def download(date):
date = parse(date)
# Loop through wavelengths
for w, wlen in enumerate(wlens):
data_dir = '/whatever/'
fits_dir = os.path.join(data_dir, '{}/{:%Y/%m/%d}/'.format(wlen, date))
searchname = os.path.join(fits_dir, '*{:%H:%M}*fits'.format(date))
countfiles = glob.glob(searchname)
if countfiles == 1:
f = open('runfile_{}'.format(w), 'w')
f.write("python getdata.py {} {} {}".format(date, wlen, fits_dir))
f.close()
# Download data if not enough found
subprocess.call("qsub runfile_{}".format(w))
running = True
iterations = 0
while running:
if subprocess.check_output('qstat') != '':
running = False
elif iterations > 7200:
sleep(1)
iterations += 1
return
from matplotlib import use
use('agg')
import sys
from os.path import join, expanduser
CThome = expanduser(join('~', 'CoronaTemps'))
sys.path.append(CThome)
from temperature import TemperatureMap as TMap
from matplotlib import pyplot as plt
from sunpy.time import parse_time as parse
dates = ['2014-12-15 12:00', '2014-12-15 12:30', '2014-12-15 14:00']
completed = False
while completed == False:
try:
for date in dates:
thismap = TMap(date,
data_dir=join(CThome, 'data'),
maps_dir=CThome,
verbose=True)
thismap.save()
#thismap = thismap.submap([-1200, -200], [-500, 500], units='data')
fig = plt.figure(figsize=(32, 24))
thismap.plot()
plt.colorbar()
plt.savefig('t_{:%Y-%m-%d_%H-%M-%S}'.format(parse(thismap.date)))
plt.close()
completed = True
except:
print 'Failed - restarting'
def p95(data):
return np.percentile(data, 95)
def p5(data):
return np.percentile(data, 5)
fastdata = join('/fastdata', 'sm1ajl', 'thesis')
parameter = 'mean'
functions = {'mean': np.nanmean, 'max': np.nanmax, 'min': np.nanmin,
'95th %-ile': p95, '5th %-ile': p5}
savedir = join(fastdata, 'plots', 'chapter6', 'all_classes', '{}'.format(parameter.replace(' ', '_')))
start = parse('2011-02-01')
end = parse('2011-04-01')
client = hek.HEKClient()
flares = client.query(hek.attrs.Time(start, end),
hek.attrs.EventType('FL'))
flares = [fl for fl in flares if (fl['ar_noaanum'] > 11137 and
fl['ar_noaanum'] < 11184)]
ar_rad = 75
ar_temps_fltime = []
ar_temps_1 = []
ar_temps_10 = []
ar_temps_30 = []
fl_classes = []
# 'n 6.02-6.08']
if parameter == 'all':
pars = allpars[:8]
else:
pars = [parameter]
savedir = "/fastdata/sm1ajl/thesis/plots/chapter6/x_class/temperature/{}/".format(parameter.replace(' ', '_').replace('.', '_'))
print exists(savedir)
if density:
savedir = savedir.replace('temperature', 'density_{}'.format(density))
if not exists(savedir):
os.makedirs(savedir)
#flarefiles = glob.glob('/imaps/sspfs/archive/sdo/aia/flares/*/*.dat')
#print len(flarefiles)
start = parse('2010-07-14')
end = parse('2011-09-19')
client = hek.HEKClient()
allflares = client.query(hek.attrs.Time(start, end),
hek.attrs.EventType('FL'))
allflares = [fl for fl in allflares if (fl['fl_goescls'] != "" and fl['fl_goescls'][0] == 'X')]
print len(allflares)
ar_rad = 75
ar_temps_fltime = []
ar_temps_1 = []
ar_temps_10 = []
ar_temps_30 = []
fl_classes = []
if parameter == 'all':
pars = allpars[:8]
else:
pars = [parameter]
home = expanduser('~')
savedir = join(home, "tempplots/{}/".format(parameter.replace(' ', '_').replace('.', '_')))
if density:
savedir = savedir.replace('tempplots', 'densplots_{}'.format(density))
if not exists(savedir):
os.makedirs(savedir)
data_root = '/imaps/sspfs/archive/sdo/aia/drew_ar11166/'
ar_rad = 75
starttime = parse('2011-03-05')
endtime = parse('2011-03-13')
timerange = tr(starttime, endtime)
# Get Carrington coords of active region
client = hek.HEKClient()
ars = client.query(hek.attrs.Time(starttime, endtime),
hek.attrs.EventType('AR'),
hek.attrs.AR.NOAANum == 11166)
coords = ars[0]['hgc_x'], ars[0]['hgc_y']
print coords
# Define times for maps
delta = dt.timedelta(minutes=2)
ntimes = int(timerange.seconds()/delta.total_seconds())
alltimes = [time.start() for time in timerange.split(ntimes)]
from matplotlib import use
use('agg')
import sys
from os.path import join, expanduser
CThome = expanduser(join('~', 'CoronaTemps'))
sys.path.append(CThome)
from temperature import TemperatureMap as TMap
from matplotlib import pyplot as plt
from sunpy.time import parse_time as parse
dates = ['2014-12-15 12:00', '2014-12-15 12:30', '2014-12-15 14:00']
completed = False
while completed == False:
try:
for date in dates:
thismap = TMap(date, data_dir=join(CThome, 'data'), maps_dir=CThome, verbose=True)
thismap.save()
#thismap = thismap.submap([-1200, -200], [-500, 500], units='data')
fig = plt.figure(figsize=(32, 24))
thismap.plot()
plt.colorbar()
plt.savefig('t_{:%Y-%m-%d_%H-%M-%S}'.format(parse(thismap.date)))
plt.close()
completed = True
except:
print 'Failed - restarting'