I have a '.txt' file that contains JSON data like below.
[{'tradable': True, 'mode': 'full', 'instrument_token': 4708097, 'last_price': 178.65, 'last_traded_quantity': 5, 'average_traded_price': 180.1, 'volume_traded': 4581928, 'total_buy_quantity': 1282853, 'total_sell_quantity': 1673842, 'ohlc': {'open': 181.95, 'high': 181.95, 'low': 177.8, 'close': 181.0}, 'change': -1.2983425414364609, 'last_trade_time': datetime.datetime(2023, 1, 12, 13, 4, 58), 'oi': 0, 'oi_day_high': 0, 'oi_day_low': 0, 'exchange_timestamp': datetime.datetime(2023, 1, 12, 13, 5, 1), 'depth': {'buy': [{'quantity': 653, 'price': 178.6, 'orders': 8}, {'quantity': 2408, 'price': 178.55, 'orders': 15}, {'quantity': 6329, 'price': 178.5, 'orders': 22}, {'quantity': 9161, 'price': 178.45, 'orders': 24}, {'quantity': 7775, 'price': 178.4, 'orders': 17}], 'sell': [{'quantity': 5726, 'price': 178.7, 'orders': 8}, {'quantity': 4099, 'price': 178.75, 'orders': 11}, {'quantity': 23951, 'price': 178.8, 'orders': 25}, {'quantity': 7446, 'price': 178.85, 'orders': 21}, {'quantity': 11379, 'price': 178.9, 'orders': 21}]}}, {'tradable': True, 'mode': 'full', 'instrument_token': 871681, 'last_price': 972.55, 'last_traded_quantity': 1, 'average_traded_price': 973.85, 'volume_traded': 411290, 'total_buy_quantity': 152925, 'total_sell_quantity': 214765, 'ohlc': {'open': 971.75, 'high': 978.6, 'low': 969.0, 'close': 967.75}, 'change': 0.4959958667011061, 'last_trade_time': datetime.datetime(2023, 1, 12, 13, 4, 53), 'oi': 0, 'oi_day_high': 0, 'oi_day_low': 0, 'exchange_timestamp': datetime.datetime(2023, 1, 12, 13, 5, 4), 'depth': {'buy': [{'quantity': 6, 'price': 972.15, 'orders': 2}, {'quantity': 3, 'price': 972.1, 'orders': 2}, {'quantity': 15, 'price': 972.05, 'orders': 3}, {'quantity': 455, 'price': 972.0, 'orders': 16}, {'quantity': 14, 'price': 971.95, 'orders': 2}], 'sell': [{'quantity': 6, 'price': 972.5, 'orders': 3}, {'quantity': 49, 'price': 972.55, 'orders': 2}, {'quantity': 10, 'price': 972.6, 'orders': 1}, {'quantity': 27, 'price': 972.65, 'orders': 2}, {'quantity': 10, 'price': 972.7, 'orders': 1}]}}]
This data was written to a .txt file after it was recieved from zerodha websocket. Now, I want to read the data from the .txt file using my python script and want to load it as a json. But the json.loads() method in python throws the below error.
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 1 column 3 (char 2)
I have tried eval and ast.literal_eval methods in python as well but it didn't solve my problem. All I want is to be able to read the above data as a JSON to my python script. Any leads would be of great help.
Let me start off with THIS IS A BAD IDEA.
The comments on the question call out that this is not a JSON object in a file, rather the result of some other Python process printing the result and putting that in a file. The correct solution would be to modify the producer to use json.dumps() instead.
That aside, here's a DANGEROUS way to read that source file into a Python object.
