I would like to browse this dictionary more particularly the key lines
dict= {
"comm": [
{
"palo": "strcc",
"masd": "tete",
"lignes": [
{
"salti": "namora",
"fasha": "ben"
}
]
}
]
}
And to display "salti" and "fasha" I have an error
print(dict['comm']['lignes']['salti'])
"comm" and "lines" in your dictionary are lists. So you need to add the index item you want to access:
print(dict['comm'][0]['lignes'][0]['salti'])
Related
suppose I have two dictionary list below:
all=[]
lis1={
'code':'matata',
'commandes':[
{
'date':'12-10-22',
'content':[
{
'article':'Article1',
'designation':'Designe1',
'quantity':5
}
]
}
]
}
lis2={
'code':'fropm',
'commandes':[
{
'date':'04-08-21',
'content':[
{
'article':'Article2',
'designation':'Designe2',
'quantity':3
}
]
}
]
}
Now I add at list level my two dictionaries
all.append(list1)
all.append(liste2)
to replace the [..] in {..} for a single list we can do all[0]
But after adding the two lists and then doing all[0] we only have the first list whose [..] whose square brackets are replaced by {..}
I would like to have this rendering { {...}, {...} }
Is this possible??
You need to refine what you are trying to accomplish. lis1 is a dict, not a list. lis1['commandes'] is a list containing a single dict, but presumably in the general case it might have more. Each of those has a key "date" and another key "content", which is again a list of dicts ....
An arbitrary example would be to add the commandes from lis2 to those in lis1:
lis1['commandes'].extend( lis2['commandes'] )
which is using the list .extend() method to join two lists. It should yield
{
'code':'matata',
'commandes':[
{
'date':'12-10-22',
'content':[
{
'article':'Article1',
'designation':'Designe1',
'quantity':5
}
]
},
{
'date':'04-08-21',
'content':[
{
'article':'Article2',
'designation':'Designe2',
'quantity':3
}
]
}
]
}
"Drilling down" is just a matter of supplying array indices and dict keys as appropriate. for example,
lis1['commandes'][0]['content'][0]['quantity']
will be 5.
Added in response to comment:
Building such a structire is step-by-step. Remember that in Python, assignment is name-binding. So names referring to lists and dicts are a lot like pointers in other languages. You mutate the objects referred to in memory (if they are mutable, which lists and dicts are).
So something like:
lis = {}
lis['code'] = 'example'
lis['commandes'] = []
for foo in something:
lis['commandes'] .append( build_command( foo))
...
def build_command(foo):
command = {}
date = datetime.date.today()
command['date'] = datetime.datetime.now().strftime('%d-%m-%y')
command['content'] = []
for # iterating over something ...
content = {}
content['article'] =
content['designation'] =
content['quantity'] =
command['content'].append( content)
return command
My data contains nested lists and I am trying to create a list that contains only the date information from the second layer of nested lists.
"DateMap": {
"2020-12-04:0": {
"55.0": [
{
}]},
"2020-12-11:7": {
"60.0": [
{
}]}
}
I want to get a list that is like this mylist = ["2020-12-04:0", "2020-12-11:7"]
I have looked into using regex and list comprehensions and this is the expression I have found to match the dates ^\d{4}-\d\d-\d\d:\d\d?$
How can I make this work?
Use the function .keys(). This just gets all the keys of a dictionary, which is exactly what you're looking for. If DateMap is inside a dictionary, say dic, just do the same thing for dic["DateMap"].
DateMap = {
"2020-12-04:0": {
"55.0": [
{
}]},
"2020-12-11:7": {
"60.0": [
{
}]}
}
mylist = DateMap.keys()
# mylist = list(DateMap.keys()) for Python 3
print(mylist)
# Prints ['2020-12-04:0', '2020-12-11:7']
I know this is a worst title but let me explain the question by sample. My data is:
data = [
{
"subdata": [ # subdata various number of dictionaries of same keys, including "ext_id", ...
{
"ext_id": "12345", # ... but of different values
...
},
{
"ext_id": "54321",
...
}
],
...
},
... # and many other dictionary items with "subdata", which in turn contains
# a list of dictionaries containing "ext_id" and corresponding values
]
my goal is make a list of the pair of "ext_id"s in "subdata", i.e.
goal = [
("12345", "54321"),
(...)
]
I know a for-loop is okay for this goal, but wondering if a list comprehension is possible? I tried this:
goal = [x["ext_id"] for y in data for x in y["subdata"]]
and get a flattened version of goal ["12345", "54321", ...] rather than a 2-D list.
Any advices are appreciated.
