历史文章附件列表/（数据科学学习手札162）Python GIS神器geopandas 1.0版本发布/（数据科学学习手札162）Python GIS神器geopandas 1.0版本发布.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "effc55c9-cc69-460c-99de-2c6d6df5df8d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:31.143102Z",
     "iopub.status.busy": "2024-06-25T09:13:31.143102Z",
     "iopub.status.idle": "2024-06-25T09:13:32.313021Z",
     "shell.execute_reply": "2024-06-25T09:13:32.312512Z",
     "shell.execute_reply.started": "2024-06-25T09:13:31.143102Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.0.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "from shapely.geometry import (\n",
    "    Point, \n",
    "    LineString,\n",
    "    LinearRing,\n",
    "    Polygon,\n",
    "    MultiPoint,\n",
    "    MultiLineString,\n",
    "    MultiPolygon,\n",
    "    box\n",
    ")\n",
    "\n",
    "gpd.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "322786c4-a9f6-4460-abf3-fcf2b64b26ff",
   "metadata": {},
   "source": [
    "# 2 geopandas 1.0版本介绍"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9178777-bd49-4c58-a9b3-fc83b8633c46",
   "metadata": {},
   "source": [
    "## 2.1 新增API介绍"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06dec5ba-e7c9-4ba9-9477-8a870fd450df",
   "metadata": {},
   "source": [
    "### 2.1.1 新增count_geometries()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1ebca49c-1636-435f-9b68-2753777aeeca",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:32.315106Z",
     "iopub.status.busy": "2024-06-25T09:13:32.314028Z",
     "iopub.status.idle": "2024-06-25T09:13:32.329818Z",
     "shell.execute_reply": "2024-06-25T09:13:32.328809Z",
     "shell.execute_reply.started": "2024-06-25T09:13:32.315106Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    5\n",
       "dtype: int32"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_gdf = gpd.GeoDataFrame(\n",
    "    geometry=[\n",
    "        Point(0, 0),\n",
    "        MultiPoint([Point(i, i) for i in range(5)])\n",
    "    ]\n",
    ")\n",
    "\n",
    "demo_gdf.count_geometries()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c41cc6f-7280-4466-84aa-3cd96690068c",
   "metadata": {},
   "source": [
    "### 2.1.2 新增count_interior_rings()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c06ce545-c7f9-43d6-a478-3c4d1b9af31d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:32.333734Z",
     "iopub.status.busy": "2024-06-25T09:13:32.332692Z",
     "iopub.status.idle": "2024-06-25T09:13:32.344678Z",
     "shell.execute_reply": "2024-06-25T09:13:32.344678Z",
     "shell.execute_reply.started": "2024-06-25T09:13:32.333734Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.2 -0.2 5.4 5.4\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.10800000000000001\" opacity=\"0.6\" d=\"M 0.0,0.0 L 0.0,5.0 L 5.0,5.0 L 5.0,0.0 L 0.0,0.0 z M 1.0,1.0 L 1.0,2.0 L 2.0,2.0 L 2.0,1.0 L 1.0,1.0 z M 3.0,2.0 L 3.0,3.0 L 4.0,3.0 L 4.0,2.0 L 3.0,2.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<POLYGON ((0 0, 0 5, 5 5, 5 0, 0 0), (1 1, 1 2, 2 2, 2 1, 1 1), (3 2, 3 3, 4...>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_polygon = Polygon(\n",
    "    [(0, 0), (0, 5), (5, 5), (5, 0)],\n",
    "    [\n",
    "        [(1, 1), (1, 2), (2, 2), (2, 1)],\n",
    "        [(3, 2), (3, 3), (4, 3), (4, 2)],\n",
    "    ],\n",
    ")\n",
    "demo_polygon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ab83736f-3e94-41e2-a03b-b17daa065885",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:32.346817Z",
     "iopub.status.busy": "2024-06-25T09:13:32.346817Z",
     "iopub.status.idle": "2024-06-25T09:13:32.360208Z",
     "shell.execute_reply": "2024-06-25T09:13:32.360208Z",
     "shell.execute_reply.started": "2024-06-25T09:13:32.346817Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2\n",
       "dtype: int32"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_gdf = gpd.GeoDataFrame(geometry=[demo_polygon])\n",
    "demo_gdf.count_interior_rings()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a4fd7ed-9417-4138-8867-f383d7f5a21a",
   "metadata": {},
   "source": [
    "### 2.1.3 新增relate_pattern()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "875d487f-bb65-4430-a606-b5654e89ce5d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:32.362394Z",
     "iopub.status.busy": "2024-06-25T09:13:32.361277Z",
     "iopub.status.idle": "2024-06-25T09:13:32.376621Z",
     "shell.execute_reply": "2024-06-25T09:13:32.375417Z",
     "shell.execute_reply.started": "2024-06-25T09:13:32.362394Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    212101212\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s1 = gpd.GeoSeries([Polygon([(0, 0), (0, 5), (5, 5), (5, 0)])])\n",
    "demo_s2 = gpd.GeoSeries([Polygon([(1, 1), (1, 6), (6, 6), (6, 1)])])\n",
    "\n",
    "# 计算DE-9IM空间关系\n",
    "demo_s1.relate(demo_s2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3c77d76f-843c-44bf-92fc-9674216e6051",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:32.378757Z",
     "iopub.status.busy": "2024-06-25T09:13:32.377746Z",
     "iopub.status.idle": "2024-06-25T09:13:32.392034Z",
     "shell.execute_reply": "2024-06-25T09:13:32.390546Z",
     "shell.execute_reply.started": "2024-06-25T09:13:32.378757Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用relate_pattern()判断指定的DE-9IM空间关系\n",
    "demo_s1.relate_pattern(demo_s2, pattern='212101212')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a08a941-7ea0-49f9-8135-f5b2de96c032",
   "metadata": {},
   "source": [
    "### 2.1.4 新增intersection_all()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "760c2733-cc2f-450a-9442-a0be5e6e9be8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:32.393045Z",
     "iopub.status.busy": "2024-06-25T09:13:32.393045Z",
     "iopub.status.idle": "2024-06-25T09:13:33.260012Z",
     "shell.execute_reply": "2024-06-25T09:13:33.259505Z",
