#!/usr/bin/python
"""plmonthgraph - graph of production & losses, by month
Requires matplotlib, see http://matplotlib.org or search your package
manager (Debian: apt-get install python-matplotlib)
"""
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) # gives {date: [[prod, loss] for type]}
monthly = {}
month = min(data.keys())
last = max(data.keys())
while month <= last:
next = month.nextmonth()
monthly[month] = [[0, 0] for i,b in enumerate(hdata.Bombers)]
d = month.copy()
while d < next:
if d in data:
for i,b in enumerate(hdata.Bombers):
monthly[month][i][0] += data[d][i][0]
monthly[month][i][1] += data[d][i][1]
d = d.next()
month = next
fig = plt.figure()
#!/usr/bin/python2 """prodlossgraph - graph of production & losses Requires matplotlib, see http://matplotlib.org or search your package manager (Debian: apt-get install python-matplotlib) """ 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)
#!/usr/bin/python
"""plmonthgraph - graph of production & losses, by month
Requires matplotlib, see http://matplotlib.org or search your package
manager (Debian: apt-get install python-matplotlib)
"""
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) # gives {date: [[prod, loss] for type]}
monthly = {}
month = min(data.keys())
last = max(data.keys())
while month <= last:
next = month.nextmonth()
monthly[month] = [[0, 0] for i, b in enumerate(hdata.Bombers)]
d = month.copy()
while d < next:
if d in data:
for i, b in enumerate(hdata.Bombers):
monthly[month][i][0] += data[d][i][0]
monthly[month][i][1] += data[d][i][1]
d = d.next()
month = next
fig = plt.figure()
