def proposal_score_repartition(request, proposal_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'group', "%s-repartition.png" % proposal_id)
cache = get_content_cache(request, filename)
if cache:
return cache
proposal = get_object_or_404(Proposal, id=proposal_id)
maxeu = 0
#scores = [(0, MEP.objects.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value=0).distinct().count())]
scores = []
#for mep in MEP.objects.filter(score__proposal=proposal, groupmep__group=group):
for score_range in range(0, 100, 5):
meps = MEP.objects.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value__lt=score_range + 5, score__value__gte=score_range).distinct().count()
if meps > maxeu:
maxeu = meps
scores.append((score_range, meps))
#pyplot.bar(score_range/10 + 0.1, meps, color=map(lambda x: x/255., color(score_range + 5)))
scores.append((100, MEP.objects.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value=100).distinct().count()))
pyplot.plot(*zip(*scores))
#pyplot.legend(('MEPs',), 'best', shadow=False)
pyplot.title("Score repartition on %s" % proposal.short_name if proposal.short_name else proposal.title)
pyplot.xticks(range(0, 105, 5), range(0, 105, 5))
pyplot.xlabel("Score range 5 by 5")
pyplot.ylabel("MEPs")
#pyplot.axis([0, 10.1, 0, maxeu + 3])
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def bar_trends_for_mep(request, mep_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'meps', "%s-bar-scores.png" % mep_id)
cache = get_content_cache(request, filename)
if cache:
return cache
mep = get_object_or_404(MEP, id=mep_id)
score_list = sorted(mep.score_set.all(), key=lambda k: k.proposal.date)
scores = [s.value for s in score_list]
of_country = [s.of_country for s in score_list]
of_group = [s.of_group for s in score_list]
of_ep = [s.of_ep for s in score_list]
if not scores:
return HttpResponseNotFound
#a, b = numpy.polyfit(range(len(scores)), [int(x) for x in scores], 1)
#pyplot.plot([a*int(x) + b for x in range(len(scores))])
# line
pyplot.bar(map(lambda x: x+0.1, range(len(scores))), scores, width=0.2)
pyplot.bar(map(lambda x: x+0.3, range(len(scores))), of_group, width=0.2, color="red")
pyplot.bar(map(lambda x: x+0.5, range(len(scores))), of_ep, width=0.2, color="green")
pyplot.bar(map(lambda x: x+0.7, range(len(scores))), of_country, width=0.2, color="yellow")
pyplot.legend(('MEP', 'Group', 'Parliament', 'Country'), 'best', shadow=True)
pyplot.axis([0, len(scores), 0, 102])
pyplot.title("%s - Votes scores evolution over time" % (mep.full_name))
pyplot.xticks(map(lambda x: x+0.5, range(len(scores))), [k.proposal.short_name if k.proposal.short_name else k.proposal.date for k in score_list], rotation=-17)
pyplot.xlabel("Votes names or dates")
pyplot.ylabel("Scores on votes")
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request,filename, content_type="image/png")
def group_proposal_score_repartition(request, group_abbreviation, proposal_id):
group_id = group_abbreviation
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'group', get_language() + "-%s-%s-repartition.png" % (group_id, proposal_id))
cache = get_content_cache(request, filename)
if cache:
return cache
group = get_object_or_404(Group, abbreviation=group_id)
proposal = get_object_or_404(Proposal, id=proposal_id)
maxeu = 0
#for mep in MEP.objects.filter(score__proposal=proposal, groupmep__group=group):
scores = []
for score_range in range(0, 100, 5):
meps = group.mep_set.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value__lt=score_range + 5, score__value__gte=score_range).distinct().count()
if meps > maxeu:
