diff --git "a/testing_pipeline.ipynb" "b/testing_pipeline.ipynb" --- "a/testing_pipeline.ipynb" +++ "b/testing_pipeline.ipynb" @@ -4,7 +4,48 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.1.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n 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handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n", + "application/vnd.holoviews_load.v0+json": "" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import pipeline\n", "import settings\n", @@ -12,6 +53,12 @@ "import pandas as pd\n", "import datetime as dt\n", "import api\n", + "import table_schema as ts\n", + "import db_operation as db\n", + "import numpy as np\n", + "import utils\n", + "import hvplot.pandas # noqa\n", + "pd.options.plotting.backend = 'holoviews'\n", "db_url = 'sqlite:///instance/local.db'" ] }, @@ -19,53 +66,42 @@ "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "auth success \n" - ] - } - ], + "outputs": [], "source": [ - "pipeline.update_stocks_details_to_db()" + "%load_ext autoreload\n", + "%autoreload 2" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "%load_ext autoreload\n", - "%autoreload 2" + "pipeline.left_fill_benchmark_profile()" ] }, { "cell_type": "code", - "execution_count": 147, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ - "## calculate weight for benchmark and portfolio \n", - "with create_engine(db_url).connect() as conn:\n", - " p_profile = pd.read_sql('portfolio_profile', con=conn)\n", - " b_profile = pd.read_sql('benchmark_profile', con=conn)" + "pipeline.right_fill_bechmark_profile()" ] }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ - "date = dt.datetime(2023, 8, 2, 15, 0,0)\n" + "benchmark_df = db.get_all_benchmark_profile()\n" ] }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -89,73 +125,628 @@ " \n", " \n", " \n", - " time\n", + " date\n", + " weight\n", + " display_name\n", " ticker\n", - " open\n", - " close\n", - " high\n", - " low\n", - " volume\n", - " money\n", + " sector\n", + " aggregate_sector\n", + " name\n", " \n", " \n", " \n", " \n", " 0\n", - " 2023-08-02 15:00:00\n", - " 603288.XSHG\n", - " 45.85\n", - " 45.85\n", - " 45.85\n", - " 45.85\n", - " 156700.0\n", - " 7184695.0\n", + " 2023-07-31\n", + " 0.345\n", + " 中国宝安\n", + " 000009.XSHE\n", + " 电气设备I 电池II 电池化学品III 综合 工业集团企业 工业\n", + " 工业\n", + " ZGBA\n", + " \n", + " \n", + " 1\n", + " 2023-07-31\n", + " 0.122\n", + " 南玻A\n", + " 000012.XSHE\n", + " 建筑材料I 玻璃制造II 玻璃制造III 非金属矿物制品业 玻璃 原材料\n", + " 原料与能源\n", + " NBA\n", + " \n", + " \n", + " 2\n", + " 2023-07-31\n", + " 0.264\n", + " 深科技\n", + " 000021.XSHE\n", + " 电子I 电子制造II 消费电子零部件及组装III 计算机、通信和其他电子设备制造业 安防设备...\n", + " 信息与通信\n", + " SKJ\n", + " \n", + " \n", + " 3\n", + " 2023-07-31\n", + " 0.060\n", + " 招商港口\n", + " 001872.XSHE\n", + " 交通运输I 航运港口II 港口III 水上运输业 港口 工业\n", + " 工业\n", + " ZSGK\n", + " \n", + " \n", + " 4\n", + " 2023-07-31\n", + " 0.142\n", + " 深圳能源\n", + " 000027.XSHE\n", + " 公用事业I 电力II 火电III 电力、热力生产和供应业 火电 公用事业\n", + " 公用事业\n", + " SZNY\n", + " \n", + " \n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " \n", + " \n", + " 495\n", + " 2023-07-31\n", + " 0.085\n", + " 天岳先进\n", + " 688234.XSHG\n", + " 电子I 半导体II 半导体材料III 计算机、通信和其他电子设备制造业 半导体材料 信息技术\n", + " 信息与通信\n", + " TYXJ\n", + " \n", + " \n", + " 496\n", + " 2023-07-31\n", + " 0.041\n", + " 南网科技\n", + " 688248.XSHG\n", + " 电气设备I 电网设备II 电网自动化III 专业技术服务业 电网自动化 工业\n", + " 工业\n", + " NWKJ\n", + " \n", + " \n", + " 497\n", + " 2023-07-31\n", + " 0.040\n", + " 中复神鹰\n", + " 688295.XSHG\n", + " 化工I 化学纤维II 其他纤维III 化学纤维制造业 氨纶及其他化纤 原材料\n", + " 原料与能源\n", + " ZFSY\n", + " \n", + " \n", + " 498\n", + " 2023-07-31\n", + " 0.182\n", + " 拓荆科技\n", + " 688072.XSHG\n", + " 电子I 半导体II 半导体设备III 专用设备制造业 半导体设备 信息技术\n", + " 信息与通信\n", + " TJKJ\n", + " \n", + " \n", + " 499\n", + " 2023-07-31\n", + " 0.078\n", + " 首创证券\n", + " 601136.XSHG\n", + " 非银金融I 证券II 证券III 资本市场服务 证券公司 金融\n", + " 金融与地产\n", + " SCZQ\n", " \n", " \n", "\n", + "

