比较列表中多个字典的键和值
Compare keys and values from multiple dicts inside a list
我有一个包含多个词典的列表。
这是我的清单:
[{'clicks': 1.2195121951219512, 'conversions': 1.4227642276422763, 'cpc': 2.2357723577235773, 'cpm': 4.471544715447155, 'reach': 90.65040650406505},
{'clicks': 1.2048192771084338, 'conversions': 1.4056224899598393, 'cpc': 2.208835341365462, 'cpm': 5.622489959839357, 'reach': 89.5582329317269}]
我的最终目标是制作一个 dict
具有上述指令的平均值。
示例:
[{'clicks': 1.2048192771084338, 'conversions': 1.4056224899598393, 'cpc': 2.208835341365462, 'cpm': 5.622489959839357, 'reach': 89.5582329317269}]
我的问题是:如何一次访问和比较来自多个字典的键?有更好的方法吗?
试试这个...
lst = [{'clicks': 1.2195121951219512, 'conversions': 1.4227642276422763, 'cpc': 2.2357723577235773, 'cpm': 4.471544715447155, 'reach': 90.65040650406505},
{'clicks': 1.2048192771084338, 'conversions': 1.4056224899598393, 'cpc': 2.208835341365462, 'cpm': 5.622489959839357, 'reach': 89.5582329317269}]
res = {}
keys_ = ['clicks', 'conversions', 'cpc', 'cpm', 'reach']
for j in keys_:
temp = [i[j] for i in lst]
res[j] = sum(temp)/len(temp)
print(res)
或者你也可以试试这个单行代码
print({j:sum([i[j] for i in lst])/len([i[j] for i in lst]) for j in lst[0].keys()})
如果它不起作用请告诉我...
如果列表中的所有词典都有相同的键,您可以使用:
from statistics import mean
lst = [
{
"clicks": 1.2195121951219512,
"conversions": 1.4227642276422763,
"cpc": 2.2357723577235773,
"cpm": 4.471544715447155,
"reach": 90.65040650406505,
},
{
"clicks": 1.2048192771084338,
"conversions": 1.4056224899598393,
"cpc": 2.208835341365462,
"cpm": 5.622489959839357,
"reach": 89.5582329317269,
},
]
out = {k: mean(d[k] for d in lst) for k in lst[0]}
print(out)
打印:
{
"clicks": 1.2121657361151925,
"conversions": 1.4141933588010578,
"cpc": 2.2223038495445193,
"cpm": 5.047017337643256,
"reach": 90.10431971789598,
}
我希望下面的代码能帮助您了解如何找到多个字典项列表的平均值
# your list of dict items
dlist = [{'clicks': 1.2195121951219512, 'conversions': 1.4227642276422763, 'cpc': 2.2357723577235773, 'cpm': 4.471544715447155, 'reach': 90.65040650406505},
{'clicks': 1.2048192771084338, 'conversions': 1.4056224899598393, 'cpc': 2.208835341365462, 'cpm': 5.622489959839357, 'reach': 89.5582329317269}]
newdict = {}
for d in dlist:
for k, v in d.items():
if k in newdict:
newdict[k].append(v)
else:
newdict[k] = [v]
# find average from the new dict
for key, value in newdict.items():
newdict[key] = sum(value)/len(value)
print(newdict)
输出
{'clicks': 1.2121657361151925,
'conversions': 1.4141933588010578,
'cpc': 2.2223038495445193,
'cpm': 5.047017337643256,
'reach': 90.10431971789598}
我有一个包含多个词典的列表。
这是我的清单:
[{'clicks': 1.2195121951219512, 'conversions': 1.4227642276422763, 'cpc': 2.2357723577235773, 'cpm': 4.471544715447155, 'reach': 90.65040650406505},
{'clicks': 1.2048192771084338, 'conversions': 1.4056224899598393, 'cpc': 2.208835341365462, 'cpm': 5.622489959839357, 'reach': 89.5582329317269}]
我的最终目标是制作一个 dict
具有上述指令的平均值。
示例:
[{'clicks': 1.2048192771084338, 'conversions': 1.4056224899598393, 'cpc': 2.208835341365462, 'cpm': 5.622489959839357, 'reach': 89.5582329317269}]
我的问题是:如何一次访问和比较来自多个字典的键?有更好的方法吗?
试试这个...
lst = [{'clicks': 1.2195121951219512, 'conversions': 1.4227642276422763, 'cpc': 2.2357723577235773, 'cpm': 4.471544715447155, 'reach': 90.65040650406505},
{'clicks': 1.2048192771084338, 'conversions': 1.4056224899598393, 'cpc': 2.208835341365462, 'cpm': 5.622489959839357, 'reach': 89.5582329317269}]
res = {}
keys_ = ['clicks', 'conversions', 'cpc', 'cpm', 'reach']
for j in keys_:
temp = [i[j] for i in lst]
res[j] = sum(temp)/len(temp)
print(res)
或者你也可以试试这个单行代码
print({j:sum([i[j] for i in lst])/len([i[j] for i in lst]) for j in lst[0].keys()})
如果它不起作用请告诉我...
如果列表中的所有词典都有相同的键,您可以使用:
from statistics import mean
lst = [
{
"clicks": 1.2195121951219512,
"conversions": 1.4227642276422763,
"cpc": 2.2357723577235773,
"cpm": 4.471544715447155,
"reach": 90.65040650406505,
},
{
"clicks": 1.2048192771084338,
"conversions": 1.4056224899598393,
"cpc": 2.208835341365462,
"cpm": 5.622489959839357,
"reach": 89.5582329317269,
},
]
out = {k: mean(d[k] for d in lst) for k in lst[0]}
print(out)
打印:
{
"clicks": 1.2121657361151925,
"conversions": 1.4141933588010578,
"cpc": 2.2223038495445193,
"cpm": 5.047017337643256,
"reach": 90.10431971789598,
}
我希望下面的代码能帮助您了解如何找到多个字典项列表的平均值
# your list of dict items
dlist = [{'clicks': 1.2195121951219512, 'conversions': 1.4227642276422763, 'cpc': 2.2357723577235773, 'cpm': 4.471544715447155, 'reach': 90.65040650406505},
{'clicks': 1.2048192771084338, 'conversions': 1.4056224899598393, 'cpc': 2.208835341365462, 'cpm': 5.622489959839357, 'reach': 89.5582329317269}]
newdict = {}
for d in dlist:
for k, v in d.items():
if k in newdict:
newdict[k].append(v)
else:
newdict[k] = [v]
# find average from the new dict
for key, value in newdict.items():
newdict[key] = sum(value)/len(value)
print(newdict)
输出
{'clicks': 1.2121657361151925,
'conversions': 1.4141933588010578,
'cpc': 2.2223038495445193,
'cpm': 5.047017337643256,
'reach': 90.10431971789598}