maxeu = meps
#pyplot.bar(score_range/10 + 0.1, meps, color=map(lambda x: x/255., color(score_range + 5)))
scores.append((score_range, meps))
scores.append((100, group.mep_set.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value=100).distinct().count()))
pyplot.plot(*zip(*scores))
#pyplot.legend(('MEPs',), 'best', shadow=False)
pyplot.title(ugettext("Score repartition for %(abbr)s on %(proposal)s") % {"abbr": group.abbreviation, "proposal": proposal.short_name if proposal.short_name else proposal.title})
pyplot.xticks(range(0, 105, 5), range(0, 105, 5))
pyplot.xlabel(ugettext("Score range 5 by 5"))
pyplot.ylabel(ugettext("MEPs"))
#pyplot.axis([0, 20.1, 0, maxeu + 3])
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def get_mep_picture(request, ep_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'meps', u"%s.jpg" % ep_id)
cache = get_content_cache(request, filename, 'image/jpeg')
if cache:
return cache
check_dir(filename)
urllib.urlretrieve(UE_IMAGE_URL % ep_id, filename)
return send_file(request, filename, content_type='image/jpeg')
def get_mep_picture(request, ep_id):
filename = realpath(u".%simg/meps/%s.jpg" % (settings.MEDIA_URL, ep_id))
cache = get_content_cache(request, filename, 'image/jpeg')
if cache:
return cache
check_dir(filename)
urllib.urlretrieve(UE_IMAGE_URL % ep_id, filename)
return send_file(request, filename, content_type='image/jpeg')
def recommendation_countries(request, recommendation_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'recommendations', get_language() + "-%s-countries.png" % recommendation_id)
cache = get_content_cache(request, filename)
if cache:
return cache
recommendation = get_object_or_404(Recommendation, id=recommendation_id)
if recommendation.recommendation == "for":
for_color = "#00FF00"
against_color = "#FF0000"
else:
against_color = "#00FF00"
for_color = "#FF0000"
max_total = 0
countries = []
a = 0
no_date = False
for country in Country.objects.order_by('code'):
votes = Vote.objects.filter(recommendation=recommendation, representative__mep__countrymep__country=country, representative__mep__countrymep__begin__lte=recommendation.proposal.date, representative__mep__countrymep__end__gte=recommendation.proposal.date).distinct()
if not votes:
votes = Vote.objects.filter(recommendation=recommendation, representative__mep__countrymep__country=country).distinct()
no_date = True
if votes.count():
if not no_date:
all_meps = country.meps_on_date(recommendation.proposal.date).distinct().count()
else:
all_meps = country.meps.distinct().count()
if all_meps > max_total:
max_total = all_meps
_for = votes.filter(choice="for").distinct().count()
abstention = votes.filter(choice="abstention").distinct().count()
against = votes.filter(choice="against").distinct().count()
## not present
pyplot.bar(a + 0.1, all_meps - _for - abstention - against, width=0.8, bottom=_for + abstention + against , color="#AAAAAA")
## against
pyplot.bar(a + 0.1, against, width=0.8, bottom=_for + abstention, color=against_color)
## abstention
pyplot.bar(a + 0.1, abstention, width=0.8, bottom=_for, color="#FF8800")
## for
pyplot.bar(a + 0.1, _for, width=0.8, color=for_color)
countries.append(country.code)
a += 1
pyplot.legend((ugettext('Not present'), ugettext('against'), ugettext('abstention'), ugettext('for')), 'best', shadow=False)
pyplot.title(ugettext("Countries vote repartition on %(recommendation_part)s for %(recommandation_proposal)s") % {"recommendation_part": recommendation.part, "recommandation_proposal": recommendation.proposal.short_name if recommendation.proposal.short_name else recommendation.proposal.title})
