1π
β
def to_csv(self, data, options=None):
options = options or {}
data = self.to_simple(data, options)
raw_data = StringIO.StringIO()
first = True
if "meta" in data.keys():#if multiple objects are returned
objects = data.get("objects")
for value in objects:
test = {}
self.flatten(value, test)
if first:
writer = csv.DictWriter(raw_data, test.keys(), quotechar="'", quoting=csv.QUOTE_NONNUMERIC)
writer.writeheader()
writer.writerow(test)
first=False
else:
writer.writerow(test)
else:
test = {}
self.flatten(data, test)
if first:
writer = csv.DictWriter(raw_data, test.keys(), quotechar="'", quoting=csv.QUOTE_NONNUMERIC)
writer.writeheader()
writer.writerow(test)
first=False
else:
writer.writerow(test)
CSVContent=raw_data.getvalue()
return CSVContent
def flatten(self, data, odict = {}):
if isinstance(data, list):
for value in data:
self.flatten(value, odict)
elif isinstance(data, dict):
for (key, value) in data.items():
if not isinstance(value, (dict, list)):
odict[key] = value
else:
self.flatten(value, odict)
π€dilbert
0π
You can use the following function to_list
on each line you have:
def to_list(line):
idx = -1
for i, l in enumerate(line):
if type(l) is str and '{' in l and '}' in l:
idx = i
break
if idx != -1:
result = line[:idx] + eval(line[idx]).values() + line[idx+1:]
else:
result = line
return result
if __name__ == "__main__":
lst = [[1,"apricot","{'type':'fruit', 'cost':'medium'}"],
["beef","{'type':'animal', 'cost':'high'}", 3],
["meat", "sugar"],
["{'type':'car', 'cost':'nothing'}", "something"]]
for line in lst:
print to_list(line)
So for the following lists:
1, "apricot", "{'type':'fruit', 'cost':'medium'}"
"beef", "{'type':'animal', 'cost':'high'}", 3
"meat", "sugar"
"{'type':'car', 'cost':'nothing'}", "something"
You will get:
1, 'apricot', 'medium', 'fruit'
'beef', 'high', 'animal', 3
'meat', 'sugar'
'nothing', 'car', 'something'
As you can see it is not depending on the number of elements neither on the position of the JSON string.
π€daouzli
Source:stackexchange.com