def swi_graph(self,
dir,
name,
bcount=100,
conf=0.95,
x=None,
y=None,
multi=None,
m=None,
compare='',
sortby='',
width=8,
height=6,
dpi=80,
xvals='',
yvals='',
multivals='',
contour_n=100,
contour_min='',
contour_max='',
contour_lines=10,
contour_fmt='',
xlabel='',
ylabel='',
xtickrotation='0',
b_left='0.1',
b_bot='0.1',
b_top='0.1',
b_right='0.1'):
measures = m
params, settings, options, defaults = make_settings_table(dir)
setting = parse_setting_name(name)
s = stats.Stats('%s/%s' % (dir, name))
if x not in options or len(options[x]) <= 1: x = None
if y not in options or len(options[y]) <= 1: y = None
if multi not in options or len(options[multi]) <= 1: multi = None
if xvals is '' and x is not None:
xvals = ';'.join(['%s' % xx for xx in sorted(options[x])])
if yvals is '' and y is not None:
yvals = ';'.join(['%s' % yy for yy in sorted(options[y])])
if multivals is '' and multi is not None:
multivals = ';'.join(['%s' % yy for yy in sorted(options[multi])])
if x is None: xvals = ''
if y is None: yvals = ''
if multi is None: multivals = ''
if measures is None:
measures = list(sorted(s.measures()))
if len(measures) > 10: measures = measures[:10]
if type(measures) is str: measures = [measures]
imgargs = combine_args(
dict(bcount=bcount,
conf=conf,
x=x,
y=y,
multi=multi,
m=measures,
compare=compare,
width=width,
height=height,
dpi=dpi,
sortby=sortby,
xvals=xvals,
yvals=yvals,
multivals=multivals,
contour_n=contour_n,
contour_max=contour_max,
contour_min=contour_min,
contour_lines=contour_lines,
contour_fmt=contour_fmt,
xlabel=xlabel,
ylabel=ylabel,
xtickrotation=xtickrotation,
b_top=b_top,
b_bot=b_bot,
b_left=b_left,
b_right=b_right))
f_sort = T.div[T.label['Sort by:'],
T.input(type='text', name='sortby', value=sortby), ]
f_ci = T.div[T.label['Confidence Interval:'],
T.input(type='text', name='conf', value=conf),
T.label['Bootstrap Samples:'],
T.input(type='text', name='bcount', value=bcount), ]
f_compare = T.div[
T.label['Compare to:'],
T.input(type='text', name='compare', value=compare)[''], ]
f_size = T.div[T.label['Width:'],
T.input(type='text', name='width', value=width),
T.label['Height:'],
T.input(type='text', name='height', value=height),
T.label['DPI:'],
T.input(type='text', name='dpi', value=dpi), ]
f_axes = T.div[
T.label['X-Axis:'],
T.select(name='x', onchange='this.form.submit();')[
[T.option(**[{}, dict(selected='y')][x == None])['---']] + [
T.option(**[{}, dict(selected='y')][x == k])[k]
for k, v in sorted(options.items()) if len(v) > 1
]], T.label['values:'],
T.
input(type='text', name='xvals', value=[xvals, ''][xvals == None]),
T.br, T.label['Y-Axis:'],
T.select(name='y', onchange='this.form.submit();')[
[T.option(**[{}, dict(selected='y')][y == None])['---']] + [
T.option(**[{}, dict(selected='y')][y == k])[k]
for k, v in sorted(options.items()) if len(v) > 1
]], T.label['values:'],
T.
