{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fb6ca9a1",
   "metadata": {},
   "source": [
    "---\n",
    "title: SeekSpace 高级分析：空间基因表达密度分布图绘制\n",
    "author: SeekGene\n",
    "date: 2026-01-29\n",
    "tags:\n",
    "  - 空间转录组\n",
    "  - Notebooks\n",
    "  - 绘图\n",
    "---\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d4df42f-4d6f-470e-98bc-0941f74ce32e",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "# SeekSpace 高级分析：空间基因表达密度分布图绘制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "22a0dc7b-2892-491b-8a95-ecc94f8951a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.stats import gaussian_kde\n",
    "from mpl_toolkits.mplot3d import Axes3D"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd6c6451-82d5-401a-baf9-952ccc8945fe",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "## 数据加载\n",
    "先利用 R 从 rds 中保存空间坐标和注释结果"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "580c728a-adec-4a26-b02b-ce8f9e57f8ce",
   "metadata": {},
   "source": [
    "## 读取基因表达矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "7803f6aa-dd45-404c-bf32-9d7ce11a5b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "celltype_df_all1 = pd.read_csv(\"/PROJ2/FLOAT/weichendan/seekspace/SGS2401017/updata_allsamples/10Density/26samples_IGF2_marker.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "742ec030-7906-4e35-ba86-f96d4cfcb439",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cell_id</th>\n",
       "      <th>sample_id</th>\n",
       "      <th>IGF2</th>\n",
       "      <th>IGF1R</th>\n",
       "      <th>IGF2R</th>\n",
       "      <th>IGF2_marker</th>\n",
       "      <th>IGF1R_marker</th>\n",
       "      <th>IGF2R_marker</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AAGTACCATGTATGATGTAGTCATACG</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.337767</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>non_IGF2</td>\n",
       "      <td>IGF1R</td>\n",
       "      <td>non_IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AAGTTCGATGCGCATCCAAGGCACTAT</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>non_IGF2</td>\n",
       "      <td>non_IGF1R</td>\n",
       "      <td>non_IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACAAGCTATGGTCATCTGGACTGTGGA</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>non_IGF2</td>\n",
       "      <td>non_IGF1R</td>\n",
       "      <td>non_IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACCCTTGTACAAGTCATCTAAGTACGA</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>non_IGF2</td>\n",
       "      <td>non_IGF1R</td>\n",
       "      <td>non_IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACTACGATACCGAGTGCGCTCTGCTTC</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.340361</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>non_IGF2</td>\n",
       "      <td>IGF1R</td>\n",
       "      <td>non_IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394417</th>\n",
       "      <td>GTATTTCGCTGTAGAATGCTCTGCTTC</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.249231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>non_IGF2</td>\n",
       "      <td>IGF1R</td>\n",
       "      <td>non_IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394418</th>\n",
       "      <td>TGAGGTTGCTCGAGTTTGCTCTGCTTC</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>4.161886</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.445782</td>\n",
       "      <td>IGF2</td>\n",
       "      <td>non_IGF1R</td>\n",
       "      <td>IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394419</th>\n",
       "      <td>ATTCCCGATGCAACTGATAGTCATACG</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>3.798390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.192101</td>\n",
       "      <td>IGF2</td>\n",
       "      <td>non_IGF1R</td>\n",
       "      <td>IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394420</th>\n",
