I'll try to make a JSON
for i in ktg_mhs:
chart_ktg ={
'value' : ktg_mhs[i][1],
'name' : ktg_mhs[i][0]
}
result.append(chart_ktg)
data = json.dumps(chart_ktg)
but, I get an error at this
'value' : ktg_mhs[i][1],
'name' : ktg_mhs[i][0]
How to solve it and why?
I have this input :
(('Coding', 51), ('Database', 27), ('UI/UX', 223), ('Manajemen', 34), ('Dasar Sistem Informasi', 7), ('Bisnis', 64), ('Kesehatan', 18), ('Lain-lain', 235))
And I want to make JSON like this :
{
value: 335,
name: 'Coding'
}, {
value: 310,
name: 'Database'
},
I try this :
result = []
chart_ktg =[
{
'value' : ktg_mhsi[1],
'name' : ktg_mhsi[0]
}
for ktg_mhsi in ktg_mhs
]
# result.append(chart_ktg)
data = json.dumps(chart_ktg)
And the output like this :
[{"value": 51, "name": "Coding"}, {"value": 27, "name": "Database"}, {"value": 223, "name": "UI/UX"}, {"value": 34, "name": "Manajemen"}, {"value": 7, "name": "Dasar Sistem Informasi"}, {"value": 64, "name": "Bisnis"}, {"value": 18, "name": "Kesehatan"}, {"value": 235, "name": "Lain-lain"}]
for i in ktg_mhs will not yield the indices, but the elements of the list, so you work with:
for ktg_mhsi in ktg_mhs:
chart_ktg ={
'value' : ktg_mhsi[1],
'name' : ktg_mhsi[0]
}
result.append(chart_ktg)
data = json.dumps(chart_ktg)
We can replace this with list comprehension with:
chart_ktg = [
{
'value' : value,
'name' : name
}
for name, value in ktg_mhs
]
data = json.dumps(chart_ktg)
Related
I have the following data:
data={
"locations": [
{
"id": "27871f2d-101c-449e-87ad-36a663b144fe",
"switch_id": 20,
"switch_port": 16,
"vlan_id": 101,
},
{
"id": "94b1d7a2-7ff2-4ba3-8259-5eb7ddd09fe1",
"switch_id": 6,
"switch_port": 24,
"vlan_id": 203,
},
]
}
And what I want to do is extract 'id' and 'vlan_id' into a new dictionary with a list of sub dictionaries, like this:
new_data={
"connections": [
{
"id": "27871f2d-101c-449e-87ad-36a663b144fe",
"vlan_id": 101,
},
{
"id": "94b1d7a2-7ff2-4ba3-8259-5eb7ddd09fe1",
"vlan_id": 203,
},
]
}
My initial thoughts were as a dictionary comprehension like this:
new_data = {"connections": [some code here]}
But not sure of the some code bit yet.