pyplot.xticks(map(lambda x: x+0.5, range(len(countries))), countries)
pyplot.xlabel(ugettext("Countries"))
pyplot.ylabel(ugettext("Number of meps"))
pyplot.axis([0, len(countries), 0, max_total + 2])
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def group_proposal_score_stacked(request, proposal_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'group', get_language() + "-groups-%s-repartition-stacked.png" % proposal_id)
pyplot.figure(figsize=(8, 8))
cache = get_content_cache(request, filename)
if cache:
return cache
proposal = get_object_or_404(Proposal, id=proposal_id)
if proposal.institution != "EU":
return HttpResponse("")
group_color = {'ALDE': '#FFFF00',
'ELDR': '#FFFF00',
'ECR': '#000084',
'EFD': '#48D1CC',
'GUE/NGL': '#9C0000',
'IND/DEM': '#FF9900',
'EDD': '#FF9900',
'NI': '#848284',
'EPP': '#319AFF',
'PPE-DE': '#319AFF',
'SD': '#FF0000',
'PSE': '#FF0000',
'Greens/EFA': '#009A00',
'ITS': '#000000',
'UEN': '#05FBEE'}
group_bar = {}
maxeu = 0
#for mep in MEP.objects.filter(score__proposal=proposal, groupmep__group=group):
for score_range in range(0, 100, 10):
limit=0
for group in proposal.groups:
meps = group.mep_set.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value__lt=score_range + 10 if score_range != 90 else 101, score__value__gte=score_range).distinct().count()
if not meps:
meps = group.mep_set.filter(score__proposal=proposal, score__value__lt=score_range + 10 if score_range != 90 else 101, score__value__gte=score_range).distinct().count()
group_bar[group.abbreviation] = pyplot.bar(score_range/10 + 0.1, meps, width=0.8, bottom=limit, color=group_color.get(group.abbreviation, '#FFFFFF'))
limit+=meps
a, b = zip(*group_bar.items())
pyplot.legend(list(b), list(a), 'best', shadow=False)
pyplot.title(ugettext("Score repartition for groups on %(proposal)s") % {"proposal": proposal.short_name if proposal.short_name else proposal.title})
pyplot.xticks(range(11), range(0, 110, 10))
pyplot.xlabel(ugettext("Score on vote (range 10 by 10)"))
pyplot.ylabel(ugettext("Number of MEPs (by political group) with X points (for this vote)"))
#pyplot.axis([0, 10.1, 0, maxeu + 3])
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.figure(figsize=(8, 6))
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def recommendation_countries_absolute(request, recommendation_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'recommendations', "%s-countries-absolute.png" % recommendation_id)
cache = get_content_cache(request, filename)
if cache:
return cache
recommendation = get_object_or_404(Recommendation, id=recommendation_id)
if recommendation.recommendation == "for":
for_color = "#00FF00"
against_color = "#FF0000"
else:
against_color = "#00FF00"
for_color = "#FF0000"
countries = []
a = 0
no_date = False
for country in Country.objects.order_by('code'):
votes = Vote.objects.filter(recommendation=recommendation, representative__mep__countrymep__country=country, representative__mep__countrymep__begin__lte=recommendation.proposal.date, representative__mep__countrymep__end__gte=recommendation.proposal.date).distinct()
if not votes:
no_date = True
votes = Vote.objects.filter(recommendation=recommendation, representative__mep__countrymep__country=country).distinct()
if votes.count():
if not no_date:
all_meps = country.meps_on_date(recommendation.proposal.date).distinct().count()
else:
all_meps = country.meps.distinct().count()
_for = votes.filter(choice="for").distinct().count()
against = votes.filter(choice="against").distinct().count()
