The example below shows how to create a graph that is both aesthetically
pleasing and sensibly proportioned. I used these parameters to generate the
majority of the figures in my PhD thesis. The `savefig`

function can also be
used to save a pdf or an svg file for modification in your favorite image
editor (e.g. inkscape).

% load_ext autoreload
% autoreload 2
% pylab inline
import numpy as np
import seaborn as sns
rc ( 'text' , usetex = True )
plt . rc ( 'font' , family = 'Palatino' )
sns . set_style ( 'white' )
sns . set_context ( "notebook" , font_scale = 1.0 , rc = { "lines.linewidth" : 2 })
rc ( 'text' , usetex = True ) # use latex in the labels
pylab . rcParams [ 'figure.figsize' ] = ( 1.3 , 1.0 )
font = { 'family' : 'serif' ,
'serif' : 'Palatino' ,
'weight' : 'bold' ,
'size' : 11 }
matplotlib . rc ( 'font' , ** font )
# create the dummy data
x = np . linspace ( 0 , 2 * math . pi , 100 )
y = sin ( x )
z = cos ( x )
# plot that sucker
fig , ax = plt . subplots ()
ax . plot ( x , y , label = 'sin' )
ax . plot ( x , z , label = 'cos' )
ax . set_xlabel ( 'x' )
ax . set_ylabel ( 'y' )
ax . axvline ( x = 3 , color = 'red' , ls = 'dashed' )
ax . set_title ( 'Trigonometric Functions' , y = 1.08 )
ax . spines [ 'right' ] . set_visible ( False )
ax . spines [ 'top' ] . set_visible ( False )
pyplot . locator_params ( nbins = 7 )
for item in ([ ax . title , ax . xaxis . label , ax . yaxis . label ] +
ax . get_xticklabels () + ax . get_yticklabels ()):
item . set_fontsize ( 10 )
handles , labels = ax . get_legend_handles_labels ()
ax . legend ( handles , labels , bbox_to_anchor = ( 1.8 , 0.85 ))
plt . savefig ( 'img/trigonometric_functions.png' , dpi = 500 , bbox_inches = "tight" )