【每日一包0007】array-range

[github地址:https://github.com/ABCDdouyae...]

array-range
生成一个指定起始位置的固定长度的数组

用法:array-range(start, end)

返回:array

--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[146], line 76 73 return all_client_df 75 # 计算每日持仓余弦相似性 ---> 76 daily_positions_cos = calculate_positions_consine_similarity(multi_cpty_df[(multi_cpty_df["client_id"] == "ABRH400")], interval=90) 78 # plot_pos_sim(daily_positions_cos["date"], daily_positions_cos["pos_sim"]) 80 daily_positions_cos Cell In[146], line 68, in calculate_positions_consine_similarity(df, interval) 66 similarity_median = calculate_cosine_similarity(merged, interval) 67 print(similarity_median) ---> 68 similarity_results = pd.DataFrame({"client_id": client, "pos_sim": similarity_median}) 70 all_client_result.append(similarity_results) 72 all_client_df = pd.concat(all_client_result, axis=1) File c:\Users\matianht\.conda\envs\nomura\lib\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 c:\Users\matianht\.conda\envs\nomura\lib\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 c:\Users\matianht\.conda\envs\nomura\lib\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 c:\Users\matianht\.conda\envs\nomura\lib\site-packages\pandas\core\internals\construction.py:667, in _extract_index(data) 664 raise ValueError("Per-column arrays must each be 1-dimensional") 666 if not indexes and not raw_lengths: --> 667 raise ValueError("If using all scalar values, you must pass an index") 669 if have_series: 670 index = union_indexes(indexes) ValueError: If using all scalar values, you must pass an index 这是什么意思
07-30
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