我有词典列表
vals = [
{'tmpl_id': 67, 'qty_available': -3.0, 'product_id': 72, 'product_qty': 1.0},
{'tmpl_id': 67, 'qty_available': 5.0, 'product_id': 71, 'product_qty': 1.0}
{'tmpl_id': 69, 'qty_available': 10.0, 'product_id': 74, 'product_qty': 1.0}
]
from operator import itemgetter
getvals = operator.itemgetter('tmpl_id')
val.sort(key=getvals)
result = []
for k, g in itertools.groupby(val, getvals):
result.append(g.next())
val[:] = result
我想删除重复值(tmpl_id)并且还基于qty_available是较小或负面
输出将如下:
vals = [
{'tmpl_id': 67, 'qty_available': 5.0, 'product_id': 71, 'product_qty': 1.0}
{'tmpl_id': 69, 'qty_available': 10.0, 'product_id': 74, 'product_qty': 1.0}
]
答案 0 :(得分:1)
您可以使用"tmpl_id"
中的值作为键设置dict作为值来存储dicts,如果你得到一个更高'qty_available'
的dict,那么你用当前的dict替换:
def remove_dupes(l, k, k2):
seen = {}
for d in vals:
v, v2 = d[k], d[k2]
if v not in seen:
seen[v] = d
elif v2 > seen[v][k2]:
seen[v] = d
return seen
vals[:] = remove_dupes(vals, "tmpl_id",'qty_available' ).values()
输出:
[{'product_id': 71, 'qty_available': 5.0, 'tmpl_id': 67, 'product_qty': 1.0},
{'product_id': 74, 'qty_available': 10.0, 'tmpl_id': 69, 'product_qty': 1.0}]
如果你要使用sorted和groupby,你只需要反向排序并从每个v中获取第一个值:
from itertools import groupby
from operator import itemgetter
keys = itemgetter("tmpl_id",'qty_available')
vals[:] = (next(v) for k,v in groupby(sorted(vals, key=keys,reverse=True),
key=itemgetter("tmpl_id")))
print(vals)
反转排序意味着较高的'qty_available'
将首先出现,因此对于唯一的dicts,它只会给你那个dict,对于重复的tmpl_id,你将获得qty_available'的最大值的那个。
如果您想要一个就地排序而不是创建一个新列表,只需使用vals.sort()
并删除对已排序的调用
答案 1 :(得分:0)
from collections import Counter
vals = [{'tmpl_id': 67, 'qty_available': -3.0, 'product_id': 72, 'product_qty': 1.0},
{'tmpl_id': 67, 'qty_available': 5.0, 'product_id': 71, 'product_qty': 1.0},
{'tmpl_id': 69, 'qty_available': 10.0, 'product_id': 74, 'product_qty': 1.0},]
k = [x['tmpl_id'] for x in vals]
new_vals=[]
for i in Counter(k):
all = [x for x in vals if x['tmpl_id']==i]
new_vals.append(max(all, key=lambda x: x['qty_available']))
>>> new_vals
[
{'product_qty': 1.0, 'qty_available': 5.0, 'tmpl_id': 67, 'product_id': 71},
{'product_qty': 1.0, 'qty_available': 10.0, 'tmpl_id': 69, 'product_id': 74}
]