I have a function which create several dicts of dicts, based on some conditions.
However, I would really like to turn the dict into a dataframe after collecting it.
You can flatten nested dictionaries 2 times for tuples for keys and pass to DataFrame.from_dict:
d1 = {(k1, k2, k3): v3
for k1, v1 in d.items()
for k2, v2 in v1.items()
for k3, v3 in v2.items()}
df = pd.DataFrame.from_dict(d1, orient='index')
#alternative
#df = pd.DataFrame(d1).T
print (df)
lowPrice lowDate highPrice highDate change
TSLA 2011 negative 185.16 05/27/19 365.71 12/10/18 -0.49
2012 negative 185.16 05/27/19 365.71 12/10/18 -0.49
2013 negative 32.91 01/07/13 37.24 03/26/12 -0.12
positive 32.91 01/07/13 190.9 09/23/13 4.8