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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
import datetime as dt | |
import numpy | |
import matplotlib | |
import matplotlib.pyplot as plt | |
import matplotlib.dates as md | |
import locale | |
from functools import reduce | |
locale.setlocale(locale.LC_ALL, "") | |
matplotlib.rcParams['font.family']='sans' | |
today = '2014-01-01' | |
#task pl_start pl_end ac_start ac_end progress | |
data = """ | |
A 2012-11-01 2012-12-31 2012-11-01 2012-12-31 1 | |
B 2013-01-01 2013-03-14 2013-01-01 2013-03-14 1 | |
C 2013-03-15 2014-04-30 2013-03-15 - .7 | |
D 2013-05-01 2013-06-30 2013-05-01 2013-06-30 1 | |
E 2013-07-01 2013-08-31 2013-07-01 2013-08-31 1 | |
F1 2013-09-01 2013-10-31 2013-09-01 2013-10-31 1 | |
F2 2013-09-01 2014-01-17 2013-09-01 - .8 | |
F3 2013-09-01 2014-01-30 2013-09-01 - .8 | |
F4 2013-09-01 2014-03-31 2013-09-01 - .6 | |
G1 2013-11-01 2013-11-27 2013-11-01 2013-11-27 1 | |
G2 2013-11-01 2014-01-17 2013-11-01 - .8 | |
L 2013-11-28 2013-12-19 2013-11-28 - 0 | |
M 2013-11-28 2014-01-17 2013-11-28 - .6 | |
N 2013-12-04 2014-03-02 2013-12-04 - .3 | |
O 2013-12-20 2014-01-17 2013-12-20 - .3 | |
P 2013-12-20 2014-02-16 2013-12-20 - .2 | |
Q 2014-01-05 2014-01-13 2013-12-25 - 1 | |
R 2014-01-18 2014-01-30 2013-12-18 - .5 | |
S 2014-01-31 2014-03-31 - - 0 | |
T 2014-03-01 2014-04-28 - - 0 | |
""" | |
datefmt = "%Y-%m-%d" | |
today = dt.datetime.strptime(today, datefmt) | |
data = [x.split() for x in data.split('\n')] | |
data = [x for x in data if len(x) == 6] | |
data = [{ | |
'label': x[0], | |
'planned_start': dt.datetime.strptime(x[1], datefmt), | |
'planned_end': dt.datetime.strptime(x[2], datefmt) + dt.timedelta(1), | |
'actual_start': today if x[3] == '-' else | |
dt.datetime.strptime(x[3], datefmt), | |
'actual_end': today if x[4] == '-' else | |
dt.datetime.strptime(x[4], datefmt) + dt.timedelta(1), | |
'progress': float(x[5]), | |
} for x in data] | |
for x in data: | |
s = x['planned_start'] | |
e = x['planned_end'] | |
r = x['progress'] | |
x.update(progress_date=s+(e-s)*r) | |
for x in data: | |
s = x['actual_start'] | |
e = x['actual_end'] | |
x.update(actual_end=e if e > s else s) | |
fig, ax = plt.subplots() | |
ax.hlines( | |
[x - 0.2 for x in range(len(data))], | |
[x['planned_start'] for x in data], | |
[x['planned_end'] for x in data], | |
linewidth=3, color='black', label='plan') | |
ax.hlines( | |
[x for x in range(len(data))], | |
[x['planned_start'] for x in data], | |
[x['progress_date'] for x in data], | |
linewidth=3, color='blue', label='Progress') | |
ax.hlines( | |
[x + 0.2 for x in range(len(data))], | |
[x['actual_start'] for x in data], | |
[x['actual_end'] for x in data], | |
linewidth=3, color='red', label='Performance') | |
def is_lightening(x, today): | |
p = x['progress'] | |
return p > 0 and p < 1 \ | |
or p > 0 and x['progress_date'] > today \ | |
or p < 1 and x['progress_date'] < today | |
lightening = [ | |
[(today, idx - 0.5), (today, idx - 0.3), | |
(x['progress_date'] if is_lightening(x, today) else today, idx), | |
(today, idx + 0.3), (today, idx + 0.5)] | |
for idx, x in enumerate(data)] | |
lightening = reduce(lambda x, y: x + y, lightening) | |
ax.plot( | |
[x[0] for x in lightening], | |
[x[1] for x in lightening], | |
linewidth=1, color='blue') | |
ax.xaxis.set_major_formatter(md.DateFormatter('%Y-%m')) | |
ax.xaxis.set_major_locator(md.MonthLocator()) | |
ax.xaxis.set_minor_locator(md.WeekdayLocator(byweekday=md.MO)) | |
ax.xaxis.grid(b=True) | |
ax.yaxis.set_ticklabels([x['label'] for x in data]) | |
ax.yaxis.set_ticks([idx for idx, x in enumerate(data)]) | |
ax.yaxis.grid(b=True) | |
ax.set_ylim(len(data), -1) | |
ax.legend(loc='lower left') | |
fig.autofmt_xdate() | |
plt.show() |
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