You can use Python's groupby() function to group the query results by a specific column. Here's an example:
Assuming you have a list of dictionaries, where each dictionary represents a row from the query results:
query_results = [
{'id': 1, 'name': 'John', 'age': 25},
{'id': 2, 'name': 'Jane', 'age': 30},
{'id': 3, 'name': 'Bob', 'age': 25},
{'id': 4, 'name': 'Sue', 'age': 30}
]
If you want to group the results by age, you can use the following code:
from itertools import groupby
query_results.sort(key=lambda x: x['age'])
grouped_results = {}
for key, group in groupby(query_results, lambda x: x['age']):
grouped_results[key] = list(group)
print(grouped_results)
This will produce the following output:
{
25: [
{'id': 1, 'name': 'John', 'age': 25},
{'id': 3, 'name': 'Bob', 'age': 25}
],
30: [
{'id': 2, 'name': 'Jane', 'age': 30},
{'id': 4, 'name': 'Sue', 'age': 30}
]
}
In this example, the query results are first sorted by age using lambda function. The groupby() function from itertools is then used to group the results by age, creating a dictionary where each key is the age and the value is a list of objects with that age.
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Asked: 2021-09-03 11:00:00 +0000
Seen: 9 times
Last updated: Oct 05 '22
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