import datetime # needed for `eval()`
with open('textfile.txt', 'r') as f:
data = eval(f.read())
from pprint import pprint
pprint(data)
This will produce the following output from that input:
[{'average_traded_price': 180.1,
'change': -1.2983425414364609,
'depth': {'buy': [{'orders': 8, 'price': 178.6, 'quantity': 653},
{'orders': 15, 'price': 178.55, 'quantity': 2408},
{'orders': 22, 'price': 178.5, 'quantity': 6329},
{'orders': 24, 'price': 178.45, 'quantity': 9161},
{'orders': 17, 'price': 178.4, 'quantity': 7775}],
'sell': [{'orders': 8, 'price': 178.7, 'quantity': 5726},
{'orders': 11, 'price': 178.75, 'quantity': 4099},
{'orders': 25, 'price': 178.8, 'quantity': 23951},
{'orders': 21, 'price': 178.85, 'quantity': 7446},
{'orders': 21, 'price': 178.9, 'quantity': 11379}]},
'exchange_timestamp': datetime.datetime(2023, 1, 12, 13, 5, 1),
'instrument_token': 4708097,
'last_price': 178.65,
'last_trade_time': datetime.datetime(2023, 1, 12, 13, 4, 58),
'last_traded_quantity': 5,
'mode': 'full',
'ohlc': {'close': 181.0, 'high': 181.95, 'low': 177.8, 'open': 181.95},
'oi': 0,
'oi_day_high': 0,
'oi_day_low': 0,
'total_buy_quantity': 1282853,
'total_sell_quantity': 1673842,
'tradable': True,
'volume_traded': 4581928},
{'average_traded_price': 973.85,
'change': 0.4959958667011061,
'depth': {'buy': [{'orders': 2, 'price': 972.15, 'quantity': 6},
{'orders': 2, 'price': 972.1, 'quantity': 3},
{'orders': 3, 'price': 972.05, 'quantity': 15},
{'orders': 16, 'price': 972.0, 'quantity': 455},
{'orders': 2, 'price': 971.95, 'quantity': 14}],
'sell': [{'orders': 3, 'price': 972.5, 'quantity': 6},
{'orders': 2, 'price': 972.55, 'quantity': 49},
{'orders': 1, 'price': 972.6, 'quantity': 10},
{'orders': 2, 'price': 972.65, 'quantity': 27},
{'orders': 1, 'price': 972.7, 'quantity': 10}]},
'exchange_timestamp': datetime.datetime(2023, 1, 12, 13, 5, 4),
'instrument_token': 871681,
'last_price': 972.55,
'last_trade_time': datetime.datetime(2023, 1, 12, 13, 4, 53),
'last_traded_quantity': 1,
'mode': 'full',
'ohlc': {'close': 967.75, 'high': 978.6, 'low': 969.0, 'open': 971.75},
'oi': 0,
'oi_day_high': 0,
'oi_day_low': 0,
'total_buy_quantity': 152925,
'total_sell_quantity': 214765,
'tradable': True,
'volume_traded': 411290}]
Again, I will restate, THIS IS A BAD IDEA.
Read more on the specifics of eval here: https://realpython.com/python-eval-function/
Your JSON is not valid. You can check that by using an online JSON validator like this one: https://jsonformatter.org/
After entering the “JSON”, you can see it is not in a valid format.
You could either export it right, which I would highly recommend, or you could replace the wrong chars.
Currently, you have three issues:
You are using single quotes instead of double quotes
You are not parsing your datetime object, it looks like you just insert the object, you have to serialize it
You are writing true values as True, but that is the python way and not the JSON way. You either have to write it as true, or you have to pass it as a string. I would recommend the first one.
It could look like this (but I didnt parse datetime right, I just stringified it):
[{"tradable": true, "mode": "full", "instrument_token": 4708097, "last_price": 178.65, "last_traded_quantity": 5, "average_traded_price": 180.1, "volume_traded": 4581928, "total_buy_quantity": 1282853, "total_sell_quantity": 1673842, "ohlc": {"open": 181.95, "high": 181.95, "low": 177.8, "close": 181.0}, "change": -1.2983425414364609, "last_trade_time": "datetime.datetime(2023, 1, 12, 13, 4, 58)", "oi": 0, "oi_day_high": 0, "oi_day_low": 0, "exchange_timestamp": "datetime.datetime(2023, 1, 12, 13, 5, 1)", "depth": {"buy": [{"quantity": 653, "price": 178.6, "orders": 8}, {"quantity": 2408, "price": 178.55, "orders": 15}, {"quantity": 6329, "price": 178.5, "orders": 22}, {"quantity": 9161, "price": 178.45, "orders": 24}, {"quantity": 7775, "price": 178.4, "orders": 17}], "sell": [{"quantity": 5726, "price": 