2024-09-30 00:22:45 发布
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使用Pandas转换为嵌套的JSON文件
这是一行的csv示例
name type aitm alitm aaitm adsc1 specs glass 70072187 ESA65Z45 ESA 65Z45 CUT TIP FG 1808-40
我试图为每一行实现嵌套JSON的下面的结构
import pandas as pd import json df = pd.DataFrame([['specs','glass','70072187','ESA65Z45','ESA 65Z45','CUT TIP FG 1808-40'], ['specs','glass','666','ESA6665','ESB 666','CUT TIP FG 66-40']], columns = ['name', 'type','aitm','alitm','aaitm','adsc1' ]) data = {'entities':[]} for key,grp in df.groupby('name'): for idx, row in grp.iterrows(): temp_dict_alpha = {'name':key, 'type':row['type'], 'data':{'attributes':{}}} attr_row = row[~row.index.isin(['name','type'])] for idx2, row2 in attr_row.iteritems(): dict_temp = {} dict_temp[idx2] = {'values':[]} dict_temp[idx2]['values'].append({'value':row2,'source':'internal','locale':'en_US'}) temp_dict_alpha['data']['attributes'].update(dict_temp) data['entities'].append(temp_dict_alpha) print(json.dumps(data, indent= 4))
输出:
输出:
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