       "      <td>TTGCATTATGCGCTTCGTTCTGCGCTC</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>3.657890</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.119740</td>\n",
       "      <td>IGF2</td>\n",
       "      <td>non_IGF1R</td>\n",
       "      <td>IGF2R</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394421</th>\n",
       "      <td>CAAGCTAGCTGAGAATTCCTAATAACG</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>3.714930</td>\n",
       "      <td>0.108064</td>\n",
       "      <td>0.108064</td>\n",
       "      <td>IGF2</td>\n",
       "      <td>IGF1R</td>\n",
       "      <td>IGF2R</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>394422 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            cell_id sample_id      IGF2     IGF1R     IGF2R  \\\n",
       "0       AAGTACCATGTATGATGTAGTCATACG   WTH1051  0.000000  1.337767  0.000000   \n",
       "1       AAGTTCGATGCGCATCCAAGGCACTAT   WTH1051  0.000000  0.000000  0.000000   \n",
       "2       ACAAGCTATGGTCATCTGGACTGTGGA   WTH1051  0.000000  0.000000  0.000000   \n",
       "3       ACCCTTGTACAAGTCATCTAAGTACGA   WTH1051  0.000000  0.000000  0.000000   \n",
       "4       ACTACGATACCGAGTGCGCTCTGCTTC   WTH1051  0.000000  1.340361  0.000000   \n",
       "...                             ...       ...       ...       ...       ...   \n",
       "394417  GTATTTCGCTGTAGAATGCTCTGCTTC  Normal_5  0.000000  0.249231  0.000000   \n",
       "394418  TGAGGTTGCTCGAGTTTGCTCTGCTTC  Normal_5  4.161886  0.000000  0.445782   \n",
       "394419  ATTCCCGATGCAACTGATAGTCATACG  Normal_5  3.798390  0.000000  0.192101   \n",
       "394420  TTGCATTATGCGCTTCGTTCTGCGCTC  Normal_5  3.657890  0.000000  0.119740   \n",
       "394421  CAAGCTAGCTGAGAATTCCTAATAACG  Normal_5  3.714930  0.108064  0.108064   \n",
       "\n",
       "       IGF2_marker IGF1R_marker IGF2R_marker  \n",
       "0         non_IGF2        IGF1R    non_IGF2R  \n",
       "1         non_IGF2    non_IGF1R    non_IGF2R  \n",
       "2         non_IGF2    non_IGF1R    non_IGF2R  \n",
       "3         non_IGF2    non_IGF1R    non_IGF2R  \n",
       "4         non_IGF2        IGF1R    non_IGF2R  \n",
       "...            ...          ...          ...  \n",
       "394417    non_IGF2        IGF1R    non_IGF2R  \n",
       "394418        IGF2    non_IGF1R        IGF2R  \n",
       "394419        IGF2    non_IGF1R        IGF2R  \n",
       "394420        IGF2    non_IGF1R        IGF2R  \n",
       "394421        IGF2        IGF1R        IGF2R  \n",
       "\n",
       "[394422 rows x 8 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "celltype_df_all1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "0ee145cb-4a6f-4a96-a0c3-48ced3fc3b58",
   "metadata": {},
   "outputs": [],
   "source": [
    "celltype_df_all = celltype_df_all1.drop(columns=celltype_df_all1.columns[5:8])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "bf76047f-21b3-4551-ad67-865b3ec4f30d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cell_id</th>\n",
       "      <th>sample_id</th>\n",
       "      <th>IGF2</th>\n",
       "      <th>IGF1R</th>\n",
       "      <th>IGF2R</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AAGTACCATGTATGATGTAGTCATACG</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.337767</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AAGTTCGATGCGCATCCAAGGCACTAT</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACAAGCTATGGTCATCTGGACTGTGGA</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACCCTTGTACAAGTCATCTAAGTACGA</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACTACGATACCGAGTGCGCTCTGCTTC</td>\n",
       "      <td>WTH1051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.340361</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394417</th>\n",
       "      <td>GTATTTCGCTGTAGAATGCTCTGCTTC</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.249231</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394418</th>\n",