     "shell.execute_reply.started": "2024-06-25T09:13:32.393045Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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/vn5VlV8Jlmv2cUpMmKDWni59e+af+rRZkhJTp0iSNkybL3tPt0/75wkpSrSP1b+1t+r37V/4tLXFjVbi+DSN6u1RsSNdL1Xtlf3G8LwqAISru/by3R+bO3eu9u7dO2C7zWaTzRacs5nY+CTZE9OCcmwEj+2LS5KknvGpinOkqsWRqhY//eIkdUv6NGWy3zZJOudI9fsccZKuOVJ1bYA2S9KnyZkDHvfzQY7b5khV2wBtknRu4v1+xwIjTUg+p1RbWyun0xmKpwYAGCzgM6Xr16/r008/9W7X1dXp5MmTSkpK0qRJk1RSUqKGhga9+uqrkqStW7dqypQpmj59urq6urR37165XC65XK7hmwUinqUoeUZFS4oKdSlBcWbCJN3zUIEy0qZ4z56AkSjgUKqpqfG5cq7vvZ/ly5ervLxcjY2Nqq+v97Z3dXVp3bp1amho0OjRozV9+nQdOnRIhYWF/Y4NDOSTjHs0bdmLsqdPDc1rzkF2c9QoXY+O1c1R3GQFI1vAv9+LFi2SZVkDtpeXl/tsr1+/XuvXrw+4MGAkmfxFk3ac/Q/tnPMttfCeJ0Yw/luGsDC5uV4HD27V1K9cBh4pxnZ36lF3i8Z4OkJdChBShBLCgq2nSzOuNsjW03XrzgDCFqEEADAGoQQAMAahBBigcVySNkyaruaECaEuBQgpQglh4WJimlYu+p9qGB+ZV6Z9MSZBe9Km6NrYhFt3BiIYoYSwcH10vN6cMktu+7hQlxIUjs7rWtryueI7rt+6MxDBCCWEhcTrX2jFh1VK/srXSkSKie4WvVL3Ozmv8dUqGNkIJYSFFPcVbfrtPyu17UqoSwEQRIQSAMAYhBIAwBiEEmCAjhibasaOV2ecPdSlACFFKCEsXLeN1b9mPajrtjGhLiUo6pKc+rMHv6n65IxQlwKEVCR+CwAi0MVkp/4m/7uyJzr5oQUiGGdKCAvRvT1K6ryumN6eUJcSFA82n9Ol3x7S/Y2fhboUIKQIJYSFey6dU83rm3Xf5fOhLgVAEBFKAABjEEoAAGMQSgAAY3AhE2CAT5My9I2vLdKYlEz+p4gRjVBCWPg0PVsz/+rHupk6JSL/aHfFxOmSfazujYkTH5/FSBaJv9+IQDdHRet6nF03R0WHupSgmNh6Wdv/UMtdwjHiEUoIC5ktDSo/8nNNvnox1KUEhcPTrr+4epHvU8KIRyghLIzp6tDCix9rTFdHqEsBEESEEgDAGIQSAMAYhBJggMtjx+snGffpyrjEUJcChBShhLDQ7EjRj77xpJoSJoS6lKC4PHa8tky8X1fiCSWMbHxOCWHh2liHfjntm7KPcUTkD+1YT4dmtV7WVc8N3Qx1MUAIcaaEsBB/o01P/OGEHB1toS4lKCa3XtK+j/9TmVebQl0KEFKEEsKC89ol/fTY68po5cOlQCQjlAAAxiCUAADGIJQAA3RFx6jONkbdMbGhLgUIKUIJYaEj1q73UyapIzYy76H9aXKm5s58VHUpWaEuBQipSLy6FhHoQkqm/uLPVsuePJEfWiCCcaYEGOD+y/X6sLZC91w6H+pSgJAilBAW7r/4qT4r/1+a1vSHUJcSFDHWTU3o6VL0zd5QlwKEFKEEADAGoQQAMAahBAAwBhcyAQY4Nz5dfzZtnjzJGaEuBQgpzpQQFs6lTNKj3/6B/jAhMj/HcyPOrppxieqIi8zPYQG3i1BCWOiKjdP5hAnqiokLdSlBkdZ2VZvrP1KK+0qoSwFCilBCWHBebdJL1a9p4rVLoS4lKJI73Cq6VKfE9tZQlwKEVMChVF1drccff1wZGRmKiorSG2+8ccsxVVVVys3Nld1u19SpU7Vz586h1IoRLL7zup78rFYJnddDXQqAIAo4lNrb2zVr1iz97Gc/u63+dXV1Kiws1IIFC1RbW6uNGzdqzZo1crlcARcLAIhsAV99t2TJEi1ZsuS2++/cuVOTJk3S1q1bJUnTpk1TTU2NtmzZoqVLlwb69ACACBb0S8KPHz+ugoICn32LFy9WWVmZuru7FRvb/1b9Ho9HHo/Hu+12u4NdJsLEtIazkqQ2+1h9Pj5dsb3duvdyfb9+Z9KyZUWN0uSrDRrT1enT1piQomtjEjT+hltO92Wfthtxdp1Pmqgo66YeuFTX77ifpkxSd3SsMq81Kb6z3aft8rgktYxLVHxnuzKv+X6teVdMnPfKwQcu1SnKuunT3nZTKpuQqebeHnV+EXnvm3V5OtTVdlVtV5rU2zE21OUgQO6Wxrv2XEEPpaamJqWlpfnsS0tLU09Pj1paWuR0OvuNKS0t1ebNm4NdGsLI1YRkSdLfVfxcknR48kytevRpjW+/Jtev/r5f/weeLlVXdIx+9OYOzb30mU/bhnl/of9z/ze08OP/0Ivv/tqn7b20qfqrJd9XXG+PXL8s6Xfcef9jk5rGjtfzR3+pwvOnfNp+8tAS7Zj5mL5Z/6F+/na5T9vH49P0355cJ0n63//0Q8V3e3zaC/OfUfHY8Uo6fUyxdSdu418kvHR3edR59aIutH6o0fbRoS4HQxBvj5HD4Qj689yVD89GRUX5bFuW5Xd/n5KSEhUXF3u33W63srIi8/MpuD3uCRP15xv+SUn/dcl0m32sJiY5FdPTrRUp2/r1T02fKmvUKG37yw36+VfOlC45UjRxrEO/d2ZqxdcX+rR1xNk1cUKmom7e1Irn+h/XljpZE2NiVZ70t3J95UypJT5JE+OT9PnEyVrxwEM+bV0xcZqYOkmStOZvtmjUf/0OeOcXa1NSe6Pm//e/UnxS6m3+q4SPtqvNuvjvB/R3JcWaOHFiqMvBEDgcjsgIpfT0dDU1+b6U0dzcrJiYGCUnJ/sdY7PZZLPZgl0awox7wkS5J/z/P2h9n1g6N25mv759Lwpfyrzf77HiJHXYx+hccv8zde9xp/Y/7qj/ar+ScY/8faIoTlKXfYzOJfYPlr7j1md/rV+b9cUlxcbZFJ+UKkdK/5oiwegxYzVx4kRNmjQp1KXAYEH/nFJeXp4qKip89h05ckRz5szx+34SAGDkCjiUrl+/rpMnT+rkyZOSvrzk++TJk6qv//LN5pKSEi1btszbv6ioSOfPn1dxcbFOnz6t3bt3q6ysTOvWrRueGQAAIkbAL9/V1NTo0Ucf9W73vfezfPlylZeXq7Gx0RtQkpSdna3Dhw9r7dq12r59uzIyMrRt2zYuBwcA9BNwKC1atMh7oYI/5eXl/fY98sgjev/99wN9KgDACMO97wAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYglAAAxiCUAADGIJQAAMYYUii98sorys7Olt1uV25uro4dOzZg38rKSkVFRfV7nDlzZshFAwAiU8ChtG/fPj3//PPatGmTamtrtWDBAi1ZskT19fWDjjt79qwaGxu9j/vuu2/IRQMAIlPAofTSSy9pxYoVevbZZzVt2jRt3bpVWVlZ2rFjx6DjUlNTlZ6e7n1ER0cPuWgAQGQKKJS6urp04sQJFRQU+OwvKCjQu+++O+jY2bNny+l0Kj8/X0ePHh20r8fjkdvt9nkAACJfQKHU0tKi3t5epaWl+exPS0tTU1OT3zFOp1O7du2Sy+XS/v37lZOTo/z8fFVXVw/4PKWlpXI4HN5HVlZWIGUCAMJUzFAGRUVF+WxbltVvX5+cnBzl5OR4t/Py8nThwgVt2bJFCxcu9DumpKRExcXF3m23200wAcAIENCZ0oQJExQdHd3vrKi5ubnf2dNg5s6dq08++WTAdpvNpoSEBJ8HACDyBRRKcXFxys3NVUVFhc/+iooKzZs377aPU1tbK6fTGchTAwBGgIBfvisuLtbTTz+tOXPmKC8vT7t27VJ9fb2KiookffnSW0NDg1599VVJ0tatWzVlyhRNnz5dXV1d2rt3r1wul1wu1/DOBAAQ9gIOpaeeekpXrlzRCy+8oMbGRs2YMUOHDx/W5MmTJUmNjY0+n1nq6urSunXr1NDQoNGjR2v69Ok6dOiQCgsLh28WAICIMKQLHZ577jk999xzftvKy8t9ttevX6/169cP5WkAACMM974DABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYY0ih9Morryg7O1t2u125ubk6duzYoP2rqqqUm5sru92uqVOnaufOnUMqFgAQ2QIOpX379un555/Xpk2bVFtbqwULFmjJkiWqr6/327+urk6FhYVasGCBamtrtXHjRq1Zs0Yul+uOiwcARJaAQ+mll17SihUr9Oyzz2ratGnaunWrsrKytGPHDr/9d+7cqUmTJmnr1q2aNm2ann32WT3zzDPasmXLHRcPAIgsMYF07urq0okTJ7Rhwwaf/QUFBXr33Xf9jjl+/LgKCgp89i1evFhlZWXq7u5WbGxsvzEej0cej8e77Xa7AylzUB1XG4ftWMBw8Vy7rO4uj9quNoe6lKBwt/B7h9sTUCi1tLSot7dXaWlpPvvT0tLU1NTkd0xTU5Pf/j09PWppaZHT6ew3prS0VJs3bw6ktFtKSEiQTT268s7rw3pcYLhE3+xW83/+s76IjQt1KUERb4+Rw+EIdRkwXECh1CcqKspn27Ksfvtu1d/f/j4lJSUqLi72brvdbmVlZQ2lVK/p06fr0P59w3rWBQyn+Ph4JSQkhLqMoHE4HIQSbimgUJowYYKio6P7nRU1Nzf3Oxvqk56e7rd/TEyMkpOT/Y6x2Wyy2WyBlHZbpk+fPuzHBAAMn4AudIiLi1Nubq4qKip89ldUVGjevHl+x+Tl5fXrf+TIEc2ZM8fv+0kAgJEr4KvviouL9Ytf/EK7d+/W6dOntXbtWtXX16uoqEjSly+9LVu2zNu/qKhI58+fV3FxsU6fPq3du3errKxM69atG75ZAAAiQsDvKT311FO6cuWKXnjhBTU2NmrGjBk6fPiwJk+eLElqbGz0+cxSdna2Dh8+rLVr12r79u3KyMjQtm3btHTp0uGbBQAgIkRZfVcdGMztdsvhcKi1tTWi3wgGgEgUyN9w7n0HADAGoQQAMAahBAAwBqEEADAGoQQAMAahBAAwBqEEADAGoQQAMAahBAAwxpC+uuJu67vpBF87AQDhp+9v9+3cQCgsQqmtrU2S7vg7lQAAodPW1nbL79QKi3vf3bx5UxcvXlR8fPygXyY4mL4vCrxw4UJE3j+P+YU35hfemN/gLMtSW1ubMjIyNGrU4O8ahcWZ0qhRo5SZmTksx0pISIjIH5o+zC+8Mb/wxvwGdrvfOsyFDgAAYxBKAABjjJhQstls+tGPfiSbzRbqUoKC+YU35hfemN/wCYsLHQAAI8OIOVMCAJiPUAIAGINQAgAYg1ACABgjYkLplVdeUXZ2tux2u3Jzc3Xs2LFB+1dVVSk3N1d2u11Tp07Vzp0771KlQxPI/CorKxUVFdXvcebMmbtY8e2rrq7W448/royMDEVFRemNN9645ZhwWr9A5xdu61daWqqHH35Y8fHxSk1N1ZNPPqmzZ8/ecly4rOFQ5hdOa7hjxw7NnDnT+8HYvLw8vfnmm4OOCebaRUQo7du3T88//7w2bdqk2tpaLViwQEuWLFF9fb3f/nV1dSosLNSCBQtUW1urjRs3as2aNXK5XHe58tsT6Pz6nD17Vo2Njd7Hfffdd5cqDkx7e7tmzZqln/3sZ7fVP9zWL9D59QmX9auqqtLKlSv13nvvqaKiQj09PSooKFB7e/uAY8JpDYcyvz7hsIaZmZl68cUXVVNTo5qaGj322GN64okn9OGHH/rtH/S1syLAn/zJn1hFRUU++x544AFrw4YNfvuvX7/eeuCBB3z2fe9737Pmzp0btBrvRKDzO3r0qCXJ+uKLL+5CdcNLknXgwIFB+4Tb+v2x25lfOK+fZVlWc3OzJcmqqqoasE84r+HtzC/c1zAxMdH6xS9+4bct2GsX9mdKXV1dOnHihAoKCnz2FxQU6N133/U75vjx4/36L168WDU1Neru7g5arUMxlPn1mT17tpxOp/Lz83X06NFglnlXhdP