178.7, "orders": 8}, {"quantity": 4099, "price": 178.75, "orders": 11}, {"quantity": 23951, "price": 178.8, "orders": 25}, {"quantity": 7446, "price": 178.85, "orders": 21}, {"quantity": 11379, "price": 178.9, "orders": 21}]}}, {"tradable": true, "mode": "full", "instrument_token": 871681, "last_price": 972.55, "last_traded_quantity": 1, "average_traded_price": 973.85, "volume_traded": 411290, "total_buy_quantity": 152925, "total_sell_quantity": 214765, "ohlc": {"open": 971.75, "high": 978.6, "low": 969.0, "close": 967.75}, "change": 0.4959958667011061, "last_trade_time": "datetime.datetime(2023, 1, 12, 13, 4, 53)", "oi": 0, "oi_day_high": 0, "oi_day_low": 0, "exchange_timestamp": "datetime.datetime(2023, 1, 12, 13, 5, 4)", "depth": {"buy": [{"quantity": 6, "price": 972.15, "orders": 2}, {"quantity": 3, "price": 972.1, "orders": 2}, {"quantity": 15, "price": 972.05, "orders": 3}, {"quantity": 455, "price": 972.0, "orders": 16}, {"quantity": 14, "price": 971.95, "orders": 2}], "sell": [{"quantity": 6, "price": 972.5, "orders": 3}, {"quantity": 49, "price": 972.55, "orders": 2}, {"quantity": 10, "price": 972.6, "orders": 1}, {"quantity": 27, "price": 972.65, "orders": 2}, {"quantity": 10, "price": 972.7, "orders": 1}]}}]
Related
main_dict = {
'NSE:ACC': {'average_price': 0,
'buy_quantity': 0,
'depth': {'buy': [{'orders': 0, 'price': 0, 'quantity': 0},
{'orders': 0, 'price': 0, 'quantity': 0},
{'orders': 0, 'price': 0, 'quantity': 0},
{'orders': 0, 'price': 0, 'quantity': 0},
{'orders': 0, 'price': 0, 'quantity': 0}],
'sell': [{'orders': 0, 'price': 0, 'quantity': 0},
{'orders': 0, 'price': 0, 'quantity': 0},
{'orders': 0, 'price': 0, 'quantity': 0},
{'orders': 0, 'price': 0, 'quantity': 0},
{'orders': 0, 'price': 0, 'quantity': 0}]},
'instrument_token': 5633,
'last_price': 2488.9,
'last_quantity': 0,
'last_trade_time': '2022-09-23 15:59:10',
'lower_circuit_limit': 2240.05,
'net_change': 0,
'ohlc': {'close': 2555.7,
'high': 2585.5,
'low': 2472.2,
'open': 2575},
'oi': 0,
'oi_day_high': 0,
'oi_day_low': 0,
'sell_quantity': 0,
'timestamp': '2022-09-23 18:55:17',
'upper_circuit_limit': 2737.75,
'volume': 0},
}
convert dict to pandas dataframe
for example:
symbol last_price net_change Open High Low Close
NSE:ACC 2488.9 0 2575 2585.5 2472.2 2555.7
I am trying pd.DataFrame.from_dict(main_dict)
but it does not work.
please give the best suggestion.
I would first select the necessary data from your dict and then pass that as input to pd.DataFrame()
df_input = [{
"symbol": symbol,
"last_price": main_dict.get(symbol).get("last_price"),
"net_change": main_dict.get(symbol).get("net_change"),
"open": main_dict.get(symbol).get("ohlc").get("open"),
"high": main_dict.get(symbol).get("ohlc").get("high"),
"low": main_dict.get(symbol).get("ohlc").get("low"),
"close": main_dict.get(symbol).get("ohlc").get("close")
} for symbol in main_dict]
import pandas as pd
df = pd.DataFrame(df_input)
I have a dataframe with nested json as column.
df.depth
0 {'buy': [{'quantity': 51, 'price': 2275.85, 'o...
1 {'buy': [{'quantity': 1, 'price': 2275.85, 'or...
2 {'buy': [{'quantity': 1, 'price': 2275.85, 'or..
inside each row have 5 depths of buy sell
df.depth[0]
{'buy': [{...}, {...}, {...}, {...}, {...}], 'sell': [{...}, {...}, {...}, {...}, {...}]}
real json structure is as below
{'buy': [{'quantity': 51, 'price': 2275.85, 'orders': 2}, {'quantity': 38, 'price': 2275.8, 'orders': 2}, {'quantity': 108, 'price': 2275.75, 'orders': 3}, {'quantity': 120, 'price': 2275.7, 'orders': 2}, {'quantity': 6, 'price': 2275.6, 'orders': 1}], 'sell': [{'quantity': 353, 'price': 2276.95, 'orders': 1}, {'quantity': 29, 'price': 2277.0, 'orders': 2}, {'quantity': 54, 'price': 2277.1, 'orders': 2}, {'quantity': 200, 'price': 2277.2, 'orders': 1}, {'quantity': 4, 'price': 2277.25, 'orders': 1}]}
i want to explode this in to something like this
Required Output:
depth.buy.quantity1 df.depth.buy.price1 ... depth.sell.quantity1 depth.sell.price1....
