将pandas.Series.value_counts返回的系列转换为字典 [英] convert series returned by pandas.Series.value_counts to a dictionary

问题描述

我正在尝试使用pandas.Series.value_counts来获取数据帧中值的频率，因此我遍历每一列并获取values_count，这给了我一个系列:

I am trying to use pandas.Series.value_counts to get the frequency of values in a dataframe, so I go through each column and get values_count , which gives me a series:

我正在努力将此结果系列转换为dict:

I am struggling to convert this resultant series to a dict:

 groupedData = newData.groupby('class')
for k, group in groupedData:
    dictClass[k] = {}
    for eachlabel in dataLabels:
        myobj = group[eachlabel].value_counts()
        for eachone in myobj:
            print type(myobj)
            print myobj

我需要的是字典:

{'high':3909，'average':3688，'less':'182，'veryless':62}

{'high': 3909 , 'average': 3688, 'less': '182 , 'veryless' : 62}

推荐答案

如果要将Series转换为dict，可以调用dict或.to_dict():

If you want to convert a Series to a dict, you could call dict or .to_dict():

>>> s
high        3909
average     3688
less         182
veryless      62
dtype: int64
>>> type(s)
<class 'pandas.core.series.Series'>
>>> dict(s)
{'high': 3909, 'average': 3688, 'veryless': 62, 'less': 182}
>>> s.to_dict()
{'high': 3909, 'average': 3688, 'veryless': 62, 'less': 182}

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