I am trying to get some specific data from a JSON file, but I get the following error:
for item in data['perfil'][0]['regimes']: KeyError: 'regimes'
This is my script, as you can see, I am trying to get Key regimes, because it has specific data, that others don't have:
import json
import matplotlib.pyplot as plt
with open('backupperfil.json') as f:
data = json.load(f)
for item in data['perfil'][0]['regimes']:
print(item['classificacao'])
And this is a small copy of Json File:
{
"perfil":[
{
"data": 1533815887,
"kmh": 0,
"rpm": 0.0,
"pedal": 15.294117647058824
},
{
"data": 1533815888,
"kmh": 0
,"rpm": 0.0
,"pedal": 15.294117647058824
},
{
"data": 1533815889,
"kmh": 0
,"rpm": 0.0
,"pedal": 15.294117647058824
},
{
"kmh": 0
,"rpm": 834.75
,"pedal": 14.117647058823529
},
{
"regimes": [
{
"kmh": 0,
"rpm": 833.75,
"pedal": 14.117647058823529,
"regime_inferior_normal": 318,
"regime_normal": 27,
"regime_agressivo": 1,
"regime_muito_agressivo": 0,
"soma_regimes": 346,
"classificacao": "Regime Inferior a Normal"
}
]
},
{
"kmh": 0,
"rpm": 827.5,
"pedal": 14.117647058823529
}
]
}
How can I get the data inside of Key "regimes"?
In case if you have more than regimes in your json. I'm assuming so , since you gave only a part of your original json
for i in js['perfil']:
if 'regimes' in i:
print(i['regimes'][0]['classificacao'])
This way the the program loops through each jsonobject and checks for the key regimes . If it exists, then it'll be printed
Try this piece of code:-
data['perfil'][4]['regimes'][0]['classificacao']
Make sure the indexes you are using are right.
Related
I want to get the data from a json. I have the idea of a loop to access all levels.
I have only been able to pull data from a single block.
print(output['body']['data'][0]['list'][0]['outUcastPkts'])
How do I get the other data?
import json,urllib.request
data = urllib.request.urlopen("http://172.0.0.0/statistic").read()
output = json.loads(data)
for elt in output['body']['data']:
print(output['body']['data'][0]['inUcastPktsAll'])
for elt in output['list']:
print(output['body']['data'][0]['list'][0]['outUcastPkts'])
{
"body": {
"data": [
{
"inUcastPktsAll": 3100617019,
"inMcastPktsAll": 7567,
"inBcastPktsAll": 8872,
"outPktsAll": 8585575441,
"outUcastPktsAll": 8220240108,
"outMcastPktsAll": 286184143,
"outBcastPktsAll": 79151190,
"list": [
{
"outUcastPkts": 117427359,
"outMcastPkts": 1990586,
"outBcastPkts": 246120
},
{
"outUcastPkts": 0,
"outMcastPkts": 0,
"outBcastPkts": 0
}
]
},
{
"inUcastPktsAll": 8269483865,
"inMcastPktsAll": 2405765,
"inBcastPktsAll": 124466,
"outPktsAll": 3101194852,
"outUcastPktsAll": 3101012296,
"outMcastPktsAll": 173409,
"outBcastPktsAll": 9147,
"list": [
{
"outUcastPkts": 3101012296,
"outMcastPkts": 90488,
"outBcastPkts": 9147
},
{
"outUcastPkts": 0,
"outMcastPkts": 0,
"outBcastPkts": 0
}
]
}
],
"msgs": [ "successful" ]
},
"header": {
"opCode": "1",
"token": "",
"state": "",
"version": 1
}
}
output = json.loads(data) #Type of output is a dictionary.
#Try to use ".get()" method.
print(output.get('body')) #Get values of key 'body'
print(output.get('body').get('data')) #Get a list of key 'data'
If a key doesn't exist, the '.get()' method will return None.
https://docs.python.org/3/library/stdtypes.html#dict.get
In python you can easily iterate over the objects of a list like so:
>>> l = [1, 2, 3, 7]
>>> for elem in l:
... print(elem)
...
1
2
3
7
This works regarding what can of object do you have in the list (integers, tuples, dictionaries). Having that in mind, your solution was not far off, you only to do the following changes:
for entry in output['body']['data']:
print(entry['inUcastPktsAll'])
for list_element in entry['list']:
print(list_element['outUcastPkts'])
This will give you the following for the json object you have provided:
3100617019
117427359
0
8269483865
3101012296
0
following Update json nodes in Python using jsonpath, would like to know how one might update the JSON data given a certain context.