abstention = votes.filter(choice="abstention").distinct().count()
pyplot.bar(a + 0.1, 100, width=0.8, bottom= (against + abstention + _for) * 100. / all_meps, color="#AAAAAA")
## against
pyplot.bar(a + 0.1, against * 100. / all_meps, width=0.8, bottom= (abstention + _for) * 100. / all_meps, color=against_color)
## abstention
pyplot.bar(a + 0.1, abstention * 100. / all_meps, width=0.8, bottom= _for * 100. / all_meps, color="#FF8800")
## for
pyplot.bar(a + 0.1, _for * 100. / all_meps, width=0.8, color=for_color)
countries.append(country.code)
a += 1
#pyplot.legend(('Not present', 'against', 'abstention', 'for'), 'best', shadow=False)
pyplot.title("Normalized countries vote repartition on %s for %s" % (recommendation.part, recommendation.proposal.short_name if recommendation.proposal.short_name else recommendation.proposal.title))
pyplot.xticks(map(lambda x: x+0.5, range(len(countries))), countries)
pyplot.xlabel("Countries")
pyplot.ylabel("% of choices")
pyplot.axis([0, len(countries), 0, 100])
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def group_proposal_score(request, proposal_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'group', "groups-%s-repartition.png" % proposal_id)
cache = get_content_cache(request, filename)
if cache:
return cache
proposal = get_object_or_404(Proposal, id=proposal_id)
group_color = {'ALDE': '#FFFF00',
'ELDR': '#FFFF00',
'ECR': '#000084',
'EFD': '#48D1CC',
'GUE/NGL': '#9C0000',
'IND/DEM': '#FF9900',
'EDD': '#FF9900',
'NI': '#848284',
'EPP': '#319AFF',
'PPE-DE': '#319AFF',
'SD': '#FF0000',
'PSE': '#FF0000',
'Greens/EFA': '#009A00',
'ITS': '#000000',
'UEN': '#05FBEE'}
group_bar = {}
for group in proposal.groups:
if not group_color.get(group.abbreviation):
print group
maxeu = 0
#for mep in MEP.objects.filter(score__proposal=proposal, groupmep__group=group):
a = 0.1
for group in proposal.groups:
for score_range in range(0, 100, 10):
meps = group.mep_set.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value__lt=score_range + 10 if score_range != 90 else 101, score__value__gte=score_range).distinct().count()
if meps > maxeu:
maxeu = meps
group_bar[group.abbreviation] = pyplot.bar(score_range/10 + a, meps, width=0.1, color=group_color.get(group.abbreviation, '#FFFFFF'))
a += .1
a, b = zip(*group_bar.items())
pyplot.legend(list(b), list(a), 'best', shadow=False)
pyplot.title("Score repartition for groups on %s" % proposal.short_name if proposal.short_name else proposal.title)
pyplot.xticks(range(11), range(0, 110, 10))
pyplot.xlabel("Score range 10 by 10")
pyplot.ylabel("MEPs per group")
pyplot.axis([0, 10.1, 0, maxeu + 3])
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def recommendation_group(request, recommendation_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'recommendations', get_language() + "-%s-group.png" % recommendation_id)
cache = get_content_cache(request, filename)
if cache:
return cache
recommendation = get_object_or_404(Recommendation, id=recommendation_id)
if recommendation.recommendation == "for":
for_color = "#00FF00"
against_color = "#FF0000"
else:
against_color = "#00FF00"
for_color = "#FF0000"
groups = []
a = 0
for group in Group.objects.order_by('abbreviation'):
votes = Vote.objects.filter(recommendation=recommendation, representative__mep__groupmep__group=group, representative__mep__groupmep__begin__lte=recommendation.proposal.date, representative__mep__groupmep__end__gte=recommendation.proposal.date)
if not votes:
votes = Vote.objects.filter(recommendation=recommendation, representative__mep__groupmep__group=group)
if votes.count():
_for = votes.filter(choice="for").count()
