def plot(self, pylab, axis, space, value, params={}):
params0 = dict(color_shadow=[1.0, 0.8, 0.8],
markers='k.',
markers_params={})
params0.update(params)
color_shadow = params0.pop('color_shadow')
markers = params0.pop('markers')
markers_params = params0.pop('markers_params')
if params0:
raise ValueError(params0)
self.axis = axis
self.check_plot_space(space)
minimals = [self._get_screen_coords(_, axis) for _ in value.minimals]
print 'minimals', minimals
R2 = PosetProduct((Rcomp(), Rcomp()))
v = R2.Us(minimals)
from mcdp_report.generic_report_utils import extra_space_finite
mcdp_dev_warning('incomplete PlotterUR')
logger.error('todo: change this to plot a line')
plot_upset_R2(pylab,
v,
axis,
extra_space_shadow=extra_space_finite,
color_shadow=color_shadow,
markers=markers,
marker_params=markers_params)
def plot(self, pylab, axis, space, value, params={}):
params0 = dict(color_shadow=[1.0, 0.8, 0.8],
markers='k.',
markers_params={})
params0.update(params)
color_shadow = params0['color_shadow']
markers = params0['markers']
markers_params = params0['markers_params']
self.check_plot_space(space)
# tu = get_types_universe()
# P_TO_S, _ = tu.get_embedding(space.P, self.S)
points2d = [self.toR2(self.P_to_S(_)) for _ in value.minimals]
R2 = PosetProduct((Rcomp(), Rcomp()))
class MyUpperSet(UpperSet):
def __init__(self, minimals, P):
self.minimals = frozenset(minimals)
self.P = P
v = MyUpperSet(points2d, P=R2)
plot_upset_R2(pylab,
v,
axis,
color_shadow=color_shadow,
markers=markers,
marker_params=markers_params)
def plot(self, pylab, axis, space, value, params={}):
params0 = dict(color_shadow=[1.0, 0.8, 0.8], markers="k.", markers_params={})
params0.update(params)
color_shadow = params0.pop("color_shadow")
markers = params0.pop("markers")
markers_params = params0.pop("markers_params")
if params0:
raise ValueError(params0)
self.axis = axis
self.check_plot_space(space)
minimals = [self._get_screen_coords(_, axis) for _ in value.minimals]
print "minimals", minimals
R2 = PosetProduct((Rcomp(), Rcomp()))
v = R2.Us(minimals)
from mcdp_report.generic_report_utils import extra_space_finite
mcdp_dev_warning("incomplete PlotterUR")
logger.error("todo: change this to plot a line")
plot_upset_R2(
pylab,
v,
axis,
extra_space_shadow=extra_space_finite,
color_shadow=color_shadow,
markers=markers,
marker_params=markers_params,
)
def plot(self, pylab, axis, space, value, params={}):
params0 = dict(color_shadow=[1.0, 0.8, 0.8], markers='k.',
markers_params={})
params0.update(params)
color_shadow = params0['color_shadow']
markers = params0['markers']
markers_params = params0['markers_params']
self.check_plot_space(space)
# tu = get_types_universe()
# P_TO_S, _ = tu.get_embedding(space.P, self.S)
points2d = [self.toR2(self.P_to_S(_)) for _ in value.minimals]
R2 = PosetProduct((Rcomp(), Rcomp()))
class MyUpperSet(UpperSet):
def __init__(self, minimals, P):
self.minimals = frozenset(minimals)
self.P = P
v = MyUpperSet(points2d, P=R2)
plot_upset_R2(pylab, v, axis,
color_shadow=color_shadow, markers=markers,
marker_params=markers_params)
def plot(self, pylab, axis, space, value, params={}):
params0 = dict(color_shadow=[1.0, 0.8, 0.8],
markers='k.',
markers_params={})
params0.update(params)
color_shadow = params0.pop('color_shadow')
markers = params0.pop('markers')
markers_params = params0.pop('markers_params')
if params0:
msg = 'Extra parameters given.'
raise_desc(ValueError, msg, params0=params0)
self.axis = axis
self.check_plot_space(space)
# tu = get_types_universe()
# P_TO_S, _ = tu.get_embedding(space.P, self.R2)
minimals = [
self._get_screen_coords(self.P_to_S(_), axis)
for _ in value.minimals
]
minimals = poset_minima(minimals, self.R2.leq)
v = self.R2.Us(minimals)
from mcdp_report.generic_report_utils import extra_space_finite
plot_upset_R2(pylab,
v,
axis,
extra_space_shadow=extra_space_finite,
color_shadow=color_shadow,
markers=markers,
marker_params=markers_params)
def report_plane2(data):
matplotlib_settings()
cs = CommonStats(data)
r = Report()
what_to_plot_res = dict(total_mass="kg", total_cost="USD")
what_to_plot_fun = dict(endurance="Wh", extra_payload="g")
plot_all_directions(r, queries=data['queries'], results=data['results'],
what_to_plot_res=what_to_plot_res,
what_to_plot_fun=what_to_plot_fun)
fig1 = dict(figsize=(3, 3))
fig2 = dict(figsize=(4, 4))
fnames = ('endurance', 'extra_payload')
rnames = ('total_cost', 'total_mass')
axis = (108, 145, 0.05, 0.8)
axis2 = (105, 111.5, 0.05, 0.27)
fs, rs = cs.iterate(fnames, rnames)
colors = get_colors(len(fs))
f = r.figure()
with f.plot('resources1', **fig1) as pylab:
ieee_spines_zoom3(pylab)
for i, ((f1, f2), resources) in enumerate(zip(fs, rs)):
color = colors[i]
if resources:
marker = 'k.'
