costs = {b['i']:b['cost'] for b in hdata.Bombers}
days = sorted(hhist.group_by_date(save.history))
data = []
for d in days:
profit.daily_profit(d, bombers, targets, classes, d[0]>=after if after else True, False)
bombers = {i:bombers[i] for i in bombers if bombers[i][3]}
results = {i: {k:v for k,v in bombers.iteritems() if v[0] == i} for i in xrange(save.ntypes)}
results[None] = {k:v for k,v in bombers.iteritems()}
full = {i: (len(results[i]), sum(costs[d[0]] for d in results[i].itervalues()), sum(v[1] for v in results[i].itervalues())) for i in results}
deadresults = {i: {k:v for k,v in results[i].iteritems() if not v[2]} for i in results}
dead = {i: (len(deadresults[i]), sum(costs[d[0]] for d in deadresults[i].itervalues()), sum(v[1] for v in deadresults[i].itervalues())) for i in results}
if opts.opti:
value = {i: full[i][2]/float(dead[i][1]) if dead[i][0] >= opts.min else None for i in results}
elif opts.dead:
value = {i: dead[i][2]/float(dead[i][1]) if dead[i][0] else None for i in results}
else:
value = {i: full[i][2]/float(full[i][1]) if full[i][0] else None for i in results}
if after is None or d[0]>=after:
data.append((d[0], value))
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
dates = zip(*data)[0]
values = dict(data)
gt = plt.plot_date([d.ordinal() for d in dates], [values[d][None] for d in dates], fmt='.-', color='g', tz=None, xdate=True, ydate=False, label='Overall', zorder=1)
for bi,b in enumerate(hdata.Bombers):
if not full[bi][0]: continue
gb = plt.plot_date([d.ordinal() for d in dates if hdata.inservice(d, b)], [values[d][bi] for d in dates if hdata.inservice(d, b)], fmt='o-', mew=0, color=extra[b['name']]['colour'], tz=None, xdate=True, ydate=False, label=b['name'], zorder=0)
ax.grid(b=True, axis='y')
if opts.legend: plt.legend(ncol=2, loc='upper left')
plt.show()
""" import sys import hhist, hdata, prodloss from extra_data import Bombers as extra import matplotlib.pyplot as plt if __name__ == '__main__': legend = '--nolegend' not in sys.argv entries = hhist.import_from_save(sys.stdin) data = prodloss.extract_prodloss(entries) fig = plt.figure() ax = fig.add_subplot(1,1,1) dates = [key.ordinal() for key in sorted(data)] total = [[sum(d[0] for d in data[key]), sum(d[1] for d in data[key])] for key in sorted(data)] top = max(zip(*total)[0]) bottom = min(zip(*total)[1]) plt.axis(ymax=max(top, -bottom), ymin=min(-top, bottom)) gt = plt.plot_date(dates, zip(*total)[0], fmt='k+-', tz=None, xdate=True, ydate=False, label='total', zorder=-2) gb = plt.plot_date(dates, zip(*total)[1], fmt='k+-', tz=None, xdate=True, ydate=False, label=None, zorder=-2) for bi,b in enumerate(hdata.Bombers.data): bprod = [data[key][bi][0] for key in sorted(data) if hdata.inservice(key, b)] bloss = [data[key][bi][1] for key in sorted(data) if hdata.inservice(key, b)] if not any(bprod+bloss): continue bdate = [key.ordinal() for key in sorted(data) if hdata.inservice(key, b)] gp = plt.plot_date(bdate, bprod, fmt='o-', mew=0, color=extra[b['name']]['colour'], tz=None, xdate=True, ydate=False, label=b['name'], zorder=0) gl = plt.plot_date(bdate, bloss, fmt='o-', mew=0, color=extra[b['name']]['colour'], tz=None, xdate=True, ydate=False, label=None, zorder=0) plt.axhline(y=0, xmin=0, xmax=1, c='k', zorder=-1) if legend: plt.legend(ncol=2) plt.show()
def i(d):
return hdata.inservice(d, f) and d >= lbc["date"]
def ins(m):
return hdata.inservice(m, f) or hdata.inservice(m.nextmonth(), f)
tz=None,
xdate=True,
ydate=False,
label='total',
zorder=-2)
gc = plt.plot_date(dates, [e['cash'] / 1e3 for e in data],
fmt='g+-',
tz=None,
xdate=True,
ydate=False,
