def default_config(self):
try:
s = self.default_config_path.text()
except IOError:
return None
data = dumper.load(s, format=self.default_config_path.ext.strip('.'))
return data
def default_config(self):
try:
s = self.default_config_path.text()
except IOError:
return None
data = dumper.load(s, format=self.default_config_path.ext.strip('.'))
return data
def load(self, fzip):
fzip = path(fzip).abspath()
with ZipFile(fzip, 'r') as myzip:
# print myzip.filelist
fcsv = filter(
lambda x: x.filename.endswith('csv'), myzip.filelist)[0]
fyaml = filter(
lambda x: x.filename.endswith('yaml'), myzip.filelist)[0]
s = myzip.read(fyaml)
smeas = myzip.read(fcsv)
data = unbunchify(dumper.load(s, format='yaml'))
df = pd.read_csv(StringIO(smeas), index_col=0)
# print df
# print self.data
print '"%s" was loaded' % fzip
# self.project = self.data['project']
# self.json=s
data = bunchify(data)
# print data
data['measurements'] = df
# print data
return data
def load(self, fzip):
fzip = path(fzip).abspath()
with ZipFile(fzip, 'r') as myzip:
# print myzip.filelist
fcsv = filter(lambda x: x.filename.endswith('csv'),
myzip.filelist)[0]
fyaml = filter(lambda x: x.filename.endswith('yaml'),
myzip.filelist)[0]
s = myzip.read(fyaml)
smeas = myzip.read(fcsv)
data = unbunchify(dumper.load(s, format='yaml'))
df = pd.read_csv(StringIO(smeas), index_col=0)
# print df
# print self.data
print '"%s" was loaded' % fzip
# self.project = self.data['project']
# self.json=s
data = bunchify(data)
# print data
data['measurements'] = df
# print data
return data
