ValueError Traceback (most recent call last)
Cell In[1], line 18
1 import pandas as pd
3 data = {
4 “时间”: [“早餐”, “午餐”, “晚餐”],
5 “食物”: [
(…)
15 ]
16 }
—> 18 df = pd.DataFrame(data)
20 df.to_csv(‘/mnt/data/2025年冬至祛湿食谱一日三餐表.csv’, index=False, encoding=‘utf-8-sig’)
21 df

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