Try:
new_data = {"connections": [{'id': d['id'], 'vlan_id': d['vlan_id']} for d in data['locations']]}
{'connections': [{'id': '27871f2d-101c-449e-87ad-36a663b144fe', 'vlan_id': 101}, {'id': '94b1d7a2-7ff2-4ba3-8259-5eb7ddd09fe1', 'vlan_id': 203}]}
You can create the new_data variable accesing the first dictionary data like this:
new_data={
"connections": [
{
"id": data['locations'][0]['id'],
"vlan_id": data['locations'][0]['vlan_id'],
},
{
"id": data['locations'][1]['id'],
"vlan_id": data['locations'][1]['vlan_id'],
},
]
}
edit:
You can get a more dynamic approach by reading every object in the list with a forloop like this:
new_data={
"connections": []
}
for object in data['locations']:
new_dict = {
"id": object["id"],
"vlan_id": object["vlan_id"]
}
new_data['connections'].append(new_dict)
Following Marc's answer here, you could modify it to
new_data = {}
for i in range(len(data['locations'])):
if "connections" not in new_data.keys():
new_data['connections'] = [{"id": data['locations'][i]['id'],"vlan_id": data['locations'][i]['vlan_id']}]
else:
new_data['connections'].append({"id": data['locations'][i]['id'],"vlan_id": data['locations'][i]['vlan_id']})
The Answers here are good but you can make the code more dynamic
keys_to_extract = ['id', 'vlan_id']
locations = data['locations']
connections = { key: val for key, val in locations.items() if key in keys_to_extract }
new_data = {'connections': connections}
Now you can change the keys you need on the fly
Hi i want to convert my dataframe to a specific json structure. my dataframe look something like this :
df = pd.DataFrame([["file1", "1.2.3.4.5.6.7.8.9", 91, "RMLO"], ["file2", "1.2.3.4.5.6.7.8.9", 92, "LMLO"], ["file3", "1.2.3.4.5.6.7.8.9", 93, "LCC"], ["file4", "1.2.3.4.5.6.7.8.9", 94, "RCC"]], columns=["Filename", "StudyID", "probablity", "finding_name"])
And the json structure in which i want to convert my datafram is below :
{
"findings": [
{
"name": "RMLO",
"probability": "91"
},
{
"name": "LMLO",
"probability": "92"
},
{
"name": "LCC",
"probability": "93"
}
{
"name": "LCC93",
"probability" : "94"
}
],
"status": "Processed",
"study_id": "1.2.3.4.5.6.7.8.9.0"
}
i tried implementing this with below code with different orient variables but i didn't get what i wanted.
j = df[["probablity","findings"]].to_json(orient='records')
so if any can help in achiveing this..
Thanks.
Is this similar to what you are trying to achieve:
import json
j = df[["finding_name","probablity"]].to_json(orient='records')
study_id = df["StudyID"][0]
j_dict = {"findings": json.loads(j), "status": "Processed", "study_id": study_id}
j_dict
This results in:
{'findings': [{'finding_name': 'RMLO', 'probablity': 91},
{'finding_name': 'LMLO', 'probablity': 92},
{'finding_name': 'LCC', 'probablity': 93},
{'finding_name': 'RCC', 'probablity': 94}],
'status': 'Processed',
'study_id': '1.2.3.4.5.6.7.8.9'}
I am trying to load a JSON file to parse the contents nested in the root object. Currently I have the JSON file open and loaded as such:
with open(outputFile.name) as f:
data = json.load(f)
For the sake of the question here is an example of what the contents of the JSON file are like:
{
"rootObject" :
{
"person" :
{
"address" : "some place ave. 123",
"age" : 47,
"name" : "Joe"
},
"kids" :
[
{
"age" : 20,
"name" : "Joey",
"studySubject":"math"
},
{
"age" : 16,
"name" : "Josephine",
"studySubject":"chemistry"
}
],
"parents" :
{
"father" : "Joseph",
"mother" : "Joette"
}
How do I access the nested objects in "rootObject", such as "person", "kids" and its contents, and "parents"?
Below code using recursive function can extract values using specific key in a nested dictionary or 'lists of dictionaries':
data = {
"rootObject" :
{
"person" :
{
"address" : "some place ave. 123",
"age" : 47,
"name" : "Joe"
},
"kids" :
[
{
"age" : 20,
"name" : "Joey",
"studySubject":"math"
},
{
"age" : 16,
"name" : "Josephine",
"studySubject":"chemistry"
}
],
"parents" :
{
"father" : "Joseph",
"mother" : "Joette"
}
}}
def get_vals(nested, key):
result = []
if isinstance(nested, list) and nested != []: #non-empty list
for lis in nested:
result.extend(get_vals(lis, key))
elif isinstance(nested, dict) and nested != {}: #non-empty dict
for val in nested.values():
if isinstance(val, (list, dict)): #(list or dict) in dict
result.extend(get_vals(val, key))
if key in nested.keys(): #key found in dict
result.append(nested[key])
return result
get_vals(data, 'person')
Output
[{'address': 'some place ave. 123', 'age': 47, 'name': 'Joe'}]
The code for loading the JSON object should look like this:
from json import loads, load
with open("file.json") as file:
var = loads(load(file))
# loads() transforms the string in a python dict object
I am trying to create lists from json datas by pulling one by one and append them to the lists. However, some variables does not given in all json files. For example: for the json file below, data does not have ['statistics']['aerialLost'] , so it return Key Error. My Expected solution is when json file does not have key, append 'None' value to the list and continue.
