def collect_and_plot(files):
TS = []
location = []
for f in files:
temperatures = [
section[1] for section in parse.parse_file(f)[1:-1]
if section[1]['Plant'] == ['tmp']
]
for t in temperatures:
if t['Step'][0] != '0000-00-00.01:00:00':
print 'Not hourly readings of temperature. Abort.'
break
start_time = datetime.datetime.strptime(t['Start'][0],
"%Y-%m-%d.%H:%M:%S")
dates = pd.date_range(start=start_time,
periods=len(t['Value']),
freq='H')
data = [float(value.rsplit('/')[0]) for value in t['Value']]
TS.append(pd.Series(data=data, index=dates))
if location and t['Installation'][0] != location:
print 'Location changed during reading of gs2 files. Probably some bad grouping of gs2 files.'
location = t['Installation'][0]
if TS:
all_series = pd.concat(TS).sort_index()
all_series_no_duplicates = all_series.groupby(level=0).first()
all_series_no_duplicates.dump('temp_data.pickle')
sg.utils.plot_time_series([all_series_no_duplicates], ['b-'],
[location])
else:
print 'No temperature data.'
def _collect_and_plot(files):
TS = []
location = []
for f in files:
temperatures = [ section[1] for section in parse.parse_file(f)[1:-1] if section[1]['Plant'] == ['tmp'] ]
for t in temperatures:
if t['Step'][0] != '0000-00-00.01:00:00':
print 'Not hourly readings of temperature. Abort.'
break
dates = ts.date_array(start_date=ts.Date('H', t['Start'][0]), length=len(t['Value']))
data = [ float(value.rsplit('/')[0]) for value in t['Value'] ]
TS.append(ts.TimeSeries(data=data, dates=dates))
if location and t['Installation'][0] != location:
print 'Location changed during reading of gs2 files. Probably some bad grouping of gs2 files.'
location = t['Installation'][0]
if TS:
path = '/Users/tidemann/Documents/NTNU/devel/data/eklima/Telemark/'
for file in os.listdir(path):
try:
series = xml.parse(path + file)
sg.utils.plot_time_series([ts.concatenate((TS)), series], ['b-','r-'], [location, file])
except:
print file, 'had no data.'
else:
print 'No temperature data.'
def collect_and_plot(files):
TS = []
location = []
for f in files:
temperatures = [ section[1] for section in parse.parse_file(f)[1:-1] if section[1]['Plant'] == ['tmp'] ]
for t in temperatures:
if t['Step'][0] != '0000-00-00.01:00:00':
print 'Not hourly readings of temperature. Abort.'
break
start_time = datetime.datetime.strptime(t['Start'][0], "%Y-%m-%d.%H:%M:%S")
dates = pd.date_range(start=start_time, periods=len(t['Value']),
freq='H')
data = [ float(value.rsplit('/')[0]) for value in t['Value'] ]
TS.append(pd.Series(data=data, index=dates))
if location and t['Installation'][0] != location:
print 'Location changed during reading of gs2 files. Probably some bad grouping of gs2 files.'
location = t['Installation'][0]
if TS:
all_series = pd.concat(TS).sort_index()
all_series_no_duplicates = all_series.groupby(level=0).first()
all_series_no_duplicates.dump('temp_data.pickle')
sg.utils.plot_time_series([all_series_no_duplicates], ['b-'], [location])
else:
print 'No temperature data.'