input(type='text', name='yvals', value=[yvals, ''][yvals == None]),
T.br, T.label['Multiline:'],
T.select(name='multi', onchange='this.form.submit();')
[[T.option(**[{}, dict(selected='y')][multi == None])['---']] + [
T.option(**[{}, dict(selected='y')][multi == k])[k]
for k, v in sorted(options.items()) if len(v) > 1
]], T.label['values:'],
T.input(type='text',
name='multivals',
value=[multivals, ''][multivals == None]), ]
f_labels = T.div[
T.label['Label X:'],
T.input(type='text', name='xlabel', value=xlabel),
T.label['Label Y:'],
T.input(type='text', name='ylabel', value=ylabel),
T.label['X-tick rotation:'],
T.input(type='text', name='xtickrotation', value=xtickrotation), ]
f_border = T.div[T.label['Left:'],
T.input(type='text', name='b_left', value=b_left),
T.label['Right:'],
T.input(type='text', name='b_right', value=b_right),
T.label['Top:'],
T.input(type='text', name='b_top', value=b_top),
T.label['Bottom:'],
T.input(type='text', name='b_bot', value=b_bot), ]
f_contour = T.div()
if x is not None and y is not None:
f_contour[
T.label['Contour Shading:'],
T.input(type='text', name='contour_n', size=5, value=contour_n
)]
f_contour[T.label['Lines:'],
T.input(type='text',
name='contour_lines',
size=5,
value=contour_lines)]
f_contour[T.br]
f_contour[
T.label['Contour Min:'],
T.input(
type='text', name='contour_min', size=5, value=contour_min
)]
f_contour[
T.label['Max:'],
T.input(
type='text', name='contour_max', size=5, value=contour_max
)]
f_contour[
T.label['Format:'],
T.input(
type='text', name='contour_fmt', size=6, value=contour_fmt
)]
params = T.table(border=1)
row1 = T.tr()
row2 = T.tr()
for k, vv in sorted(options.items()):
if len(vv) > 1:
row1[T.th[k]]
values = T.td()
vvlist = list(
sorted([convert_string_to_value(vvv) for vvv in vv]))
#vvlist=list(sorted(vv))
for i in range(len(vvlist)):
vvv = vvlist[i]
sval = setting.get(k, defaults[k])
if vvv == convert_string_to_value(sval) or vvv == sval:
values[T.b[vvv], T.br]
else:
setting2 = dict(setting)
setting2[k] = vvv
name2 = make_setting_name(dir, setting2)
values[T.a(href="/graph/%s/%s?%s" %
(dir, name2, imgargs))[vvv], T.br]
row2[values]
params[row1, row2]
f_measures = T.select(multiple='y', size=20, name='m')
for m in sorted(s.measures()):
if m in measures:
opt = T.option(value=m, selected='y')[m]
else:
opt = T.option(value=m)[m]
f_measures[opt]
src = '/graphpng/%s/%s?%s' % (dir, name, imgargs)
img = T.a(href=src + '&dpi=300')[T.img(src=src, style='float:right')]
form = T.form(
action="/graph/%s/%s" % (dir, name),
method="get")[img,
T.a(href='/stats/%s/%s' % (dir, name))['data'],
params, f_axes, f_contour, f_measures,
T.input(type='submit', value='Recalculate'), f_sort,
T.br, f_ci, T.br, #'N=%d'%s.N,T.br,
f_compare, T.br, f_size, T.br, f_labels, T.br,
f_border, T.br,
T.input(type='submit', value='Recalculate')]
return html(
'%s <small>%s</small>' % (T.a(href='/sim/%s' % dir)[dir], name),
form)
def swi_graph(self,dir,name,bcount=100,conf=0.95,x=None,y=None,multi=None,m=None,compare='',sortby='',width=8,height=6,dpi=80,
xvals='',yvals='',multivals='',contour_n=100,contour_min='',contour_max='',contour_lines=10,contour_fmt='',xlabel='',ylabel='',
xtickrotation='0',b_left='0.1',b_bot='0.1',b_top='0.1',b_right='0.1'):
measures=m
params,settings,options,defaults=make_settings_table(dir)
setting=parse_setting_name(name)
s=stats.Stats('%s/%s'%(dir,name))
if x not in options or len(options[x])<=1: x=None
if y not in options or len(options[y])<=1: y=None
if multi not in options or len(options[multi])<=1: multi=None
if xvals is '' and x is not None:
xvals=';'.join(['%s'%xx for xx in sorted(options[x])])
if yvals is '' and y is not None:
yvals=';'.join(['%s'%yy for yy in sorted(options[y])])
if multivals is '' and multi is not None:
multivals=';'.join(['%s'%yy for yy in sorted(options[multi])])
if x is None: xvals=''
if y is None: yvals=''
if multi is None: multivals=''
if measures is None:
measures=list(sorted(s.measures()))
if len(measures)>10: measures=measures[:10]
if type(measures) is str: measures=[measures]
imgargs=combine_args(dict(bcount=bcount,conf=conf,x=x,y=y,multi=multi,m=measures,compare=compare,width=width,height=height,dpi=dpi,