       "      <td>TGAGGTTGCTCGAGTTTGCTCTGCTTC</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>4.161886</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.445782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394419</th>\n",
       "      <td>ATTCCCGATGCAACTGATAGTCATACG</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>3.798390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.192101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394420</th>\n",
       "      <td>TTGCATTATGCGCTTCGTTCTGCGCTC</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>3.657890</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.119740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394421</th>\n",
       "      <td>CAAGCTAGCTGAGAATTCCTAATAACG</td>\n",
       "      <td>Normal_5</td>\n",
       "      <td>3.714930</td>\n",
       "      <td>0.108064</td>\n",
       "      <td>0.108064</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>394422 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            cell_id sample_id      IGF2     IGF1R     IGF2R\n",
       "0       AAGTACCATGTATGATGTAGTCATACG   WTH1051  0.000000  1.337767  0.000000\n",
       "1       AAGTTCGATGCGCATCCAAGGCACTAT   WTH1051  0.000000  0.000000  0.000000\n",
       "2       ACAAGCTATGGTCATCTGGACTGTGGA   WTH1051  0.000000  0.000000  0.000000\n",
       "3       ACCCTTGTACAAGTCATCTAAGTACGA   WTH1051  0.000000  0.000000  0.000000\n",
       "4       ACTACGATACCGAGTGCGCTCTGCTTC   WTH1051  0.000000  1.340361  0.000000\n",
       "...                             ...       ...       ...       ...       ...\n",
       "394417  GTATTTCGCTGTAGAATGCTCTGCTTC  Normal_5  0.000000  0.249231  0.000000\n",
       "394418  TGAGGTTGCTCGAGTTTGCTCTGCTTC  Normal_5  4.161886  0.000000  0.445782\n",
       "394419  ATTCCCGATGCAACTGATAGTCATACG  Normal_5  3.798390  0.000000  0.192101\n",
       "394420  TTGCATTATGCGCTTCGTTCTGCGCTC  Normal_5  3.657890  0.000000  0.119740\n",
       "394421  CAAGCTAGCTGAGAATTCCTAATAACG  Normal_5  3.714930  0.108064  0.108064\n",
       "\n",
       "[394422 rows x 5 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "celltype_df_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "378ea113-1e01-44c0-96eb-2345d3bd0bc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "celltype_df_all = celltype_df_all.set_index('cell_id')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "999d67e6-01ce-4a5e-8959-fe84f314d5a3",
   "metadata": {},
   "source": [
    "## 提取单样本的基因表达情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "303d4f67-221d-46e2-84d2-601403859550",
   "metadata": {},
   "outputs": [],
   "source": [
    "samples = celltype_df_all[\"sample_id\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ed84704e-9293-4901-92b3-b00a0ef205fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['WTH1051', 'LGG_3', 'LGG_4', 'LGG_6_1', 'LGG_6_2', 'LGG_7_2',\n",
       "       'LGG_7_1', 'LGG_8', 'WTH973', 'WTH1029', 'WTH1030', 'ndGBM_4_2',\n",
       "       'ndGBM_5_1', 'ndGBM_5_2', 'ndGBM_6_2', 'ndGBM_6_3', 'ndGBM_5_3',\n",
       "       'ndGBM_7', 'ndGBM_8', 'nd_GBM_8', 'WTH1052', 'WTH1068', 'WTH974',\n",
       "       'rGBM_2', 'rGBM_3', 'Normal_5'], dtype=object)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a51ca0f6-2e7c-4657-aa75-1ac0af62b713",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ndGBM_5_2'"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample = samples[13]\n",
    "sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1f657c7c-724d-4a00-8ae9-fb840ae92a33",
   "metadata": {},
   "outputs": [],
   "source": [
    "celltype_df = celltype_df_all[celltype_df_all['sample_id'].str.contains(sample)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "7ba7a7aa-7bd3-4efb-ad48-bdad2aa27e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample_id</th>\n",
       "      <th>IGF2</th>\n",
       "      <th>IGF1R</th>\n",