500 rows × 7 columns

\n", "" ], "text/plain": [ - " time ticker open close high low volume \\\n", - "0 2023-08-02 15:00:00 603288.XSHG 45.85 45.85 45.85 45.85 156700.0 \n", + " date weight display_name ticker \\\n", + "0 2023-07-31 0.345 中国宝安 000009.XSHE \n", + "1 2023-07-31 0.122 南玻A 000012.XSHE \n", + "2 2023-07-31 0.264 深科技 000021.XSHE \n", + "3 2023-07-31 0.060 招商港口 001872.XSHE \n", + "4 2023-07-31 0.142 深圳能源 000027.XSHE \n", + ".. ... ... ... ... \n", + "495 2023-07-31 0.085 天岳先进 688234.XSHG \n", + "496 2023-07-31 0.041 南网科技 688248.XSHG \n", + "497 2023-07-31 0.040 中复神鹰 688295.XSHG \n", + "498 2023-07-31 0.182 拓荆科技 688072.XSHG \n", + "499 2023-07-31 0.078 首创证券 601136.XSHG \n", + "\n", + " sector aggregate_sector name \n", + "0 电气设备I 电池II 电���化学品III 综合 工业集团企业 工业 工业 ZGBA \n", + "1 建筑材料I 玻璃制造II 玻璃制造III 非金属矿物制品业 玻璃 原材料 原料与能源 NBA \n", + "2 电子I 电子制造II 消费电子零部件及组装III 计算机、通信和其他电子设备制造业 安防设备... 信息与通信 SKJ \n", + "3 交通运输I 航运港口II 港口III 水上运输业 港口 工业 工业 ZSGK \n", + "4 公用事业I 电力II 火电III 电力、热力生产和供应业 火电 公用事业 公用事业 SZNY \n", + ".. ... ... ... \n", + "495 电子I 半导体II 半导体材料III 计算机、通信和其他电子设备制造业 半导体材料 信息技术 信息与通信 TYXJ \n", + "496 电气设备I 电网设备II 电网自动化III 专业技术服务业 电网自动化 工业 工业 NWKJ \n", + "497 化工I 化学纤维II 其他纤维III 化学纤维制造业 氨纶及其他化纤 原材料 原料与能源 ZFSY \n", + "498 电子I 半导体II 半导体设备III 专用设备制造业 半导体设备 信息技术 信息与通信 TJKJ \n", + "499 非银金融I 证券II 证券III 资本市场服务 证券公司 金融 金融与地产 SCZQ \n", "\n", - " money \n", - "0 7184695.0 " + "[500 rows x 7 columns]" ] }, - "execution_count": 168, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "api.fetch_stocks_price(security=['603288.XSHG'],end_date=date,count=1, frequency='minute')" + "benchmark_df" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[15], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m benchmark_df\u001b[39m.\u001b[39mhvplot\u001b[39m.\u001b[39mline(x\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mdate\u001b[39m\u001b[39m'\u001b[39m,y\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mweight\u001b[39m\u001b[39m'\u001b[39m,by\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mticker\u001b[39m\u001b[39m'\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/displayhook.py:268\u001b[0m, in \u001b[0;36mDisplayHook.__call__\u001b[0;34m(self, result)\u001b[0m\n\u001b[1;32m 266\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstart_displayhook()\n\u001b[1;32m 267\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mwrite_output_prompt()\n\u001b[0;32m--> 268\u001b[0m format_dict, md_dict \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcompute_format_data(result)\n\u001b[1;32m 269\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mupdate_user_ns(result)\n\u001b[1;32m 270\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfill_exec_result(result)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/displayhook.py:157\u001b[0m, in \u001b[0;36mDisplayHook.compute_format_data\u001b[0;34m(self, result)\u001b[0m\n\u001b[1;32m 127\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcompute_format_data\u001b[39m(\u001b[39mself\u001b[39m, result):\n\u001b[1;32m 128\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"Compute format data of the object to be displayed.