我想从一个dict创建一个DataFrame，其中dict的keys将成为列名，dict的values将成为行。 我试图使用pandas.DataFrame.from_dict()来转换我的字典。这是我的代码：
import pandas as pd
import datetime
current_time1 = datetime.datetime.now()
record_1 = {'Date':current_time1, 'Player':'John','Difficulty':'hard', 'Score':0}
df = pd.DataFrame.from_dict(record_1, orient='columns')
display(df)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-4-597ef27e82c8> in <module>()
1 record_1 = {'Date':current_time1, 'Player':'John','Difficulty':'hard', 'Score':0}
----> 2 df = pd.DataFrame.from_dict(record_1, orient='columns')
3 display(df)
C:\Users\Jason\AppData\Local\Enthought\Canopy32\User\lib\site-packages\pandas\core\frame.pyc in from_dict(cls, data, orient, dtype)
635 raise ValueError('only recognize index or columns for orient')
636
--> 637 return cls(data, index=index, columns=columns, dtype=dtype)
638
639 def to_dict(self, outtype='dict'):
C:\Users\Jason\AppData\Local\Enthought\Canopy32\User\lib\site-packages\pandas\core\frame.pyc in __init__(self, data, index, columns, dtype, copy)
201 dtype=dtype, copy=copy)
202 elif isinstance(data, dict):
--> 203 mgr = self._init_dict(data, index, columns, dtype=dtype)
204 elif isinstance(data, ma.MaskedArray):
205 import numpy.ma.mrecords as mrecords
C:\Users\Jason\AppData\Local\Enthought\Canopy32\User\lib\site-packages\pandas\core\frame.pyc in _init_dict(self, data, index, columns, dtype)
325
326 return _arrays_to_mgr(arrays, data_names, index, columns,
--> 327 dtype=dtype)
328
329 def _init_ndarray(self, values, index, columns, dtype=None,
C:\Users\Jason\AppData\Local\Enthought\Canopy32\User\lib\site-packages\pandas\core\frame.pyc in _arrays_to_mgr(arrays, arr_names, index, columns, dtype)
4618 # figure out the index, if necessary
4619 if index is None:
-> 4620 index = extract_index(arrays)
4621 else:
4622 index = _ensure_index(index)
C:\Users\Jason\AppData\Local\Enthought\Canopy32\User\lib\site-packages\pandas\core\frame.pyc in extract_index(data)
4657
4658 if not indexes and not raw_lengths:
-> 4659 raise ValueError('If using all scalar values, you must must pass'
4660 ' an index')
4661
ValueError: If using all scalar values, you must must pass an index
我不理解这个错误，在文档中，pandas.DataFrame.from_dict没有索引参数。此外，我认为如果没有提供索引，pandas会使用1..x？我该如何传递索引？
额外信息：最终我想使用日期列作为索引。