We Keep Coding

Accessing Values In Nested Dict In Python - String Indices Must Be Integers

I've gone through other similar problems here, but still can't identify my problem.
I have this JSON data returned from an API call:
{
"Open": {
"1638316800000": 120.5400009155,
"1640995200000": 106.1399993896,
"1643673600000": 67.2799987793,
"1646092800000": 65.4300003052,
"1648771200000": 50.1800003052,
"1651104000000": 31.5699996948
},
"High": {
"1638316800000": 126.75,
"1640995200000": 106.8000030518,
"1643673600000": 71.5,
"1646092800000": 66.5400009155,
"1648771200000": 50.2599983215,
"1651104000000": 31.6900005341
},
"Low": {
"1638316800000": 88.4000015259,
"1640995200000": 50.0,
"1643673600000": 53.5,
"1646092800000": 33.4599990845,
"1648771200000": 30.5799999237,
"1651104000000": 30.5209999084
},
"Close": {
"1638316800000": 103.6900024414,
"1640995200000": 65.7399978638,
"1643673600000": 67.5599975586,
"1646092800000": 50.2400016785,
"1648771200000": 31.2199993134,
"1651104000000": 30.6100006104
}
}
All I'm trying to do is assign the "Close" data to a new variable close and return close instead of the entire dictionary response.
Here is what I'm currently trying and I've tried different variations and all keep returning "string indices must be integers"
#app.route("/history")
def display_history():
symbol = request.args.get('symbol', default="AAPL")
period = request.args.get('period', default="1y")
interval = request.args.get('interval', default="1mo")
quote = yf.Ticker(symbol)
hist = quote.history(period=period, interval=interval)
data = hist.to_json()
close = data["Close"]
return close

You are trying to use data, which is a string with json format, as your interpreter told you.
In order to read it as a dictionary with the key "Close", you can use the function loads from json package. It deserializes the string to a Python dictionary :
data = hist.to_json()
data = json.loads(data)
close = data["Close"]
Additionally, it appears that Ticker.history(), from yfinance module, returns a pandas Dataframe. If it is the case, you can use this instead :
data = hist.to_dict()
close = data['Close']
This way, the data is not converted to Json then back to Python dictionary again but straight to a dictionary.

Get the value of specific key from JSON file python

I have a JSON file containing the list of price changes of all cryptocurrencies
I want to extract all 'percentage' for all the coins.
Using the code below it throws TypeError: string indices must be integers (which I know is totally wrong, Basically trying to understand how can I search for percentage and get its value for all items)
with open('balance.txt') as json_file:
data = json.load(json_file)
for json_i in data:
print(json_i['priceChangePercent'])
Any help is appreciated
I have attached the json file hereJSON FILE
Below is the sample of JSON file for those who dont want to open link
{
"ETH/BTC":{
"symbol":"ETH/BTC",
"timestamp":1630501910299,
"datetime":"2021-09-01T13:11:50.299Z",
"open":0.071579,
"close":0.0744,
"last":0.0744,
"previousClose":0.071585,
"change":0.002821,
"percentage":3.941,
"average":null,
"baseVolume":178776.0338,
"quoteVolume":13026.89979053,
"info":{
"symbol":"ETHBTC",
"priceChange":"0.00282100",
"priceChangePercent":"3.941",
"count":"279051"
}
},
"LTC/BTC":{
"symbol":"LTC/BTC",
"timestamp":1630501909389,
"datetime":"2021-09-01T13:11:49.389Z",
"open":0.003629,
"close":0.00365,
"last":0.00365,
"previousClose":0.003629,
"change":2.1e-05,
"percentage":0.579,
"average":null,
"baseVolume":132964.808,
"quoteVolume":485.12431556,
"info":{
"symbol":"LTCBTC",
"priceChange":"0.00002100",
"priceChangePercent":"0.579",
"count":"36021"
}
},
"BNB/BTC":{
"symbol":"BNB/BTC",
"timestamp":1630501910176,
"datetime":"2021-09-01T13:11:50.176Z",
"open":0.009848,
"close":0.010073,
"last":0.010073,
"previousClose":0.009848,
"change":0.000225,
"percentage":2.285,
"average":null,
"baseVolume":220645.713,
"quoteVolume":2187.75954249,
"info":{
"symbol":"BNBBTC",
"priceChange":"0.00022500",
"priceChangePercent":"2.285",
"count":"130422"
}
},

