Python extract_prodloss Examples

Example #1

#!/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()

Example #2

File: prodlossgraph.py Project: karem1020/harris

#!/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)

Example #3

File: plmonthgraph.py Project: akien-mga/harris

#!/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()