abstention = votes.filter(choice="abstention").count()
against = votes.filter(choice="against").count()
# not present
pyplot.bar(a + 0.1, group.meps_on_date(recommendation.proposal.date).count() - against - _for - abstention, width=0.8, bottom=against + abstention + _for, color="#AAAAAA")
# against
pyplot.bar(a + 0.1, against, width=0.8, bottom=abstention + _for, color=against_color)
# abstention
pyplot.bar(a + 0.1, abstention, width=0.8, bottom=_for, color="#FF8800")
# for
pyplot.bar(a + 0.1, _for, width=0.8, color=for_color)
groups.append(group.abbreviation)
a += 1
pyplot.legend((ugettext('Not present'),ugettext('against'), ugettext('abstention'), ugettext('for')), 'best', shadow=False)
pyplot.title(ugettext("Group vote repartition"))
pyplot.xticks(map(lambda x: x+0.5, range(len(groups))), groups, rotation=-17)
pyplot.xlabel(ugettext("Groups"))
pyplot.ylabel(ugettext("Number of meps"))
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def comparaison_trends_for_mep(request, mep_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'meps', "%s-comparaison-scores.png" % mep_id)
cache = get_content_cache(request, filename)
if cache:
return cache
mep = get_object_or_404(MEP, id=mep_id)
score_list = sorted(mep.score_set.all(), key=lambda k: k.proposal.date)
scores = [s.value * s.proposal.ponderation for s in score_list]
maximum = [100 * s.proposal.ponderation for s in score_list]
#of_country = [s.of_country for s in score_list]
of_group = [s.of_group * s.proposal.ponderation for s in score_list]
of_ep = [s.of_ep * s.proposal.ponderation for s in score_list]
if not scores:
return HttpResponseNotFound
#a, b = numpy.polyfit(range(len(scores)), [int(x) for x in scores], 1)
#pyplot.plot([a*int(x) + b for x in range(len(scores))])
# line
maximum_bar = pyplot.bar(map(lambda x: x+0.3, range(len(scores))), maximum, width=0.4, color="#FFFFFF")
for i, j in zip(map(lambda x: x+0.3, range(len(scores))), score_list):
mep_bar = pyplot.bar(i, j.value * j.proposal.ponderation, width=0.4, color=map(lambda x: x/255., j.color_tuple))
#pyplot.bar(map(lambda x: x+0.3, range(len(scores))), scores, width=0.4, color=(1, 0, 0))
group_plot, = pyplot.plot(map(lambda x: x+0.5, range(len(scores))), of_group, 'bo', markersize=10)
ep_plot, = pyplot.plot(map(lambda x: x+0.5, range(len(scores))), of_ep, 'pg', markersize=10)
#pyplot.text(map(lambda x: x+0.5, range(len(scores))), maximum, [s.value for s in score_list])
for i, j, k in zip(map(lambda x: x[0]+0.28 if x[1] == 100.0 else x[0]+0.35, zip(range(len(scores)), [s.value for s in score_list])), maximum, [s.value for s in score_list]):
pyplot.text(i - .05, j + 10, str(k) + "%")
#pyplot.bar(map(lambda x: x+0.7, range(len(scores))), of_country, width=0.2, color="yellow")
pyplot.legend((maximum_bar, mep_bar, ep_plot, group_plot), ('Maximum', 'MEP', 'Parliament', 'Group'), 'best', shadow=False)
pyplot.axis([0, len(scores), 0, max(maximum) + 50])
pyplot.title("%s - Votes scores by vote importance" % (mep.full_name))
pyplot.yticks([])
pyplot.xticks(map(lambda x: x+0.5, range(len(scores))), [k.proposal.short_name if k.proposal.short_name else k.proposal.date for k in score_list], rotation=-17)
pyplot.xlabel("Votes names or dates")
pyplot.ylabel("Score by vote importance")
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def trends_for_mep(request, mep_id):
filename = realpath(".%simg/trends/meps/%s-scores.png" % (settings.MEDIA_URL,
mep_id))
cache = get_content_cache(request, filename)
if cache:
return cache
mep = get_object_or_404(MEP, id=mep_id)
