MatplotLib

Line Plot : plot() Multiple Subplot : subplot() images: imshow() Contouring and pseudocolor: pcolormesh(), countor() Histograms:Hist() Steamplot: stremplot(), quiver() Ellipses: Barcharts : bar() Pie charts : pie() Tables : table() Scatter Plots: scatterplot() GUI Widgets matplotlib.widgets Filled Curves : fill() Data Handling: matplotlib.ticker and matplotlib.dates Log Plots: semilogx(), semilogy(), loglog()

Polar PLot: polar() Legaends :Legaends() TeX notation for text objects : matplotlib.mathtext

#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.markeredgewidth : 1.0 ## the line width around the marker symbol #lines.markersize : 6 ## markersize, 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

PATCHES

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

circles. See

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

information on patch properties

#patch.linewidth : 1 ## edge width in points. #patch.facecolor : C0 #patch.edgecolor : k ## if forced, or patch is not filled #patch.force_edgecolor : False ## True to always use edgecolor #patch.antialiased : True ## render patches in antialiased (no jaggies)

HATCHES

#hatch.color : k #hatch.linewidth : 1.0

Boxplot

#boxplot.notch : False #boxplot.vertical : True #boxplot.whiskers : 1.5 #boxplot.bootstrap : None #boxplot.patchartist : False #boxplot.showmeans : False #boxplot.showcaps : True #boxplot.showbox : True #boxplot.showfliers : True #boxplot.meanline : False #boxplot.flierprops.color : k #boxplot.flierprops.marker : o #boxplot.flierprops.markerfacecolor : none #boxplot.flierprops.markeredgecolor : k #boxplot.flierprops.markersize : 6 #boxplot.flierprops.linestyle : none #boxplot.boxprops.color : k #boxplot.boxprops.linewidth : 1.0 #boxplot.boxprops.linestyle : - #boxplot.whiskerprops.color : k #boxplot.whiskerprops.linewidth : 1.0 #boxplot.whiskerprops.linestyle : - #boxplot.capprops.color : k #boxplot.capprops.linewidth : 1.0 #boxplot.capprops.linestyle : - #boxplot.medianprops.color : C1 #boxplot.medianprops.linewidth : 1.0 #boxplot.medianprops.linestyle : - #boxplot.meanprops.color : C2 #boxplot.meanprops.marker : ^ #boxplot.meanprops.markerfacecolor : C2 #boxplot.meanprops.markeredgecolor : C2 #boxplot.meanprops.markersize : 6 #boxplot.meanprops.linestyle : -- #boxplot.meanprops.linewidth : 1.0

Font

#font.family : sans-serif #font.style : normal #font.variant : normal #font.weight : normal #font.stretch : normal

#mathtext.cal : cursive #mathtext.rm : sans #mathtext.tt : monospace #mathtext.it : sans:italic #mathtext.bf : sans:bold #mathtext.sf : sans #mathtext.fontset : dejavusans ## Should be 'dejavusans' (default),

'dejavuserif', 'cm' (Computer Modern), 'stix',

'stixsans' or 'custom'

#mathtext.fallback_to_cm : True ## When True, use symbols from the Computer Modern

fonts when a symbol can not be found in one of

the custom math fonts.

http://matplotlib.org/api/axes_api.html#module-matplotlib.axes

#axes.facecolor : w ## axes background color #axes.edgecolor : k ## axes edge color #axes.linewidth : 0.8 ## edge linewidth #axes.grid : False ## display grid or not #axes.grid.axis : both ## which axis the grid should apply to #axes.grid.which : major ## gridlines at major, minor or both ticks #axes.titlesize : large ## fontsize of the axes title #axes.titleweight : normal ## font weight of title #axes.titlepad : 6.0 ## pad between axes and title in points #axes.labelsize : medium ## fontsize of the x any y labels #axes.labelpad : 4.0 ## space between label and axis #axes.labelweight : normal ## weight of the x and y labels #axes.labelcolor : k #axes.axisbelow : line ## draw axis gridlines and ticks below

patches (True); above patches but below

lines ('line'); or above all (False)

#axes.formatter.limits : -7, 7 ## use scientific notation if log10

of the axis range is smaller than the

first or larger than the second

#axes.formatter.offset_threshold : 4 ## When useoffset is True, the offset

will be used when it can remove

at least this number of significant

digits from tick labels.

