I've seen this issue construct-pandas-dataframe-from-items-in-nested-dictionary. The difference is that here I consider Nested Dataframe In Dict.
My problem may seem to be confusing. Here's a simple example. Nested dataframe in dict:
d1=pd.DataFrame({'s':[1]})
d2=pd.DataFrame({'s':[2]})
d3=pd.DataFrame({'s':[3]})
d={'a':d1,
'b':d2,
'c':d3}
What I want is a dataframe like:
a b c
1 2 3
Since you dictionary contains dataframes as values, you can simply use pd.concat on the dictionary itself:
df = pd.concat(d, axis=1)
df.columns = df.columns.droplevel(-1)
The resulting dataframe will have multiindex columns, the last line will fix that.
I think you need to concat dataframes
dff = pd.DataFrame()
for i in list(d.keys()):
dff = pd.concat([dff,d[i]],axis=1)
dff.columns = ["a","b","c"]