label='cash',
zorder=2)
for bi, b in enumerate(hdata.Bombers.data):
bvalue = [
datum['bvalues'][bi] / 1e3 for datum in data
if hdata.inservice(datum['date'], b)
]
if not any(bvalue): continue
bdate = [
datum['date'].ordinal() for datum in data
if hdata.inservice(datum['date'], b)
]
gb = plt.plot_date(bdate,
bvalue,
fmt='o-',
mew=0,
color=extra[b['name']]['colour'],
tz=None,
xdate=True,
ydate=False,
label=b['name'],
if __name__ == "__main__":
showtotal = "--nototal" not in sys.argv
legend = "--nolegend" not in sys.argv
data = fighters.extract_fighters(sys.stdin)
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
cols = ["0.6", "0.4", "r", "y", "m", "g", "y", "b"]
dates = [datum["date"].ordinal() for datum in data]
lbc = hdata.Events.find("id", "L_BC")
if showtotal:
gt = plt.plot_date(
dates, [e["total"] for e in data], fmt="ko-", tz=None, xdate=True, ydate=False, label="total", zorder=-2
)
for fi, f in enumerate(hdata.Fighters.data):
gf = plt.plot_date(
[datum["date"].ordinal() for datum in data if hdata.inservice(datum["date"], f)],
[e["fighters"][fi] for e in data if hdata.inservice(e["date"], f)],
fmt="o-",
color=extra[f["name"]]["colour"],
tz=None,
xdate=True,
ydate=False,
label=f["name"],
zorder=0,
)
if f["radpri"]:
def i(d):
return hdata.inservice(d, f) and d >= lbc["date"]
gr = plt.plot_date(
tz=None,
xdate=True,
ydate=False,
label='total',
zorder=-2)
gtl = plt.plot_date([d.ordinal() for d in dates],
[-data[d]['total']['losses'] for d in dates],
fmt='k+-',
tz=None,
xdate=True,
ydate=False,
label=None,
zorder=-2)
for fi, f in enumerate(hdata.Fighters.data):
gfk = plt.plot_date(
[d.ordinal() for d in dates if hdata.inservice(d, f)],
[data[d]['kills'][fi] for d in dates if hdata.inservice(d, f)],
fmt='o-',
mew=0,
color=extra[f['name']]['colour'],
tz=None,
xdate=True,
ydate=False,
label=f['name'],
zorder=0)
gfl = plt.plot_date(
[d.ordinal() for d in dates if hdata.inservice(d, f)],
[-data[d]['losses'][fi] for d in dates if hdata.inservice(d, f)],
fmt='o-',
mew=0,
color=extra[f['name']]['colour'],
def ins(m): return hdata.inservice(m, b) or hdata.inservice(m.nextmonth(), b)
def i(d):
return hdata.inservice(d, f) and d >= lbc['date']
#!/usr/bin/python """fighterkillgraph - graph of enemy fighter kills & losses Requires matplotlib, see http://matplotlib.org or search your package manager (Debian: apt-get install python-matplotlib) """ import sys import hdata, fighterkill from extra_data import Fighters as extra import matplotlib.pyplot as plt if __name__ == '__main__': showtotal = '--nototal' not in sys.argv legend = '--nolegend' not in sys.argv data = fighterkill.extract_kills(sys.stdin) fig = plt.figure() ax = fig.add_subplot(1,1,1) dates = sorted(data.keys()) if showtotal: gtk = plt.plot_date([d.ordinal() for d in dates], [data[d]['total']['kills'] for d in dates], fmt='k+-', tz=None, xdate=True, ydate=False, label='total', zorder=-2) gtl = plt.plot_date([d.ordinal() for d in dates], [-data[d]['total']['losses'] for d in dates], fmt='k+-', tz=None, xdate=True, ydate=False, label=None, zorder=-2) for fi,f in enumerate(hdata.Fighters.data): gfk = plt.plot_date([d.ordinal() for d in dates if hdata.inservice(d, f)], [data[d]['kills'][fi] for d in dates if hdata.inservice(d, f)], fmt='o-', mew=0, color=extra[f['name']]['colour'], tz=None, xdate=True, ydate=False, label=f['name'], zorder=0) gfl = plt.plot_date([d.ordinal() for d in dates if hdata.inservice(d, f)], [-data[d]['losses'][fi] for d in dates if hdata.inservice(d, f)], fmt='o-', mew=0, color=extra[f['name']]['colour'], tz=None, xdate=True, ydate=False, label=None, zorder=0) if legend: plt.legend(ncol=2, loc='upper left') plt.show()
