def beautify():
"""Customize figure presentation."""
#plt.xscale('log') # Does not work with matplotlib 0.91.2
a = plt.gca()
a.set_xscale('log')
#Tick label handling
plt.xlabel('log10 of (ERT / ERTref)')
plt.ylabel('Proportion of functions')
logxticks()
beautifyECDF()
def beautify():
"""Customize figure presentation."""
#plt.xscale('log') # Does not work with matplotlib 0.91.2
a = plt.gca()
a.set_xscale('log')
#Tick label handling
plt.xlabel('log10 of (ERT / ERTref)')
plt.ylabel('Proportion of functions')
logxticks()
beautifyECDF()
def beautify():
"""Customize figure presentation."""
#plt.xscale('log') # Does not work with matplotlib 0.91.2
a = plt.gca()
a.set_xscale('log')
#Tick label handling
plt.xlim(xmin=1e-0)
plt.xlabel('log10 of (# f-evals / dimension)')
plt.ylabel('Proportion of function+target pairs')
ppfig.logxticks()
pprldistr.beautifyECDF()
def beautify():
"""Customize figure presentation."""
#plt.xscale('log') # Does not work with matplotlib 0.91.2
a = plt.gca()
a.set_xscale('log')
#Tick label handling
plt.xlim(xmin=1e-0)
plt.xlabel('log10 of (# f-evals / dimension)')
plt.ylabel('Proportion of function+target pairs')
ppfig.logxticks()
pprldistr.beautifyECDF()
def beautify():
"""Customize figure presentation."""
# plt.xscale('log') # Does not work with matplotlib 0.91.2
a = plt.gca()
a.set_xscale("log")
# Tick label handling
plt.xlim(xmin=1e-0)
global divide_by_dimension
if divide_by_dimension:
plt.xlabel("log10 of (# f-evals / dimension)", fontsize=label_fontsize)
else:
plt.xlabel("log10 of # f-evals", fontsize=label_fontsize)
plt.ylabel("Proportion of function+target pairs", fontsize=label_fontsize)
ppfig.logxticks()
pprldistr.beautifyECDF()