If it is single dictionary, it could be done the following way:
data['LTC/BTC']['info']['priceChangePercent']

Extract it using list comprehension.
percentage_list = [value['percentage'] for value in data.values()]
priceChangePercent_list = [value['info']['priceChangePercent'] for value in data.values()]
print(percentage_list)
print(priceChangePercent_list)
[3.941, 0.579, 2.285]
['3.941', '0.579', '2.285']

try this bro
t = []
for key, value in a.items():
if "info" in value and "priceChangePercent" in value["info"]:
t.append(value["info"]["priceChangePercent"])

Trouble when storing API data in Python list

I'm struggling with my json data that I get from an API. I've gone into several api urls to grab my data, and I've stored it in an empty list. I then want to take out all fields that say "reputation" and I'm only interested in that number. See my code here:
import json
import requests
f = requests.get('my_api_url')
if(f.ok):
data = json.loads(f.content)
url_list = [] #the list stores a number of urls that I want to request data from
for items in data:
url_list.append(items['details_url']) #grab the urls that I want to enter
total_url = [] #stores all data from all urls here
for index in range(len(url_list)):
url = requests.get(url_list[index])
if(url.ok):
url_data = json.loads(url.content)
total_url.append(url_data)
print(json.dumps(total_url, indent=2)) #only want to see if it's working
Thus far I'm happy and can enter all urls and get the data. It's in the next step I get trouble. The above code outputs the following json data for me:
[
[
{
"id": 316,
"name": "storabro",
"url": "https://storabro.net",
"customer": true,
"administrator": false,
"reputation": 568
}
],
[
{
"id": 541,
"name": "sega",
"url": "https://wedonthaveanyyet.com",
"customer": true,
"administrator": false,
"reputation": 45
},
{
"id": 90,
"name": "Villa",
"url": "https://brandvillas.co.uk",
"customer": true,
"administrator": false,
"reputation": 6
}
]
]
However, I only want to print out the reputation, and I cannot get it working. If I in my code instead use print(total_url['reputation']) it doesn't work and says "TypeError: list indices must be integers or slices, not str", and if I try:
for s in total_url:
print(s['reputation'])
I get the same TypeError.
Feels like I've tried everything but I can't find any answers on the web that can help me, but I understand I still have a lot to learn and that my error will be obvious to some people here. It seems very similar to other things I've done with Python, but this time I'm stuck. To clarify, I'm expecting an output similar to: [568, 45, 6]
Perhaps I used the wrong way to do this from the beginning and that's why it's not working all the way for me. Started to code with Python in October and it's still very new to me but I want to learn. Thank you all in advance!

It looks like your total_url is a list of lists, so you might write a function like:
def get_reputations(data):
for url in data:
for obj in url:
print(obj.get('reputation'))
get_reputations(total_url)
# output:
# 568
# 45
# 6
If you'd rather not work with a list of lists in the first place, you can extend the list with each result instead of append in the expression used to construct total_url

You can also use json.load and try to read the response
def get_rep():
response = urlopen(api_url)
r = response.read().decode('utf-8')
r_obj = json.loads(r)
for item in r_obj['response']:
print("Reputation: {}".format(item['reputation']))

Python Key Value Error (Json)