So, say we pick the exact same JSON example:
{
"SchemeId": 10,
"nominations": [
{
"nominationId": 1
}
]
}
But this time, would like to double the value of the original value, hence some lambda function is needed which takes into account the current node value.
No need for lambdas; for example, to double SchemeId, something like this should work:
data = json.loads("""the json string above""")
jsonpath_expr = parse('$.SchemeId')
jsonpath_expr.find(data)
val = jsonpath_expr.find(data)[0].value
jsonpath_expr.update(data, val*2)
print(json.dumps(data, indent=2))
Output:
{
"SchemeId": 20,
"nominations": [
{
"nominationId": 1
}
]
}
Here is example with lambda expression:
import json
from jsonpath_ng import parse
settings = '''{
"choices": {
"atm": {
"cs": "Strom",
"en": "Tree"
},
"bar": {
"cs": "Dům",
"en": "House"
},
"sea": {
"cs": "Moře",
"en": "Sea"
}
}
}'''
json_data = json.loads(settings)
pattern = parse('$.choices.*')
def magic(f: dict, to_lang='cs'):
return f[to_lang]
pattern.update(json_data,
lambda data_field, data, field: data.update({field: magic(data[field])}))
json_data
returns
{
'choices': {
'atm': 'Strom',
'bar': 'Dům',
'sea': 'Moře'
}
}
I am attempting to parse a json response that looks like this:
{
"links": {
"next": "http://www.neowsapp.com/rest/v1/feed?start_date=2015-09-08&end_date=2015-09-09&detailed=false&api_key=xxx",
"prev": "http://www.neowsapp.com/rest/v1/feed?start_date=2015-09-06&end_date=2015-09-07&detailed=false&api_key=xxx",
"self": "http://www.neowsapp.com/rest/v1/feed?start_date=2015-09-07&end_date=2015-09-08&detailed=false&api_key=xxx"
},
"element_count": 22,
"near_earth_objects": {
"2015-09-08": [
{
"links": {
"self": "http://www.neowsapp.com/rest/v1/neo/3726710?api_key=xxx"
},
"id": "3726710",
"neo_reference_id": "3726710",
"name": "(2015 RC)",
"nasa_jpl_url": "http://ssd.jpl.nasa.gov/sbdb.cgi?sstr=3726710",
"absolute_magnitude_h": 24.3,
"estimated_diameter": {
"kilometers": {
"estimated_diameter_min": 0.0366906138,
"estimated_diameter_max": 0.0820427065
},
"meters": {
"estimated_diameter_min": 36.6906137531,
"estimated_diameter_max": 82.0427064882
},
"miles": {
"estimated_diameter_min": 0.0227984834,
"estimated_diameter_max": 0.0509789586
},
"feet": {
"estimated_diameter_min": 120.3760332259,
"estimated_diameter_max": 269.1689931548
}
},
"is_potentially_hazardous_asteroid": false,
"close_approach_data": [
{
"close_approach_date": "2015-09-08",
"close_approach_date_full": "2015-Sep-08 09:45",
"epoch_date_close_approach": 1441705500000,
"relative_velocity": {
"kilometers_per_second": "19.4850295284",
"kilometers_per_hour": "70146.106302123",
"miles_per_hour": "43586.0625520053"
},
"miss_distance": {
"astronomical": "0.0269230459",
"lunar": "10.4730648551",
"kilometers": "4027630.320552233",
"miles": "2502653.4316094954"
},
"orbiting_body": "Earth"
}
],
"is_sentry_object": false
},
}
I am trying to figure out how to parse through to get "miss_distance" dictionary values ? I am unable to wrap my head around it.
Here is what I have been able to do so far:
After I get a Response object from request.get()
response = request.get(url
I convert the response object to json object
data = response.json() #this returns dictionary object
I try to parse the first level of the dictionary:
for i in data:
if i == "near_earth_objects":
dataset1 = data["near_earth_objects"]["2015-09-08"]
#this returns the next object which is of type list
Please someone can explain me :
1. How to decipher this response in the first place.
2. How can I move forward in parsing the response object and get to miss_distance dictionary ?
Please any pointers/help is appreciated.
