_number_list:
|
||||
sample = OFRSample(source_file=self.source_file, sample_number = sample_number, data_separator = self.__data_separator)
|
||||
|
||||
numbers.append(sample.Count.integrate())
|
||||
lengths.append(sample.Length.integrate() / 1E6)
|
||||
surfaces.append(sample.Surface.integrate() / 1E12)
|
||||
volumes.append(sample.Volume.integrate() / 1E9)
|
||||
densities.append(sample.SOA_density)
|
||||
masses.append(sample.Mass.integrate() / 1E12)
|
||||
times.append(sample_number * sample.sample_time)
|
||||
|
||||
self.data = pd.DataFrame({'Sample': self.sample_number_list,
|
||||
'Number (#/cm^3)': numbers,
|
||||
'Length (mm/cm^3)': lengths,
|
||||
'Surface (mm^2/cm^3)': surfaces,
|
||||
'Volume (μm^3/cm^3)': volumes,
|
||||
'Density (pg/μm^3)': densities,
|
||||
'Mass (mg/cm^3)': masses,
|
||||
'Time (s)': times})
|
||||
|
||||
for samplenumber in samples:
|
||||
sample = OFRSample(source_file=self.source_file, sample_number = samplenumber, data_separator = self.__data_separator)
|
||||
|
||||
counts.append(sample.sample_count)
|
||||
surfaces.append(sample.sample_surface)
|
||||
volumes.append(sample.sample_volume)
|
||||
masses.append(sample.sample_mass)
|
||||
|
||||
self.total_counts = sum(counts)
|
||||
self.total_surface = sum(surfaces)
|
||||
self.total_volume = sum(volumes)
|
||||
self.total_mass = sum(masses)
|
||||
|
||||
### ----------------------------------------------------------------------------------------------------------------------------------- ###
|
||||
###
|
||||
@@ -0,0 +1,61 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>Bokeh Plot</title>
|
||||
<style>
|
||||
html, body {
|
||||
box-sizing: border-box;
|
||||
display: flow-root;
|
||||
height: 100%;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
</style>
|
||||
<script src="https://cdn.bokeh.org/bokeh/release/bokeh-3.9.1.min.js"></script>
|
||||
<script>
|
||||
Bokeh.set_log_level("info");
|
||||
</script>
|
||||
</head>
|
||||
<body>
|
||||
<div id="e7bd5470-6f04-4029-b801-8619d61aefb3" data-root-id="p1006" style="display: contents;"></div>
|
||||
|
||||
<script type="application/json" id="a1c145b3-ddfb-4db6-9d1b-b5fbd76fdbe2">
|
||||
{"fb880ecc-4a99-417b-afe5-feb235ee23f7":{"version":"3.9.1","title":"Bokeh 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<script>
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Bokeh.safely(function() {
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if (root.Bokeh !== undefined) {
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clearInterval(timer);
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embed_document(root);
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attempts++;
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if (attempts > 100) {
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clearInterval(timer);
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console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
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}
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}, 10, root)
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});
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};
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if (document.readyState != "loading") fn();
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else document.addEventListener("DOMContentLoaded", fn);
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})();
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</script>
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</body>
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</html>
|
||||
@@ -1,16 +1,22 @@
|
||||
# Imports
|
||||
#%%
|
||||
from pathlib import Path
|
||||
from defs.computing import OFRAnalyser
|
||||
from defs.computing import OFRSample, OFRAnalyser
|
||||
import numpy as np
|
||||
from bokeh.plotting import figure, show
|
||||
from pathlib import Path
|
||||
|
||||
#%%
|
||||
analyser = OFRAnalyser(source_file=Path(r"Z:\People\David_Tschan\data\OFR_SMPS\2026\processed\06_June\20260612\20260612_SET02_EXP01_full.txt"))
|
||||
# Path to the source file
|
||||
source_file = Path(r"C:\Users\tschan_d\Documents\data_local\20260612_SET02_EXP01_full.txt")
|
||||
|
||||
#samplelist = np.linspace(start=1, stop=analyser.max_samples, num=analyser.max_samples, dtype=int).tolist()
|
||||
# Plotting one of the spectra to show properties
|
||||
|
||||
# first load and get the data of sample 57 (arbitrary)
|
||||
sample = OFRSample(source_file = source_file, sample_number = 150)
|
||||
|
||||
# Now plot the spectrum
|
||||
p = figure(width = 600, height = 400, x_axis_type='log')
|
||||
p.line(x = sample.Count.var, y = sample.Count.fct)
|
||||
show(p)
|
||||
|
||||
#%%
|
||||
analyser.AggregateSamples(samples=[33])
|
||||
|
||||
#%%
|
||||
print(analyser.total_mass)
|
||||
# %%
|
||||
@@ -0,0 +1,131 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "36f6dc0f",
