ValueError Traceback (most recent call last) Cell In[1], line 9 1 import pandas as pd 3 data = { 4 “学历”: [“中专”, “大专”, “本科”, “硕士”, “博士”], 5 “工作年限要求”: [7, 6, 4, 2, 0], 6 “职称”: [“检验师中级职称”] 7 } ----> 9 df = pd.DataFrame(data) 11 df.to_csv(‘/mnt/data/检验师中级职称报考条件.csv’, index=False) 12 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