def execute(self):
plt.ion()
if self.inc==0:
try:
pa(self.result_file+'.results').remove()
except:
pass
self.iterations = [self.inc]
self.targvalue = [[getattr(self, i) for i in self.targname]]
self.pre_plot()
else:
self.iterations.append(self.inc)
self.targvalue.append([getattr(self, i) for i in self.targname])
#print self.iterations,self.targvalue
#if self.inc % (2*self.wt_positions.shape[0]) == 0:
#self.refresh()
#plt.show()
self.save_plot('fig/'+self.png_name+'layout%d.png'%(self.inc))
self.inc += 1
def execute(self):
plt.ion()
if self.inc == 0:
try:
pa(self.result_file + '.results').remove()
except:
pass
self.iterations = [self.inc]
self.targvalue = [[getattr(self, i) for i in self.targname]]
self.pre_plot()
else:
self.iterations.append(self.inc)
self.targvalue.append([getattr(self, i) for i in self.targname])
#print self.iterations,self.targvalue
#if self.inc % (2*self.wt_positions.shape[0]) == 0:
#self.refresh()
#plt.show()
self.save_plot('fig/' + self.png_name + 'layout%d.png' % (self.inc))
self.inc += 1
def __init__(self, add_inputs, title='', **kwargs):
super(OffshorePlot, self).__init__(**kwargs)
self.fig = plt.figure(num=None, facecolor='w', edgecolor='k') #figsize=(13, 8), dpi=1000
self.shape_plot = self.fig.add_subplot(121)
self.objf_plot = self.fig.add_subplot(122)
self.targname = add_inputs
self.title = title
# Adding automatically the inputs
for i in add_inputs:
self.add(i, Float(0.0, iotype='in'))
#sns.set(style="darkgrid")
#self.pal = sns.dark_palette("skyblue", as_cmap=True)
plt.rc('lines', linewidth=1)
plt.ion()
self.force_execute = True
if not pa('fig').exists():
pa('fig').mkdir()
def __init__(self, add_inputs, title='', **kwargs):
super(OffshorePlot, self).__init__(**kwargs)
self.fig = plt.figure(num=None, facecolor='w',
edgecolor='k') #figsize=(13, 8), dpi=1000
self.shape_plot = self.fig.add_subplot(121)
self.objf_plot = self.fig.add_subplot(122)
self.targname = add_inputs
self.title = title
# Adding automatically the inputs
for i in add_inputs:
self.add(i, Float(0.0, iotype='in'))
#sns.set(style="darkgrid")
#self.pal = sns.dark_palette("skyblue", as_cmap=True)
plt.rc('lines', linewidth=1)
plt.ion()
self.force_execute = True
if not pa('fig').exists():
pa('fig').mkdir()
def execute(self):
dist_min = np.array([self.wt_dist[i] for i in range(self.wt_dist.shape[0]) ]).min()
dist_mean = np.array([self.wt_dist[i] for i in range(self.wt_dist.shape[0]) ]).mean()
if self.inc==0:
try:
pa(self.result_file+'.results').remove()
except:
pass
self.iterations = [self.inc]
self.targvalue = [[self.foundation_length, self.elnet_length, dist_mean, dist_min, self.net_aep]]
else:
self.iterations.append(self.inc)
self.targvalue.append([self.foundation_length, self.elnet_length, dist_mean, dist_min, self.net_aep])
self.targname = ['Foundation length', 'El net length', 'Mean WT Dist', 'Min WT Dist', 'AEP']
targarr = np.array(self.targvalue)
output = '%d:'%(self.inc) + ', '.join(['%s=%6.2f'%(self.targname[i], targarr[-1,i]) for i in range(len(self.targname))]) + '\n' # + str(self.wt_positions)
print output
with open(self.result_file+'.results','a') as f:
f.write(output)
self.inc += 1
def execute(self):
dist_min = np.array(
[self.wt_dist[i] for i in range(self.wt_dist.shape[0])]).min()
dist_mean = np.array(
[self.wt_dist[i] for i in range(self.wt_dist.shape[0])]).mean()
if self.inc == 0:
try:
pa(self.result_file + '.results').remove()
except:
pass
self.iterations = [self.inc]
self.targvalue = [[
self.foundation_length, self.elnet_length, dist_mean, dist_min,
self.net_aep
]]
else:
self.iterations.append(self.inc)
self.targvalue.append([
self.foundation_length, self.elnet_length, dist_mean, dist_min,
self.net_aep
])
self.targname = [
'Foundation length', 'El net length', 'Mean WT Dist',
'Min WT Dist', 'AEP'
]
targarr = np.array(self.targvalue)
output = '%d:' % (self.inc) + ', '.join([
'%s=%6.2f' % (self.targname[i], targarr[-1, i])
for i in range(len(self.targname))
]) + '\n' # + str(self.wt_positions)
print output
with open(self.result_file + '.results', 'a') as f:
f.write(output)
self.inc += 1