Thank you
Your data will will have multiple dictionaries for the each date, near earth object, and close approach:
near_earth_objects = data['near_earth_objects']
for date in near_earth_objects:
objects = near_earth_objects[date]
for object in objects:
close_approach_data = object['close_approach_data']
for close_approach in close_approach_data:
print(close_approach['miss_distance'])
The code below gives you a table of date, miss_distances for every object for every date
import json
raw_json = '''
{
"near_earth_objects": {
"2015-09-08": [
{
"close_approach_data": [
{
"miss_distance": {
"astronomical": "0.0269230459",
"lunar": "10.4730648551",
"kilometers": "4027630.320552233",
"miles": "2502653.4316094954"
},
"orbiting_body": "Earth"
}
]
}
]
}
}
'''
if __name__ == "__main__":
parsed = json.loads(raw_json)
# assuming this json includes more than one near_earch_object spread across dates
near_objects = []
for date, near_objs in parsed['near_earth_objects'].items():
for obj in near_objs:
for appr in obj['close_approach_data']:
o = {
'date': date,
'miss_distances': appr['miss_distance']
}
near_objects.append(o)
print(near_objects)
output:
[
{'date': '2015-09-08',
'miss_distances': {
'astronomical': '0.0269230459',
'lunar': '10.4730648551',
'kilometers': '4027630.320552233',
'miles': '2502653.4316094954'
}
}
]
I have to send the content of a list to a single string.
I've tried using a loop, but only could print the result:
for item in output_list:
for line in item['output'].split('\n'):
print(line)
that is the list
output_list =
{
"jsonrpc": "2.0",
"result": [
{},
{
"tablesLastChangeTime": 1483721367.4560423,
"tablesAgeOuts": 0,
"tablesInserts": 3,
"lldpNeighbors": [
{
"ttl": 120,
"neighborDevice": "HP830_LSW",
"neighborPort": "GigabitEthernet1/0/12",
"port": "Ethernet47"
},
{
"ttl": 120,
"neighborDevice": "HP_5500EI",
"neighborPort": "GigabitEthernet2/0/22",
"port": "Ethernet48"
},
{
"ttl": 120,
"neighborDevice": "HP_5500EI",
"neighborPort": "GigabitEthernet1/0/24",
"port": "Management1"
}
],
"tablesDeletes": 0,
"tablesDrops": 0
}
],
"id": "EapiExplorer-1"
}
I want to send the content of a list to a single string.
The json module contains a method called 'dumps' which can take in your dictionary and return a string.
import json
my_string = json.dumps(output_list)
There are a couple of methods here you could use. The first is to generically pretty-print:
import pprint
...
pprint.pprint(output_list)
The second is to output in json format, since your output_list looks like it belongs that way:
import json
...
print(json.dumps(output_list))
I'm a real Python newbee and I'm having problems creating a JSON/LIST obj.
What I want to end up with is the following JSON to send o an API
{
"request": {
"slice": [
{
"origin": "AMS",
"destination": "SYD",
"date": "2015-06-23"
}
],
"passengers": {
"adultCount": 1,
"infantInLapCount": 0,
"infantInSeatCount": 0,
"childCount": 0,
"seniorCount": 0
},
"solutions": 20,
"refundable": false
}
}
I figured to make a list and then to convert to JSON with the dumps() function. This works. The thing is, I need to change the date field with an iterator to add a day, but I'm stuck on changing this field.
Any advice?
thx!
As your question is a bit vague i can only guess that you're trying to modify the JSON version of your data directly, while you should modify the Python object before converting it into JSON... something like this:
d = {
"request": {
"slice": [
{
"origin": "AMS",
"destination": "SYD",
"date": "2015-06-23"
}
],
"passengers": {
"adultCount": 1,
"infantInLapCount": 0,
"infantInSeatCount": 0,
"childCount": 0,
"seniorCount": 0
},
"solutions": 20,
"refundable": False # note how this is python False, not js false!
}
}
# then you can do:
d["request"]["slice"][0]["date"] = "2015-05-23"
# and finally convert to json:
j = json.dumps(d)
If it happens that you get JSON as a string, you should first convert it into a python object so you can work on it:
# if j is your json string, convert it into a python object
d = json.loads(j)
# then do your modifications as above:
d["request"]["slice"][0]["date"] = "2015-05-23"
# and finally convert back to json:
j = json.dumps(d)