python - Get a list of keys and values in a nested dictionary oriented by index -


i have excel file structure this:

name age status anna 35 single petr 27 married

i have converted such file nested dictionary structure this:

{'anna': {'age':35}, {'status': 'single'}}, {'petr': {'age':27}, {'status': 'married'}}

using pandas:

import pandas pd df = pd.read_excel('path/to/file') df.set_index('name',  inplace=true) print(df.to_dict(orient='index'))

but when running list(df.keys()) returns me list of keys in dictionary ('age', 'status', etc) not 'name'.

my eventual goal returns me keys , values typing name.

is possible somehow? or maybe should use other way import data in order achieve goal? should anyway come dictionary because merge other dictionaries key.

i think need parameter drop=false set_index not drop column name:

import pandas pd df = pd.read_excel('path/to/file')  df.set_index('name',  inplace=true, drop=false) print (df)       name  age   status name                     anna  anna   35   single petr  petr   27  married  d = df.to_dict(orient='index') print (d) {'anna': {'age': 35, 'status': 'single', 'name': 'anna'},   'petr': {'age': 27, 'status': 'married', 'name': 'petr'}}  print (list(df.keys())) ['name', 'age', 'status']

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