Adding multiple dictionaries into a single Dataframe pandas - pandas

Question

I have a set of python dictionaries that I have obtained by means of a for loop. I am trying to have these added to Pandas Dataframe.
Output for a variable called output
{'name':'Kevin','age':21}
{'name':'Steve','age':31}
{'name':'Mark','age':11}
I am trying to append each of these dictionary into a single Dataframe. I tried to perform the below but it just added the first row.
df = pd.DataFrame(output)
Could anyone advice as to where am going wrong and have all the dictionaries added to the Dataframe.
Update on the loop statement
The below code helps to read xml and convert it to a dataframe. Right now I see I am able to loop in through multiple xml files and created dictionaries for each xml file. I am trying to see how could I add each of these dictionaries to a single Dataframe:
def f(elem, result):
result[elem.tag] = elem.text
cs = elem.getchildren()
for c in cs:
result = f(c, result)
return result
result = {}
for file in allFiles:
tree = ET.parse(file)
root = tree.getroot()
result = f(root, result)
print(result)

Answer 1

You can append each dictionary to list and last call DataFrame constructor:
out = []
for file in allFiles:
tree = ET.parse(file)
root = tree.getroot()
result = f(root, result)
out.append(result)
df = pd.DataFrame(out)

Answer 2

We can add these dicts to a list:
ds = []
for ...: # your loop
ds += [d] # where d is one of the dicts
When we have the list of dicts, we can simply use pd.DataFrame on that list:
ds = [
{'name':'Kevin','age':21},
{'name':'Steve','age':31},
{'name':'Mark','age':11}
]
pd.DataFrame(ds)
Output:
name age
0 Kevin 21
1 Steve 31
2 Mark 11
Update:
And it's not a problem if different dicts have different keys, e.g.:
ds = [
{'name':'Kevin','age':21},
{'name':'Steve','age':31,'location': 'NY'},
{'name':'Mark','age':11,'favorite_food': 'pizza'}
]
pd.DataFrame(ds)
Output:
age favorite_food location name
0 21 NaN NaN Kevin
1 31 NaN NY Steve
2 11 pizza NaN Mark
Update 2:
Building up on our previous discussion in Python - Converting xml to csv using Python pandas we can do:
results = []
for file in glob.glob('*.xml'):
tree = ET.parse(file)
root = tree.getroot()
result = f(root, {})
result['filename'] = file # added filename to our results
results += [result]
pd.DataFrame(results)