1. 错误信息含义 错误信息 text() missing 1 required positional argument: 's' 表明在调用 text() 函数时,缺少了必需的位置参数 s。在 Python 中,如果一个函数定义了需要一定数量的位置参数,那么在调用该函数时必须提供相应的参数数量,否则会抛出此类错误。
我的annotate函数如下所示,运行时会出现报错。 错误的原因:annotate()的's'参数自Matplotlib 3.3以来已重命名为'text'。 解决办法:只需将s替换为text即可。 现在运行就不会报错了。
TypeError: say_text() missing 1 required positional argument: 'config' zachRadackmentioned this issueJul 7, 2023 collijkclosed this ascompletedJul 7, 2023 udaykumar1997mentioned this issueJul 9, 2023 Unable to use AutoGPT with voice#4926 ...
用途 translate() 规定平面移动。 语法 translate(tx) translate(tx, ty) 值 值描述 tx规定X轴...
Traceback (most recent call last): File "deep_text_recognition_benchmark/train.py", line 320, in <module> train(opt) File "deep_text_recognition_benchmark/train.py", line 58, in train model = Model(opt) TypeError: __init__() missing 1 required positional argument: 'num_class' ...
File "/Users/.../Library/Application Support/Sublime Text 3/Installed Packages/GitGutter.sublime-package/modules/commands.py", line 56, in __init__ TypeError: __init__() missing 1 required positional argument: 'status_bar' 0 Likes
scikit-learn文本处理时出现:fit_transform() missing 1 required positional argument: 'X' 其方法:vectorizer.fit_transform(data.status) 或者是直接调用其方法:TfidfVectorizer().fit_transform(data.status) (2)关于fit、transfor和fit_transformfit_transform是fit和transform的结合。 (3)CountVectorizer和 ...
ModuleNotFoundError: Could not find module_name for command show interfaces xxx counters for nos iosxe from genie: cli() missing 1 required positional argument: 'interface' 0 Helpful Reply alalina Cisco Employee 04-08-2022 12:43 AM @petritberisha @choywy Were you able to implement...
Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. In this survey, we consider how the Data Augmentation training strategy can aid in its development. We begin with the major motifs of Data Augmentation summar
TypeError: cuda() missing 1 required positional argument: 'self' Do you know how to solve the error? I am facing the same issue. But for now I have commented the following section in train.py file so I could try the code. ''' ...