def __init__(self, *fields, **attributes):
if self.abstract:
raise TypeError('abstract nodes are not instanciable')
if fields:
if len(fields) != len(self.fields):
if not self.fields:
raise TypeError('%r takes 0 arguments' %
self.__class__.__name__)
raise TypeError('%r takes 0 or %d argument%s' %
(self.__class__.__name__, len(self.fields),
len(self.fields) != 1 and 's' or ''))
for name, arg in izip(self.fields, fields):
setattr(self, name, arg)
for attr in self.attributes:
setattr(self, attr, attributes.pop(attr, None))
if attributes:
raise TypeError('unknown attribute %r' % next(iter(attributes)))
def __init__(self, *fields, **attributes):
if self.abstract:
raise TypeError('abstract nodes are not instanciable')
if fields:
if len(fields) != len(self.fields):
if not self.fields:
raise TypeError('%r takes 0 arguments' %
self.__class__.__name__)
raise TypeError('%r takes 0 or %d argument%s' % (
self.__class__.__name__,
len(self.fields),
len(self.fields) != 1 and 's' or ''
))
for name, arg in izip(self.fields, fields):
setattr(self, name, arg)
for attr in self.attributes:
setattr(self, attr, attributes.pop(attr, None))
if attributes:
raise TypeError('unknown attribute %r' %
next(iter(attributes)))
#Removes the NaN value objects from JSON
def nanRemover(data):
with open(data, 'r') as j:
json_dict = json.loads(j.read())
for typeObj in json_dict:
resource_node = typeObj['resource']
resource_node['data'] = [
item for item in resource_node['data']
if len([val for val in item['value'] if isnan(val)]) == 0
]
with open('Result5.json', 'w') as r:
r.write(json.dumps(json_dict, indent=4))
if __name__ == '__main__':
os.makedirs('Files', exist_ok=True)
os.makedirs('File', exist_ok=True)
time_convert()
file_list = os.listdir(r"File")
a = izip(*csv.reader(open("lakeside_upstream_TF.csv", "r")))
csv.writer(open("Files/ColtoRow.csv", "w")).writerows(a)
formatter("Files/ColtoRow.csv")
add_DeviceName("Files/Out.csv")
update_CSV("Files/Out.csv")
joinFinal("Files/Out1.csv", file_list)
nanRemover("Files/Data.json")