       "      <th>IGF2R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cell_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AGAGCCCCGATAGCTACCCTAATAACG</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CACCGTTATGGGAAACGTCCTATTAGG</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCCATTCTACGCCTTTGCTAAGTACGA</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAAGTCGCGACATCCGGCTAAGTACGA</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TACGTCCTACGAAGTGGGGACTGTGGA</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CGCGTGACGATGCAAGGAAGGCACTAT</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.020862</td>\n",
       "      <td>0.080957</td>\n",
       "      <td>0.225520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCCAGGTATGAGTCCGGGGACTGTGGA</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.020770</td>\n",
       "      <td>0.137069</td>\n",
       "      <td>0.273685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TGGGTTAATGACGTCGAAAGGCACTAT</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.020676</td>\n",
       "      <td>0.060789</td>\n",
       "      <td>0.303916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCCGGAACGAGTCAGCCCCTAATAACG</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.091217</td>\n",
       "      <td>0.323553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCAGGGCGCTTTCTATCAGCGACGGAT</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.156162</td>\n",
       "      <td>0.262727</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14055 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             sample_id      IGF2     IGF1R     IGF2R\n",
       "cell_id                                                             \n",
       "AGAGCCCCGATAGCTACCCTAATAACG  ndGBM_5_2  0.000000  0.000000  0.000000\n",
       "CACCGTTATGGGAAACGTCCTATTAGG  ndGBM_5_2  0.000000  0.000000  0.000000\n",
       "GCCATTCTACGCCTTTGCTAAGTACGA  ndGBM_5_2  0.000000  0.000000  0.000000\n",
       "TAAGTCGCGACATCCGGCTAAGTACGA  ndGBM_5_2  0.000000  0.000000  0.000000\n",
       "TACGTCCTACGAAGTGGGGACTGTGGA  ndGBM_5_2  0.000000  0.000000  0.000000\n",
       "...                                ...       ...       ...       ...\n",
       "CGCGTGACGATGCAAGGAAGGCACTAT  ndGBM_5_2  0.020862  0.080957  0.225520\n",
       "GCCAGGTATGAGTCCGGGGACTGTGGA  ndGBM_5_2  0.020770  0.137069  0.273685\n",
       "TGGGTTAATGACGTCGAAAGGCACTAT  ndGBM_5_2  0.020676  0.060789  0.303916\n",
       "CCCGGAACGAGTCAGCCCCTAATAACG  ndGBM_5_2  0.000000  0.091217  0.323553\n",
       "TCAGGGCGCTTTCTATCAGCGACGGAT  ndGBM_5_2  0.000000  0.156162  0.262727\n",
       "\n",
       "[14055 rows x 4 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "celltype_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4516e80-3345-417d-b3fa-ccd876b07634",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "## 读取空间坐标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "367d9589-b086-46be-9ce3-823d372a0181",
   "metadata": {},
   "outputs": [],
   "source": [
    "spatial_df = pd.read_csv(f\"/PROJ2/FLOAT/weichendan/seekspace/SGS2401017/allsamples/00data/down_oss/{sample}/{sample}_barcode_centers.csv\",index_col=0,sep=',')\n",
    "spatial_df.drop(columns=['RNA_snn_res.0.8'], inplace=True)\n",
    "spatial_df = spatial_df[spatial_df.index.isin(celltype_df.index)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "f34d6123-ee10-4f44-8471-7e226807e572",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>barcode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAACCCAATGACAGCGTGCTCTGCTTC</th>\n",
       "      <td>1110</td>\n",
       "      <td>9227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACCCAATGACTACGATTCTGCGCTC</th>\n",
       "      <td>11863</td>\n",
       "      <td>17525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACCCAATGGGCTTCTAAGGCACTAT</th>\n",
       "      <td>36326</td>\n",
       "      <td>10478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACCCAATGTCAATCCGGACTGTGGA</th>\n",
       "      <td>4020</td>\n",
       "      <td>17168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACCCACGAAACGGTGGGACTGTGGA</th>\n",
