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embedding_atlas/analysis_mole.ipynb
2025-09-22 20:06:39 +08:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"id": "499abdf6",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"# 设置 Hugging Face 镜像\n",
"os.environ[\"HF_ENDPOINT\"] = \"https://hf-mirror.com\"\n",
"\n",
"# 如果是完全离线模式\n",
"# os.environ[\"HF_HUB_OFFLINE\"] = \"1\"\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "08edf2a5",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "183e4df62da84c9389f36d6e011f6be0",
"version_major": 2,
"version_minor": 1
},
"text/plain": [
"EmbeddingAtlasWidget()"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from embedding_atlas.widget import EmbeddingAtlasWidget \n",
"import pandas as pd \n",
" \n",
"df = pd.read_csv('data/drugbank_pre_filtered_mordred_qed_id_selfies.csv') \n",
" \n",
"# 计算投影 \n",
"from embedding_atlas.projection import compute_text_projection \n",
"compute_text_projection(df, text=\"smiles\", \n",
" x=\"projection_x\", y=\"projection_y\", neighbors=\"neighbors\" \n",
") \n",
" \n",
"# 创建并显示 widget \n",
"widget = EmbeddingAtlasWidget(df, text=\"smiles\", \n",
" x=\"projection_x\", y=\"projection_y\", neighbors=\"neighbors\" \n",
") \n",
" \n",
"# 确保在单独的单元格中显示 \n",
"widget"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "be723d90",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "b67dc99218614138bf6657716f3739f8",
"version_major": 2,
"version_minor": 1
},
"text/plain": [
"EmbeddingAtlasWidget()"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd \n",
"from embedding_atlas.projection import compute_text_projection \n",
"from embedding_atlas.widget import EmbeddingAtlasWidget \n",
" \n",
"# 读取您的数据 \n",
"df = pd.read_csv('data/drugbank_pre_filtered_mordred_qed_id_selfies.csv') \n",
" \n",
"# 计算 SMILES 的文本嵌入和 2D 投影 \n",
"compute_text_projection( \n",
" df, \n",
" text=\"smiles\", # 使用 SMILES 列作为文本输入 \n",
" x=\"projection_x\", # X 坐标列名 \n",
" y=\"projection_y\", # Y 坐标列名 \n",
" neighbors=\"neighbors\" # 最近邻列名 \n",
") \n",
"\n",
"# 在 Jupyter 中显示可视化 \n",
"EmbeddingAtlasWidget(df, text=\"smiles\", \n",
" x=\"projection_x\", y=\"projection_y\", \n",
" neighbors=\"neighbors\")\n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7e3bb412",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}