openpyxl : Update multiple columns & rows from dictionary - python-3.x

Question

I have a nested Dictionary
aDictionary = {'Asset': {'Name': 'Max', 'Age': 28, 'Job': 'Nil'}, 'Parameter': {'Marks': 60, 'Height': 177, 'Weight': 76}}
I want to update the values in an excel as follows
|Asset |Name |Max|
|Asset |Age |28 |
|Asset |Job |Nil|
|Parameter|Marks |60 |
|Parameter|Height|177|
|Parameter|Weight|76 |
I tried something like this, but result is not what I was expecting. Am pretty new to openpyxl. I can't seem to wrap my head around it.
from openpyxl import *
workbook=load_workbook('Empty.xlsx')
worksheet= workbook['Sheet1']
for m in range(1,7):
for i in aDictionary:
worksheet["A"+str(m)].value=i
for j, k in aDictionary[i].items():
worksheet["B"+str(m)].value=j
worksheet["C"+str(m)].value=k
workbook.save('Empty.xlsx')

Answer 1

One way to do this is to convert the Dictionary to a DataFrame and stack it the way you indicated, rearrange the columns and then load it into Excel. I've used pandas to_excel as it is a single line of code. But, you can use load_workbook() as well...
Stacking part was borrowed from here
Code
aDictionary = {'Asset': {'Name': 'Max', 'Age': 28, 'Job': 'Nil'}, 'Parameter': {'Marks': 60, 'Height': 177, 'Weight': 76}}
df = pd.DataFrame(aDictionary) # Convert to dataframe
df = df.stack().reset_index() # Stack
# Rearrange columns to the way you want it
cols = df.columns.tolist()
cols = list(df.columns.values)
cols[0], cols[1] = cols[1], cols[0]
df = df[cols]
#Write to Excel
df.to_excel('Empty.xlsx', sheet_name='Sheet1', index=False, header=None)
Output in Excel