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"metadata": {},
|
||||
"source": [
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"### OFR Analysis"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"id": "8769766b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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" <style>\n",
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" .bk-notebook-logo {\n",
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" display: block;\n",
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" width: 20px;\n",
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" height: 20px;\n",
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" background-image: url(data:image/png;base64,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);\n",
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" }\n",
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" </style>\n",
|
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" <div>\n",
|
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" <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
|
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" <span id=\"ba7b56ac-409d-4c6f-803b-da270f9806de\">Loading BokehJS ...</span>\n",
|
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" </div>\n"
|
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]
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},
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"metadata": {},
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"output_type": "display_data"
|
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},
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{
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"data": {
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"application/javascript": "'use strict';\n(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n function drop(id) {\n const view = Bokeh.index.get_by_id(id)\n if (view != null) {\n view.model.document.clear()\n Bokeh.index.delete(view)\n }\n }\n\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n\n // Clean up Bokeh references\n if (id != null) {\n drop(id)\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim()\n drop(id)\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n Line truncated
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||||
"application/vnd.bokehjs_load.v0+json": ""
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Imports\n",
|
||||
"\n",
|
||||
"from defs.computing import OFRSample, OFRAnalyser\n",
|
||||
"import numpy as np\n",
|
||||
"from pathlib import Path\n",
|
||||
"\n",
|
||||
"from bokeh.plotting import figure, show\n",
|
||||
"from bokeh.io import output_notebook\n",
|
||||
"output_notebook()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 45,
|
||||
"id": "3922e80c",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Path to the source file\n",
|
||||
"source_file = Path(r\"Z:\\People\\David_Tschan\\data\\OFR_SMPS\\2026\\processed\\06_June\\20260612\\20260612_SET02_EXP01_full.txt\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "76a9b026",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "AttributeError",
|
||||
"evalue": "unexpected attribute 'show' to figure, possible attributes are above, align, aspect_ratio, aspect_scale, attribution, background_fill_alpha, background_fill_color, background_hatch_alpha, background_hatch_color, background_hatch_extra, background_hatch_pattern, background_hatch_scale, background_hatch_weight, below, border_fill_alpha, border_fill_color, border_hatch_alpha, border_hatch_color, border_hatch_extra, border_hatch_pattern, border_hatch_scale, border_hatch_weight, border_line_alpha, border_line_cap, border_line_color, border_line_dash, border_line_dash_offset, border_line_join, border_line_width, center, context_menu, css_classes, css_variables, disabled, elements, extra_x_ranges, extra_x_scales, extra_y_ranges, extra_y_scales, flow_mode, frame_align, frame_height, frame_width, height, height_policy, hidpi, hold_render, html_attributes, html_id, inner_height, inner_width, js_event_callbacks, js_property_callbacks, left, lod_factor, lod_interval, lod_threshold, lod_timeout, margin, match_aspect, max_height, max_width, min_border, min_border_bottom, min_border_left, min_border_right, min_border_top, min_height, min_width, name, outer_height, outer_width, outline_line_alpha, outline_line_cap, outline_line_color, outline_line_dash, outline_line_dash_offset, outline_line_join, outline_line_width, output_backend, renderers, reset_policy, resizable, right, sizing_mode, styles, stylesheets, subscribed_events, syncable, tags, title, title_location, toolbar, toolbar_inner, toolbar_location, toolbar_sticky, visible, width, width_policy, window_axis, x_range, x_scale, y_range or y_scale",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
|
||||
"\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)",
