Groovy spread-dot运算符的Python等效实现及更优可读写法问询
Great question! I totally feel your pain—Groovy's *. spread-dot operator is incredibly clean for extracting properties from collections, especially when dealing with deeply nested structures. Python doesn't have a built-in operator that does exactly this, but there are several approaches to get similar readability and conciseness.
1. Using Built-in Tools: operator.itemgetter + map
For simple, single-level extractions, you can use itemgetter from the operator module combined with map. It’s more concise than a basic list comprehension:
from operator import itemgetter A = [{"a": "1", "b": "2"}, {"a": "3", "b": "4"}, {"a": "5", "b": "6"}] B = list(map(itemgetter("b"), A)) # B becomes ["2", "4", "6"]
For nested structures, you’ll still need to traverse to the inner collection first, but it’s a bit cleaner than a full nested list comprehension:
records = response.json()['data']['ConfigRecords']['page']['records'] ASV_list = list(map(itemgetter("ASV"), records))
2. Third-Party Libraries (Most Groovy-like Experience)
If you don’t mind adding a dependency, libraries like pydash or toolz offer pluck functions that mimic Groovy’s spread-dot behavior—even for nested paths.
pydash
pydash’s pluck method works with dot-separated paths, which is almost identical to Groovy’s syntax:
import pydash # Single level B = pydash.pluck(A, "b") # Nested structure (matches your Groovy example perfectly!) ASV_list = pydash.pluck(response.json(), "data.ConfigRecords.page.records.ASV")
toolz
toolz has a pluck function too. While it doesn’t handle dot-separated nested paths out of the box, you can combine it with get_in for deeper structures:
from toolz import pluck, get_in # Single level B = list(pluck("b", A)) # Nested structure records = get_in(["data", "ConfigRecords", "page", "records"], response.json()) ASV_list = list(pluck("ASV", records))
3. Build Your Own Custom pluck Function
If you want to avoid third-party dependencies, you can easily write a reusable function that handles dot-separated paths, just like Groovy:
def pluck(items, path): keys = path.split(".") # Traverse all but the last key to reach the target collection for key in keys[:-1]: items = [item[key] for item in items] # Extract the final property from each item return [item[keys[-1]] for item in items] # Usage for single level B = pluck(A, "b") # Usage for nested structure ASV_list = pluck(response.json(), "data.ConfigRecords.page.records.ASV")
This function gives you the exact readability you’re missing from Groovy, without needing any external libraries.
Which Should You Choose?
- Use built-in
itemgetterif you want no dependencies and only need simple extractions. - Use pydash if you want the closest possible experience to Groovy’s spread-dot, including nested path support.
- Build your own function if you want full control and no external dependencies for nested use cases.
内容的提问来源于stack exchange,提问作者Alexey Bondarenko