0 51 2275.85.... 353 2276
1 1 2275.85.... 352 2276
how to do it ?
Edit:
for help i have added demo dataframe:
a={'buy': [{'quantity': 51, 'price': 2275.85, 'orders': 2}, {'quantity': 38, 'price': 2275.8, 'orders': 2}, {'quantity': 108, 'price': 2275.75, 'orders': 3}, {'quantity': 120, 'price': 2275.7, 'orders': 2}, {'quantity': 6, 'price': 2275.6, 'orders': 1}], 'sell': [{'quantity': 353, 'price': 2276.95, 'orders': 1}, {'quantity': 29, 'price': 2277.0, 'orders': 2}, {'quantity': 54, 'price': 2277.1, 'orders': 2}, {'quantity': 200, 'price': 2277.2, 'orders': 1}, {'quantity': 4, 'price': 2277.25, 'orders': 1}]}
c=dict()
c['depth'] = a
df = pd.DataFrame([c,c])
You could try concat:
df = pd.concat([pd.concat([pd.DataFrame(x, index=[0]) for x in i], axis=1) for i in pd.json_normalize(df['depth'])['buy'].tolist()], ignore_index=True)
print(df)
Output:
quantity price orders quantity price orders ... quantity price orders quantity price orders
0 51 2275.85 2 38 2275.8 2 ... 120 2275.7 2 6 2275.6 1
1 51 2275.85 2 38 2275.8 2 ... 120 2275.7 2 6 2275.6 1
[2 rows x 15 columns]
This question already has answers here:
How to remove items from a list while iterating?
(25 answers)
Closed 2 years ago.
I'm trying to add a unique ID to every item in a list and struggling with some strange behaviour I don't understand from Python.
I have this function:
def add_IDs(d):
for x in range(len(d)):
var = d.pop(x)
var['list_id'] = x
d.insert(x, var)
return d
Into which I input this data:
[{'db_number': 1, 'quantity': 15, 'quality': 1},
{'db_number': 1, 'quantity': 20, 'quality': 0},
{'db_number': 1, 'quantity': 20, 'quality': 0},
{'db_number': 1, 'quantity': 80, 'quality': 0},
{'db_number': 2, 'quantity': 4, 'quality': 0}]
I expect this output:
[{'db_number': 1, 'quantity': 15, 'quality': 1, 'list_id': 0},
{'db_number': 1, 'quantity': 20, 'quality': 0, 'list_id': 1},
{'db_number': 1, 'quantity': 20, 'quality': 0, 'list_id': 2},
{'db_number': 1, 'quantity': 80, 'quality': 0, 'list_id': 3},
{'db_number': 2, 'quantity': 4, 'quality': 0, 'list_id': 4}]
But instead the second dict in the list, gets 'list_id': 2 instead of 'list_id': 1
[{'db_number': 1, 'quantity': 15, 'quality': 1, 'list_id': 0},
{'db_number': 1, 'quantity': 20, 'quality': 0, 'list_id': 2},
{'db_number': 1, 'quantity': 20, 'quality': 0, 'list_id': 2},
{'db_number': 1, 'quantity': 80, 'quality': 0, 'list_id': 3},
{'db_number': 2, 'quantity': 4, 'quality': 0, 'list_id': 4}]
As a test I wrote this:
def add_IDs(d):
for x in range(len(d)):
var = d.pop(x)
var['list_id'] = x
d.insert(x, var)
return d
data2 = [{'db_number': 1, 'quantity': 15, 'quality': 1},
{'db_number': 1, 'quantity': 20, 'quality': 0},
{'db_number': 1, 'quantity': 20, 'quality': 0},
{'db_number': 1, 'quantity': 80, 'quality': 0},
{'db_number': 2, 'quantity': 4, 'quality': 0}]
print(data)
print(data2)
l1 = add_IDs(data)
l2 = add_IDs(data2)
print(l1)
print(l2)
print("")
print('Does data = data2?')
print(data == data2)
print('Does l1 = l2?')
