ValueError: Shape of passed values is, indices imply
ValueError: Shape of passed values is, indices imply
重新post再次发送，因为我没有收到第一个 post
的回复
我有以下数据如下：
desc = pd.DataFrame(description, columns =['new_desc'])
new_desc
257623 the public safety report is compiled from crim...
161135 police say a sea isle city man ordered two pou...
156561 two people are behind bars this morning, after...
41690 pumpkin soup is a beloved breakfast soup in ja...
70092 right now, 15 states are grappling with how be...
... ...
207258 operation legend results in 59 more arrests, i...
222170 see story, 3a
204064 st. louis — missouri secretary of state jason ...
151443 tony lavell jones, 54, of sunset view terrace,...
97367 walgreens, on the other hand, is still going t...
[9863 rows x 1 columns]
我试图在文档中找到主导主题，当我 运行 以下代码时
best_lda_model = lda_desc
data_vectorized = tfidf
lda_output = best_lda_model.transform(data_vectorized)
topicnames = ["Topic " + str(i) for i in range(best_lda_model.n_components)]
docnames = ["Doc " + str(i) for i in range(len(dataset))]
df_document_topic = pd.DataFrame(np.round(lda_output, 2), columns = topicnames, index = docnames)
dominant_topic = np.argmax(df_document_topic.values, axis = 1)
df_document_topic['dominant_topic'] = dominant_topic
我已经尝试调整代码，但是，无论我更改什么，我都会收到以下错误跟踪簿错误
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
c:\python36\lib\site-packages\pandas\core\internals\managers.py in create_block_manager_from_blocks(blocks, axes)
1673
-> 1674 mgr = BlockManager(blocks, axes)
1675 mgr._consolidate_inplace()
c:\python36\lib\site-packages\pandas\core\internals\managers.py in __init__(self, blocks, axes, do_integrity_check)
148 if do_integrity_check:
--> 149 self._verify_integrity()
150
c:\python36\lib\site-packages\pandas\core\internals\managers.py in _verify_integrity(self)
328 if block.shape[1:] != mgr_shape[1:]:
--> 329 raise construction_error(tot_items, block.shape[1:], self.axes)
330 if len(self.items) != tot_items:
ValueError: Shape of passed values is (9863, 8), indices imply (0, 8)
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-41-bd470d69b181> in <module>
4 topicnames = ["Topic " + str(i) for i in range(best_lda_model.n_components)]
5 docnames = ["Doc " + str(i) for i in range(len(dataset))]
----> 6 df_document_topic = pd.DataFrame(np.round(lda_output, 2), columns = topicnames, index = docnames)
7 dominant_topic = np.argmax(df_document_topic.values, axis = 1)
8 df_document_topic['dominant_topic'] = dominant_topic
c:\python36\lib\site-packages\pandas\core\frame.py in __init__(self, data, index, columns, dtype, copy)
495 mgr = init_dict({data.name: data}, index, columns, dtype=dtype)
496 else:
--> 497 mgr = init_ndarray(data, index, columns, dtype=dtype, copy=copy)
498
499 # For data is list-like, or Iterable (will consume into list)
c:\python36\lib\site-packages\pandas\core\internals\construction.py in init_ndarray(values, index, columns, dtype, copy)
232 block_values = [values]
233
--> 234 return create_block_manager_from_blocks(block_values, [columns, index])
235
236
c:\python36\lib\site-packages\pandas\core\internals\managers.py in create_block_manager_from_blocks(blocks, axes)
1679 blocks = [getattr(b, "values", b) for b in blocks]
1680 tot_items = sum(b.shape[0] for b in blocks)
-> 1681 raise construction_error(tot_items, blocks[0].shape[1:], axes, e)
1682
1683
ValueError: Shape of passed values is (9863, 8), indices imply (0, 8)
期望的结果是根据特定主题生成文档列表。下面是示例代码和所需的输出。
df_document_topic(df_document_topic['dominant_topic'] == 2).head(10)
当我运行这段代码时，我得到以下回溯
TypeError Traceback (most recent call last)
<ipython-input-55-8cf9694464e6> in <module>
----> 1 df_document_topic(df_document_topic['dominant_topic'] == 2).head(10)
TypeError: 'DataFrame' object is not callable
下面是想要的输出
如有任何帮助，我们将不胜感激。
您作为 docnames 传递的索引是空的，它是从 dataset 获得的，如下所示：
docnames = ["Doc " + str(i) for i in range(len(dataset))]
所以这意味着 dataset 也是空的。作为解决方法，您可以根据 lda_output 的大小创建 Doc 索引，如下所示：
docnames = ["Doc " + str(i) for i in range(len(lda_output))]
让我知道这是否有效。
重新post再次发送，因为我没有收到第一个 post
的回复我有以下数据如下：
desc = pd.DataFrame(description, columns =['new_desc'])
new_desc
257623 the public safety report is compiled from crim...