#axes.spines.left : True ## display axis spines #axes.spines.bottom : True #axes.spines.top : True #axes.spines.right : True #axes.unicode_minus : True ## use unicode for the minus symbol

rather than hyphen. See

http://en.wikipedia.org/wiki/Plus_and_minus_signs

#date.autoformatter.year : %Y #date.autoformatter.month : %Y-%m #date.autoformatter.day : %Y-%m-%d #date.autoformatter.hour : %m-%d %H #date.autoformatter.minute : %d %H:%M #date.autoformatter.second : %H:%M:%S #date.autoformatter.microsecond : %M:%S.%f

TICKS

see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick

#xtick.top : False ## draw ticks on the top side #xtick.bottom : True ## draw ticks on the bottom side #xtick.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 : k ## color of the tick labels #xtick.labelsize : medium ## fontsize of the tick labels #xtick.direction : out ## direction: in, out, or inout #xtick.minor.visible : False ## visibility of minor ticks on x-axis #xtick.major.top : True ## draw x axis top major ticks #xtick.major.bottom : True ## draw x axis bottom major ticks #xtick.minor.top : True ## draw x axis top minor ticks #xtick.minor.bottom : True ## draw x axis bottom minor ticks #xtick.alignment : center ## alignment of xticks

#boxplot.flierprops.linewidth : 1.0

#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 : k ## color of the tick labels #ytick.labelsize : medium ## fontsize of the tick labels #ytick.direction : out ## direction: in, out, or inout #ytick.minor.visible : False ## visibility of minor ticks on y-axis #ytick.major.left : True ## draw y axis left major ticks #ytick.major.right : True ## draw y axis right major ticks #ytick.minor.left : True ## draw y axis left minor ticks #ytick.minor.right : True ## draw y axis right minor ticks #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

Dimensions as fraction of fontsize:

#legend.borderpad : 0.4 ## border whitespace #legend.labelspacing : 0.5 ## the vertical space between the legend entries #legend.handlelength : 2.0 ## the length of the legend lines #legend.handleheight : 0.7 ## the height of the legend handle #legend.handletextpad : 0.8 ## the space between the legend line and legend text #legend.borderaxespad : 0.5 ## the border between the axes and legend edge #legend.columnspacing : 2.0 ## column separation

FIGURE

See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure

#figure.titlesize : large ## size of the figure title (Figure.suptitle()) #figure.titleweight : normal ## weight of the figure title #figure.figsize : 6.4, 4.8 ## figure size in inches #figure.dpi : 100 ## figure dots per inch #figure.facecolor : w ## figure facecolor; 0.75 is scalar gray

#figure.edgecolor : w ## figure edgecolor #figure.frameon : True ## enable figure frame #figure.max_open_warning : 20 ## The maximum number of figures to open through

the pyplot interface before emitting a warning.

If less than one this feature is disabled.

The figure subplot parameters. All dimensions are a fraction of the

#figure.subplot.left : 0.125 ## the left side of the subplots of the figure #figure.subplot.right : 0.9 ## the right side of the subplots of the figure #figure.subplot.bottom : 0.11 ## the bottom of the subplots of the figure #figure.subplot.top : 0.88 ## the top of the subplots of the figure #figure.subplot.wspace : 0.2 ## the amount of width reserved for space between␣ ,→subplots,

IMAGES

#image.aspect : equal ## equal | auto | a number #image.interpolation : nearest ## see help(imshow) for options #image.cmap : viridis ## A colormap name, gray etc... #image.lut : 256 ## the size of the colormap lookup table #image.origin : upper ## lower | upper #image.resample : True #image.composite_image : True ## When True, all the images on a set of axes are

combined into a single composite image before

saving a figure as a vector graphics file,

such as a PDF.

CONTOUR PLOTS

#contour.negative_linestyle : dashed ## 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

installed, may also be `auto`

SCATTER PLOTS

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

Agg rendering

Warning: experimental, 2008/10/10

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

10000 to 100000 can improve speed slightly

and prevent an Agg rendering failure

when plotting very large data sets,

especially if they are very gappy.

It may cause minor artifacts, though.

A value of 20000 is probably a good

starting point.

