def beautifyFVD(isStoringXMax=False, ylabel=True):
"""Formats the figure of the run length distribution.
This function is to be used with :py:func:`plotFVDistr`
:param bool isStoringMaxF: if set to True, the first call
:py:func:`beautifyFVD` sets the global
:py:data:`fmax` and all subsequent call
will have the same maximum xlim
:param bool ylabel: if True, y-axis will be labelled.
"""
a = plt.gca()
a.set_xscale('log')
if isStoringXMax:
global fmax
else:
fmax = None
if not fmax:
xmin, fmax = plt.xlim()
plt.xlim(1e-8, fmax) # 1e-8 was 1.
# axisHandle.invert_xaxis()
a.set_xlabel('log10 of Df') # / Dftarget
if ylabel:
a.set_ylabel('proportion of trials')
logxticks(limits=plt.xlim())
beautifyECDF()
if not ylabel:
a.set_yticklabels(())
def beautify():
"""Format the figure of the run length distribution.
Used in conjunction with plot method (obsolete/outdated, see functions ``beautifyFVD`` and ``beautifyRLD``).
"""
# raise NotImplementedError('this implementation is obsolete')
plt.subplot(121)
axisHandle = plt.gca()
axisHandle.set_xscale('log')
axisHandle.set_xlabel('log10 of FEvals / DIM')
axisHandle.set_ylabel('proportion of trials')
# Grid options
logxticks()
beautifyECDF()
plt.subplot(122)
axisHandle = plt.gca()
axisHandle.set_xscale('log')
xmin, fmax = plt.xlim()
plt.xlim(1., fmax)
axisHandle.set_xlabel('log10 of Df / Dftarget')
beautifyECDF()
logxticks()
axisHandle.set_yticklabels(())
plt.gcf().set_size_inches(16.35, 6.175)
def beautifyFVD(isStoringXMax = False, ylabel = True):
"""Formats the figure of the run length distribution.
This function is to be used with :py:func:`plotFVDistr`
:param bool isStoringMaxF: if set to True, the first call
:py:func:`beautifyFVD` sets the global
:py:data:`fmax` and all subsequent call
will have the same maximum xlim
:param bool ylabel: if True, y-axis will be labelled.
"""
a = plt.gca()
a.set_xscale('log')
if isStoringXMax:
global fmax
else:
fmax = None
if not fmax:
xmin, fmax = plt.xlim()
plt.xlim(1e-8, fmax) # 1e-8 was 1.
# axisHandle.invert_xaxis()
a.set_xlabel('log10 of Df') # / Dftarget
if ylabel:
a.set_ylabel('proportion of trials')
logxticks(limits = plt.xlim())
beautifyECDF()
if not ylabel:
a.set_yticklabels(())
def beautify():
"""Format the figure of the run length distribution.
Used in conjunction with plot method (obsolete/outdated, see functions ``beautifyFVD`` and ``beautifyRLD``).
"""
# raise NotImplementedError('this implementation is obsolete')
plt.subplot(121)
axisHandle = plt.gca()
axisHandle.set_xscale('log')
axisHandle.set_xlabel('log10 of FEvals / DIM')
axisHandle.set_ylabel('proportion of trials')
# Grid options
logxticks()
beautifyECDF()
plt.subplot(122)
axisHandle = plt.gca()
axisHandle.set_xscale('log')
xmin, fmax = plt.xlim()
plt.xlim(1., fmax)
axisHandle.set_xlabel('log10 of Df / Dftarget')
beautifyECDF()
logxticks()
axisHandle.set_yticklabels(())
plt.gcf().set_size_inches(16.35, 6.175)
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 beautifyRLD(xlimit_max = None):
"""Format and save the figure of the run length distribution.
After calling this function, changing the boundaries of the figure
will not update the ticks and tick labels.
"""
a = plt.gca()
a.set_xscale('log')
a.set_xlabel('log10 of FEvals / DIM')
a.set_ylabel('proportion of trials')
logxticks()
if xlimit_max:
plt.xlim(xmax = xlimit_max ** 1.0) # was 1.05
plt.xlim(xmin = runlen_xlimits_min)
plt.text(plt.xlim()[0], plt.ylim()[0], single_target_values.short_info, fontsize = 14)
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()
def beautifyRLD(xlimit_max=None):
"""Format and save the figure of the run length distribution.
After calling this function, changing the boundaries of the figure
will not update the ticks and tick labels.
"""
a = plt.gca()
a.set_xscale('log')
a.set_xlabel('log10 of FEvals / DIM')
a.set_ylabel('proportion of trials')
logxticks()
if xlimit_max:
plt.xlim(xmax=xlimit_max ** 1.0) # was 1.05
plt.xlim(xmin=runlen_xlimits_min)
plt.text(plt.xlim()[0], plt.ylim()[0], single_target_values.short_info, fontsize=14)
beautifyECDF()