If you have a data structure like this:
data = [
{
"subdata": [
{
"ext_id": "12345",
},
{
"ext_id": "54321",
}
],
},
{
"subdata": [
{
"ext_id": "98765",
},
{
"ext_id": "56789",
}
],
}
]
Then to get the output that you want, you could use list comprehension (and a generator comprehension too) as follows:
goal = [tuple(dict_['ext_id'] for dict_ in subdata['subdata']) for subdata in data ]
goal will contain:
[('12345', '54321'), ('98765', '56789')]
Yes you can use list comprehension here. Following code will give you your desired results
[tuple(sub_dict.get('ext_id') for sub_dict in dictionary.get('subdata')) for dictionary in data]
I want to retrieve all the IP address range from Azure cloud from here
The data after conversion in json is in the following format:
{
"AzurePublicIpAddresses": {
"Region": [
{
...
"IpRange": [
{
"_Subnet": "40.69.96.0/19"
},
{
"_Subnet": "40.86.192.0/18"
}
],
"_Name": "canadaeast"
},
{
"IpRange": [
{
"_Subnet": "13.71.160.0/19"
},
{
"_Subnet": "13.88.224.0/19"
},
{
"_Subnet": "40.85.192.0/18"
}
],
"_Name": "canadacentral"
}
],
"_xmlns:xsd": "http://www.w3.org/2001/XMLSchema",
"_xmlns:xsi": "http://www.w3.org/2001/XMLSchema-instance"
}
}
I am unable to access IP ranges? through this code?
with open('AZURE_IP.json') as data_file:
data = json.load(data_file)
list_IPCIDR = []
for i in data["AzurePublicIpAddresses"]:
for ii in i["Region"]:
for j in ii["IpRange"]:
list_IPCIDR.append(i["_Subnet"])
sys.stdout=open("test2.txt","w")
data["AzurePublicIpAddresses"] is a dict. Iterating directly over a dict just gives you the the keys of that dict.
So
for i in data["AzurePublicIpAddresses"]:
print(i)
will print
Region
_xmlns:xsd
_xmlns:xsi
in some order.
You can get the Subnet IP ranges like this:
list_IPCIDR = []
for ipr in data["AzurePublicIpAddresses"]["Region"]:
for d in ipr["IpRange"]:
list_IPCIDR.append(d["_Subnet"])
print(list_IPCIDR)
output
['40.69.96.0/19', '40.86.192.0/18', '13.71.160.0/19', '13.88.224.0/19', '40.85.192.0/18']
This works because data["AzurePublicIpAddresses"]["Region"] is a list of dicts. Each of those dict (that are temporarily bound to the name ipr) contains a list of dicts associated with the "IpRange" key, so we need to iterate over those lists in the inner loop, and then extract the subnet strings from those inner dicts.
If you like you can do this in a list comprehension, butI advise splitting it up over several lines, eg:
list_IPCIDR = [d["_Subnet"]
for ipr in data["AzurePublicIpAddresses"]["Region"]
for d in ipr["IpRange"]]
It's often desirable to iterate over the (key, value) pairs of a dict. You can do that using the .items method (or .iteritems in Python 2). Eg,
list_IPCIDR = []
for key, val in data["AzurePublicIpAddresses"].items():
if key == "Region":
for dct in val:
for s in dct["IpRange"]:
list_IPCIDR.append(s["_Subnet"])
AzurePublicIpAddresses is a dictionary, so:
for i in data["AzurePublicIpAddresses"]:
Iterates through the keys (which are strings, in this case). I.e. you're trying to do "Region"["Region"], which is string slicing. Try something more like:
for i in data["AzurePublicIpAddresses"]:
for ii in data["Azure..."][i]:
# Use ii as it is the contents of the 'Region' attribute
if type(ii) == list: # Sometimes ii is a string, like at the end of your data.
list_IPCIDR.append(ii["IpRange"]["_Subnet"])
I want to save the information from a .json file as a dictionary containing other dictionaries. I attempted, but, when I try to access the first key, it is a string, rather than another dictionary. Here is my code:
with open('matches1.json', 'r') as json_file:
match_histories = json.load(json_file)
print(match_histories[key]['matches'])
for i in range(6):
print(match_histories[key][i])
The first print results in an error, the second results in 'matches'.
The file I want to load can be downloaded but the structure is basically:
{
"matches": [
{
"matchId": 1778839570,
"region": "NA",
"platformId": "NA1",
"matchMode": "CLASSIC",
"matchType": "MATCHED_GAME",
"matchCreation": 1427867835805,
"matchDuration": 3424,
"queueType": "RANKED_SOLO_5x5",
"mapId": 11,
"season": "SEASON2015",
"matchVersion": "5.6.0.194",
"participants": [
// more dictionaries
],
"participantIdentities": [
// more dictionaries
],
"teams": [
// more dictionaries
],
"timeline": {
"frames": [
// many frame dictionaries
],
"frameInterval": 60000
}
},
// more dictionaries
]
}
I saved it as matches1.json in the same directory as my code.
I have also tried putting
match_histories={}
before my other code, but that didn't help either.
How can I save this .json file as a dictionary containing dictionaries?
match_histories is a dictionary with one key, matches. The value is a list of dictionaries; loop over that list:
for match in match_histories['matches']:
print(match['matchId'])
Warning: the match objects are themselves large dictionaries.