       "      <td>35176</td>\n",
       "      <td>2370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTTGATGACAGCTGTTCTGCGCTC</th>\n",
       "      <td>34850</td>\n",
       "      <td>15295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTTGGCTCGGAAGTTTCTGCGCTC</th>\n",
       "      <td>2542</td>\n",
       "      <td>4716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTTGTACAAACCATTTCTGCGCTC</th>\n",
       "      <td>38155</td>\n",
       "      <td>7606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTTGTACCGTGCTCTTCTGCGCTC</th>\n",
       "      <td>25502</td>\n",
       "      <td>14087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGTTGTACGTTCTATTAGTCATACG</th>\n",
       "      <td>48764</td>\n",
       "      <td>7264</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14055 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 x      y\n",
       "barcode                                  \n",
       "AAACCCAATGACAGCGTGCTCTGCTTC   1110   9227\n",
       "AAACCCAATGACTACGATTCTGCGCTC  11863  17525\n",
       "AAACCCAATGGGCTTCTAAGGCACTAT  36326  10478\n",
       "AAACCCAATGTCAATCCGGACTGTGGA   4020  17168\n",
       "AAACCCACGAAACGGTGGGACTGTGGA  35176   2370\n",
       "...                            ...    ...\n",
       "TTTGTTGATGACAGCTGTTCTGCGCTC  34850  15295\n",
       "TTTGTTGGCTCGGAAGTTTCTGCGCTC   2542   4716\n",
       "TTTGTTGTACAAACCATTTCTGCGCTC  38155   7606\n",
       "TTTGTTGTACCGTGCTCTTCTGCGCTC  25502  14087\n",
       "TTTGTTGTACGTTCTATTAGTCATACG  48764   7264\n",
       "\n",
       "[14055 rows x 2 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spatial_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f86be7a1-2c0a-4461-88e3-1bafb9d22b78",
   "metadata": {},
   "source": [
    "## 合并数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "2043b4ff-bf57-42e2-88cf-be08738034b8",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "merged_df = pd.merge(celltype_df, spatial_df, left_index=True, right_index=True,how=\"inner\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "ea548222-f852-4790-9d3f-2873e6a3748d",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample_id</th>\n",
       "      <th>IGF2</th>\n",
       "      <th>IGF1R</th>\n",
       "      <th>IGF2R</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AGAGCCCCGATAGCTACCCTAATAACG</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27913</td>\n",
       "      <td>15055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CACCGTTATGGGAAACGTCCTATTAGG</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>29920</td>\n",
       "      <td>4106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCCATTCTACGCCTTTGCTAAGTACGA</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>34538</td>\n",
       "      <td>1969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAAGTCGCGACATCCGGCTAAGTACGA</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27680</td>\n",
       "      <td>10535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TACGTCCTACGAAGTGGGGACTGTGGA</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>43135</td>\n",
       "      <td>11168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CGCGTGACGATGCAAGGAAGGCACTAT</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.020862</td>\n",
       "      <td>0.080957</td>\n",
       "      <td>0.225520</td>\n",
       "      <td>33528</td>\n",
       "      <td>12544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GCCAGGTATGAGTCCGGGGACTGTGGA</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.020770</td>\n",
       "      <td>0.137069</td>\n",
       "      <td>0.273685</td>\n",
       "      <td>40550</td>\n",
       "      <td>7503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TGGGTTAATGACGTCGAAAGGCACTAT</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.020676</td>\n",
       "      <td>0.060789</td>\n",
       "      <td>0.303916</td>\n",
       "      <td>20952</td>\n",
