Admin: Created page with "=Two dimension dictionary with embedded arrays= #Init Dict dict = {} '''#Inventory for Category Fruits''' dict['1000A'] = {} dict['1000A']['Category'] = 'Fruits' dict['1000A']['Items'] = 'Orange, Lemmon, Apple' dict['1000A']['Location'] = 'New York' '''#Inventory for Category Cars''' dict['1000B'] = {} dict['1000B']['Category'] = 'Cars' dict['1000B']['Items'] = 'Audi, BMW, Mercedes, VW' dict['1000B']['Location'] = 'London' '''#Inventory for Category Bikes''..."

2024-08-27T21:09:10Z

Created page with "=Two dimension dictionary with embedded arrays= #Init Dict dict = {} '''#Inventory for Category Fruits''' dict['1000A'] = {} dict['1000A']['Category'] = 'Fruits' dict['1000A']['Items'] = 'Orange, Lemmon, Apple' dict['1000A']['Location'] = 'New York' '''#Inventory for Category Cars''' dict['1000B'] = {} dict['1000B']['Category'] = 'Cars' dict['1000B']['Items'] = 'Audi, BMW, Mercedes, VW' dict['1000B']['Location'] = 'London' '''#Inventory for Category Bikes''..."

New page

=Two dimension dictionary with embedded arrays=

#Init Dict
dict = {}
'''#Inventory for Category Fruits'''
dict['1000A'] = {}
dict['1000A']['Category'] = 'Fruits'
dict['1000A']['Items'] = 'Orange, Lemmon, Apple'
dict['1000A']['Location'] = 'New York'
'''#Inventory for Category Cars'''
dict['1000B'] = {}
dict['1000B']['Category'] = 'Cars'
dict['1000B']['Items'] = 'Audi, BMW, Mercedes, VW'
dict['1000B']['Location'] = 'London'
'''#Inventory for Category Bikes'''
dict['1000C'] = {}
dict['1000C']['Category'] = 'Bikes'
dict['1000C']['Items'] = 'Ducati, KTM, Yamaha, Husquarna'
dict['1000C']['Location'] = 'Frankfurt'
#List the dict inventory
for pnt in dict:
print("-ID", pnt)
print("\t-Category", dict[pnt]['Category'])
print("\t-Location", dict[pnt]['Location'])
print("\t-Items:")
'''#Split the dict[pnt]['Items'] string, then strip and map into the set named items'''
items = map(str.strip, dict[pnt]['Items'].split(',')) #items contains now a set of dict[pnt]['Items']
for item in items:
print("\t\t-", item)

==Output==

-ID 1000A
-Category Fruits
-Location New York
-Items:
- Orange
- Lemmon
- Apple
-ID 1000B
-Category Cars
-Location London
-Items:
- Audi
- BMW
- Mercedes
- VW
-ID 1000C
-Category Bikes
-Location Frankfurt
-Items:
- Ducati
- KTM
- Yamaha
- Husquarna

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