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.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