       "      <td>13660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCCGGAACGAGTCAGCCCCTAATAACG</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.091217</td>\n",
       "      <td>0.323553</td>\n",
       "      <td>41631</td>\n",
       "      <td>16713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCAGGGCGCTTTCTATCAGCGACGGAT</th>\n",
       "      <td>ndGBM_5_2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.156162</td>\n",
       "      <td>0.262727</td>\n",
       "      <td>34379</td>\n",
       "      <td>11688</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14055 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             sample_id      IGF2     IGF1R     IGF2R      x  \\\n",
       "AGAGCCCCGATAGCTACCCTAATAACG  ndGBM_5_2  0.000000  0.000000  0.000000  27913   \n",
       "CACCGTTATGGGAAACGTCCTATTAGG  ndGBM_5_2  0.000000  0.000000  0.000000  29920   \n",
       "GCCATTCTACGCCTTTGCTAAGTACGA  ndGBM_5_2  0.000000  0.000000  0.000000  34538   \n",
       "TAAGTCGCGACATCCGGCTAAGTACGA  ndGBM_5_2  0.000000  0.000000  0.000000  27680   \n",
       "TACGTCCTACGAAGTGGGGACTGTGGA  ndGBM_5_2  0.000000  0.000000  0.000000  43135   \n",
       "...                                ...       ...       ...       ...    ...   \n",
       "CGCGTGACGATGCAAGGAAGGCACTAT  ndGBM_5_2  0.020862  0.080957  0.225520  33528   \n",
       "GCCAGGTATGAGTCCGGGGACTGTGGA  ndGBM_5_2  0.020770  0.137069  0.273685  40550   \n",
       "TGGGTTAATGACGTCGAAAGGCACTAT  ndGBM_5_2  0.020676  0.060789  0.303916  20952   \n",
       "CCCGGAACGAGTCAGCCCCTAATAACG  ndGBM_5_2  0.000000  0.091217  0.323553  41631   \n",
       "TCAGGGCGCTTTCTATCAGCGACGGAT  ndGBM_5_2  0.000000  0.156162  0.262727  34379   \n",
       "\n",
       "                                 y  \n",
       "AGAGCCCCGATAGCTACCCTAATAACG  15055  \n",
       "CACCGTTATGGGAAACGTCCTATTAGG   4106  \n",
       "GCCATTCTACGCCTTTGCTAAGTACGA   1969  \n",
       "TAAGTCGCGACATCCGGCTAAGTACGA  10535  \n",
       "TACGTCCTACGAAGTGGGGACTGTGGA  11168  \n",
       "...                            ...  \n",
       "CGCGTGACGATGCAAGGAAGGCACTAT  12544  \n",
       "GCCAGGTATGAGTCCGGGGACTGTGGA   7503  \n",
       "TGGGTTAATGACGTCGAAAGGCACTAT  13660  \n",
       "CCCGGAACGAGTCAGCCCCTAATAACG  16713  \n",
       "TCAGGGCGCTTTCTATCAGCGACGGAT  11688  \n",
       "\n",
       "[14055 rows x 6 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d13a4e2-01f4-45ae-9dfe-c7c6a365684e",
   "metadata": {},
   "source": [
    "## 绘制 3D 空间密度图\n",
    "以细胞类型 AC 为例，绘制其 3D 空间密度图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c9e1c015-bc6a-4d21-8520-9fa77e41ba88",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 700x500 with 2 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 700x500 with 2 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 700x500 with 2 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for gene in [\"IGF2\",\"IGF1R\",\"IGF2R\"]:\n",
    "        # 提取坐标和基因表达值\n",
    "        xy = merged_df[['x', 'y']].values.T  # 形状为 (2, N)\n",
    "        expression = merged_df[gene].values  # 基因表达值\n",
    "\n",
    "        # 新增：判断数据点数和表达值有效性\n",
    "        if xy.shape[1] <= 1 or np.all(np.isnan(expression)) or np.all(expression == 0):\n",
    "            print(f\"{sample} {gene} 数据点不足或表达值无效，跳过。\")\n",
    "            continue\n",
    "\n",
    "        # 使用基因表达值作为权重进行核密度估计\n",
    "        # 注意：这里直接使用表达值作为 z 轴高度\n",
    "        kde_weights = gaussian_kde(xy, weights=expression, bw_method=0.2)\n",
    "\n",
    "        # 创建网格\n",
    "        xmin, xmax = merged_df.x.min(), merged_df.x.max()\n",
    "        ymin, ymax = merged_df.y.min(), merged_df.y.max()\n",
    "        xgrid = np.linspace(xmin, xmax, 200)\n",
    "        ygrid = np.linspace(ymin, ymax, 200)\n",
    "        X, Y = np.meshgrid(xgrid, ygrid)\n",
    "        grid_points = np.vstack([X.ravel(), Y.ravel()])\n",
    "\n",
    "        # 计算加权密度（即基因表达的空间分布）\n",
    "        Z = kde_weights(grid_points).reshape(X.shape)\n",
    "\n",
    "        # 创建画布\n",