else:
marker = 'x'
pylab.plot(f1, f2, marker, markerfacecolor=color, clip_on=False)
pylab.xlabel('endurance [min]')
pylab.ylabel('extra_payload [g]')
# pylab.xticks([0, 30, 60, 90, 120])
set_axis_colors(pylab, color_functions, color_functions)
params0 = dict(color_shadow=[1.0, 0.8, 0.8], markers='k.',
markers_params={})
color_shadow = params0['color_shadow']
markers = params0['markers']
P = parse_poset('dimensionless x dimensionless')
with f.plot('resources2', **fig2) as pylab:
ieee_spines_zoom3(pylab)
for i, resources in enumerate(rs):
v = P.Us(resources)
color = colors[i]
plot_upset_R2(pylab, v, axis, extra_space_shadow=0,
color_shadow=color, markers=markers,
marker_params=dict(markerfacecolor=color))
pylab.ylabel('total mass [kg]')
pylab.xlabel('total cost [USD]')
pylab.xticks([110, 120, 130, 140, 150])
# pylab.yticks([0.2, 0.25, 0.3, 0.35])
set_axis_colors(pylab, color_resources, color_resources)
pylab.axis(axis)
rs_subset = rs[:3]
with f.plot('resources3', **fig2) as pylab:
ieee_spines_zoom3(pylab)
for i, resources in enumerate(rs_subset):
v = P.Us(resources)
color = colors[i]
plot_upset_R2(pylab, v, axis2, extra_space_shadow=0,
color_shadow=color, markers=markers,
marker_params=dict(markerfacecolor=color))
pylab.ylabel('total mass [kg]')
pylab.xlabel('total cost [USD]')
pylab.xticks([110, 110.5, 111,111.5,])
set_axis_colors(pylab, color_resources, color_resources)
return r
def report_plane2(data):
matplotlib_settings()
cs = CommonStats(data)
r = Report()
what_to_plot_res = dict(total_mass="kg", total_cost="USD")
what_to_plot_fun = dict(endurance="Wh", extra_payload="g")
plot_all_directions(r,
queries=data['queries'],
results=data['results'],
what_to_plot_res=what_to_plot_res,
what_to_plot_fun=what_to_plot_fun)
fig1 = dict(figsize=(3, 3))
fig2 = dict(figsize=(4, 4))
fnames = ('endurance', 'extra_payload')
rnames = ('total_cost', 'total_mass')
axis = (108, 145, 0.05, 0.8)
axis2 = (105, 111.5, 0.05, 0.27)
fs, rs = cs.iterate(fnames, rnames)
colors = get_colors(len(fs))
f = r.figure()
with f.plot('resources1', **fig1) as pylab:
ieee_spines_zoom3(pylab)
for i, ((f1, f2), resources) in enumerate(zip(fs, rs)):
color = colors[i]
if resources:
marker = 'k.'
else:
marker = 'x'
pylab.plot(f1, f2, marker, markerfacecolor=color, clip_on=False)
pylab.xlabel('endurance [min]')
pylab.ylabel('extra_payload [g]')
# pylab.xticks([0, 30, 60, 90, 120])
set_axis_colors(pylab, color_functions, color_functions)
params0 = dict(color_shadow=[1.0, 0.8, 0.8],
markers='k.',
markers_params={})
color_shadow = params0['color_shadow']
markers = params0['markers']
P = parse_poset('dimensionless x dimensionless')
with f.plot('resources2', **fig2) as pylab:
ieee_spines_zoom3(pylab)
for i, resources in enumerate(rs):
v = P.Us(resources)
color = colors[i]
plot_upset_R2(pylab,
v,
axis,
extra_space_shadow=0,
color_shadow=color,
markers=markers,
marker_params=dict(markerfacecolor=color))
pylab.ylabel('total mass [kg]')
pylab.xlabel('total cost [USD]')
pylab.xticks([110, 120, 130, 140, 150])
# pylab.yticks([0.2, 0.25, 0.3, 0.35])
set_axis_colors(pylab, color_resources, color_resources)
pylab.axis(axis)
rs_subset = rs[:3]
with f.plot('resources3', **fig2) as pylab:
ieee_spines_zoom3(pylab)
for i, resources in enumerate(rs_subset):
v = P.Us(resources)
color = colors[i]
plot_upset_R2(pylab,
v,
axis2,
extra_space_shadow=0,
color_shadow=color,
markers=markers,
marker_params=dict(markerfacecolor=color))
pylab.ylabel('total mass [kg]')
pylab.xlabel('total cost [USD]')
pylab.xticks([
110,
110.5,
111,
111.5,
])
set_axis_colors(pylab, color_resources, color_resources)
return r