161135 police say a sea isle city man ordered two pou...
156561 two people are behind bars this morning, after...
41690 pumpkin soup is a beloved breakfast soup in ja...
70092 right now, 15 states are grappling with how be...
... ...
207258 operation legend results in 59 more arrests, i...
222170 see story, 3a
204064 st. louis — missouri secretary of state jason ...
151443 tony lavell jones, 54, of sunset view terrace,...
97367 walgreens, on the other hand, is still going t...
[9863 rows x 1 columns]
我试图在文档中找到主导主题，当我 运行 以下代码时
best_lda_model = lda_desc
data_vectorized = tfidf
lda_output = best_lda_model.transform(data_vectorized)
topicnames = ["Topic " + str(i) for i in range(best_lda_model.n_components)]
docnames = ["Doc " + str(i) for i in range(len(dataset))]
df_document_topic = pd.DataFrame(np.round(lda_output, 2), columns = topicnames, index = docnames)
dominant_topic = np.argmax(df_document_topic.values, axis = 1)
df_document_topic['dominant_topic'] = dominant_topic
我已经尝试调整代码，但是，无论我更改什么，我都会收到以下错误跟踪簿错误
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
c:\python36\lib\site-packages\pandas\core\internals\managers.py in create_block_manager_from_blocks(blocks, axes)
1673
-> 1674 mgr = BlockManager(blocks, axes)
1675 mgr._consolidate_inplace()
c:\python36\lib\site-packages\pandas\core\internals\managers.py in __init__(self, blocks, axes, do_integrity_check)
148 if do_integrity_check:
--> 149 self._verify_integrity()
150
c:\python36\lib\site-packages\pandas\core\internals\managers.py in _verify_integrity(self)
328 if block.shape[1:] != mgr_shape[1:]:
--> 329 raise construction_error(tot_items, block.shape[1:], self.axes)
330 if len(self.items) != tot_items:
ValueError: Shape of passed values is (9863, 8), indices imply (0, 8)
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-41-bd470d69b181> in <module>
4 topicnames = ["Topic " + str(i) for i in range(best_lda_model.n_components)]
5 docnames = ["Doc " + str(i) for i in range(len(dataset))]
----> 6 df_document_topic = pd.DataFrame(np.round(lda_output, 2), columns = topicnames, index = docnames)
7 dominant_topic = np.argmax(df_document_topic.values, axis = 1)
8 df_document_topic['dominant_topic'] = dominant_topic
c:\python36\lib\site-packages\pandas\core\frame.py in __init__(self, data, index, columns, dtype, copy)
495 mgr = init_dict({data.name: data}, index, columns, dtype=dtype)
496 else:
--> 497 mgr = init_ndarray(data, index, columns, dtype=dtype, copy=copy)
498
499 # For data is list-like, or Iterable (will consume into list)
c:\python36\lib\site-packages\pandas\core\internals\construction.py in init_ndarray(values, index, columns, dtype, copy)
232 block_values = [values]
233
--> 234 return create_block_manager_from_blocks(block_values, [columns, index])
235
236
c:\python36\lib\site-packages\pandas\core\internals\managers.py in create_block_manager_from_blocks(blocks, axes)
1679 blocks = [getattr(b, "values", b) for b in blocks]
1680 tot_items = sum(b.shape[0] for b in blocks)
-> 1681 raise construction_error(tot_items, blocks[0].shape[1:], axes, e)
1682
1683
ValueError: Shape of passed values is (9863, 8), indices imply (0, 8)
期望的结果是根据特定主题生成文档列表。下面是示例代码和所需的输出。
df_document_topic(df_document_topic['dominant_topic'] == 2).head(10)
当我运行这段代码时，我得到以下回溯
TypeError Traceback (most recent call last)
<ipython-input-55-8cf9694464e6> in <module>
----> 1 df_document_topic(df_document_topic['dominant_topic'] == 2).head(10)
TypeError: 'DataFrame' object is not callable
下面是想要的输出
如有任何帮助，我们将不胜感激。
您作为 docnames 传递的索引是空的，它是从 dataset 获得的，如下所示：
docnames = ["Doc " + str(i) for i in range(len(dataset))]
所以这意味着 dataset 也是空的。作为解决方法，您可以根据 lda_output 的大小创建 Doc 索引，如下所示：
docnames = ["Doc " + str(i) for i in range(len(lda_output))]
让我知道这是否有效。