    "        fig = plt.figure(figsize=(7, 5))\n",
    "        ax3d = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "        # 设置长宽比\n",
    "        ax3d.set_box_aspect([15, 5, 5])\n",
    "\n",
    "        # 美化设置\n",
    "        ax3d.grid(False)\n",
    "        ax3d.set_facecolor('white')\n",
    "        ax3d.xaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))\n",
    "        ax3d.yaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))\n",
    "        ax3d.zaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))\n",
    "\n",
    "        # 隐藏坐标轴\n",
    "        ax3d.set_xticks([])\n",
    "        ax3d.set_yticks([])\n",
    "        ax3d.set_zticks([])\n",
    "        ax3d.set_xticklabels([])\n",
    "        ax3d.set_yticklabels([])\n",
    "        ax3d.set_xlabel('')\n",
    "        ax3d.set_ylabel('')\n",
    "        ax3d.set_zlabel('')\n",
    "\n",
    "        # 绘制基因表达曲面\n",
    "        surf = ax3d.plot_surface(\n",
    "            X, Y, Z,\n",
    "            #cmap='viridis',          # 使用热图色系表示表达强度\n",
    "            cmap='RdYlGn_r',\n",
    "            rstride=5,               # 行采样步长\n",
    "            cstride=5,               # 列采样步长\n",
    "            alpha=0.8,               # 适当透明度\n",
    "            antialiased=True,\n",
    "            edgecolor='none',\n",
    "            linewidth=0.1\n",
    "        )\n",
    "\n",
    "        # 添加颜色条表示表达强度\n",
    "        cbar = fig.colorbar(surf, ax=ax3d, shrink=0.4, aspect=10, pad=0.05)\n",
    "        cbar.set_label(f'{gene} Expression', fontsize=10)\n",
    "\n",
    "        # 设置视角（从y轴方向俯视）\n",
    "        ax3d.view_init(elev=30, azim=-90)\n",
    "\n",
    "        # 调整布局并保存\n",
    "        plt.tight_layout()\n",
    "        plt.subplots_adjust(left=0, right=0.95, top=0.95, bottom=0.05)\n",
    "        #plt.savefig(f'{sample}_{gene}_expression3d.pdf')\n",
    "        plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74fea0c2-1263-419e-b1f6-8055e32a5164",
   "metadata": {},
   "source": [
    "## 绘制 3D 空间密度图的映射图\n",
    "以细胞类型 AC 为例，绘制其 3D 空间密度图的映射图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "3db9ab83-15bb-4f2c-8792-468619612f7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 700x500 with 2 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 700x500 with 2 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 700x500 with 2 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for gene in [\"IGF2\",\"IGF1R\",\"IGF2R\"]:\n",
    "        # 提取坐标和基因表达值\n",
    "        xy = merged_df[['x', 'y']].values.T  # 形状为 (2, N)\n",
    "        expression = merged_df[gene].values  # 基因表达值\n",
    "\n",
    "        # 新增：判断数据点数和表达值有效性\n",
    "        if xy.shape[1] <= 1 or np.all(np.isnan(expression)) or np.all(expression == 0):\n",
    "            print(f\"{sample} {gene} 数据点不足或表达值无效，跳过。\")\n",
    "            continue\n",
    "\n",
    "        # 使用基因表达值作为权重进行核密度估计\n",
    "        # 注意：这里直接使用表达值作为 z 轴高度\n",
    "        kde_weights = gaussian_kde(xy, weights=expression, bw_method=0.2)\n",
    "\n",
    "        # 创建网格\n",
    "        xmin, xmax = merged_df.x.min(), merged_df.x.max()\n",
    "        ymin, ymax = merged_df.y.min(), merged_df.y.max()\n",
    "        xgrid = np.linspace(xmin, xmax, 200)\n",
    "        ygrid = np.linspace(ymin, ymax, 200)\n",
    "        X, Y = np.meshgrid(xgrid, ygrid)\n",
    "        grid_points = np.vstack([X.ravel(), Y.ravel()])\n",
    "\n",
    "        # 计算加权密度（即基因表达的空间分布）\n",
    "        Z = kde_weights(grid_points).reshape(X.shape)\n",
    "\n",
    "        # 创建画布\n",
    "        fig = plt.figure(figsize=(7, 5))\n",
    "        ax3d = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "        # 设置长宽比\n",
    "        ax3d.set_box_aspect([15, 5, 0.01])\n",
    "\n",
    "        # 美化设置\n",
    "        ax3d.grid(False)\n",
    "        ax3d.set_facecolor('white')\n",
    "        ax3d.xaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))\n",
