python-nested-dictionary - keys - python-3.x

Question

i am iterating a nested dictionary using dict.keys() method. code works well if the dictionary is nested however if the dictionary is not nested , it throws an error (i.e)
{"a":{1:'i'}}
for above dictionary the code works fine but following dictionary it fails
{"a":1}
In my iteration , I wish to not throw error if the dictionary is not having further keys. per requirement we may pass nested or non-nested dictionaries.
Following is the sample code:
global n
n=0
df = pd.DataFrame(index = np.arange(10), columns = ['column0'])
def iterate_dict(dict):
global n
for j in dict.keys()
df[n] = j
n = n+1
return dict
#function call
iterate_dict({"a":1})
Error Message:
AttributeError: 'str' object has no attribute 'keys'
Thanks for the help.

Answer 1

You must have tried calling iterate_dict({"a":1}) with string argument like iterate_dict("{a:1}") which gives error AttributeError: 'str' object has no attribute 'keys'.
Try using:
returned_dict = iterate_dict({"a": 1})
It should work.
Adding working code here:
import pandas as pd
import numpy as np
global n
n = 0
df = pd.DataFrame(index=np.arange(10), columns=['column0'])
def iterate_dict(dict):
global n
for j in dict.keys():
df[n] = j
n = n + 1
return dict
# function call
iterate_dict({"a": 1})
print(df.head())
OUTPUT
column0 0
0 NaN a
1 NaN a
2 NaN a
3 NaN a
4 NaN a