nics = find_NICs(chopped_up_query, subject, identity_threshold, blast_db =False)# print scaff_name, "vs", subject_namesimilarities[scaff_name][subject_name] = len(nics.keys())/nb_chunks os.remove(chopped_up_query)print"clean up"forsubject_name, subjectintqdm(assemblies.iteritems()): bl...
在MS Visual Studio Code中,当我对熊猫数据帧执行“向量”progress_apply操作时,我试图显示一个进度条。 在启用了Python extension的VS代码中,我在一个单元格中尝试import pandas as pd df = pd.DataFrame({'a' 浏览6提问于2020-01-29得票数 6 回答已采纳 2回答 有没有一种方法可以在不杀死内核的情况下判...
我发现自己经常用tqdm为进度条修改可迭代性,并且想知道是否有这样的快捷方式。有时,我的可迭代性是非常长的复杂对象,因此找出应该放在哪里的括号是很乏味的。data = list("abc") print(element)# bfor element intqdm(data):# 100%|██████████| 3/3 [00:00<00:00, 5300.30i ...
And overall the fact that pypy can make code more efficient doesn't really change a lot because often one needs to use cpython - it supports all the libraries and is already installed basically everywhere (in linux world). However, I totally understand that you aren't going to put effort ...
file = file def write(self, x): # Avoid print() second call (useless \n) if len(x.rstrip()) > 0: tqdm.tqdm.write(x, file=self.file, end='') def flush(self): return getattr(self.file, "flush", lambda: None)() @contextlib.contextmanager def std_out_err_redirect_tqdm(log)...
print('Generating image augmentations:')forimg_idx, (array, label, label_name)intqdm(enumerate(gen_arrays_from_dir(array_path))): split_label_name ='-'.join(label_name.split('-')[2:-1])foraug_idx, (array_aug, label_aug)inenumerate(gen_augment_arrays(array, label, project['augmenta...
在我住院很久之后，我不得不再考虑这个问题。不要问为什么，但这次我成功地用了一个QProgressBar :)...
iterator = trangeifverboseelsexrangeifverbose:print"sampling"return[sample()for_initerator(num_motifs)] 开发者ID:poneill,项目名称:formosa,代码行数:31,代码来源:maxent_sampling.py 示例3: experiment3 ▲点赞 3▼ defexperiment3(trials=10):mu =-10Ne =5L =10sigma =1codes = [sample_code(L, si...