（1）这个问题的解决方法有很多，其中最简单的一个方法为使用get()方法来从字典中获取键对应的值。因为...
Here's the test script, saved on my machine astest.py: value=35.0something=str(value).replace(' ',',').split(',') Steps to Reproduce To reproduce: Save the above script in your current directory under the nametest.py Create a new Python 3.10 venv and activate it Do apip install fl...
[2024-03-21 16:59:54] [DEBUG] READ FIELD COLNO: 2 NAME: User TYPE: char(32) CT: char [2024-03-21 16:59:54] [DEBUG] COL 2 User REQUIRE NOT NULL. READ DATA [2024-03-21 16:59:54] [DEBUG] VAR FILED VAR SIZE: 0 [2024-03-21 16:59:54] [DEBUG] 183 ---> 183 data: b...
【KeyError: 'mobile_phone'[27/Apr/2023 21:42:21] "POST /register/ HTTP/1.1" 500 86526】 的bug,原因是我们的cleaned_data中的数据是按照fields中的顺序去校验成功之后添加的,所以当出现相同的数据时候cleaned_data前面几个字段是没有返回值的,并且也不会报错,从而在进行验证码校验的时候,通过【mobile_phon...
不是，你明明都把表打出来了 你自己看看这里哪有“序号”
难怪会报KeyError: 'novelLabel' 因为这里的item根本没有novelLabel值啊。 再回看书本里的代码,发现其实这个写错了: def process_item(self,item,spider): if isinstance(item,YunqiBookDetailItem): self._process_booklist_item(item) else: self._process_bookDetail_item(item) ...
Example #21Source File: datastructures.py From jbox with MIT License 5 votes def __getitem__(self, key): if key in self: return dict.__getitem__(self, key)[0].value raise exceptions.BadRequestKeyError(key) Example #22Source File: datastructures.py From jbox with MIT License 5 votes ...
import torch from torch import nn import torchviz h1 = nn.Linear(1, 1) inputs = torch.zeros(1, 1, requires_grad=True) inputs.data = torch.rand(1, 1) print('inputs', inputs) outputs = h1(inputs) print('outputs', outputs) torchviz.make_dot(outputs, params={'inputs': inputs...
BUG: Fix keyerror bug when indexing multiindex columns with NaT value… #4226 Sign in to view logs Summary Jobs deprecation_update Run details Usage Workflow file Triggered via push December 3, 2024 00:15 mroeschke pushed a6f721e main Status Success ...
8 9 10 11 12 13 14 15 16 17 18 19 20 21 cv = KFold(n_splits=10) fortrain_index, test_indexincv.split(X): f_train_X, f_valid_X = X.iloc[train_index], X.iloc[test_index] f_train_y, f_valid_y = y.iloc[train_index], y.iloc[test_index]import pandasaspd ...