我有一个名为' gender'的列表,其中我用计数器计算了所有值的出现次数:
gender = ['2',
'Female,',
'All Female Group,',
'All Male Group,',
'Female,',
'Couple,',
'Mixed Group,'....]
gender_count = Counter(gender)
gender_count
Counter({'2': 1,
'All Female Group,': 222,
'All Male Group,': 119,
'Couple,': 256,
'Female,': 1738,
'Male,': 2077,
'Mixed Group,': 212,
'NA': 16})
我想把这个dict放到pandas Dataframe中。我使用过pd.series(Convert Python dict into a dataframe):
s = pd.Series(gender_count, name='gender count')
s.index.name = 'gender'
s.reset_index()
这给了我想要的数据帧,但我不知道如何将这些步骤保存到pandas DataFrame中。 我也尝试过使用DataFrame.from_dict()
s2 = pd.DataFrame.from_dict(gender_count, orient='index')
但这会创建一个以性别类别为索引的数据框。
我最终想要使用性别类别和饼图计数。
答案 0 :(得分:3)
略过中间步骤
gender = ['2',
'Female',
'All Female Group',
'All Male Group',
'Female',
'Couple',
'Mixed Group']
pd.value_counts(gender)
Female 2
2 1
Couple 1
Mixed Group 1
All Female Group 1
All Male Group 1
dtype: int64
答案 1 :(得分:2)
In [21]: df = pd.Series(gender_count).rename_axis('gender').reset_index(name='count')
In [22]: df
Out[22]:
gender count
0 2 1
1 All Female Group, 222
2 All Male Group, 119
3 Couple, 256
4 Female, 1738
5 Male, 2077
6 Mixed Group, 212
7 NA 16
答案 2 :(得分:0)
只是
client