score_list = sorted(mep.score_set.all(), key=lambda k: k.proposal.date)
scores = [s.value for s in score_list]
of_country = [s.of_country for s in score_list]
of_group = [s.of_group for s in score_list]
of_ep = [s.of_ep for s in score_list]
if not scores:
return HttpResponseNotFound
# blue dot
pyplot.plot(scores, 'bo')
a, b = numpy.polyfit(range(len(scores)), [int(x) for x in scores], 1)
pyplot.plot([a*int(x) + b for x in range(len(scores))])
# line
pyplot.plot(of_country, 'y--')
pyplot.plot(of_group, 'r--')
pyplot.plot(of_ep, 'b--')
pyplot.legend(('Scores', 'Median', 'Country', 'Group', 'Parliament'), 'best', shadow=True)
pyplot.plot(scores)
pyplot.axis([0, len(scores) - 1, 0, 102])
pyplot.title("%s - Votes scores evolution over time" % (mep.full_name))
pyplot.xticks(range(len(scores)), [k.proposal.date for k in score_list])
pyplot.xlabel("Votes dates")
pyplot.ylabel("Scores on votes")
check_dir(filename)
pyplot.savefig(filename, format="png")
pyplot.clf()
return send_file(request,filename, content_type="image/png")
def comparaison_trends_for_mep(request, mep_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'meps', get_language() + "-%s-comparaison-scores.png" % mep_id)
cache = get_content_cache(request, filename)
if cache:
return cache
mep = get_object_or_404(MEP, id=mep_id)
score_list = sorted(mep.score_set.all(), key=lambda k: k.proposal.date)
scores = [s.value * s.proposal.ponderation for s in score_list]
if not scores:
return HttpResponseNotFound
maximum = [100 * s.proposal.ponderation for s in score_list]
center = [x+0.5 for x in range(len(scores))]
of_group = [s.of_group * s.proposal.ponderation for s in score_list]
of_ep = [s.of_ep * s.proposal.ponderation for s in score_list]
maximum_bar = pyplot.bar(center, maximum, width=0.4, color="#FFFFFF", align='center')
mep_bar = pyplot.bar(center, scores, width=0.4, color=map(lambda z: map(lambda y: y/255., z.color_tuple), score_list), align='center')
group_plot, = pyplot.plot(center, of_group, 'bo', markersize=10)
ep_plot, = pyplot.plot(center, of_ep, 'pg', markersize=10)
for i, j, k in zip(center, maximum, [s.value for s in score_list]):
pyplot.text(i+0.02, j+18, str(k) + "%", horizontalalignment='center', verticalalignment='center')
pyplot.legend((maximum_bar, mep_bar, ep_plot, group_plot), (ugettext('Maximum'), ugettext('MEP'), ugettext('Parliament'), ugettext('Group')), 'best', shadow=False)
pyplot.axis([0, len(scores), 0, max(maximum) + 50])
pyplot.title(ugettext("%(mep_name)s - Votes scores by vote importance") % {"mep_name": mep.full_name})
pyplot.yticks([])
pyplot.xticks(map(lambda x: x+0.5, range(len(scores))), [k.proposal.short_name if k.proposal.short_name else k.proposal.date for k in score_list], rotation=-17)
pyplot.xlabel(ugettext("Votes names or dates"))
pyplot.ylabel(ugettext("Score by vote importance"))
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def trends_for_mep(request, mep_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'meps', get_language() + "-%s-scores.png" % mep_id)
cache = get_content_cache(request, filename)
if cache:
return cache
mep = get_object_or_404(MEP, id=mep_id)
score_list = sorted(mep.score_set.all(), key=lambda k: k.proposal.date)
scores = [s.value for s in score_list]
of_country = [s.of_country for s in score_list]
of_group = [s.of_group for s in score_list]
of_ep = [s.of_ep for s in score_list]
if not scores:
return HttpResponseNotFound
# blue dot
pyplot.plot(scores, 'bo')
a, b = numpy.polyfit(range(len(scores)), [int(x) for x in scores], 1)
pyplot.plot([a*int(x) + b for x in range(len(scores))])
