def __call__(self):
"""
Return a metaArray when called
"""
metainfo = self.metainfo
index = array(self.getcolumn(3), dtype=float)
data = array(self.getcolumn(4), dtype=float)
if linearChk(index, debug=self.debug) is not True:
raise ValueError("The index array is not linear")
# Write the data array as metaArray
ary = metaArray(data)
# Update the basic metaArray info
ary['name'] = self.name
ary['unit'] = metainfo['Vertical Units']
# Update the scaling info
ary['range']['begin'][0] = index[0]
ary['range']['end'][0] = index[-1]
ary['range']['unit'][0] = metainfo['Horizontal Units']
ary['range']['label'][0] = metainfo['Source']
# Include the rest of the metainfo into metaArray
for field, value in metainfo.items():
ary["TDS2.csv." + field] = value
ary.update_range()
return ary
def __call__(self):
"""
Return a metaArray when called
"""
metainfo = self.metainfo
index = array(self.getcolumn(3), dtype=float)
data = array(self.getcolumn(4), dtype=float)
if linearChk(index, debug=self.debug) is not True:
raise ValueError("The index array is not linear")
# Write the data array as metaArray
ary = metaArray(data)
# Update the basic metaArray info
ary['name'] = self.name
ary['unit'] = metainfo['Vertical Units']
# Update the scaling info
ary['range']['begin'][0] = index[0]
ary['range']['end'][0] = index[-1]
ary['range']['unit'][0] = metainfo['Horizontal Units']
ary['range']['label'][0] = metainfo['Source']
# Include the rest of the metainfo into metaArray
for field, value in metainfo.items():
ary["TDS2.csv."+field] = value
ary.update_range()
return ary
def __call__(self):
"""
Return a metaArray when called
"""
metainfo = self.metainfo
rcd_len = metainfo['Record Length']
index = csv_file.getcolumn(self, 0)[self.label_row:]
index_name = index[0]
index = array(index[1:rcd_len+1], dtype=float)
try:
data = csv_file.getcolumn(self, self.data_col)[self.label_row:]
metainfo['Source'] = data[0]
data = array(data[1:rcd_len+1], dtype=float)
except IndexError as err:
print("Data column doesn't exist:", err)
print("Defaulting to first data column")
data = csv_file.getcolumn(self, 1)[self.label_row:]
metainfo['Source'] = data[0]
data = array(data[1:rcd_len+1], dtype=float)
if linearChk(index, debug=self.debug) is not True:
raise ValueError("The index array is not linear")
# Write the data array as metaArray
ary = metaArray(data)
# Update the basic metaArray info
ary['unit'] = metainfo['Vertical Units']
if metainfo['Label'] is '':
ary['name'] = self.name
else:
ary['name'] = metainfo['Label']
# Update the scaling info
ary['range']['begin'][0] = index[0]
ary['range']['end'][0] = index[-1]
ary['range']['unit'][0] = metainfo['Horizontal Units']
ary['range']['label'][0] = index_name
# Include the rest of the metainfo into metaArray
for field, value in metainfo.items():
ary["DPO2.csv."+field] = value
ary.update_range()
return ary
def __call__(self):
"""
Return a metaArray when called
"""
metainfo = self.metainfo
rcd_len = metainfo['Record Length']
index = csv_file.getcolumn(self, 0)[self.label_row:]
index_name = index[0]
index = array(index[1:rcd_len + 1], dtype=float)
try:
data = csv_file.getcolumn(self, self.data_col)[self.label_row:]
metainfo['Source'] = data[0]
data = array(data[1:rcd_len + 1], dtype=float)
except IndexError as err:
print("Data column doesn't exist:", err)
print("Defaulting to first data column")
data = csv_file.getcolumn(self, 1)[self.label_row:]
metainfo['Source'] = data[0]
data = array(data[1:rcd_len + 1], dtype=float)
if linearChk(index, debug=self.debug) is not True:
raise ValueError("The index array is not linear")
# Write the data array as metaArray
ary = metaArray(data)
# Update the basic metaArray info
ary['unit'] = metainfo['Vertical Units']
if metainfo['Label'] is '':
ary['name'] = self.name
else:
ary['name'] = metainfo['Label']
# Update the scaling info
ary['range']['begin'][0] = index[0]
ary['range']['end'][0] = index[-1]
ary['range']['unit'][0] = metainfo['Horizontal Units']
ary['range']['label'][0] = index_name
# Include the rest of the metainfo into metaArray
for field, value in metainfo.items():
ary["DPO2.csv." + field] = value
ary.update_range()
return ary
