我正在尝试从具有以下结构的数组中创建数据框:

df = [[{'date_time': Timestamp('2015-05-22 05:37:59'),
        'name': 'Tom',
        'value': '129'},
       {'date_time': Timestamp('2015-05-22 05:37:59'),
        'name': 'Kate',
        'value': '0'},
       {'date_time': Timestamp('2015-05-22 05:37:59'),
        'name': 'GroupeId',
        'value': '0'}, {...}, {...}, {...}],[another list of dictionaries like the first one],[and another one]]

使用此代码:
def create_from_arr():
    baby_array=pd.MultiIndex.from_tuples(df, names=['sessions', 'behaves'])
    return baby_array

我有以下错误,我无法理解:
TypeError: unhashable type: 'dict'

我想要的输出是这样的:
list
                   date_time      name value
 1    0 2015-05-22 05:37:59       Tom   129
      1 2015-05-22 05:37:59      Kate     0
      2 2015-05-22 05:37:59  GroupeId     0
 2    3 2015-05-26 05:56:59     Hence   129
      4 2015-05-26 05:56:59      Kate     0
      5 2015-05-26 05:56:59     Julie     0
 3    ......................    ......  ......

最佳答案

我仍然不确定你到底想用 MultiIndex 做什么,但这里有一种方法可以在你的多级数组中“展平”你的字典并将你的数据正确加载到数据帧中:

将“list”和“index”更新为 MultiIndex

In [100]: data = [[{'date_time': Timestamp('2015-05-22 05:37:59'),
   .....:         'name': 'Tom',
   .....:         'value': '129'},
   .....:        {'date_time': Timestamp('2015-05-22 05:37:59'),
   .....:         'name': 'Kate',
   .....:         'value': '0'},
   .....:        {'date_time': Timestamp('2015-05-22 05:37:59'),
   .....:         'name': 'GroupeId',
   .....:         'value': '0'}], [{'date_time': Timestamp('2015-05-22 05:37:59'),
   .....:         'name': 'Tom',
   .....:         'value': '129'},
   .....:        {'date_time': Timestamp('2015-05-22 05:37:59'),
   .....:         'name': 'Kate',
   .....:         'value': '0'},
   .....:        {'date_time': Timestamp('2015-05-22 05:37:59'),
   .....:         'name': 'GroupeId',
   .....:         'value': '0'}]]

In [101]: df = pd.DataFrame(columns=['list', 'date_time', 'name', 'value'])

In [102]: for idx, each in enumerate(data, 1):
   .....:     temp = pd.DataFrame(each)
   .....:     temp['list'] = idx  # manually assign "list" index
   .....:     df = df.append(temp, ignore_index=True)
   .....:
In [103]: df = df.reset_index()

In [104]: df.set_index(['list', 'index'])
Out[104]:
                     date_time      name value
list index
1    0     2015-05-22 05:37:59       Tom   129
     1     2015-05-22 05:37:59      Kate     0
     2     2015-05-22 05:37:59  GroupeId     0
2    3     2015-05-22 05:37:59       Tom   129
     4     2015-05-22 05:37:59      Kate     0
     5     2015-05-22 05:37:59  GroupeId     0

关于python - 来自数组的 Pandas Multiindex => TypeError : unhashable type: 'dict' ,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/33169701/

10-14 18:31