# line
pyplot.plot(of_country, 'y--')
pyplot.plot(of_group, 'r--')
pyplot.plot(of_ep, 'b--')
pyplot.legend((ugettext('Scores'), ugettext('Median'), ugettext('Country'), ugettext('Group'), ugettext('Parliament')), 'best', shadow=True)
pyplot.plot(scores)
pyplot.axis([0, len(scores) - 1, 0, 102])
pyplot.title(ugettext("%(mep_name)s - Votes scores evolution over time") % {"mep_name": mep.full_name})
pyplot.xticks(range(len(scores)), [k.proposal.short_name if k.proposal.short_name else k.proposal.date for k in score_list], rotation=-17)
pyplot.xlabel(ugettext("Votes names or dates"))
pyplot.ylabel(ugettext("Scores on votes"))
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.clf()
return send_file(request,filename, content_type="image/png")
def group_proposal_score_heatmap(request, proposal_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'group', "groups-%s-repartition-heatmap.png" % proposal_id)
cache = get_content_cache(request, filename)
if cache:
return cache
proposal = get_object_or_404(Proposal, id=proposal_id)
countries= proposal.countries
groups = proposal.groups
fig = pyplot.figure(figsize=(len(countries) / 2.8, len(groups) / 2.8))
ax = fig.add_subplot(111)
ax.set_xlim(0, len(proposal.countries))
ax.set_ylim(0, len(groups))
biggest_group_of_a_country = 0
for country in countries:
for group in groups:
meps = MEP.objects.filter(score__proposal=proposal,
groupmep__end__gte=proposal.date,
groupmep__begin__lte=proposal.date,
countrymep__begin__lte=proposal.date,
countrymep__end__gte=proposal.date,
countrymep__country=country,
groupmep__group=group).distinct().count()
if meps > biggest_group_of_a_country:
biggest_group_of_a_country = meps
biggest_group_of_a_country = float(biggest_group_of_a_country)
a = 0
for country in countries:
b = 0
for group in groups:
meps = MEP.objects.filter(score__proposal=proposal,
groupmep__end__gte=proposal.date,
groupmep__begin__lte=proposal.date,
countrymep__begin__lte=proposal.date,
countrymep__end__gte=proposal.date,
countrymep__country=country,
groupmep__group=group).distinct().count()
score = Score.objects.filter(proposal=proposal,
representative__mep__groupmep__group=group,
representative__mep__groupmep__begin__lte=proposal.date,
representative__mep__groupmep__end__gte=proposal.date,
representative__mep__countrymep__country=country,
representative__mep__countrymep__begin__lte=proposal.date,
representative__mep__countrymep__end__gte=proposal.date).aggregate(Avg('value'))['value__avg']
if score:
ax.scatter(a + 0.5,b + 0.5, s=250*(meps/biggest_group_of_a_country),
c=map(lambda x: x/255., color(score)),
alpha=0.5)
b += 1
a += 1
#group_bar = {}
#scores = []
#maxeu = 0
#for score_range in range(0, 100, 10):
#meps = MEP.objects.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value__lt=score_range + 10 if score_range != 90 else 101, score__value__gte=score_range).distinct().count()
#if meps > maxeu:
#maxeu = meps
#scores.append(meps)
#for mep in MEP.objects.filter(score__proposal=proposal, groupmep__group=group):
#for group in proposal.groups:
#for score_range in range(0, 100, 10):
#meps = group.mep_set.filter(groupmep__end__gte=proposal.date, groupmep__begin__lte=proposal.date, score__proposal=proposal, score__value__lt=score_range + 10 if score_range != 90 else 101, score__value__gte=score_range).distinct().count()
#scores[score_range/10] -= meps
#group_bar[group.abbreviation] = pyplot.bar(score_range/10 + 0.1, meps + scores[score_range/10], width=0.8, color=group_color.get(group.abbreviation, '#FFFFFF'))
#a, b = zip(*group_bar.items())
#pyplot.legend(list(b), list(a), 'best', shadow=False)