63YlwXb/W1lZJUlJS0oB9wnkNb2d+fcJtDXt7e/X666+rvb1deXl5fvsEe+3CPpRaWlrU29urtLQ0n/1paWlqamryO6apqclv/56eHrW0tASt1qEYyvycTqd27doll8ul/fv3KycnR/n5+aqurr4bJQddOK3fUITz+lmWpeLiYs2fP18zZswYsF+4ruHtzi/c1vCDDz7QuHHjZLPZVFRUpAMHDujBBx/02zfYaxcWdwm/HV/9SgvLsgb9mgt//f3tN0Ug88vJyVFOTo53Oy8vTxcuXNCWLVu0cOHCoNZ5t4Tb+gUinNdv1apVOnXqlN55551b9g3HNbzd+YXbGubk5OjkyZO6du2aXC6Xli9frqqqqgGDKZhrF/ZnShMmTFB0dHS/s4bm5uZ+ad4nPT3db/+YmBglJycHrdahGMr8/Jk7d64++eST4S4vJMJp/YZLOKzf6tWrdfDgQR09evSWXzUTjmsYyPz8MXkN4+LidO+992rOnDkqLS3VrFmz9PLLL/vtG+y1C/tQiouLU25urioqKnz2V1RUaN68eX7H5OXl9et/5MgRzZkzR7GxsUGrdSiGMj9/amtr5XQ6h7u8kAin9RsuJq+fZVlatWqV9u/fr7ffflvZ2dm3HBNOaziU+flj8hp+lWVZ8ng8ftuCvnbDcrlEiL3++utWbGysVVZWZn300UfW888/b40dO9Y6d+6cZVmWtWHDBuvpp5/29v/ss8+sMWPGWGvXrrU++ugjq6yszIqNjbV+/etfh2oKgwp0fj/96U+tAwcOWB9//LH1+9//3tqwYYMlyXK5XKGawqDa2tqs2tpaq7a21pJkvfTSS1Ztba11/vx5y7LCf/0CnV+4rd/3v/99y+FwWJWVlVZjY6P3cePGDW+fcF7DocwvnNawpKTEqq6uturq6qxTp05ZGzdutEaNGmUdOXLEsqy7v3YREUqWZVnbt2+3Jk+ebMXFxVkPPfSQz+Way5cvtx555BGf/pWVldbs2bOtuLg4a8qUKdaOHTvucsWBCWR+//AP/2Ddc889lt1utxITE6358+dbhw4dCkHVt6fv8tmvPpYvX25ZVvivX6DzC7f18zc3SdaePXu8fcJ5DYcyv3Baw2eeecb7tyUlJcXKz8/3BpJl3f2146srAADGCPv3lAAAkYNQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABiDUAIAGINQAgAYg1ACABjj/wFQsIto4MeXawAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries(\n",
    "    [box(0, 0, 2, 2), box(1, 1, 3, 3), box(0, 0, 1.5, 1.5)]\n",
    ")\n",
    "ax = demo_s.plot(edgecolor='black', alpha=0.6)\n",
    "(\n",
    "    gpd\n",
    "    .GeoSeries([demo_s.intersection_all()])\n",
    "    .plot(ax=ax, facecolor='none', edgecolor='red', linestyle='--')\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49575649-bd53-43f0-8fc4-6d78d881c3a7",
   "metadata": {},
   "source": [
    "### 2.1.5 新增line_merge()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a659524b-14fa-4557-8bac-43f17dd2f3ee",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.262021Z",
     "iopub.status.busy": "2024-06-25T09:13:33.261025Z",
     "iopub.status.idle": "2024-06-25T09:13:33.431262Z",
     "shell.execute_reply": "2024-06-25T09:13:33.431262Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.262021Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries(\n",
    "    [\n",
    "        MultiLineString(\n",
    "            [\n",
    "                LineString([(0, 0), (1, 1)]),\n",
    "                LineString([(1, 1), (2, 0)]),\n",
    "                LineString([(2, 0), (3, 1)])\n",
    "            ]\n",
    "        ),\n",
    "    ]\n",
    ")\n",
    "demo_s.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ba8197d8-acbf-4841-bfeb-4f86fdbc030d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.433443Z",
     "iopub.status.busy": "2024-06-25T09:13:33.433443Z",
     "iopub.status.idle": "2024-06-25T09:13:33.447914Z",
     "shell.execute_reply": "2024-06-25T09:13:33.446912Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.433443Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    LINESTRING (0 0, 1 1, 2 0, 3 1)\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.line_merge()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b64730f-99ff-4dd3-8698-e69dce992eb2",
   "metadata": {},
   "source": [
    "### 2.1.6 新增set_precision()、get_precision()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a2d3cb65-1f8a-4349-a6a7-1a87d4db16e3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.448913Z",
     "iopub.status.busy": "2024-06-25T09:13:33.448913Z",
     "iopub.status.idle": "2024-06-25T09:13:33.463338Z",
     "shell.execute_reply": "2024-06-25T09:13:33.462253Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.448913Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    POINT (0.1235 0.1235)\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries([Point(0.123456, 0.123456)])\n",
    "demo_s.set_precision(0.0001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "19dc9653-edbd-4cd8-97fd-91ecbec1e9d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.464362Z",
     "iopub.status.busy": "2024-06-25T09:13:33.464362Z",
     "iopub.status.idle": "2024-06-25T09:13:33.478887Z",
     "shell.execute_reply": "2024-06-25T09:13:33.477777Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.464362Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.get_precision()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4854b4c0-c5d5-4312-84f1-a335097d43d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.483606Z",
     "iopub.status.busy": "2024-06-25T09:13:33.482592Z",
     "iopub.status.idle": "2024-06-25T09:13:33.494609Z",
     "shell.execute_reply": "2024-06-25T09:13:33.493605Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.483606Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.0001\n",
       "dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.set_precision(0.0001).get_precision()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "752826da-f04f-4433-bb11-3e3f6139512b",
   "metadata": {},
   "source": [
    "### 2.1.7 新增count_coordinates()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "720d734b-4681-41fc-99eb-f1d910d10e00",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.496829Z",
     "iopub.status.busy": "2024-06-25T09:13:33.495608Z",
     "iopub.status.idle": "2024-06-25T09:13:33.510390Z",
     "shell.execute_reply": "2024-06-25T09:13:33.509249Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.496829Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    2\n",
       "2    3\n",
       "3    4\n",
       "4    5\n",
       "dtype: int32"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries(\n",
    "    [\n",
    "        MultiPoint([Point(j, j) for j in range(i)])\n",
    "        for i in range(1, 6)\n",
    "    ]\n",
    ")\n",
    "demo_s.count_coordinates()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6647c780-fda6-493f-bd41-176660ded49d",
   "metadata": {},
   "source": [
    "### 2.1.8 新增is_ccw属性方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "033007c4-e61a-4a1f-86cf-43145eed8db2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.512403Z",
