TypeError：write（）中不支持的types<type'list'>

我试图通过以下几dicts大量的dicts转储到.xlsx文件中： 

 H=0.5 #Used to name the xlsx file fail_thre=0.2 #Used to name the xlsx file dict_list=[dict1,dict2,dict3] #The list of dictionaries to be dumped myindex=['event 1','event 2','event 3'] #Used to name rows from itertools import izip_longest stats_matrix=[ tuple('dict{}'.format(i+1) for i in range(len(dict_list))) ] + list( izip_longest(*([ v for k,v in sorted(d.items())] for d in dict_list)) ) import pandas as pd column_names=['Dict1','Dict2','Dict3'] mydf=pd.DataFrame(stats_matrix,index=myindex,columns=column_names) #Creating a data frame for MS Excel visualization mydf.columns = ['Dict1','Dict2','Dict3'] writer = pd.ExcelWriter('Lattice_stats_H_'+str(Hurst)+'FAIL_'+str(fail_thre)+'_FLOODING.xlsx', engine='xlsxwriter') mydf.to_excel(writer, sheet_name='Lattice') writer.save()

但是，我得到这个错误（请注意，在column_names和mydf.columns等名称是我的字典，这是太长时间无法张贴的真实姓名）： 

 TypeError Traceback (most recent call last) C:\Users\Francesco\Desktop\Scripts\Network_Scripts\Lattice_ForLoop_FLOODING.py in <module>() 399 mydf.columns = ['failed_nodes_1Stage','percent_failed_haz','act_nodes_1Stage','percent_active_haz','failed_nodes_2Stage','percent_failed_conn','failed_nodes_1plus2','percent_failed_1plus2','act_nodes_2Stage','percent_active_conn','total_failed_nodes','percent_total_failed_nodes','total_active_nodes','percent_total_active_nodes','giant_component','center_giant_comp','network_diam','connectedness','average_degree', 'graph_len'] 400 writer = pd.ExcelWriter('Lattice_stats_H_'+str(Hurst)+'FAIL_'+str(fail_thre)+'_FLOODING.xlsx', engine='xlsxwriter') --> 401 mydf.to_excel(writer, sheet_name='Lattice') 402 writer.save() 403 C:\Users\Francesco\AppData\Local\Enthought\Canopy32\User\lib\site-packages\pandas\core\frame.pyc in to_excel(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, encoding, inf_rep) 1272 formatted_cells = formatter.get_formatted_cells() 1273 excel_writer.write_cells(formatted_cells, sheet_name, -> 1274 startrow=startrow, startcol=startcol) 1275 if need_save: 1276 excel_writer.save() C:\Users\Francesco\AppData\Local\Enthought\Canopy32\User\lib\site-packages\pandas\io\excel.pyc in write_cells(self, cells, sheet_name, startrow, startcol) 1337 wks.write(startrow + cell.row, 1338 startcol + cell.col, -> 1339 cell.val, style) 1340 1341 def _convert_to_style(self, style_dict, num_format_str=None): C:\Users\Francesco\AppData\Local\Enthought\Canopy32\User\lib\site-packages\xlsxwriter\worksheet.pyc in cell_wrapper(self, *args, **kwargs) 62 args = new_args 63 ---> 64 return method(self, *args, **kwargs) 65 66 return cell_wrapper C:\Users\Francesco\AppData\Local\Enthought\Canopy32\User\lib\site-packages\xlsxwriter\worksheet.pyc in write(self, row, col, *args) 429 pass 430 except TypeError: --> 431 raise TypeError("Unsupported type %s in write()" % type(token)) 432 433 # Finally try string. TypeError: Unsupported type <type 'list'> in write()

我究竟做错了什么？

您的mydf数据mydf数据mydf单元格中具有typeslist元素。 这可能是由于你如何build立stats_matrix 。 请参阅pandas文档以获取调用DataFrame的适当方法。 要find你的问题，你可以调用mydf.applymap(type)并查看列表在mydf 。

如果您想将这些列表项转换为不带大括号/括号的string，可以使用此函数将罪魁祸首列转换为可以工作的列： 

 def list_to_number_string(value): if isinstance(value, (list, tuple)): return str(value)[1:-1] else: return value mydf[badcol] = mydf[badcol].apply(list_to_number_string)
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