sortby=sortby,xvals=xvals,yvals=yvals,multivals=multivals,contour_n=contour_n,contour_max=contour_max,contour_min=contour_min,contour_lines=contour_lines,contour_fmt=contour_fmt,
xlabel=xlabel,ylabel=ylabel,xtickrotation=xtickrotation,b_top=b_top,b_bot=b_bot,b_left=b_left,b_right=b_right))
f_sort=T.div[
T.label['Sort by:'],T.input(type='text',name='sortby',value=sortby),
]
f_ci=T.div[
T.label['Confidence Interval:'],T.input(type='text',name='conf',value=conf),
T.label['Bootstrap Samples:'],T.input(type='text',name='bcount',value=bcount),
]
f_compare=T.div[
T.label['Compare to:'],T.input(type='text',name='compare',value=compare)[''],
]
f_size=T.div[
T.label['Width:'],T.input(type='text',name='width',value=width),
T.label['Height:'],T.input(type='text',name='height',value=height),
T.label['DPI:'],T.input(type='text',name='dpi',value=dpi),
]
f_axes=T.div[
T.label['X-Axis:'],T.select(name='x',onchange='this.form.submit();')[[T.option(**[{},dict(selected='y')][x==None])['---']]+[T.option(**[{},dict(selected='y')][x==k])[k] for k,v in sorted(options.items()) if len(v)>1]],
T.label['values:'],T.input(type='text',name='xvals',value=[xvals,''][xvals==None]),
T.br,
T.label['Y-Axis:'],T.select(name='y',onchange='this.form.submit();')[[T.option(**[{},dict(selected='y')][y==None])['---']]+[T.option(**[{},dict(selected='y')][y==k])[k] for k,v in sorted(options.items()) if len(v)>1]],
T.label['values:'],T.input(type='text',name='yvals',value=[yvals,''][yvals==None]),
T.br,
T.label['Multiline:'],T.select(name='multi',onchange='this.form.submit();')[[T.option(**[{},dict(selected='y')][multi==None])['---']]+[T.option(**[{},dict(selected='y')][multi==k])[k] for k,v in sorted(options.items()) if len(v)>1]],
T.label['values:'],T.input(type='text',name='multivals',value=[multivals,''][multivals==None]),
]
f_labels=T.div[
T.label['Label X:'],T.input(type='text',name='xlabel',value=xlabel),
T.label['Label Y:'],T.input(type='text',name='ylabel',value=ylabel),
T.label['X-tick rotation:'],T.input(type='text',name='xtickrotation',value=xtickrotation),
]
f_border=T.div[
T.label['Left:'],T.input(type='text',name='b_left',value=b_left),
T.label['Right:'],T.input(type='text',name='b_right',value=b_right),
T.label['Top:'],T.input(type='text',name='b_top',value=b_top),
T.label['Bottom:'],T.input(type='text',name='b_bot',value=b_bot),
]
f_contour=T.div()
if x is not None and y is not None:
f_contour[T.label['Contour Shading:'],T.input(type='text',name='contour_n',size=5,value=contour_n)]
f_contour[T.label['Lines:'],T.input(type='text',name='contour_lines',size=5,value=contour_lines)]
f_contour[T.br]
f_contour[T.label['Contour Min:'],T.input(type='text',name='contour_min',size=5,value=contour_min)]
f_contour[T.label['Max:'],T.input(type='text',name='contour_max',size=5,value=contour_max)]
f_contour[T.label['Format:'],T.input(type='text',name='contour_fmt',size=6,value=contour_fmt)]
params=T.table(border=1)
row1=T.tr()
row2=T.tr()
for k,vv in sorted(options.items()):
if len(vv)>1:
row1[T.th[k]]
values=T.td()
vvlist=list(sorted([convert_string_to_value(vvv) for vvv in vv]))
#vvlist=list(sorted(vv))
for i in range(len(vvlist)):
vvv=vvlist[i]
sval=setting.get(k,defaults[k])
if vvv==convert_string_to_value(sval) or vvv==sval:
values[T.b[vvv],T.br]
else:
setting2=dict(setting)
setting2[k]=vvv
name2=make_setting_name(dir,setting2)
values[T.a(href="/graph/%s/%s?%s"%(dir,name2,imgargs))[vvv],T.br]
row2[values]
params[row1,row2]
f_measures=T.select(multiple='y',size=20,name='m')
for m in sorted(s.measures()):
if m in measures:
opt=T.option(value=m,selected='y')[m]
else:
opt=T.option(value=m)[m]
f_measures[opt]
src='/graphpng/%s/%s?%s'%(dir,name,imgargs)
img=T.a(href=src+'&dpi=300')[T.img(src=src,style='float:right')]
form=T.form(action="/graph/%s/%s"%(dir,name),method="get")[
img,
T.a(href='/stats/%s/%s'%(dir,name))['data'],
params,
f_axes,
f_contour,
f_measures,T.input(type='submit',value='Recalculate'),
f_sort,T.br,
f_ci,T.br,#'N=%d'%s.N,T.br,
f_compare,T.br,
f_size,T.br,
f_labels,T.br,
f_border,T.br,
T.input(type='submit',value='Recalculate')
]
return html('%s <small>%s</small>'%(T.a(href='/sim/%s'%dir)[dir],name),form)
