Provides a custom plotting style for matplotlib and other libraries building on it like pandas or seaborn. The plotting style is set to aproximately the styles described in our wiki: https://wiki.cpi.imtek.uni-freiburg.de/ScientificWriting
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figure.dpi : 200 # figure dots per inch
figure.facecolor : w # figure facecolor
figure.figsize : 7, 4 # figure size in inches
figure.titlesize : 18 # size of the figure title
lines.linewidth : 2.0 # line width in points
axes.labelsize : 14 # fontsize of the x any y labels
axes.prop_cycle : cycler('color', ['1f77b4', 'ff7f0e', '2ca02c', 'd62728', '9467bd', '8c564b', 'e377c2', '7f7f7f', 'bcbd22', '17becf'])
# color cycle for plot lines
legend.fancybox : False # if True, use a rounded box for the
legend.fontsize : 14 # fontsize of the legend labels
legend.frameon : False # whether or not to draw a frame around legend
xtick.labelsize : 14 # fontsize of the tick labels
xtick.bottom : True # draw ticks on the bottom side
xtick.direction : in # direction: in, out, or inout
xtick.major.width : 1 # major tick width in points
xtick.minor.width : 1 # minor tick width in points
xtick.top : True # draw ticks on the top side
ytick.direction : in # direction: in, out, or inout
ytick.labelsize : 14 # fontsize of the tick labels
ytick.labelleft : True # show tick labels on the left side
ytick.labelright : False # show tick labels on the right side
ytick.left : True # draw ticks on the left side
ytick.major.width : 1 # major tick width in points
ytick.minor.width : 1 # minor tick width in points
ytick.right : True # draw ticks on the right side
image.cmap : Paired # gray jet etc...
savefig.dpi : 200 # figure dots per inch