     "iopub.status.busy": "2024-06-25T09:13:33.511408Z",
     "iopub.status.idle": "2024-06-25T09:13:33.525917Z",
     "shell.execute_reply": "2024-06-25T09:13:33.524916Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.512403Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1     True\n",
       "2    False\n",
       "3    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries(\n",
    "    [\n",
    "        LinearRing([(0, 0), (0, 1), (1, 1), (0, 0)]),\n",
    "        LinearRing([(0, 0), (1, 1), (0, 1), (0, 0)]),\n",
    "        LineString([(0, 0), (1, 1), (0, 1)]),\n",
    "        Point(3, 3)\n",
    "    ]\n",
    ")\n",
    "demo_s.is_ccw"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0d03b98-e81c-494a-8ad3-6bf295b49178",
   "metadata": {},
   "source": [
    "### 2.1.9 新增is_closed属性方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3c31ba72-a848-4836-a153-0d5400b9e1aa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.527853Z",
     "iopub.status.busy": "2024-06-25T09:13:33.527322Z",
     "iopub.status.idle": "2024-06-25T09:13:33.541909Z",
     "shell.execute_reply": "2024-06-25T09:13:33.540483Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.527853Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     True\n",
       "1    False\n",
       "2    False\n",
       "3    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries(\n",
    "    [\n",
    "        LineString([(0, 0), (1, 1), (0, 1), (0, 0)]),\n",
    "        LineString([(0, 0), (1, 1), (0, 1)]),\n",
    "        Polygon([(0, 0), (0, 1), (1, 1), (0, 0)]),\n",
    "        Point(3, 3)\n",
    "    ]\n",
    ")\n",
    "demo_s.is_closed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb0c288b-dd4d-4ac1-9178-b0f3e7703a26",
   "metadata": {},
   "source": [
    "### 2.1.10 新增force_2d()、force_3d()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7e223135-f38f-4a6e-a1a8-a121d5bd519b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.544170Z",
     "iopub.status.busy": "2024-06-25T09:13:33.543152Z",
     "iopub.status.idle": "2024-06-25T09:13:33.557197Z",
     "shell.execute_reply": "2024-06-25T09:13:33.556202Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.544170Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    POINT Z (0 0 0)\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries([Point(0, 0, 0)])\n",
    "demo_s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "42efbca6-4868-48b0-8666-f78adcee8eaa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.558210Z",
     "iopub.status.busy": "2024-06-25T09:13:33.558210Z",
     "iopub.status.idle": "2024-06-25T09:13:33.572952Z",
     "shell.execute_reply": "2024-06-25T09:13:33.571873Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.558210Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    POINT (0 0)\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.force_2d()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9f0d61bd-e48b-4fd9-ad7d-a80018b0dea9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.575065Z",
     "iopub.status.busy": "2024-06-25T09:13:33.574533Z",
     "iopub.status.idle": "2024-06-25T09:13:33.588080Z",
     "shell.execute_reply": "2024-06-25T09:13:33.587082Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.575065Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    POINT Z (0 0 0)\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.force_2d().force_3d()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4112ff5c-59a0-4ed9-ae57-b597a8214e9b",
   "metadata": {},
   "source": [
    "### 2.1.11 新增voronoi_polygons()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5ce98c4a-9218-428e-81bf-d0f28bf7b265",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.589082Z",
     "iopub.status.busy": "2024-06-25T09:13:33.589082Z",
     "iopub.status.idle": "2024-06-25T09:13:33.773844Z",
     "shell.execute_reply": "2024-06-25T09:13:33.773245Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.589082Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "demo_s = gpd.GeoSeries(\n",
    "    [\n",
    "        Point(np.random.uniform(-1, 1), np.random.uniform(-1, 1)) \n",
    "        for i in range(25)\n",
    "    ]\n",
    ")\n",
    "ax = demo_s.plot(color='red', zorder=1, markersize=5)\n",
    "(\n",
    "    demo_s\n",
    "    .voronoi_polygons()\n",
    "    .plot(ax=ax, edgecolor='black', zorder=0, alpha=0.8)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4860c2b-bf37-415c-bb9f-c1f877138756",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T06:27:46.148603Z",
     "iopub.status.busy": "2024-06-25T06:27:46.148603Z",
     "iopub.status.idle": "2024-06-25T06:27:46.154861Z",
     "shell.execute_reply": "2024-06-25T06:27:46.154861Z",
     "shell.execute_reply.started": "2024-06-25T06:27:46.148603Z"
    }
   },
   "source": [
    "### 2.1.12 新增contains_properly()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bb4ca22d-6091-4a33-ae6e-7d7735f776e7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.775495Z",
     "iopub.status.busy": "2024-06-25T09:13:33.774398Z",
     "iopub.status.idle": "2024-06-25T09:13:33.789719Z",
     "shell.execute_reply": "2024-06-25T09:13:33.788542Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.775495Z"
    }
   },
   "outputs": [],
   "source": [
    "demo_s1 = gpd.GeoSeries(\n",
    "    [\n",
    "        Polygon([(0, 0), (1, 0), (1, 1), (0, 1)]),\n",
    "        Polygon([(0, 0), (2, 0), (2, 2), (0, 2)])\n",
    "    ]\n",
    ")\n",
    "\n",
    "demo_s2 = gpd.GeoSeries(\n",
    "    [\n",
    "        Polygon([(0.5, 0.5), (1, 0.5), (1, 1), (0.5, 1)]),\n",
    "        Polygon([(0.5, 0.5), (1, 0.5), (1, 1), (0.5, 1)]),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a348e28b-f608-439b-95f9-c043d4fd22ac",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.791741Z",
     "iopub.status.busy": "2024-06-25T09:13:33.790728Z",
     "iopub.status.idle": "2024-06-25T09:13:33.805658Z",
