Menu
How do I sum duplicate elements in a list of lists of dictionaries?
Sample list:
data = [
[
{'user': 1, 'rating': 0},
{'user': 2, 'rating': 10},
{'user': 1, 'rating': 20},
{'user': 3, 'rating': 10}
],
[
{'user': 4, 'rating': 4},
{'user': 2, 'rating': 80},
{'user': 1, 'rating': 20},
{'user': 1, 'rating': 10}
],
]
Expected output:
op = [
[
{'user': 1, 'rating': 20},
{'user': 2, 'rating': 10},
{'user': 3, 'rating': 10}
],
[
{'user': 4, 'rating': 4},
{'user': 2, 'rating': 80},
{'user': 1, 'rating': 30},
],
]
272
Practical Data Science using Python It is pretty easy to get the sum of values of a python dictionary. You can first get the values in a list using the dict. values(). Then you can call the sum method to get the sum of these values.
To sum the values in a list of dictionaries: Use a generator expression to iterate over the list. On each iteration, access the current dictionary at the specific key. Pass the generator expression to the sum() function.
Using sum() function A simple solution is to use the built-in function sum() to calculate the sum of all the dictionary's values. The idea is to get a view of the dictionary's values using the dict. values() function and pass it to sum() . You can also achieve this with a list comprehension.
With pandas:
>>> import pandas as pd
>>> [pd.DataFrame(dicts).groupby('user', as_index=False, sort=False).sum().to_dict(orient='records') for dicts in data]
[[{'user': 1, 'rating': 20},
{'user': 2, 'rating': 10},
{'user': 3, 'rating': 10}],
[{'user': 4, 'rating': 4},
{'user': 2, 'rating': 80},
{'user': 1, 'rating': 30}]]
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
