Create Dictionary with uneven lens - python-3.x

Question

This may sound a bit strange or silly but I am trying to create a dictionary or lists that can be referenced. Maybe if you look at the attached pic of my Excel would give you a better understanding.
I want the values of each row to be into a dictionary with say the key as 0 and different values as under Hostname, IP, GroupName and Port. the dictionary works with just the Hostname and IP as their length is same, but when i try to add the GroupName to the dict by using a lot of methods i found on Stackoverflow, it does not work as the length is not the same
enter image description here
Any help would be appreciated
Here is my code.
df = pd.read_excel("object.xlsx")
HostList =[]
IPList = []
for x in ExcelHostList:
for hostname in x:
if hostname not in HostList:
HostList.append(hostname)
for ips in ExcelIPList:
for ipadd in ips:
if ipadd not in IPList:
IPList.append(ipadd)
dict1 = dict(zip(HostList, IPList))
dict1
{'test1': '1.1.1.1', 'test2': '2.2.2.2', 'test3': '3.3.3.3', 'test4': '4.4.4.4', 'test5': '5.5.5.5', 'test6': '6.6.6.6'}
I have tried with making it a dict and then trying to combine them
ExcelHostList = (df["Hostname"].str.split("\n").to_dict())
ExcelIPList = (df["IP"].str.split("\n").to_dict())
ExcelGroupName = (df["GroupName"].to_dict())
dict2 = {z[0]: list(z[1:]) for z in zip(HostList, IPList, ExcelGroupName)}
dict2
{'test1': ['1.1.1.1', 'test-group-1'], 'test2': ['2.2.2.2', 'test-group-2'], 'test3': ['3.3.3.3', 'test-group-3']}

Answer 1

It's going to be very difficult to provide you with a good answer without more context about what exactly your end goal is for this data, but here are two ways you can consider structuring your data:
A list of dicts:
list_of_dicts = [
dict(
Hostname = ['test1', 'test2', 'test3',],
IP = ['1.1.1.1', '2.2.2.2', '3.3.3.3',],
GroupName = 'test-group-1',
Port = [443, 22, 808, 80, 161],
),
dict(
Hostname = ['test4',],
IP = ['4.4.4.4',],
GroupName = 'test-group-2',
Port = [443, 8080],
),
dict(
Hostname = ['test5', 'test6',],
IP = ['5.5.5.5', '6.6.6.6',],
GroupName = 'test-group-3',
Port = [443],
),
]
print(list_of_dicts)
print(list_of_dicts[0])
print(list_of_dicts[0]["Hostname"])
print(list_of_dicts[0]["Hostname"][0])
A dict of dicts using the GroupNames as keys:
dict_of_dicts = {
'test-group-1' : dict(
Hostname = ['test1', 'test2', 'test3',],
IP = ['1.1.1.1', '2.2.2.2', '3.3.3.3',],
Port = [443, 22, 808, 80, 161],
),
'test-group-2' : dict(
Hostname = ['test4',],
IP = ['4.4.4.4',],
Port = [443, 8080],
),
'test-group-3' : dict(
Hostname = ['test5', 'test6',],
IP = ['5.5.5.5', '6.6.6.6',],
Port = [443],
),
}
print(dict_of_dicts)
print(dict_of_dicts['test-group-1'])
print(dict_of_dicts['test-group-1']["Hostname"])
print(dict_of_dicts['test-group-1']["Hostname"][0])
examples in python tutor
Also if you already have this data in excel then I would highly recommend looking into using pandas to read this data into a DataFrame.