     "shell.execute_reply": "2024-06-25T09:13:33.804581Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.791741Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1     True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s1.contains_properly(demo_s2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d8600932-1f67-449a-816c-d15bb94fb7af",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.806721Z",
     "iopub.status.busy": "2024-06-25T09:13:33.806721Z",
     "iopub.status.idle": "2024-06-25T09:13:33.821269Z",
     "shell.execute_reply": "2024-06-25T09:13:33.820013Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.806721Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    True\n",
       "1    True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s1.contains(demo_s2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccd99355-a2a4-4928-847f-52634eb1fed7",
   "metadata": {},
   "source": [
    "### 2.1.13 新增build_area()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "24a2f0ae-c9b9-493b-9550-a9797e48a3c4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.822414Z",
     "iopub.status.busy": "2024-06-25T09:13:33.822414Z",
     "iopub.status.idle": "2024-06-25T09:13:33.992398Z",
     "shell.execute_reply": "2024-06-25T09:13:33.991401Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.822414Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries(\n",
    "    [\n",
    "        LineString([(-0.1, 0), (1, 0)]),\n",
    "        LineString([(1, 0), (1, 1)]),\n",
    "        LineString([(1, 1), (0, 1)]),\n",
    "        LineString([(0, 1), (0, -0.1)]),\n",
    "    ]\n",
    ")\n",
    "ax = demo_s.plot(color='red')\n",
    "demo_s.build_area().plot(ax=ax, alpha=0.6);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2333b39-3148-4d68-864e-9d1c18318110",
   "metadata": {},
   "source": [
    "### 2.1.14 新增snap()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "106cc741-b2ca-44a8-8802-156804e449fb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:33.994398Z",
     "iopub.status.busy": "2024-06-25T09:13:33.993401Z",
     "iopub.status.idle": "2024-06-25T09:13:34.210104Z",
     "shell.execute_reply": "2024-06-25T09:13:34.208882Z",
     "shell.execute_reply.started": "2024-06-25T09:13:33.994398Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "demo_s1 = gpd.GeoSeries(\n",
    "    [\n",
    "        LineString([(-0.1, -0.1), (1, 0)])\n",
    "    ]\n",
    ")\n",
    "demo_s2 = gpd.GeoSeries(\n",
    "    [\n",
    "        LineString([(0, 1), (0, 0)])\n",
    "    ]\n",
    ")\n",
    "# 调整前\n",
    "ax = demo_s1.plot(color='black')\n",
    "demo_s2.plot(ax=ax, color='red')\n",
    "# 调整后\n",
    "demo_s1.snap(demo_s2, tolerance=0.1).plot(ax=ax, color='green', linestyle='--')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03eb6c9d-ea1c-44b0-bd0f-ea27d186f0fe",
   "metadata": {},
   "source": [
    "### 2.1.15 新增transform()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f2fe7dbb-0a1a-4a4f-92ff-2a09298d76aa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.211113Z",
     "iopub.status.busy": "2024-06-25T09:13:34.211113Z",
     "iopub.status.idle": "2024-06-25T09:13:34.225966Z",
     "shell.execute_reply": "2024-06-25T09:13:34.224949Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.211113Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                             POINT (2 1.5)\n",
       "1                 LINESTRING (1 0.5, 2 1.5)\n",
       "2    POLYGON ((1 0.5, 2 1.5, 1 1.5, 1 0.5))\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries(\n",
    "    [\n",
    "        Point(1, 1),\n",
    "        LineString([(0, 0), (1, 1)]),\n",
    "        Polygon([(0, 0), (1, 1), (0, 1)]),\n",
    "    ]\n",
    ")\n",
    "demo_s.transform(\n",
    "    lambda c_array: np.apply_along_axis(lambda c: [c[0] + 1, c[1] + 0.5], 1, c_array)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc62b02a-ac18-49f1-a108-d1702a94edfe",
   "metadata": {},
   "source": [
    "### 2.1.16 新增get_geometry()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2f8f42f6-bb70-4989-9013-4924a6ed9270",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.227967Z",
     "iopub.status.busy": "2024-06-25T09:13:34.227967Z",
     "iopub.status.idle": "2024-06-25T09:13:34.242149Z",
     "shell.execute_reply": "2024-06-25T09:13:34.240964Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.227967Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                POINT (0 0)\n",
       "1    MULTIPOINT ((0 0), (1 1), (2 2), (3 3))\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s = gpd.GeoSeries(\n",
    "    [\n",
    "        Point(0, 0),\n",
    "        MultiPoint([Point(i, i) for i in range(4)])\n",
    "    ]\n",
    ")\n",
    "demo_s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5b535c56-5d7a-435d-a6c0-cb9d5051ece9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.244164Z",
     "iopub.status.busy": "2024-06-25T09:13:34.243160Z",
     "iopub.status.idle": "2024-06-25T09:13:34.256927Z",
     "shell.execute_reply": "2024-06-25T09:13:34.256927Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.244164Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    POINT (0 0)\n",
       "1    POINT (0 0)\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.get_geometry(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "59d5b1a1-0350-48dc-9ffd-f20fc3188dcd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.259464Z",
     "iopub.status.busy": "2024-06-25T09:13:34.259464Z",
     "iopub.status.idle": "2024-06-25T09:13:34.273080Z",
     "shell.execute_reply": "2024-06-25T09:13:34.272083Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.259464Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0           None\n",
       "1    POINT (1 1)\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.get_geometry(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d68ea143-c02d-40e6-a7f0-a7799b1cd2c8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.275080Z",
     "iopub.status.busy": "2024-06-25T09:13:34.275080Z",
     "iopub.status.idle": "2024-06-25T09:13:34.288693Z",