print(l1 == l2)
Which gives this output:
[{'db_number': 1, 'quantity': 15, 'quality': 1}, {'db_number': 1, 'quantity': 20, 'quality': 0}, {'db_number': 1, 'quantity': 20, 'quality': 0}, {'db_number': 1, 'quantity': 80, 'quality': 0}, {'db_number': 2, 'quantity': 4, 'quality': 0}]
[{'db_number': 1, 'quantity': 15, 'quality': 1}, {'db_number': 1, 'quantity': 20, 'quality': 0}, {'db_number': 1, 'quantity': 20, 'quality': 0}, {'db_number': 1, 'quantity': 80, 'quality': 0}, {'db_number': 2, 'quantity': 4, 'quality': 0}]
[{'db_number': 1, 'quantity': 15, 'quality': 1, 'list_id': 0}, {'db_number': 1, 'quantity': 20, 'quality': 0, 'list_id': 2}, {'db_number': 1, 'quantity': 20, 'quality': 0, 'list_id': 2}, {'db_number': 1, 'quantity': 80, 'quality': 0, 'list_id': 3}, {'db_number': 2, 'quantity': 4, 'quality': 0, 'list_id': 4}]
[{'db_number': 1, 'quantity': 15, 'quality': 1, 'list_id': 0}, {'db_number': 1, 'quantity': 20, 'quality': 0, 'list_id': 1}, {'db_number': 1, 'quantity': 20, 'quality': 0, 'list_id': 2}, {'db_number': 1, 'quantity': 80, 'quality': 0, 'list_id': 3}, {'db_number': 2, 'quantity': 4, 'quality': 0, 'list_id': 4}]
Does data = data2?
False
Does l1 = l2?
False
Process finished with exit code 0
As far as I can see, the input data is identical for both, the inbuilt comparison tool tells me the printed values are identical, but the output is still different and the checks say they are different. Can someone shed some light on what I'm missing?
First off, you can simplify your logic substantially:
def add_ids(items):
for index, item in enumerate(items):
item['list_id'] = index
I was unable to reproduce your issue in python 2 or python3.
Note that the len issue mentioned in a comment will not come into play, since you calculate it once, when the range is created, not at each point in the list.
With the additional information from your comment that the approach above gave the same behavior, I know your issue - you are using the same object for two entries in your list.
x, y, z = {}, {}, {}
items = [x, y, y, z]
for index, item in enumerate(items):
print(index, item, id(item))
Note that index 1 and 2 have the same id
0 {} 4446764960
1 {} 4446764960
2 {} 4446790512
3 {} 4430894656
Then running
add_ids(items)
sets the index for y twice, once for index 1 and then for index 2.
assert items == [{'list_id': 0}, {'list_id': 2}, {'list_id': 2}, {'list_id': 3}]
Any change to y will show up in both items[1] and items[2], since they are the same object.
I have this :
[
[{ 'position': 1, 'user_id': 2, 'value': 4, 'points': 100}],
[{ 'position': 2, 'user_id': 6, 'value': 3, 'points': 88}],
[{ 'position': 3, 'user_id': 5, 'value': 2, 'points': 77}],
[{ 'position': 4, 'user_id': 7, 'value': 1, 'points': 66}],
[{ 'position': 5, 'user_id': 3, 'value': 1, 'points': 9}],
[{ 'position': 6, 'user_id': 11, 'value': 0, 'points': 9}],
[{ 'position': 7, 'user_id': 1, 'value': 0, 'points': 3}],
[{ 'position': 8, 'user_id': 10, 'value': 0, 'points': 3}],
[{ 'position': 9, 'user_id': 4, 'value': 0, 'points': 2}],
[{ 'position': 10, 'user_id': 8, 'value': 0, 'points': 2}]
]
is organized by points.
The idea is to choose the user_id and generate a new list with the selected 5 users.
Example:
user_id=3:
[{ 'position': 3, 'user_id': 5, 'value': 2, 'points': 77}],
[{ 'position': 4, 'user_id': 7, 'value': 1, 'points': 66}],
[{ 'position': 5, 'user_id': 3, 'value': 1, 'points': 9}],
[{ 'position': 6, 'user_id': 11, 'value': 0, 'points': 9}],
[{ 'position': 7, 'user_id': 1, 'value': 0, 'points': 3}]
It returns user_id 3 in the middle with 2 users hight and 2 users lower
user_id=2
[{ 'position': 1, 'user_id': 2, 'value': 4, 'points': 100}],
[{ 'position': 2, 'user_id': 6, 'value': 3, 'points': 88}],
[{ 'position': 3, 'user_id': 5, 'value': 2, 'points': 77}],
[{ 'position': 4, 'user_id': 7, 'value': 1, 'points': 66}],
[{ 'position': 5, 'user_id': 3, 'value': 1, 'points': 9}],
As user_id hasn't higher users it returns 4 lower users. So is always same logic.
user_id=9:
[{ 'position': 6, 'user_id': 11, 'value': 0, 'points': 9}],
[{ 'position': 7, 'user_id': 1, 'value': 0, 'points': 3}],
[{ 'position': 8, 'user_id': 10, 'value': 0, 'points': 3}],
[{ 'position': 9, 'user_id': 4, 'value': 0, 'points': 2}],
[{ 'position': 10, 'user_id': 8, 'value': 0, 'points': 2}]
on user_id=9 We only have 1 user lower so we add 3 higher users
If for example we just have 2 users in list, it should return that 2 users.
