In [1]:
import datetime
from matplotlib.dates import date2num
from pysurvey.plot import setup, dateticks, hcolorbar, line, icolorbar
In [2]:
def format_temp(x):
return float(x.replace('\xc2\xb0C',''))
def format_date(x):
return date2num(datetime.datetime.fromtimestamp(int(x)))
data = numpy.genfromtxt('/Users/ajmendez/data/.templog.axino.dat',
converters={0:format_date,
1:format_temp},
names=['date','temp'],
# dtype=[('date', np.float64),
# ('temp', np.float64)],
)
In [3]:
setup(figsize=(18,6), subplt=(1,2,1))
# pylab.plot(data['date'], data['temp'], '.')
sc = pylab.scatter(data['date'], data['temp'], c=data['date']-np.min(data['date']),
marker='.', edgecolor='none', label='Days since start',
cmap=pylab.cm.Spectral)
icolorbar(sc)
line(datetime.datetime.now())
# dateticks('%Y-%m-%d %H:%M')
dateticks('%Y-%m-%d', rotation=90)
setup(subplt=(1,2,2), xr=[0,24])
tmp = (data['date']%1)*24.0
sc = pylab.scatter(tmp, data['temp'], c=data['date']-np.min(data['date']),
marker='.', edgecolor='none', label='Days since start',
cmap=pylab.cm.Spectral)
# hcolorbar(sc, axes=[0.7, 0.99, 0.1,0.02])
icolorbar(sc)
Out[3]:
In [4]:
dates, uptimes = [],[]
with open('/Users/ajmendez/data/.uptime.axino.dat', 'r') as f:
for line in f.readlines():
dates.append(format_date(line.split(' ')[0]))
uptimes.append(float(line.split(':')[-1].split(' ')[1]))
dates, uptimes = map(np.array, [dates, uptimes])
In [5]:
setup(figsize=(18,6), subplt=(1,2,1),
ylabel='5 min avg load')
# pylab.plot(data['date'], data['temp'], '.')
sc = pylab.scatter(dates, uptimes, c=dates-np.min(dates),
marker='.', edgecolor='none', label='Days since start')
icolorbar(sc)
# dateticks('%Y-%m-%d %H:%M')
dateticks('%Y-%m-%d', rotation=90)
setup(subplt=(1,2,2), xr=[0,24], yr=[0,6],
title='vertical axis clipped',
xlabel='Hour of the day',
ylabel='5 min avg load')
tmp = (dates%1)*24.0
sc = pylab.scatter(tmp, uptimes, c=dates-np.min(dates),
marker='.', edgecolor='none', label='Days since start')
# hcolorbar(sc, axes=[0.7, 0.99, 0.1,0.02])
icolorbar(sc)
Out[5]:
In [5]: