我觉得这是一个重复的问题。假设我有以下 python 字典:
dict = {"file1":["January", "April", "May", "December"],
"file2":["February", "March", "May", "December"],
"file3":["March", "October", "November", "December"]}
我想知道这个字典dict中每个值的总频率，即
"December": 3
"May": 2
"March": 2
"January": 1
"February": 1
"April": 1
"October": 1
"November": 1
最终目标是创建一个直方图，所以我怀疑我会将其转换为 pandas 系列。
这通常是如何完成的？
最佳答案
您可以使用Counter这是一个用于计算可哈希对象的 dict 子类:
>>> d = {"file1": ["January", "April", "May", "December"], "file2": ["February", "March", "May", "December"],"file3": ["March", "October", "November", "December"]}
>>>
>>> from collections import Counter
>>> Counter(sum(d.values(),[]))
Counter({'December': 3, 'March': 2, 'May': 2, 'February': 1, 'October': 1, 'April': 1, 'January': 1, 'November': 1})
关于python - 如何统计Python字典中总值的频率？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/43728774/