|
||||
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[47]\u001b[39m\u001b[32m, line 9\u001b[39m\n\u001b[32m 5\u001b[39m \n\u001b[32m 6\u001b[39m p = figure(width=\u001b[32m600\u001b[39m, height=\u001b[32m400\u001b[39m, x_axis_type=\u001b[33m'log'\u001b[39m)\n\u001b[32m 7\u001b[39m p.line(np.power(\u001b[32m10\u001b[39m,sample.Count.var), sample.Count.fct)\n\u001b[32m 8\u001b[39m \n\u001b[32m----> \u001b[39m\u001b[32m9\u001b[39m p.show()\n",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\tschan_d\\AppData\\Local\\miniforge3\\envs\\MA\\Lib\\site-packages\\bokeh\\core\\has_props.py:373\u001b[39m, in \u001b[36mHasProps.__getattr__\u001b[39m\u001b[34m(self, name)\u001b[39m\n\u001b[32m 370\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(descriptor, \u001b[38;5;28mproperty\u001b[39m): \u001b[38;5;66;03m# Python property\u001b[39;00m\n\u001b[32m 371\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m().\u001b[34m__getattribute__\u001b[39m(name)\n\u001b[32m--> \u001b[39m\u001b[32m373\u001b[39m \u001b[30;43mself\u001b[39;49m\u001b[30;43m.\u001b[39;49m\u001b[30;43m_raise_attribute_error_with_matches\u001b[39;49m\u001b[30;43m(\u001b[39;49m\u001b[30;43mname\u001b[39;49m\u001b[30;43m,\u001b[39;49m\u001b[30;43m \u001b[39;49m\u001b[30;43mproperties\u001b[39;49m\u001b[30;43m)\u001b[39;49m\n",
|
||||
"\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\tschan_d\\AppData\\Local\\miniforge3\\envs\\MA\\Lib\\site-packages\\bokeh\\core\\has_props.py:386\u001b[39m, in \u001b[36mHasProps._raise_attribute_error_with_matches\u001b[39m\u001b[34m(self, name, properties)\u001b[39m\n\u001b[32m 382\u001b[39m matches, text = \u001b[38;5;28msorted\u001b[39m(properties), \u001b[33m\"\u001b[39m\u001b[33mpossible\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 384\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01m.\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mutil\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mstrings\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m nice_join\n\u001b[32m--> \u001b[39m\u001b[32m386\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33munexpected attribute \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[33m to \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m.\u001b[34m__class__\u001b[39m.\u001b[34m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtext\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m attributes are \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnice_join(matches)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n",
|
||||
"\u001b[31mAttributeError\u001b[39m: unexpected attribute 'show' to figure, possible attributes are above, align, aspect_ratio, aspect_scale, attribution, background_fill_alpha, background_fill_color, background_hatch_alpha, background_hatch_color, background_hatch_extra, background_hatch_pattern, background_hatch_scale, background_hatch_weight, below, border_fill_alpha, border_fill_color, border_hatch_alpha, border_hatch_color, border_hatch_extra, border_hatch_pattern, border_hatch_scale, border_hatch_weight, border_line_alpha, border_line_cap, border_line_color, border_line_dash, border_line_dash_offset, border_line_join, border_line_width, center, context_menu, css_classes, css_variables, disabled, elements, extra_x_ranges, extra_x_scales, extra_y_ranges, extra_y_scales, flow_mode, frame_align, frame_height, frame_width, height, height_policy, hidpi, hold_render, html_attributes, html_id, inner_height, inner_width, js_event_callbacks, js_property_callbacks, left, lod_factor, lod_interval, lod_threshold, lod_timeout, margin, match_aspect, max_height, max_width, min_border, min_border_bottom, min_border_left, min_border_right, min_border_top, min_height, min_width, name, outer_height, outer_width, outline_line_alpha, outline_line_cap, outline_line_color, outline_line_dash, outline_line_dash_offset, outline_line_join, outline_line_width, output_backend, renderers, reset_policy, resizable, right, sizing_mode, styles, stylesheets, subscribed_events, syncable, tags, title, title_location, toolbar, toolbar_inner, toolbar_location, toolbar_sticky, visible, width, width_policy, window_axis, x_range, x_scale, y_range or y_scale"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Plotting one of the spectra to show properties\n",
|
||||
"\n",
|
||||
"# first load and get the data of sample 57 (arbitrary)\n",
|
||||
"sample = OFRSample(source_file = source_file, sample_number = 33)\n",
|
||||
"\n",
|
||||
"p = figure(width=600, height=400, x_axis_type='log')\n",
|
||||
"p.line(sample.Count.var, sample.Count.fct)\n",
|
||||
"\n",
|
||||
"p.show()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "2363080b",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "MA",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.13"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
Reference in new issue
Block a user