\u001b[39;00m\n\u001b[1;32m 129\u001b[0m \n\u001b[1;32m 130\u001b[0m \u001b[39m The format data is a generalization of the :func:`repr` of an object.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 155\u001b[0m \n\u001b[1;32m 156\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 157\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mshell\u001b[39m.\u001b[39;49mdisplay_formatter\u001b[39m.\u001b[39;49mformat(result)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/formatters.py:149\u001b[0m, in \u001b[0;36mDisplayFormatter.format\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m 145\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mipython_display_formatter(obj):\n\u001b[1;32m 146\u001b[0m \u001b[39m# object handled itself, don't proceed\u001b[39;00m\n\u001b[1;32m 147\u001b[0m \u001b[39mreturn\u001b[39;00m {}, {}\n\u001b[0;32m--> 149\u001b[0m format_dict, md_dict \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mmimebundle_formatter(obj, include\u001b[39m=\u001b[39;49minclude, exclude\u001b[39m=\u001b[39;49mexclude)\n\u001b[1;32m 151\u001b[0m \u001b[39mif\u001b[39;00m format_dict \u001b[39mor\u001b[39;00m md_dict:\n\u001b[1;32m 152\u001b[0m \u001b[39mif\u001b[39;00m include:\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/decorator.py:232\u001b[0m, in \u001b[0;36mdecorate..fun\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m 230\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m kwsyntax:\n\u001b[1;32m 231\u001b[0m args, kw \u001b[39m=\u001b[39m fix(args, kw, sig)\n\u001b[0;32m--> 232\u001b[0m \u001b[39mreturn\u001b[39;00m caller(func, \u001b[39m*\u001b[39;49m(extras \u001b[39m+\u001b[39;49m args), \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkw)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/formatters.py:223\u001b[0m, in \u001b[0;36mcatch_format_error\u001b[0;34m(method, self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 221\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"show traceback on failed format call\"\"\"\u001b[39;00m\n\u001b[1;32m 222\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 223\u001b[0m r \u001b[39m=\u001b[39m method(\u001b[39mself\u001b[39;49m, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 224\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m:\n\u001b[1;32m 225\u001b[0m \u001b[39m# don't warn on NotImplementedErrors\u001b[39;00m\n\u001b[1;32m 226\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_return(\u001b[39mNone\u001b[39;00m, args[\u001b[39m0\u001b[39m])\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/formatters.py:974\u001b[0m, in \u001b[0;36mMimeBundleFormatter.__call__\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m 971\u001b[0m method \u001b[39m=\u001b[39m get_real_method(obj, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprint_method)\n\u001b[1;32m 973\u001b[0m \u001b[39mif\u001b[39;00m method \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 974\u001b[0m \u001b[39mreturn\u001b[39;00m method(include\u001b[39m=\u001b[39;49minclude, exclude\u001b[39m=\u001b[39;49mexclude)\n\u001b[1;32m 975\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m 976\u001b[0m \u001b[39melse\u001b[39;00m:\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/core/dimension.py:1290\u001b[0m, in \u001b[0;36mDimensioned._repr_mimebundle_\u001b[0;34m(self, include, exclude)\u001b[0m\n\u001b[1;32m 