Dames
2020-01-31 18:28
创建一个嵌套列表：
nested_list = list(df['Unique'])
print(nested_list)
# Output:
[[189, 113, 213, 201, 125, 211],
[206, 268, 446, 149, 104, 166],
[163, 103, 113, 166, 800, 101]]
要创建所需的表，只需从此嵌套列表中创建一个新的DataFrame并将列TC添加为索引列
x = pd.DataFrame(nested_list) # fills df with each nested list as a new column
x['TC'] = df['TC'] # add TC column
x = x.set_index('TC') # set TC column as index to make it show as first column
print(x)
# Output:
0 1 2 3 4 5
TC
101 189 113 213 201 125 211
102 206 268 446 149 104 166
103 163 103 113 166 800 101 2
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Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress on structured state space models, with an efficient hardware-aware design and implementation in the spirit of FlashAttention.
(翻译：Mamba 是一种新的状态空间模型架构，在信息密集型数据（例如语言建模）上显示出良好的性能，而之前的二次模型在 Transformers 方面存在不足。它基于结构化状态空间模型的进展，并本着FlashAttention的精神进行高效的硬件感知设计和实现。)
谢谢！但是，如果我尝试在nested_list上运行Apriori，则会遇到一个问题。y = pd.DataFrame（apriori（nested_list））我收到TypeError：'<'在'float'和'str'的实例之间不支持
请为此打开一个新问题，我不熟悉apriori