def fill_pcts(data):
for level in data:
for code in data[level]:
data[level][code]['gov_pct'] = utils.rounded_pct(data[level][code]['gov'],
data[level][code]['valid'])
data[level][code]['cap_pct'] = utils.rounded_pct(data[level][code]['cap'],
data[level][code]['valid'])
def fill_participation(data, apr14=True):
for level in data:
for code in data[level]:
if apr14:
data[level][code]['particip'] = \
utils.rounded_pct(data[level][code]['scrut_voters'],
data[level][code]['voters'])
else: # 7o
data[level][code]['particip'] = \
utils.rounded_pct(data[level][code]['voting_voters'],
data[level][code]['scrut_voters'])
def plot_pct_vs_cum_valid(votes, level, year):
codes_by_valid = sorted(votes, key=lambda code: votes[code]["valid"])
cumsums = cumsum_all(votes, codes_by_valid)
tuple_rounded_pct = lambda (n, d): utils.rounded_pct(n, d)
cumsum_gov_pct = map(tuple_rounded_pct, zip(cumsums["gov"], cumsums["valid"]))
cumsum_cap_pct = map(tuple_rounded_pct, zip(cumsums["cap"], cumsums["valid"]))
cumsum_null_pct = map(tuple_rounded_pct, zip(cumsums["null"], cumsums["valid"]))
utils.plot_wrap(
(
cumsums["valid"],
cumsum_gov_pct,
"r",
cumsums["valid"],
cumsum_cap_pct,
"b",
cumsums["valid"],
cumsum_null_pct,
"k",
),
title="Candidate %% vs cumulative valid votes, by %s" % level,
xlabel="Cumulative valid votes (by %s)" % level,
ylabel="Candidate % of votes",
filename="candidate_pct_vs_cum_valid_by_%s_%d.png" % (level, year),
)
