笔记本验证失败：不允许使用其他属性("id"是意外的)：

Question

打开笔记本时出现以下验证错误：

{"元数据"：{"可信"：真的}，"id"："比较进口"；，"cell_type"："代码"；，"源"："将numpy导入为np\nimport pandas导入为pd\nimport matplotlib.pyplot导入为plt\nimport seaborn导入为sns\nimport nltk\nimport re\nimport gensim\nfrom gensim.utils import simple_prreprocess\nfrom gen西姆.models.word2vec import word2vec\nfrom nltk.stem.porter import PorterStemmer\nfrom nltk.corpus import stopwword\nfrom sklearn.decomposition import PCA，从sklearn.manifold导入TSNE\n从sklearn.model_selection导入train_testrongplit\n从sklearn.linear_model导入LogisticRegression \n从wordcloud导入wordcloud，STOPWORDS，ImageColorGenerator \n"，"execution_count"：10，"输出"：[]}

Answer 1

id对于nbformat低于4.5版本的笔记本电脑来说根本不为人所知。

您可以在文本编辑器中打开笔记本文件并提高版本。

就我而言，

"nbformat": 4,
"nbformat_minor": 4

成为

"nbformat": 4,
"nbformat_minor": 5

有关更多详细信息https://www.pythonfixing.com/2021/12/fixed-notebook-validation-failed-jupyter.html

Answer 2

我通过复制单元格的内容而不是整个单元格(它还复制元数据(来解决上述问题。

注意：这对于大型笔记本电脑来说不太合适(每个单元格都必须单独处理(。

Answer 3

尝试清除Jupyter笔记本中所有单元格的输出。在Jupyter Notebook中，转到：cell>所有输出>清除

Answer 4

你的笔记本只是一堆导入文件，你可以很容易地重新创建它，这次我为你做了：

{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Untitled5.ipynb",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"metadata": {
"id": "CRAF2wibMCRq"
},
"source": [
"import numpy as np n",
"import pandas as pdn",
"import matplotlib.pyplot as pltn",
"import seaborn as snsn",
"import nltkn",
"import ren",
"import gensim n",
"from gensim.utils import simple_preprocessn",
"from gensim.models.word2vec import Word2Vecn",
"from nltk.stem.porter import PorterStemmern",
"from nltk.corpus import stopwordsn",
"from sklearn.decomposition import PCA,TruncatedSVDn",
"from sklearn.manifold import TSNEn",
"from sklearn.model_selection import train_test_splitn",
"from sklearn.linear_model import LogisticRegression n",
"from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator"
],
"execution_count": null,
"outputs": []
}
]
}