Code
s_aerialLost = []
s_aerialWon = []
s_duelLost = []
s_duelWon = []
players = ['Martin Linnes', 'Christian Luyindama', 'Marcão', 'Ömer Bayram', 'Oghenekaro Etebo', 'Muhammed Kerem Aktürkoğlu', 'Gedson Fernandes', 'Emre Kılınç', 'Ryan Babel', 'Mostafa Mohamed', 'Florent Hadergjonaj', 'Tomáš Břečka', 'Duško Tošić', 'Oussama Haddadi', 'Kristijan Bistrović', 'Aytaç Kara', 'Haris Hajradinović', 'Armin Hodžić', 'Gilbert Koomson', 'Isaac Kiese Thelin']
players_id = [109569, 867191, 840951, 68335, 839110, 903324, 862055, 202032, 1876, 873551, 354860, 152971, 14557, 867180, 796658, 128196, 254979, 138127, 341107, 178743]
for player, player_id in zip(players, players_id):
url = base_url + str(player_id)
data = requests.request("GET", url).json()
## just added 4 data for simplify
accurateLongBalls = str(data['statistics']['accurateLongBalls'])
aerialLost = str(data['statistics']['aerialLost'])
aerialWon = str(data['statistics']['aerialWon'])
duelLost = str(data['statistics']['duelLost'])
s_aerialLost.append()
s_aerialWon.append()
s_duelLost.append()
s_duelWon.append()
Json File
{
"player": {
"name": "Martin Linnes",
"slug": "martin-linnes",
"shortName": "M. Linnes",
"position": "D",
"userCount": 339,
"id": 109569,
"marketValueCurrency": "€",
"dateOfBirthTimestamp": 685324800
},
"team": {
"name": "Galatasaray",
"slug": "galatasaray",
"shortName": "Galatasaray",
"gender": "M",
"userCount": 100254,
"nameCode": "GAL",
"national": false,
"type": 0,
"id": 3061,
"teamColors": {
"primary": "#ff9900",
"secondary": "#ff0000",
"text": "#ff0000"
}
},
"statistics": {
"totalPass": 32,
"accuratePass": 22,
"totalLongBalls": 7,
"accurateLongBalls": 3,
"totalCross": 2,
"aerialWon": 1,
"duelLost": 2,
"duelWon": 7,
"totalContest": 3,
"wonContest": 2,
"totalClearance": 4,
"totalTackle": 3,
"wasFouled": 1,
"fouls": 1,
"minutesPlayed": 82,
"touches": 63,
"rating": 7.3,
"possessionLostCtrl": 18,
"keyPass": 1
},
"position": "D"
}
Error
KeyError: 'aerialLost'
Use .get(). You can specify a default value to return if the key is not found, and it defaults to None.
So you can use
aerialLost = str(data.get('statistics', {}).get('aerialLost'))
The first call defaults to an empty dictionary so that there's something to make the second .get() call on. The second call just returns the default None.
I would like to add new key into the dictionary list. Example:
"label" : [] (with empty list)
[
{
"Next" : {
"seed" : [
{
"Argument" : [
{
"id" : 4,
"label" : "org"
},
{
"id" : "I"
},
{
"word" : "He",
"seed" : 2,
"id" : 3,
"label" : "object"
},
{
"word" : "Gets",
"seed" : 9,
"id" : 2,
"label" : "verb"
}
]
}
],
"Next" : "he,get",
"time" : ""
}
}
]
I tried to use loop into "seed" and then to "argument" then use .update("label":[]) in the loop but it won't work. Can anyone please give me an example of using for loop to loop from beginning then to add these new "label"?
