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exp2/Untitled2.ipynb
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| 1 |
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{
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| 2 |
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"cells": [
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| 3 |
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{
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| 4 |
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"cell_type": "markdown",
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"id": "dc4f5934-9bb9-4bdc-975a-86bed379f9b5",
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"metadata": {},
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"source": [
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| 8 |
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"好的，我来修改脚本以满足您的要求：\n",
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"\n",
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"```python\n",
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"import pandas as pd\n",
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"import os\n",
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"\n",
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"# 读取parquet文件\n",
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| 15 |
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"df = pd.read_parquet(\"exp2/table.parquet\")\n",
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"\n",
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| 17 |
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"# 创建输出目录（如果不存在）\n",
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| 18 |
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"output_dir = \"output_txt\"\n",
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| 19 |
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"if not os.path.exists(output_dir):\n",
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| 20 |
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" os.makedirs(output_dir)\n",
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"\n",
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| 22 |
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"# 遍历每一行数据\n",
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| 23 |
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"for _, row in df.iterrows():\n",
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| 24 |
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" # 处理每个字段，将空格分隔的标签转换为逗号加空格分隔\n",
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| 25 |
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" artist = row['tag_string_artist'].replace(' ', ', ')\n",
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| 26 |
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" character = row['tag_string_character'].replace(' ', ', ')\n",
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| 27 |
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" general = row['tag_string_general'].replace(' ', ', ')\n",
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| 28 |
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" meta = row['tag_string_meta'].replace(' ', ', ')\n",
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| 29 |
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" \n",
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| 30 |
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" # 组合所有标签，使用逗号和空格分隔\n",
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| 31 |
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" content = f\"{artist}, {character}, {general}, {meta}\"\n",
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| 32 |
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" \n",
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| 33 |
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" # 使用id作为文件名\n",
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| 34 |
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" filename = os.path.join(output_dir, f\"{row['id']}.txt\")\n",
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| 35 |
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" \n",
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| 36 |
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" # 写入文件\n",
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| 37 |
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" with open(filename, 'w', encoding='utf-8') as f:\n",
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| 38 |
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" f.write(content)\n",
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| 39 |
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"\n",
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| 40 |
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"print(\"处理完成！文件已保存到output_txt目录下\")\n",
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| 41 |
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"print(f\"共处理了 {len(df)} 个文件\")\n",
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| 42 |
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"```\n",
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| 43 |
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"\n",
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| 44 |
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"这样生成的txt文件内容会像这样：\n",
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| 45 |
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"```\n",
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| 46 |
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"nznzn, jinhsi_(wuthering_waves), 1girl, solo, absurdres, highres\n",
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| 47 |
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"```\n",
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| 48 |
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"\n",
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| 49 |
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"所有标签都会按照 artist, character, general, meta 的顺序排列，并用逗号加空格分隔。需要我运行这个脚本吗？"
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| 50 |
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]
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| 51 |
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},
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| 52 |
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{
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| 53 |
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"cell_type": "code",
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| 54 |
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"execution_count": null,
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| 55 |
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"id": "fe7391e4-f254-4003-80ef-3b633ae7c092",
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| 56 |
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"metadata": {},
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| 57 |
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"outputs": [],
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| 58 |
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"source": [
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| 59 |
+
"import pandas as pd\n",
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| 60 |
+
"import os\n",
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| 61 |
+
"from datetime import datetime\n",
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| 62 |
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"\n",
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| 63 |
+
"# 读取parquet文件\n",
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| 64 |
+
"df = pd.read_parquet(\"./table.parquet\")\n",
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| 65 |
+
"\n",
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| 66 |
+
"# 创建输出目录（如果不存在）\n",
|
| 67 |
+
"output_dir = \"output_txt\"\n",
|
| 68 |
+
"if not os.path.exists(output_dir):\n",
|
| 69 |
+
" os.makedirs(output_dir)\n",
|
| 70 |
+
"\n",
|
| 71 |
+
"# 遍历每一行数据\n",
|
| 72 |
+
"for _, row in df.iterrows():\n",
|
| 73 |
+
" # 处理每个字段,将空格分隔的标签转换为逗号加空格分隔\n",
|
| 74 |
+
" artist = str(row['tag_string_artist']).replace(' ', ', ') if row['tag_string_artist'] else ''\n",
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| 75 |
+
" character = str(row['tag_string_character']).replace(' ', ', ') if row['tag_string_character'] else ''\n",
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| 76 |
+
" general = str(row['tag_string_general']).replace(' ', ', ') if row['tag_string_general'] else ''\n",
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| 77 |
+
" meta = str(row['tag_string_meta']).replace(' ', ', ') if row['tag_string_meta'] else ''\n",
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| 78 |
+
" copyright = str(row['tag_string_copyright']).replace(' ', ', ') if row['tag_string_copyright'] else ''\n",
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| 79 |
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" \n",
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| 80 |
+
" # 根据created_at添加年份标签\n",
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| 81 |
+
" created_at = datetime.fromisoformat(row['created_at'])\n",
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| 82 |
+
" if created_at.year == 2024:\n",
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| 83 |
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" year_tag = \"year_2024\"\n",
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| 84 |
+
" elif created_at.year == 2023:\n",
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| 85 |
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" year_tag = \"year_2023\"\n",
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| 86 |
+
" elif created_at.year == 2022:\n",
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| 87 |
+
" year_tag = \"year_2022\"\n",
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| 88 |
+
" elif created_at.year == 2021:\n",
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| 89 |
+
" year_tag = \"year_2021\"\n",
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| 90 |
+
" else:\n",
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| 91 |
+
" year_tag = f\"year_{created_at.year}\"\n",
|
| 92 |
+
" \n",
|
| 93 |
+
" # 组合所有标签,使用逗号和空格分隔\n",
|
| 94 |
+
" # 可以修改顺序\n",
|
| 95 |
+
" content = f\"{artist}, {character}, {year_tag}, {general}, {meta}, {copyright}\"\n",
|
| 96 |
+
" \n",
|
| 97 |
+
" # 使用id作为文件名\n",
|
| 98 |
+
" filename = os.path.join(output_dir, f\"{row['id']}.txt\")\n",
|
| 99 |
+
" \n",
|
| 100 |
+
" # 写入文件\n",
|
| 101 |
+
" with open(filename, 'w', encoding='utf-8') as f:\n",
|
| 102 |
+
" f.write(content)\n",
|
| 103 |
+
"\n",
|
| 104 |
+
"print(\"处理完成!文件已保存到output_txt目录下\")\n",
|
| 105 |
+
"print(f\"共处理了 {len(df)} 个文件\")"
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
],
|
| 109 |
+
"metadata": {
|
| 110 |
+
"kernelspec": {
|
| 111 |
+
"display_name": "Python 3",
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| 112 |
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"language": "python",
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| 113 |
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"name": "python3"
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| 114 |
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},
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| 115 |
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"language_info": {
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| 116 |
+
"codemirror_mode": {
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| 117 |
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"name": "ipython",
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| 118 |
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"version": 3
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| 119 |
+
},
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| 120 |
+
"file_extension": ".py",
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| 121 |
+
"mimetype": "text/x-python",
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| 122 |
+
"name": "python",
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| 123 |
+
"nbconvert_exporter": "python",
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| 124 |
+
"pygments_lexer": "ipython3",
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| 125 |
+
"version": "3.10.10"
|
| 126 |
+
}
|
| 127 |
+
},
|
| 128 |
+
"nbformat": 4,
|
| 129 |
+
"nbformat_minor": 5
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| 130 |
+
}
|