I am trying to grab this data and print into a string of text i am having the worst! issues getting this to work.
Here is the source i am working with to get a better understanding i am working on an envirmental controller and my sonoff switch combined
https://github.com/FirstCypress/LiV/blob/master/software/liv/iotConnectors/sonoff/sonoff.py this code works for two pages once completed so ignore the keys for tempature etc
m = json.loads(content)
co2 = m["Value"]
I need the value of "Value" under the "TaskValues" it should be either a 1 or a 0 in almost any case how would i pulled that key in the right form?
"Sensors":[
{
"TaskValues": [
{"ValueNumber":1,
"Name":"Switch",
"NrDecimals":0,
"Value":0
}],
"DataAcquisition": [
{"Controller":1,
"IDX":0,
"Enabled":"false"
},
{"Controller":2,
"IDX":0,
"Enabled":"false"
},
{"Controller":3,
"IDX":0,
"Enabled":"false"
}],
"TaskInterval":0,
"Type":"Switch input - Switch",
"TaskName":"relias",
"TaskEnabled":"true",
"TaskNumber":1
}
],
"TTL":60000
}

You can get it by
m['Sensors'][0]['TaskValues'][0]['Value']

"Value" is nested in your json, as you've mentioned. To get what you want, you'll need to traverse the parent data structures:
m = json.loads(content)
# This is a list
a = m.get('Sensors')
# This is a dictionary
sensor = a[0]
# This is a list
taskvalue = sensor.get('TaskValues')
# Your answer
value = taskvalue[0].get('Value')

Json file to dictionary

I am using the yelp dataset and I want to parse the review json file to a dictionary. I tried loading it on a pandas DataFrame and then creating the dictionary, but because the file is too big it is time consuming. I want to keep only the user_id and stars values. A line of the json file looks like this:
{
"votes": {
"funny": 0, "useful": 2, "cool": 1},
"user_id": "Xqd0DzHaiyRqVH3WRG7hzg",
"review_id": "15SdjuK7DmYqUAj6rjGowg", "stars": 5, "date": "2007-05-17",
"text": (
"dr. goldberg offers everything i look for in a general practitioner. "
"he's nice and easy to talk to without being patronizing; he's always on "
"time in seeing his patients; he's affiliated with a top-notch hospital (nyu) "
"which my parents have explained to me is very important in case something "
"happens and you need surgery; and you can get referrals to see specialists "
"without having to see him first. really, what more do you need? i'm "
"sitting here trying to think of any complaints i have about him, but i'm "
"really drawing a blank."
),
"type": "review", "business_id": "vcNAWiLM4dR7D2nwwJ7nCA"
}
How can i iterate over every 'field' (for the lack o a better word)? So far i can only iterate over each line.
EDIT
As requested pandas code :
reading the json
with open('yelp_academic_dataset_review.json') as f:
df = pd.DataFrame(json.loads(line) for line in f)
Creating the dictionary
dict = {}
for i, row in df.iterrows():
business_id = row['business_id']
user_id = row['user_id']
rating = row['stars']
key = (business_id, user_id)
dict[key] = rating

You don't need to read this into a DataFrame. json.load() returns a dictionary. For example:
sample.json
{
"votes": {
"funny": 0,
"useful": 2,
"cool": 1
},
"user_id": "Xqd0DzHaiyRqVH3WRG7hzg",
"review_id": "15SdjuK7DmYqUAj6rjGowg",
"stars": 5,
"date": "2007-05-17",
"text": "dr. goldberg offers everything i look for in a general practitioner. he's nice and easy to talk to without being patronizing; he's always on time in seeing his patients; he's affiliated with a top-notch hospital (nyu) which my parents have explained to me is very important in case something happens and you need surgery; and you can get referrals to see specialists without having to see him first. really, what more do you need? i'm sitting here trying to think of any complaints i have about him, but i'm really drawing a blank.",
"type": "review",
"business_id": "vcNAWiLM4dR7D2nwwJ7nCA"
}
read_json.py
import json
with open('sample.json', 'r') as fh:
result_dict = json.load(fh)
print(result_dict['user_id'])
print(result_dict['stars'])
output
Xqd0DzHaiyRqVH3WRG7hzg
5
With that output you can easily create a DataFrame.
There are several good discussions about parsing json as a stream on SO, but the gist is it's not possible natively, although some tools seem to attempt it.
In the interest of keeping your code simple and with minimal dependencies, you might see if reading the json directory into a dictionary is a sufficient improvement.