My prefered goal: ( to have extra "label" within the dictionary according to my input)
Example:
[
{
"Next" : {
"seed" : [
{
"Argument" : [
{
"id" : 4,
"label" : "org"
},
{
"id" : "I"
},
{
"word" : "He",
"seed" : 2,
"id" : 3,
"label" : "object"
},
{
"word" : "Gets",
"seed" : 9,
"id" : 2,
"label" : "verb"
},
{
"id" : 5,
"label" : "EXTRA"
},
{
"id" : 6,
"label" : "EXTRA"
},
{
"id" : 7,
"label" : "EXTRA"
}
]
}
],
"Next" : "he,get",
"time" : ""
}
}
]
I am new to dictionary so really need help with this
If I understand your problem correctly, you want to add 'label' to dict in Argument where there is no label. You could do it like so -
for i in x[0]['Next']['seed'][0]['Argument']:
if not 'label' in i.keys():
i['label'] = []
Where x is your dict. But what's x[0]['Next']['seed'][0]['Argument']:?
Let's simplify your dict -
x = [{'Next': {'Next': 'he,get',
'seed': [{'Argument': [{these}, {are}, {your}, {dicts}]}],
'time': ''}}]
How did we reach here?
Let's see-
x = [{'Next'(parent dict): {'Next'(child of previous 'Next'):{},
'seed(child of previous 'Next')':[{these}, {are}, {your}, {dicts}](a list of dicts)}]
I hope that makes sense. And to add more dictionaries in Argument
# create a function that returns a dict
import random # I don't know how you want ids, so this
def create_dicts():
return {"id": random.randint(1, 10), "label": ""}
for i in range(3): # 3 is how many dicts you want to push in Argument
x[0]['Next']['seed'][0]['Argument'].append(create_dicts())
Now your dict will become -
[{'Next': {'Next': 'he,get',
'seed': [{'Argument': [{'id': 4, 'label': 'org'},
{'id': 'I'},
{'id': 3, 'label': 'object', 'seed': 2, 'word': 'He'},
{'id': 2, 'label': 'verb', 'seed': 9, 'word': 'Gets'},
{'id': 1, 'label': ''},
{'id': 4, 'label': ''},
{'id': 4, 'label': ''}]}],
'time': ''}}]
First things first: access the list of dict that need to be updated.
according to your given structure that's l[0]["Next"]["seed"][0]["Argument"]
Then iterate that list and check if label already exists, if it does not then add it as an empty list.
This can be done by explicit checking:
if "label" not in i:
i["label"] = []
or by re-assigning:
i["label"] = i.get("label", [])
Full Code:
import pprint
l = [ {
"Next" : {
"seed" : [ {
"Argument" : [ {
"id" : 4,
"label" : "org"
}, {
"id" : "I"
}, {
"word" : "He",
"seed" : 2,
"id" : 3,
"label" : "object"
}, {
"word" : "Gets",
"seed" : 9,
"id" : 2,
"label" : "verb"
} ]
} ],
"Next" : "he,get",
"time" : ""
} }]
# access the list of dict that needs to be updated
l2 = l[0]["Next"]["seed"][0]["Argument"]
for i in l2:
i["label"] = i.get("label", []) # use the existing label or add an empty list
pprint.pprint(l)
Output:
[{'Next': {'Next': 'he,get',
'seed': [{'Argument': [{'id': 4, 'label': 'org'},
{'id': 'I', 'label': []},
{'id': 3,
'label': 'object',
'seed': 2,
'word': 'He'},
{'id': 2,
'label': 'verb',
'seed': 9,
'word': 'Gets'}]}],
'time': ''}}]
You have a list with one nested dictionary. Get the list of the inner dicts, and iterate. Assuming your initial data structure is named data
dict_list = data[0]['Next']['seed'][0]['Argument']
for item in dict_list:
item['label'] = input()