def __init__(self,
xlfile=EXPERIMENT_DB(),
sheet='DSC',
prompt=None,
debug=0):
# self._raw_columns = {
# 'Curve', [column, 'label']
# }
Experiment.__init__(self,
xlfile = xlfile,
sheet = sheet,
prompt = prompt,
delim = '\t',
txt_col = 6,
debug = debug)
self._raw_columns = {
'time:min' : [0, 'Time (min)'],
'heat:flow' : [1, 'Heat Flow (mW)'],
'temp:set' : [3, 'Set Point Temperature ($\degree$C)'],
'temp:act' : [4, 'Temperature ($\degree$C)'],
'heat:cal' : [6, 'Heat Flow Calibration']
}
self._ascii_file = self._path + os.sep + 'data' + os.sep + self.p.get('txt:file')
self._baseline_file = self._path + os.sep + 'data' + os.sep + self.p.get('baseline:file')
self._data_array = remove_with_blanks(
io.parse_ascii(self._ascii_file , '\t')[1:]
)
self._baseline_array = remove_with_blanks(
io.parse_ascii(self._baseline_file, '\t')[1:]
)
# if we have defined _raw_columns then add all of those curves (defined for each exp type)
if hasattr(self, '_raw_columns'):
self._curves = Curve(self._data_array,self._raw_columns)
self._baseline = Curve(self._baseline_array,self._raw_columns)
else:
self._curves = Curve(self._data_array)
self._baseline = Curve(self._baseline_array)
if hasattr(self, '_curves'):
self._curves.add('time:sec', self._curves['time:min']*60., 'Time (sec)')
self._curves.add('time:hr', self._curves['time:sec']/3600., 'Time (hr)')
self.subtract_baseline()
self.c = self._curves
self.pl = self._curves.ex_plot
self.twin = self._curves.ex_twinplot
self.sub = self._curves.ex_subplot
class DSC(Experiment):
"""
Analysis method that contains all pertinent information
for NETL-DSC data.
Most information comes from Experiment.__init__() with a few exceptions
procedure contains all pertinent information needed to calculate additional _curves
"""
def __init__(self,
xlfile=EXPERIMENT_DB(),
sheet='DSC',
prompt=None,
debug=0):
# self._raw_columns = {
# 'Curve', [column, 'label']
# }
Experiment.__init__(self,
xlfile = xlfile,
sheet = sheet,
prompt = prompt,
delim = '\t',
txt_col = 6,
debug = debug)
self._raw_columns = {
'time:min' : [0, 'Time (min)'],
'heat:flow' : [1, 'Heat Flow (mW)'],
'temp:set' : [3, 'Set Point Temperature ($\degree$C)'],
'temp:act' : [4, 'Temperature ($\degree$C)'],
'heat:cal' : [6, 'Heat Flow Calibration']
}
self._ascii_file = self._path + os.sep + 'data' + os.sep + self.p.get('txt:file')
self._baseline_file = self._path + os.sep + 'data' + os.sep + self.p.get('baseline:file')
self._data_array = remove_with_blanks(
io.parse_ascii(self._ascii_file , '\t')[1:]
)
self._baseline_array = remove_with_blanks(
io.parse_ascii(self._baseline_file, '\t')[1:]
)
# if we have defined _raw_columns then add all of those curves (defined for each exp type)
if hasattr(self, '_raw_columns'):
self._curves = Curve(self._data_array,self._raw_columns)
self._baseline = Curve(self._baseline_array,self._raw_columns)
else:
self._curves = Curve(self._data_array)
self._baseline = Curve(self._baseline_array)
if hasattr(self, '_curves'):
self._curves.add('time:sec', self._curves['time:min']*60., 'Time (sec)')
self._curves.add('time:hr', self._curves['time:sec']/3600., 'Time (hr)')
self.subtract_baseline()
self.c = self._curves
self.pl = self._curves.ex_plot
self.twin = self._curves.ex_twinplot
self.sub = self._curves.ex_subplot
def subtract_baseline(self):
self._curves.add(
'heat:sub',
self._curves['heat:flow'] - self._baseline['heat:flow'],
'Normalized Heat Flow (mW)')
# mg and mW cancel out
# also sampling is at one second
self._curves.add(
'heat:cap',
self._curves['heat:sub']/(
self._params['mass:act'] * abs(mean(
self._curves['temp:act'][:-1]-self._curves['temp:act'][1:]))),
'Specific Heat (J/(g*$\degree$C))')
