plotting.mplstyle

#### MATPLOTLIBRC FORMAT

## Matplotlib 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

#### LINES
## See http://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more
## information on line properties.

#### FONT
## font properties used by text.Text.  See
## http://matplotlib.org/api/font_manager_api.html for more
## information on font properties.
font.family          : serif
font.size:    10.0

#### TEXT
## text properties used by text.Text.  See
## http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more
## information on text properties

#### LATEX
## See http://wiki.scipy.org/Cookbook/Matplotlib/UsingTex
text.usetex         : True
text.latex.preamble : \usepackage{amsmath, amssymb, amsfonts, bm}

#### AXES
## default face and edge color, default tick sizes,
## default fontsizes for ticklabels, and so on.  See
## http://matplotlib.org/api/axes_api.html#module-matplotlib.axes
axes.facecolor:     f8f8f8     # axes background color
axes.grid:          True    # 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.spines.left:   True  # display axis spines
axes.spines.bottom: True
axes.spines.top:    True
axes.spines.right:  True

#### TICKS
## See http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
xtick.top:           False   # draw ticks on the top side
xtick.bottom:        False   # draw ticks on the bottom side
ytick.left:          False   # draw ticks on the left side
ytick.right:         False   # draw ticks on the right side


#### GRIDS
grid.color:     b0b0b0  # grid color
grid.alpha:     0.5     # transparency

#### LEGEND
## Dimensions as fraction of font size:
#legend.borderpad:     0.4  # border whitespace
legend.labelspacing:  0.33  # the vertical space between the legend entries


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


#### SAVING FIGURES
savefig.dpi          : figure   ## figure dots per inch or 'figure'
savefig.format       : pdf      ## png, ps, pdf, svg