     "shell.execute_reply": "2024-06-25T09:13:34.287617Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.275080Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    POINT (0 0)\n",
       "1    POINT (3 3)\n",
       "dtype: geometry"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.get_geometry(-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7251eb9d-6f3f-42d4-94a6-e5f0bcaed4de",
   "metadata": {},
   "source": [
    "### 2.1.17 新增dwithin()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "660cdbf7-2909-44f4-a382-19c770d9de1b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.291539Z",
     "iopub.status.busy": "2024-06-25T09:13:34.291025Z",
     "iopub.status.idle": "2024-06-25T09:13:34.474787Z",
     "shell.execute_reply": "2024-06-25T09:13:34.473669Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.291539Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "demo_s1 = gpd.GeoSeries(\n",
    "    [\n",
    "        Point(0, 0),\n",
    "        Point(5, 5)\n",
    "    ]\n",
    ")\n",
    "\n",
    "demo_s2 = gpd.GeoSeries([Point(1, 0), Point(5, 0)]).buffer(0.5)\n",
    "ax = demo_s1.plot(color='red')\n",
    "demo_s2.plot(ax=ax, facecolor='none', edgecolor='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "fe692758-f841-4542-ad30-a5cda4aa5905",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.475861Z",
     "iopub.status.busy": "2024-06-25T09:13:34.475861Z",
     "iopub.status.idle": "2024-06-25T09:13:34.490009Z",
     "shell.execute_reply": "2024-06-25T09:13:34.489007Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.475861Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     True\n",
       "1    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s1.dwithin(demo_s2, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f87e1902-3762-4285-9511-d141e28878b7",
   "metadata": {},
   "source": [
    "### 2.1.18 新增to_geo_dict()方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f192dc17-aee4-4b2a-b876-6706726f85d5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.492262Z",
     "iopub.status.busy": "2024-06-25T09:13:34.491010Z",
     "iopub.status.idle": "2024-06-25T09:13:34.520682Z",
     "shell.execute_reply": "2024-06-25T09:13:34.519681Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.492262Z"
    }
   },
   "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>value</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>POINT (0 0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>LINESTRING (0 0, 1 1)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>POLYGON ((0 0, 1 1, 0 1, 0 0))</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   value                        geometry\n",
       "0      0                     POINT (0 0)\n",
       "1      1           LINESTRING (0 0, 1 1)\n",
       "2      2  POLYGON ((0 0, 1 1, 0 1, 0 0))"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_gdf = gpd.GeoDataFrame(\n",
    "    {\n",
    "        'value': range(3),\n",
    "        'geometry': [\n",
    "            Point(0, 0),\n",
    "            LineString([(0, 0), (1, 1)]),\n",
    "            Polygon([(0, 0), (1, 1), (0, 1)]),\n",
    "        ]\n",
    "    }\n",
    ")\n",
    "demo_gdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "60301bad-556e-448b-8278-31b6a666f60f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.522684Z",
     "iopub.status.busy": "2024-06-25T09:13:34.522684Z",
     "iopub.status.idle": "2024-06-25T09:13:34.536681Z",
     "shell.execute_reply": "2024-06-25T09:13:34.535682Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.522684Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'type': 'FeatureCollection',\n",
       " 'features': [{'id': '0',\n",
       "   'type': 'Feature',\n",
       "   'properties': {'value': 0},\n",
       "   'geometry': {'type': 'Point', 'coordinates': (0.0, 0.0)}},\n",
       "  {'id': '1',\n",
       "   'type': 'Feature',\n",
       "   'properties': {'value': 1},\n",
       "   'geometry': {'type': 'LineString',\n",
       "    'coordinates': ((0.0, 0.0), (1.0, 1.0))}},\n",
       "  {'id': '2',\n",
       "   'type': 'Feature',\n",
       "   'properties': {'value': 2},\n",
       "   'geometry': {'type': 'Polygon',\n",
       "    'coordinates': (((0.0, 0.0), (1.0, 1.0), (0.0, 1.0), (0.0, 0.0)),)}}]}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_gdf.to_geo_dict()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90979b5b-412c-433b-be37-854e40795f02",
   "metadata": {},
   "source": [
    "## 2.2 功能增强"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4888c86-0a3d-4206-b26a-02af84741798",
   "metadata": {},
   "source": [
    "### 2.2.1 空间连接新增dwithin型空间关系判断"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "ca2779f6-1a72-4828-81d4-bdf544792eca",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.538681Z",
     "iopub.status.busy": "2024-06-25T09:13:34.537683Z",
     "iopub.status.idle": "2024-06-25T09:13:34.569067Z",
     "shell.execute_reply": "2024-06-25T09:13:34.567901Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.538681Z"
    }
   },
   "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>name_left</th>\n",
       "      <th>geometry</th>\n",
       "      <th>index_right</th>\n",
       "      <th>name_right</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>点要素A0</td>\n",
       "      <td>POINT (0 0)</td>\n",
       "      <td>0</td>\n",
       "      <td>点要素B0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>点要素A1</td>\n",
       "      <td>POINT (1 0)</td>\n",
       "      <td>1</td>\n",
       "      <td>点要素B1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  name_left     geometry  index_right name_right\n",
       "0     点要素A0  POINT (0 0)            0      点要素B0\n",
       "1     点要素A1  POINT (1 0)            1      点要素B1"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_gdf1 = gpd.GeoDataFrame(\n",
    "    {\n",
    "        'name': [f'点要素A{i}' for i in range(3)],\n",
    "        'geometry': [Point(0, 0), Point(1, 0), Point(2, 0)]\n",
    "    }\n",
    ")\n",
    "\n",
