## - a hex string, such as ff00ff

## - a scalar grayscale intensity such as 0.75

## - a legal html color name, e.g., red, blue, darkslategray

##### CONFIGURATION BEGINS HERE

## The default backend. If you omit this parameter, the first

## working backend from the following list is used:

## MacOSX Qt5Agg Qt4Agg Gtk3Agg TkAgg WxAgg Agg

## When True, open the webbrowser to the plot that is shown

#webagg.open_in_browser : True

## conflicts, we will automatically try to find a compatible one for

## you if backend_fallback is True

#backend_fallback: True

#markers.fillstyle: full ## full|left|right|bottom|top|none

#### PATCHES

## Patches are graphical objects that fill 2D space, like polygons or circles.

## See https://matplotlib.org/api/artist_api.html#module-matplotlib.patches

#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.notch : False

#boxplot.vertical : True

#boxplot.whiskers : 1.5

#font.fantasy : Comic Sans MS, Chicago, Charcoal, ImpactWestern, Humor Sans, xkcd, fantasy

#font.monospace : DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace

#### TEXT

## The text properties used by `text.Text`.

## See https://matplotlib.org/api/artist_api.html#module-matplotlib.text

## for more information on text properties

#text.color : black

#### LaTeX

## See following links for more information on LaTex properties:

## https://matplotlib.org/tutorials/text/usetex.html

## the special name "regular" for the same font

## used in regular text.

#### AXES

## Following are default face and edge colors, default tick sizes,

## default fontsizes for ticklabels, and so on. See

#polaraxes.grid : True ## display grid on polar axes

#axes3d.grid : True ## display grid on 3d axes

#### DATES

## These control the default format strings used in AutoDateFormatter.

## Any valid format datetime format string can be used (see the python

#date.autoformatter.second : %H:%M:%S

#date.autoformatter.microsecond : %M:%S.%f

#### TICKS

## See https://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick

#xtick.top : False ## draw ticks on the top side

#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.loc : best

#legend.frameon : True ## if True, draw the legend on a background patch

#legend.framealpha : 0.8 ## legend patch transparency

#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.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 | a number

#image.interpolation : nearest ## see help(imshow) for options

## saving a figure as a vector graphics file,

## such as a PDF.

#### CONTOUR PLOTS

#contour.negative_linestyle : dashed ## string or on-off ink sequence

#contour.corner_mask : True ## True | False | legacy

#### ERRORBAR PLOTS

#errorbar.capsize : 0 ## length of end cap on error bars in pixels

#### HISTOGRAM PLOTS

#hist.bins : 10 ## The default number of histogram bins.

## If Numpy 1.11 or later is

#scatter.marker : o ## The default marker type for scatter plots.

#scatter.edgecolors : face ## The default edgecolors for scatter plots.

#agg.path.chunksize : 0 ## 0 to disable; values in the range

## 10000 to 100000 can improve speed slightly

## and prevent an Agg rendering failure

## 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

## the length is randomly scaled.

#path.effects : [] ##

#### SAVING FIGURES

## e.g., you may want a higher resolution, or to make the figure

## background white

#savefig.dpi : figure ## figure dots per inch or 'figure'

#ps.distiller.res : 6000 ## dpi

#ps.fonttype : 3 ## Output Type 3 (Type3) or Type 42 (TrueType)

#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.image_inline : True ## write raster image data directly into the svg file

#svg.fonttype : path ## How to handle SVG fonts:

## none: Assume fonts are installed on the machine where the SVG will be viewed.

### docstring params

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

## Event keys to interact with figures/plots via keyboard.

## See https://matplotlib.org/users/navigation_toolbar.html for more details on

## interactive navigation. Customize these settings according to your needs.

#keymap.all_axes : a ## enable all axes

#keymap.copy : ctrl+c, cmd+c ## Copy figure to clipboard

#animation.html : none ## How to display the animation as HTML in

## the IPython notebook. 'html5' uses

## HTML5 video tag; 'jshtml' creates a