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 __init__(self,
xlfile='',
sheet='',
text='',
prompt=None,
delim='\t',
txt_col = 6,
autoload=False,
debug = 0):
# Debug values from 0 -> 2
self._debug=debug
self._xl = xlfile
self._sh = sheet
# Figure out which experiment to process and prompt if not specified
# at startup
if prompt is None: prompt = io.prompted(xlfile, sheet)
# Get row, header, and key values
self._get_row_data(prompt)
# define filenames associated with experiment
# TODO find way to get txt_col information from SS directly
self._path = DATA_DIR() + os.sep + self._sh.lower()
self._ascii_file = self._path + os.sep + 'data' + os.sep + self._row[txt_col]
self._fig_dir = self._path + os.sep + 'figures' + os.sep
self._pick_file = self._path + os.sep + 'data' + os.sep + ('%02d-' % prompt) + os.path.splitext(self._row[txt_col])[0] + '.p'
self.__check__('File name: ',self._ascii_file)
# Import saved data (self._param and self._curves) or parse ASCII file
if os.path.isfile(self._pick_file) and autoload is True:
self._load()
elif os.path.isfile(self._ascii_file):
self._data_array = io.parse_ascii(self._ascii_file , delim)
# 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)
else:
self._curves = Curve(self._data_array)
self.c = self._curves
self.pl = self._curves.ex_plot
self.twin = self._curves.ex_twinplot
self.sub = self._curves.ex_subplot
if hasattr(self, '_row_params'):
self._params = Param(self._row,row_data=self._row_params, xl_keys=self._keys)
else:
self._params = Param(self._row,xl_keys=self._keys)
# Ease of use abbr
self.p = self._params
self.pg = self._params.get
else:
print '%s is not accessible.' % (self._ascii_file)