    "demo_gdf2 = gpd.GeoDataFrame(\n",
    "    {\n",
    "        'name': [f'点要素B{i}' for i in range(3)],\n",
    "        'geometry': [Point(0, 0.5), Point(1, 1), Point(2, 1.5)]\n",
    "    }\n",
    ")\n",
    "\n",
    "(\n",
    "    demo_gdf1\n",
    "    .sjoin(demo_gdf2, predicate='dwithin', distance=1)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06646be9-7dcf-4d55-8f71-3b7b46f134f4",
   "metadata": {},
   "source": [
    "### 2.2.2 配合pd.read_csv指定矢量列类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c824ad41-fb8e-40eb-b620-f2c722e33cfa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.571080Z",
     "iopub.status.busy": "2024-06-25T09:13:34.570079Z",
     "iopub.status.idle": "2024-06-25T09:13:34.583625Z",
     "shell.execute_reply": "2024-06-25T09:13:34.583625Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.571080Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "(\n",
    "    gpd\n",
    "    .GeoDataFrame(\n",
    "        {\n",
    "            'name': [f'点要素A{i}' for i in range(3)],\n",
    "            'geometry': [Point(0, 0), Point(1, 0), Point(2, 0)]\n",
    "        }\n",
    "    )\n",
    "    .to_csv('矢量写出测试.csv', index=False)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4c58679b-feac-4530-b69e-d7c29a90c418",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.585894Z",
     "iopub.status.busy": "2024-06-25T09:13:34.585387Z",
     "iopub.status.idle": "2024-06-25T09:13:34.600431Z",
     "shell.execute_reply": "2024-06-25T09:13:34.598920Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.585894Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name        object\n",
       "geometry    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv('矢量写出测试.csv').dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b31ce062-6acd-45d6-a2df-f0b37654df89",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.601443Z",
     "iopub.status.busy": "2024-06-25T09:13:34.601443Z",
     "iopub.status.idle": "2024-06-25T09:13:34.615443Z",
     "shell.execute_reply": "2024-06-25T09:13:34.614440Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.601443Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name          object\n",
       "geometry    geometry\n",
       "dtype: object"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv('矢量写出测试.csv', dtype={'geometry': 'geometry'}).dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a83c678f-8134-4b6f-b706-c831263b7962",
   "metadata": {},
   "source": [
    "### 2.2.3 to_json()新增参数show_bbox、drop_id、to_wgs84"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "c26f5d2d-36e6-4ee7-9ad2-7142f3fc245f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.616656Z",
     "iopub.status.busy": "2024-06-25T09:13:34.616656Z",
     "iopub.status.idle": "2024-06-25T09:13:34.646305Z",
     "shell.execute_reply": "2024-06-25T09:13:34.646305Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.616656Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"type\": \"FeatureCollection\",\n",
      "    \"features\": [\n",
      "        {\n",
      "            \"type\": \"Feature\",\n",
      "            \"properties\": {\n",
      "                \"name\": \"示例要素\"\n",
      "            },\n",
      "            \"geometry\": {\n",
      "                \"type\": \"Point\",\n",
      "                \"coordinates\": [\n",
      "                    106.0,\n",
      "                    29.0\n",
      "                ]\n",
      "            },\n",
      "            \"bbox\": [\n",
      "                106.0,\n",
      "                29.0,\n",
      "                106.0,\n",
      "                29.0\n",
      "            ]\n",
      "        }\n",
      "    ],\n",
      "    \"bbox\": [\n",
      "        106.0,\n",
      "        29.0,\n",
      "        106.0,\n",
      "        29.0\n",
      "    ],\n",
      "    \"crs\": {\n",
      "        \"type\": \"name\",\n",
      "        \"properties\": {\n",
      "            \"name\": \"urn:ogc:def:crs:EPSG::4524\"\n",
      "        }\n",
      "    }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "demo_gdf = gpd.GeoDataFrame(\n",
    "    {\n",
    "        'name': ['示例要素'],\n",
    "        'geometry': [Point(106, 29)]\n",
    "    },\n",
    "    crs='EPSG:4524'\n",
    ")\n",
    "print(demo_gdf.to_json(\n",
    "    ensure_ascii=False,\n",
    "    indent=4,\n",
    "    show_bbox=True,\n",
    "    drop_id=True,\n",
    "    to_wgs84=False\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6eb1021f-8df2-4f85-bb86-32d554469515",
   "metadata": {},
   "source": [
    "### 2.2.4 空间连接新增参数on_attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b26d697c-42f8-493c-b63d-28f2fcfbebdc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.652845Z",
     "iopub.status.busy": "2024-06-25T09:13:34.651844Z",
     "iopub.status.idle": "2024-06-25T09:13:34.677177Z",
     "shell.execute_reply": "2024-06-25T09:13:34.677177Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.652845Z"
    }
   },
   "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>name_left</th>\n",
       "      <th>group</th>\n",
       "      <th>geometry</th>\n",
       "      <th>index_right</th>\n",
       "      <th>name_right</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>点要素A1</td>\n",
       "      <td>y</td>\n",
       "      <td>POINT (1 0)</td>\n",
       "      <td>1</td>\n",
       "      <td>点要素B1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  name_left group     geometry  index_right name_right\n",
       "1     点要素A1     y  POINT (1 0)            1      点要素B1"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_gdf1 = gpd.GeoDataFrame(\n",
    "    {\n",
    "        'name': [f'点要素A{i}' for i in range(3)],\n",
    "        'group': ['x', 'y', 'z'],\n",
    "        'geometry': [Point(0, 0), Point(1, 0), Point(2, 0)]\n",
    "    }\n",
    ")\n",
    "\n",
    "demo_gdf2 = gpd.GeoDataFrame(\n",
    "    {\n",
    "        'name': [f'点要素B{i}' for i in range(3)],\n",
    "        'group': ['y', 'y', 'z'],\n",