pyplot.title("Heatmap of group/country on %s" % proposal.short_name if proposal.short_name else proposal.title)
#pyplot.xticks(range(11), range(0, 110, 10))
pyplot.xticks(map(lambda x: x + 0.5, range(len(countries))), map(lambda x: x.code, countries))
pyplot.yticks(map(lambda x: x + 0.5, range(len(groups))), map(lambda x: x.abbreviation, groups))
#pyplot.xlabel("Score range 10 by 10")
#pyplot.ylabel("MEPs per group")
#pyplot.axis([0, 10.1, 0, maxeu + 3])
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.figure(figsize=(8, 6))
pyplot.clf()
return send_file(request, filename, content_type="image/png")
def group_proposal_score_heatmap(request, proposal_id):
filename = join(settings.MEDIA_DIRECTORY, 'img', 'trends', 'group', get_language() + "-groups-%s-repartition-heatmap.png" % proposal_id)
cache = get_content_cache(request, filename)
if cache:
return cache
proposal = get_object_or_404(Proposal, id=proposal_id)
countries= proposal.countries
groups = proposal.groups
if proposal.institution != "EU":
return HttpResponse("")
fig = pyplot.figure(figsize=(len(countries) / 2.8, len(groups) / 2.8))
ax = fig.add_subplot(111)
ax.set_xlim(0, len(proposal.countries))
ax.set_ylim(0, len(groups))
biggest_group_of_a_country = 0
for country in countries:
for group in groups:
meps = MEP.objects.filter(score__proposal=proposal,
groupmep__end__gte=proposal.date,
groupmep__begin__lte=proposal.date,
countrymep__begin__lte=proposal.date,
countrymep__end__gte=proposal.date,
countrymep__country=country,
groupmep__group=group).distinct().count()
if not meps:
meps = MEP.objects.filter(score__proposal=proposal,
countrymep__country=country,
groupmep__group=group).distinct().count()
if meps > biggest_group_of_a_country:
biggest_group_of_a_country = meps
biggest_group_of_a_country = float(biggest_group_of_a_country)
a = 0.5
for country in countries:
b = 0.5
for group in groups:
meps = MEP.objects.filter(score__proposal=proposal,
groupmep__end__gte=proposal.date,
groupmep__begin__lte=proposal.date,
countrymep__begin__lte=proposal.date,
countrymep__end__gte=proposal.date,
countrymep__country=country,
groupmep__group=group).distinct().count()
if not meps:
meps = MEP.objects.filter(score__proposal=proposal,
countrymep__country=country,
groupmep__group=group).distinct().count()
score = Score.objects.filter(proposal=proposal,
representative__mep__groupmep__group=group,
representative__mep__groupmep__begin__lte=proposal.date,
representative__mep__groupmep__end__gte=proposal.date,
representative__mep__countrymep__country=country,
representative__mep__countrymep__begin__lte=proposal.date,
representative__mep__countrymep__end__gte=proposal.date).aggregate(Avg('value'))['value__avg']
if not score:
score = Score.objects.filter(proposal=proposal,
representative__mep__groupmep__group=group,
representative__mep__countrymep__country=country).aggregate(Avg('value'))['value__avg']
if score:
ax.scatter(a, b, s=280*(meps/biggest_group_of_a_country),
c=map(lambda x: x/255., color(score)),
alpha=0.6)
b += 1
a += 1
pyplot.title(ugettext("Heatmap of group/country on %(proposal)s") % {"proposal": proposal.short_name if proposal.short_name else proposal.title})
pyplot.xticks(map(lambda x: x + 0.5, range(len(countries))), map(lambda x: x.code, countries))
pyplot.yticks(map(lambda x: x + 0.5, range(len(groups))), map(lambda x: x.abbreviation, groups))
check_dir(filename)
pyplot.savefig(filename, format="png", bbox_inches='tight')
pyplot.figure(figsize=(8, 6))
pyplot.clf()
return send_file(request, filename, content_type="image/png")