ax = fig.add_subplot(1, 1, 1)
cols = ['0.6', '0.4', 'r', 'y', 'm', 'g', 'y', 'b']
dates = [datum['date'].ordinal() for datum in data]
lbc = hdata.Events.find('id', 'L_BC')
if showtotal:
gt = plt.plot_date(dates, [e['total'] for e in data],
fmt='ko-',
tz=None,
xdate=True,
ydate=False,
label='total',
zorder=-2)
for fi, f in enumerate(hdata.Fighters.data):
gf = plt.plot_date([
datum['date'].ordinal()
for datum in data if hdata.inservice(datum['date'], f)
], [e['fighters'][fi] for e in data if hdata.inservice(e['date'], f)],
fmt='o-',
color=extra[f['name']]['colour'],
tz=None,
xdate=True,
ydate=False,
label=f['name'],
zorder=0)
if f['radpri']:
def i(d):
return hdata.inservice(d, f) and d >= lbc['date']
gr = plt.plot_date([
datum['date'].ordinal() for datum in data if i(datum['date'])
costs = {b['i']:b['cost'] for b in hdata.Bombers}
days = sorted(hhist.group_by_date(save.history))
data = []
for d in days:
profit.daily_profit(d, bombers, targets, classes, d[0]>=after if after else True, False)
bombers = {i:bombers[i] for i in bombers if bombers[i][3]}
results = {i: {k:v for k,v in bombers.iteritems() if v[0] == i} for i in xrange(save.ntypes)}
results[None] = {k:v for k,v in bombers.iteritems()}
full = {i: (len(results[i]), sum(costs[d[0]] for d in results[i].itervalues()), sum(v[1] for v in results[i].itervalues())) for i in results}
deadresults = {i: {k:v for k,v in results[i].iteritems() if not v[2]} for i in results}
dead = {i: (len(deadresults[i]), sum(costs[d[0]] for d in deadresults[i].itervalues()), sum(v[1] for v in deadresults[i].itervalues())) for i in results}
if opts.opti:
value = {i: full[i][2]/float(dead[i][1]) if dead[i][0] >= opts.min else None for i in results}
elif opts.dead:
value = {i: dead[i][2]/float(dead[i][1]) if dead[i][0] else None for i in results}
else:
value = {i: full[i][2]/float(full[i][1]) if full[i][0] else None for i in results}
if after is None or d[0]>=after:
data.append((d[0], value))
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
dates = zip(*data)[0]
values = dict(data)
gt = plt.plot_date([d.ordinal() for d in dates], [values[d][None] for d in dates], fmt='.-', color='g', tz=None, xdate=True, ydate=False, label='Overall', zorder=1)
for bi,b in enumerate(hdata.Bombers):
if not full[bi][0]: continue
gb = plt.plot_date([d.ordinal() for d in dates if hdata.inservice(d, b)], [values[d][bi] for d in dates if hdata.inservice(d, b)], fmt='o-', mew=0, color=extra[b['name']]['colour'], tz=None, xdate=True, ydate=False, label=b['name'], zorder=0)
ax.grid(b=True, axis='y')
if opts.legend: plt.legend(ncol=2, loc='upper left')
plt.show()
Requires matplotlib, see http://matplotlib.org or search your package manager (Debian: apt-get install python-matplotlib) """ import sys import hdata, value from extra_data import Bombers as extra import matplotlib.pyplot as plt if __name__ == '__main__': showtotal = '--nototal' not in sys.argv legend = '--nolegend' not in sys.argv projected = '--project' in sys.argv data = value.extract_value(sys.stdin) fig = plt.figure() ax = fig.add_subplot(1,1,1) dates = [datum['date'].ordinal() for datum in data] if projected: if showtotal: gt = plt.plot_date(dates, [(e['total']+e['cshr']*25)/1e3 for e in data], fmt='ko-', tz=None, xdate=True, ydate=False, label='total', zorder=-2) gp = plt.plot_date(dates, [(e['cshr']*25)/1e3 for e in data], fmt='gd-', tz=None, xdate=True, ydate=False, label='projected', zorder=2) else: if showtotal: gt = plt.plot_date(dates, [e['total']/1e3 for e in data], fmt='ko-', tz=None, xdate=True, ydate=False, label='total', zorder=-2) gc = plt.plot_date(dates, [e['cash']/1e3 for e in data], fmt='g+-', tz=None, xdate=True, ydate=False, label='cash', zorder=2) for bi,b in enumerate(hdata.Bombers.data): bvalue = [datum['bvalues'][bi]/1e3 for datum in data if hdata.inservice(datum['date'], b)] if not any(bvalue): continue bdate = [datum['date'].ordinal() for datum in data if hdata.inservice(datum['date'], b)] gb = plt.plot_date(bdate, bvalue, fmt='o-', mew=0, color=extra[b['name']]['colour'], tz=None, xdate=True, ydate=False, label=b['name'], zorder=0) if legend: plt.legend(ncol=2, loc='upper left') plt.show()
#!/usr/bin/python2
"""fightersgraph - graph of enemy fighter force
Requires matplotlib, see http://matplotlib.org or search your package
manager (Debian: apt-get install python-matplotlib)
"""
import sys
import hdata, fighters
from extra_data import Fighters as extra
import matplotlib.pyplot as plt
if __name__ == '__main__':
showtotal = '--nototal' not in sys.argv
legend = '--nolegend' not in sys.argv
data = fighters.extract_fighters(sys.stdin)
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
cols = ['0.6','0.4','r','y','m','g','y','b']
dates = [datum['date'].ordinal() for datum in data]
lbc = hdata.Events.find('id', 'L_BC')
if showtotal: gt = plt.plot_date(dates, [e['total'] for e in data], fmt='ko-', tz=None, xdate=True, ydate=False, label='total', zorder=-2)
for fi,f in enumerate(hdata.Fighters.data):
gf = plt.plot_date([datum['date'].ordinal() for datum in data if hdata.inservice(datum['date'], f)], [e['fighters'][fi] for e in data if hdata.inservice(e['date'], f)], fmt='o-', color=extra[f['name']]['colour'], tz=None, xdate=True, ydate=False, label=f['name'], zorder=0)
if f['radpri']:
def i(d):
return hdata.inservice(d, f) and d >= lbc['date']
gr = plt.plot_date([datum['date'].ordinal() for datum in data if i(datum['date'])], [e['radar'][fi] for e in data if i(e['date'])], fmt='o-', color=extra[f['name']]['2colour'], tz=None, xdate=True, ydate=False, label=None, zorder=0)
if legend: plt.legend(ncol=2, loc='upper left')
plt.show()
Requires matplotlib, see http://matplotlib.org or search your package manager (Debian: apt-get install python-matplotlib) """ import sys import hdata, value from extra_data import Bombers as extra import matplotlib.pyplot as plt if __name__ == '__main__': showtotal = '--nototal' not in sys.argv legend = '--nolegend' not in sys.argv projected = '--project' in sys.argv data = value.extract_value(sys.stdin) fig = plt.figure() ax = fig.add_subplot(1,1,1) dates = [datum['date'].ordinal() for datum in data] if projected: if showtotal: gt = plt.plot_date(dates, [(e['total']+e['cshr']*25)/1e3 for e in data], fmt='ko-', tz=None, xdate=True, ydate=False, label='total', zorder=-2) gp = plt.plot_date(dates, [(e['cshr']*25)/1e3 for e in data], fmt='gd-', tz=None, xdate=True, ydate=False, label='projected', zorder=2) else: if showtotal: gt = plt.plot_date(dates, [e['total']/1e3 for e in data], fmt='ko-', tz=None, xdate=True, ydate=False, label='total', zorder=-2) gc = plt.plot_date(dates, [e['cash']/1e3 for e in data], fmt='g+-', tz=None, xdate=True, ydate=False, label='cash', zorder=2) for bi,b in enumerate(hdata.Bombers.data): bvalue = [datum['bvalues'][bi]/1e3 for datum in data if hdata.inservice(datum['date'], b)] if not any(bvalue): continue bdate = [datum['date'].ordinal() for datum in data if hdata.inservice(datum['date'], b)] gb = plt.plot_date(bdate, bvalue, fmt='o-', mew=0, color=extra[b['name']]['colour'], tz=None, xdate=True, ydate=False, label=b['name'], zorder=0) if legend: plt.legend(ncol=2, loc='upper left') plt.show()