    "        'geometry': [Point(0, 0.5), Point(1, 1), Point(2, 1.5)]\n",
    "    }\n",
    ")\n",
    "\n",
    "(\n",
    "    demo_gdf1\n",
    "    .sjoin(demo_gdf2, predicate='dwithin', distance=1, on_attribute='group')\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6793114d-4f5b-495b-8a72-e9ca16b1f725",
   "metadata": {},
   "source": [
    "## 2.3 标记为废弃的API"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba13d4bf-bf52-4683-a7fb-7426e557893c",
   "metadata": {},
   "source": [
    "- `unary_union`将废弃，更换为`union_all()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "16c42577-ca49-465d-bcba-31656907c449",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.679381Z",
     "iopub.status.busy": "2024-06-25T09:13:34.679381Z",
     "iopub.status.idle": "2024-06-25T09:13:34.694657Z",
     "shell.execute_reply": "2024-06-25T09:13:34.693200Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.679381Z"
    }
   },
   "outputs": [],
   "source": [
    "demo_s = gpd.GeoSeries([Point(i, i) for i in range(5)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3570f90d-9d23-4c16-9821-851ebea3f2d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.695850Z",
     "iopub.status.busy": "2024-06-25T09:13:34.695850Z",
     "iopub.status.idle": "2024-06-25T09:13:34.709421Z",
     "shell.execute_reply": "2024-06-25T09:13:34.709421Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.695850Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\CNFeffery\\AppData\\Local\\Temp\\ipykernel_151120\\1218097510.py:1: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.\n",
      "  demo_s.unary_union\n"
     ]
    },
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.16 -0.16 4.32 4.32\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,4.0)\"><g><circle cx=\"0.0\" cy=\"0.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"1.0\" cy=\"1.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"2.0\" cy=\"2.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"3.0\" cy=\"3.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"4.0\" cy=\"4.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /></g></g></svg>"
      ],
      "text/plain": [
       "<MULTIPOINT ((0 0), (1 1), (2 2), (3 3), (4 4))>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.unary_union"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "bbed0e30-2304-4830-acb8-01e3d65f7e3c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.711954Z",
     "iopub.status.busy": "2024-06-25T09:13:34.711954Z",
     "iopub.status.idle": "2024-06-25T09:13:34.725926Z",
     "shell.execute_reply": "2024-06-25T09:13:34.724927Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.711954Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.16 -0.16 4.32 4.32\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,4.0)\"><g><circle cx=\"0.0\" cy=\"0.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"1.0\" cy=\"1.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"2.0\" cy=\"2.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"3.0\" cy=\"3.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /><circle cx=\"4.0\" cy=\"4.0\" r=\"0.1296\" stroke=\"#555555\" stroke-width=\"0.0432\" fill=\"#66cc99\" opacity=\"0.6\" /></g></g></svg>"
      ],
      "text/plain": [
       "<MULTIPOINT ((0 0), (1 1), (2 2), (3 3), (4 4))>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo_s.union_all()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a914585-c635-421c-97cd-d9abca05e578",
   "metadata": {},
   "source": [
    "- `use_pygeos`将废弃并在`1.1`版本中正式移除"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "828f078d-387b-4889-85ab-d8e35e2765fe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.727905Z",
     "iopub.status.busy": "2024-06-25T09:13:34.727905Z",
     "iopub.status.idle": "2024-06-25T09:13:34.741214Z",
     "shell.execute_reply": "2024-06-25T09:13:34.740104Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.727905Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\CNFeffery\\AppData\\Local\\Temp\\ipykernel_151120\\2305642257.py:1: UserWarning: pygeos support was removed in 1.0. geopandas.use_pygeos is a no-op and will be removed in geopandas 1.1.\n",
      "  gpd.options.use_pygeos = True\n"
     ]
    }
   ],
   "source": [
    "gpd.options.use_pygeos = True"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b9dc989-fa9e-42b8-b30a-2cb9032a0fa3",
   "metadata": {},
   "source": [
    "- `crs`属性赋值以修改坐标系的方式将在未来被禁用，请统一使用`set_crs()`代替"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "d96ad49c-9a12-45a5-a197-c09e6d0c84a1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.743319Z",
     "iopub.status.busy": "2024-06-25T09:13:34.743319Z",
     "iopub.status.idle": "2024-06-25T09:13:34.757410Z",
     "shell.execute_reply": "2024-06-25T09:13:34.756270Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.743319Z"
    }
   },
   "outputs": [],
   "source": [
    "demo_gdf = gpd.GeoDataFrame(geometry=[Point(0, 0)], crs='EPSG:4326')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "1b21e157-f5ae-4342-ab39-f4940beff96d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.760425Z",
     "iopub.status.busy": "2024-06-25T09:13:34.759429Z",
     "iopub.status.idle": "2024-06-25T09:13:34.772622Z",
     "shell.execute_reply": "2024-06-25T09:13:34.771621Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.760425Z"
    }
   },
   "outputs": [],
   "source": [
    "# 不推荐的方式\n",
    "demo_gdf.crs = 'EPSG:4524'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "dda3b726-ed2e-4a20-bf7d-43a3915a11f9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-25T09:13:34.775628Z",
     "iopub.status.busy": "2024-06-25T09:13:34.774627Z",
     "iopub.status.idle": "2024-06-25T09:13:34.788555Z",
     "shell.execute_reply": "2024-06-25T09:13:34.787554Z",
     "shell.execute_reply.started": "2024-06-25T09:13:34.775628Z"
    }
   },
   "outputs": [],
   "source": [
    "# 推荐的方式\n",
    "demo_gdf.set_crs('EPSG:4524', inplace=True);"
   ]
  }
 ],
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