def get_parser(self):
p = self._parser
if p is None:
p = CSVColumnParser()
p.load(self.file_source_path)
self._parser = p
return p
def get_parser(self):
p = self._parser
if p is None:
p = CSVColumnParser()
p.load(self.file_source_path)
self._parser = p
return p
def _load_analyses(self):
from pychron.core.csv.csv_parser import CSVColumnParser
par = CSVColumnParser(delimiter=',')
par.load(self.path)
if par.check(('runid', 'age', 'age_err')):
return self._get_items_from_file(par)
else:
warning(None, 'Invalid file format. Minimum columns required are "runid", "age", "age_err"')
def set_items_from_file(self, p):
if os.path.isfile(p):
# def construct(d):
if p.endswith('.xls'):
self.information_dialog('Plotting Spectra from Excel file not yet implemented')
else:
par = CSVColumnParser(delimiter='\t')
par.load(p)
self.analyses = self._get_items_from_file(par)
self._update_analyses()
self.dump_tool()
def set_items_from_file(self, p):
if os.path.isfile(p):
# def construct(d):
if p.endswith('.xls'):
self.information_dialog(
'Plotting Spectra from Excel file not yet implemented')
else:
par = CSVColumnParser(delimiter='\t')
par.load(p)
self.analyses = self._get_items_from_file(par)
self._update_analyses()
self.dump_tool()
def _load_analyses(self):
from pychron.core.csv.csv_parser import CSVColumnParser
par = CSVColumnParser(delimiter=',')
par.load(self.path)
if par.check(('runid', 'age', 'age_err')):
return self._get_items_from_file(par)
else:
warning(
None,
'Invalid file format. Minimum columns required are "runid", "age", "age_err"'
)
def _load_csv_data(self, p):
if os.path.isfile(p):
parser = CSVColumnParser()
parser.load(p)
records = [CSVRecord(**row) for row in parser.values()]
records.extend((CSVRecord() for i in range(50 - len(records))))
self.records = records
self._make_groups()
self.data_path = p
self.dirty = False
def _load_analyses(self):
from pychron.core.csv.csv_parser import CSVColumnParser
par = CSVColumnParser(delimiter=',')
par.load(self.path)
return self._get_items_from_file(par)
def load(self, p):
cp = CSVColumnParser()
cp.load(p)
self._cp = cp
def _load_analyses(self):
from pychron.core.csv.csv_parser import CSVColumnParser
par = CSVColumnParser(delimiter=',')
par.load(self.path)
return self._get_items_from_file(par)