Main rules:
If we have 5 users or more, as to return 5 users.
if we have 4 users, as to return 4 users
How is a good way to do it?
thanks
This is basically only an update of my answer to your original question.
a = [
[{ 'position': 1, 'user_id': 2, 'value': 4, 'points': 100}],
[{ 'position': 2, 'user_id': 6, 'value': 3, 'points': 88}],
[{ 'position': 3, 'user_id': 5, 'value': 2, 'points': 77}],
[{ 'position': 4, 'user_id': 7, 'value': 1, 'points': 66}],
[{ 'position': 5, 'user_id': 3, 'value': 1, 'points': 9}],
[{ 'position': 6, 'user_id': 11, 'value': 0, 'points': 9}],
[{ 'position': 7, 'user_id': 1, 'value': 0, 'points': 3}],
[{ 'position': 8, 'user_id': 10, 'value': 0, 'points': 3}],
[{ 'position': 9, 'user_id': 4, 'value': 0, 'points': 2}],
[{ 'position': 10, 'user_id': 8, 'value': 0, 'points': 2}]
]
# Sort it if not already sorted
# a.sort(key=lambda x: x[0]['position'])
def find_index(l, user_id):
i = 0
while l[i][0]['user_id'] != user_id:
i += 1
return i
def get_subset(l, i):
return l[:(i + 1 + max(2, 4 - i))][-5:]
get_subset(a, find_index(a, 3))
I have below list with nested lists (sort of key,values)
inp1=[{'id': 0, 'name': 98, 'value': 9}, {'id': 1, 'name': 66, 'value': 8}, {'id': 2, 'name': 29, 'value': 5}, {'id': 3, 'name': 99, 'value': 3}, {'id': 4, 'name': 15, 'value': 9}]
Am trying to replace 'name' with 'wid' and 'value' with 'wrt', how can I do it on same list?
My output should be like
inp1=[{'id': 0, 'wid': 98, 'wrt': 9}, {'id': 1, 'wid': 66, 'wrt': 8}, {'id': 2, 'wid': 29, 'wrt': 5}, {'id': 3, 'wid': 99, 'wrt': 3}, {'id': 4, 'wid': 15, 'wrt': 9}]
I tried below, but it doesn't work as list cannot be indexed with string but integer
inp1['name'] = inp1['wid']
inp1['value'] = inp1['wrt']
I tried if I can find any examples, but mostly I found only this for dictionary and not list.
You need to iterate each item, and remove the old entry (dict.pop is handy for this - it removes an entry and return the value) and assign to new keyes:
>>> inp1 = [
... {'id': 0, 'name': 98, 'value': 9},
... {'id': 1, 'name': 66, 'value': 8},
... {'id': 2, 'name': 29, 'value': 5},
... {'id': 3, 'name': 99, 'value': 3},
... {'id': 4, 'name': 15, 'value': 9}
... ]
>>>
>>> for d in inp1:
... d['wid'] = d.pop('name')
... d['wrt'] = d.pop('value')
...
>>> inp1
[{'wid': 98, 'id': 0, 'wrt': 9},
{'wid': 66, 'id': 1, 'wrt': 8},
{'wid': 29, 'id': 2, 'wrt': 5},
{'wid': 99, 'id': 3, 'wrt': 3},
{'wid': 15, 'id': 4, 'wrt': 9}]
def f(item):
if(item.has_key('name') and not item.has_key('wid')):
item['wid']=item.pop('name')
if(item.has_key('value') and not item.has_key('wrt')):
item['wrt']=item.pop('value')
map(f,inp1)
Output:
[{'wrt': 9, 'wid': 98, 'id': 0}, {'wrt': 8, 'wid': 66, 'id': 1}, {'wrt': 5, 'wid': 29, 'id': 2}, {'wrt': 3, 'wid': 99, 'id': 3}, {'wrt': 9, 'wid': 15, 'id': 4}]