PATHS

#path.simplify : True ## When True, simplify paths by removing "invisible"

points to reduce file size and increase rendering

speed

#path.simplify_threshold : 0.111111111111 ## The threshold of similarity below which

vertices will be removed in the

simplification process

#path.snap : True ## When True, rectilinear axis-aligned paths will be snapped to

the nearest pixel when certain criteria are met. When False,

paths will never be snapped.

#path.sketch : None ## May be none, or a 3-tuple of the form (scale, length,

randomness).

scale is the amplitude of the wiggle

perpendicular to the line (in pixels). length

is the length of the wiggle along the line (in

pixels). randomness is the factor by which

the length is randomly scaled.

#path.effects : [] ##

SAVING FIGURES

the default savefig params can be different from the display params

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

background white

#savefig.dpi : figure ## figure dots per inch or 'figure' #savefig.facecolor : w ## figure facecolor when saving #savefig.edgecolor : w ## figure edgecolor when saving #savefig.format : png ## png, ps, pdf, svg #savefig.bbox : standard ## 'tight' or 'standard'.

'tight' is incompatible with pipe-based animation

backends but will workd with temporary file based␣

,→ones:

e.g. setting animation.writer to ffmpeg will not work,

use ffmpeg_file instead

#savefig.pad_inches : 0.1 ## Padding to be used when bbox is set to 'tight' #savefig.jpeg_quality: 95 ## when a jpeg is saved, the default quality parameter. (continues on next page)

#savefig.directory : ~ ## default directory in savefig dialog box,

leave empty to always use current working directory

#savefig.transparent : False ## setting that controls whether figures are saved with a

transparent background by default

#savefig.frameon : True ## enable frame of figure when saving #savefig.orientation : portrait ## Orientation of saved␣ ,→figure

tk backend params

#tk.window_focus : False ## Maintain shell focus for TkAgg

ps backend params

#ps.papersize : letter ## auto, letter, legal, ledger, A0-A10, B0-B10 #ps.useafm : False ## use of afm fonts, results in small files #ps.usedistiller : False ## can be: None, ghostscript or xpdf

Experimental: may produce smaller files.

xpdf intended for production of publication␣

,→quality files,

but requires ghostscript, xpdf and ps2eps

#ps.distiller.res : 6000 ## dpi #ps.fonttype : 3 ## Output Type 3 (Type3) or Type 42 (TrueType)

pdf backend params

#pdf.compression : 6 ## integer from 0 to 9

0 disables compression (good for debugging)

#pdf.fonttype : 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:

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

path: Embed characters as paths -- supported by most SVG renderers

svgfont: Embed characters as SVG fonts -- supported only by Chrome,

Opera and Safari

#svg.hashsalt : None ## if not None, use this string as hash salt

instead of uuid4

pgf parameter

#pgf.rcfonts : True #pgf.preamble : #pgf.texsystem : xelatex #pgf.debug : False

docstring params

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

Event keys to interact with figures/plots via keyboard.

Customize these settings according to your needs.

Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')

#keymap.fullscreen : f, ctrl+f ## toggling #keymap.home : h, r, home ## home or reset mnemonic

#keymap.back : left, c, backspace ## forward / backward keys to enable #keymap.forward : right, v ## left handed quick navigation #keymap.pan : p ## pan mnemonic #keymap.zoom : o ## zoom mnemonic #keymap.save : s, ctrl+s ## saving current figure #keymap.quit : ctrl+w, cmd+w, q ## close the current figure #keymap.quit_all : W, cmd+W, Q ## 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.all_axes : a ## enable all axes

Control location of examples data files

#examples.directory : ## directory to look in for custom installation ###ANIMATION settings #animation.html : none ## How to display the animation as HTML in

the IPython notebook. 'html5' uses

HTML5 video tag; 'jshtml' creates a

Javascript animation

#animation.writer : ffmpeg ## MovieWriter 'backend' to use #animation.codec : h264 ## Codec to use for writing movie #animation.bitrate: -1 ## Controls size/quality tradeoff for movie.

-1 implies let utility auto-determine

#animation.frame_format: png ## Controls frame format used by temp files #animation.html_args: ## Additional arguments to pass to html writer #animation.ffmpeg_path: ffmpeg ## Path to ffmpeg binary. Without full path

$PATH is searched

#animation.ffmpeg_args: ## Additional arguments to pass to ffmpeg #animation.avconv_path: avconv ## Path to avconv binary. Without full path