Pandas 我相信,";项目“tmp”和“dic2”;是dict,那么为什么要报告这个错误呢?
火车头 项目.总目() 然后我想添加一个“item\u category\u id”来训练_raw,你的意思是从items的数据,所以我想创建一个item\u id和item\u category\u id的dictPandas 我相信,";项目“tmp”和“dic2”;是dict,那么为什么要报告这个错误呢?,pandas,Pandas,火车头 项目.总目() 然后我想添加一个“item\u category\u id”来训练_raw,你的意思是从items的数据,所以我想创建一个item\u id和item\u category\u id的dict item_name item_id item_category_id 0 ! ВО ВЛАСТИ НАВАЖДЕНИЯ (ПЛАСТ.) D 0 40 1 !ABBYY FineReader 12 Professional Edition Full...
item_name item_id item_category_id
0 ! ВО ВЛАСТИ НАВАЖДЕНИЯ (ПЛАСТ.) D 0 40
1 !ABBYY FineReader 12 Professional Edition Full... 1 76
2 ***В ЛУЧАХ СЛАВЫ (UNV) D 2 40
3 ***ГОЛУБАЯ ВОЛНА (Univ) D 3 40
4 ***КОРОБКА (СТЕКЛО) D 4 40
错
item_category_id = items['item_category_id']
item_id = train_raw.item_id
items_tmp = items.drop(['item_name'],axis=1)
items_tmp_dic = items_tmp.to_dict('split')
items_tmp_dic = items_tmp_dic.get('data')
items_tmp_dic2 = dict(items_tmp_dic)
ic_id = []
for i in np.nditer(item_id.values[:10]):
ic_id.append(items_tmp_dic2.get(i))
print(len(ic_id))
我明白了
for i in np.nditer(item_id.values[:10]):
print(i)
我已经确保“items\u tmp\u dic2”的类型是dict,那么为什么呢?我已经用int()解决了这个问题
请添加您得到的代码和错误,我建议您在此处阅读答案:
item_category_id = items['item_category_id']
item_id = train_raw.item_id
items_tmp = items.drop(['item_name'],axis=1)
items_tmp_dic = items_tmp.to_dict('split')
items_tmp_dic = items_tmp_dic.get('data')
items_tmp_dic2 = dict(items_tmp_dic)
ic_id = []
for i in np.nditer(item_id.values[:10]):
ic_id.append(items_tmp_dic2.get(i))
print(len(ic_id))
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-50-be637620ea6d> in <module>
6 ic_id = []
7 for i in np.nditer(item_id.values[:10]):
----> 8 ic_id.append(items_tmp_dic2.get(i))
9 print(len(ic_id))
TypeError: unhashable type: 'numpy.ndarray'
for i in np.nditer(item_id.values[:10]):
print(i)
22154
2552
2552
2554
2555
2564
2565
2572
2572
2573
for i in np.nditer(item_id.values[:10]):
ic_id.append(items_tmp_dic2.get(int(i)))