    "        ax3d.yaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))\n",
    "        ax3d.zaxis.set_pane_color((1.0, 1.0, 1.0, 1.0))\n",
    "\n",
    "        # 隐藏坐标轴\n",
    "        ax3d.set_xticks([])\n",
    "        ax3d.set_yticks([])\n",
    "        ax3d.set_zticks([])\n",
    "        ax3d.set_xticklabels([])\n",
    "        ax3d.set_yticklabels([])\n",
    "        ax3d.set_xlabel('')\n",
    "        ax3d.set_ylabel('')\n",
    "        ax3d.set_zlabel('')\n",
    "\n",
    "        # 绘制基因表达曲面\n",
    "        surf = ax3d.plot_surface(\n",
    "            X, Y, Z,\n",
    "            #cmap='viridis',          # 使用热图色系表示表达强度\n",
    "            cmap='RdYlGn_r',\n",
    "            rstride=5,               # 行采样步长\n",
    "            cstride=5,               # 列采样步长\n",
    "            alpha=0.8,               # 适当透明度\n",
    "            antialiased=True,\n",
    "            edgecolor='none',\n",
    "            linewidth=0.1\n",
    "        )\n",
    "\n",
    "        # 添加颜色条表示表达强度\n",
    "        cbar = fig.colorbar(surf, ax=ax3d, shrink=0.4, aspect=10, pad=0.05)\n",
    "        cbar.set_label(f'{gene} Expression', fontsize=10)\n",
    "\n",
    "        # 设置视角（从y轴方向俯视）\n",
    "        ax3d.view_init(elev=30, azim=-90)\n",
    "\n",
    "        # 调整布局并保存\n",
    "        plt.tight_layout()\n",
    "        plt.subplots_adjust(left=0, right=0.95, top=0.95, bottom=0.05)\n",
    "#        plt.savefig(f'{sample}_{gene}_expression2d.pdf')\n",
    "        plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f183db5d-4ec0-4393-ade6-12ba351ed574",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "## 绘制 2D 密度图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "d0c8c401-f804-49d8-b864-a8a0f94b1316",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 600x400 with 1 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 600x400 with 1 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Figure size 600x400 with 1 Axes"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for gene in [\"IGF2\",\"IGF1R\",\"IGF2R\"]:\n",
    "        # 提取坐标和基因表达值\n",
    "        xy = merged_df[['x', 'y']].values.T  # 形状为 (2, N)\n",
    "        expression = merged_df[gene].values  # 基因表达值\n",
    "\n",
    "        # 新增：判断数据点数和表达值有效性\n",
    "        if xy.shape[1] <= 1 or np.all(np.isnan(expression)) or np.all(expression == 0):\n",
    "            print(f\"{sample} {gene} 数据点不足或表达值无效，跳过。\")\n",
    "            continue\n",
    "\n",
    "        # 使用基因表达值作为权重进行核密度估计\n",
    "        # 注意：这里直接使用表达值作为 z 轴高度\n",
    "        kde_weights = gaussian_kde(xy, weights=expression, bw_method=0.2)\n",
    "\n",
    "        # 创建网格\n",
    "        xmin, xmax = merged_df.x.min(), merged_df.x.max()\n",
    "        ymin, ymax = merged_df.y.min(), merged_df.y.max()\n",
    "        xgrid = np.linspace(xmin, xmax, 200)\n",
    "        ygrid = np.linspace(ymin, ymax, 200)\n",
    "        X, Y = np.meshgrid(xgrid, ygrid)\n",
    "        grid_points = np.vstack([X.ravel(), Y.ravel()])\n",
    "\n",
    "        # 计算加权密度（即基因表达的空间分布）\n",
    "        Z = kde_weights(grid_points).reshape(X.shape)\n",
    "\n",
    "        fig2d, ax2d = plt.subplots(figsize=(6, 4))\n",
    "        contour = ax2d.contourf(X, Y, Z, levels=20, cmap='RdYlGn_r')\n",
    "\n",
    "        # 坐标轴设置\n",
    "        ax2d.set(xlim=(xmin, xmax), ylim=(ymin, ymax), aspect='equal')\n",
    "\n",
    "        # 取消坐标轴刻度\n",
    "        ax2d.set_xticks([])\n",
    "        ax2d.set_yticks([])\n",
    "\n",
    "        # 取消坐标轴标签\n",
    "        ax2d.set_xlabel('')\n",
    "        ax2d.set_ylabel('')\n",
    "\n",
    "        plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93c7c14d-3b60-4cd0-8b8f-9d531db0a9dc",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cellcharter-env",
   "language": "python",
   "name": "cellcharter-env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.21"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}