ValueError Traceback (most recent call last)
Cell In[1], line 50
15 助眠食物营养成分 = {
16 “龙眼”: “褪黑素”,
17 “莲子”: “褪黑素”,
(…)
46 “梨”: “褪黑素”
47 }
49 # 创建数据框
—> 50 助眠食谱 = pd.DataFrame({
51 “食物”: 助眠食物,
52 “营养成分”: 助眠食物营养成分.values()
53 })
55 # 输出助眠食谱
56 助眠食谱
File /usr/local/lib/python3.10/site-packages/pandas/core/frame.py:778, in DataFrame.init(self, data, index, columns, dtype, copy)
772 mgr = self._init_mgr(
773 data, axes={“index”: index, “columns”: columns}, dtype=dtype, copy=copy
774 )
776 elif isinstance(data, dict):
777 # GH#38939 de facto copy defaults to False only in non-dict cases
–> 778 mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
779 elif isinstance(data, ma.MaskedArray):
780 from numpy.ma import mrecords
File /usr/local/lib/python3.10/site-packages/pandas/core/internals/construction.py:503, in dict_to_mgr(data, index, columns, dtype, typ, copy)
499 else:
500 # dtype check to exclude e.g. range objects, scalars
501 arrays = [x.copy() if hasattr(x, “dtype”) else x for x in arrays]
–> 503 return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
File /usr/local/lib/python3.10/site-packages/pandas/core/internals/construction.py:114, in arrays_to_mgr(arrays, columns, index, dtype, verify_integrity, typ, consolidate)
111 if verify_integrity:
112 # figure out the index, if necessary
113 if index is None:
–> 114 index = _extract_index(arrays)
115 else:
116 index = ensure_index(index)
File /usr/local/lib/python3.10/site-packages/pandas/core/internals/construction.py:677, in _extract_index(data)
675 lengths = list(set(raw_lengths))
676 if len(lengths) > 1:
–> 677 raise ValueError(“All arrays must be of the same length”)
679 if have_dicts:
680 raise ValueError(
681 “Mixing dicts with non-Series may lead to ambiguous ordering.”
682 )
ValueError: All arrays must be of the same length