1283\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_repr_mimebundle_\u001b[39m(\u001b[39mself\u001b[39m, include\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, exclude\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m 1284\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 1285\u001b[0m \u001b[39m Resolves the class hierarchy for the class rendering the\u001b[39;00m\n\u001b[1;32m 1286\u001b[0m \u001b[39m object using any display hooks registered on Store.display\u001b[39;00m\n\u001b[1;32m 1287\u001b[0m \u001b[39m hooks. The output of all registered display_hooks is then\u001b[39;00m\n\u001b[1;32m 1288\u001b[0m \u001b[39m combined and returned.\u001b[39;00m\n\u001b[1;32m 1289\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1290\u001b[0m \u001b[39mreturn\u001b[39;00m Store\u001b[39m.\u001b[39;49mrender(\u001b[39mself\u001b[39;49m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/core/options.py:1425\u001b[0m, in \u001b[0;36mStore.render\u001b[0;34m(cls, obj)\u001b[0m\n\u001b[1;32m 1423\u001b[0m data, metadata \u001b[39m=\u001b[39m {}, {}\n\u001b[1;32m 1424\u001b[0m \u001b[39mfor\u001b[39;00m hook \u001b[39min\u001b[39;00m hooks:\n\u001b[0;32m-> 1425\u001b[0m ret \u001b[39m=\u001b[39m hook(obj)\n\u001b[1;32m 1426\u001b[0m \u001b[39mif\u001b[39;00m ret \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 1427\u001b[0m \u001b[39mcontinue\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:280\u001b[0m, in \u001b[0;36mpprint_display\u001b[0;34m(obj)\u001b[0m\n\u001b[1;32m 278\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m ip\u001b[39m.\u001b[39mdisplay_formatter\u001b[39m.\u001b[39mformatters[\u001b[39m'\u001b[39m\u001b[39mtext/plain\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39mpprint:\n\u001b[1;32m 279\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m--> 280\u001b[0m \u001b[39mreturn\u001b[39;00m display(obj, raw_output\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:248\u001b[0m, in \u001b[0;36mdisplay\u001b[0;34m(obj, raw_output, **kwargs)\u001b[0m\n\u001b[1;32m 246\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, (CompositeOverlay, ViewableElement)):\n\u001b[1;32m 247\u001b[0m \u001b[39mwith\u001b[39;00m option_state(obj):\n\u001b[0;32m--> 248\u001b[0m output \u001b[39m=\u001b[39m element_display(obj)\n\u001b[1;32m 249\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, (Layout, NdLayout, AdjointLayout)):\n\u001b[1;32m 250\u001b[0m \u001b[39mwith\u001b[39;00m option_state(obj):\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:142\u001b[0m, in \u001b[0;36mdisplay_hook..wrapped\u001b[0;34m(element)\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m 141\u001b[0m max_frames \u001b[39m=\u001b[39m OutputSettings\u001b[39m.\u001b[39moptions[\u001b[39m'\u001b[39m\u001b[39mmax_frames\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[0;32m--> 142\u001b[0m mimebundle \u001b[39m=\u001b[39m fn(element, max_frames\u001b[39m=\u001b[39;49mmax_frames)\n\u001b[1;32m 143\u001b[0m \u001b[39mif\u001b[39;00m mimebundle \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 144\u001b[0m \u001b[39mreturn\u001b[39;00m {}, {}\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:188\u001b[0m, in \u001b[0;36melement_display\u001b[0;34m(element, max_frames)\u001b[0m\n\u001b[1;32m 185\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mtype\u001b[39m(element) \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m Store\u001b[39m.\u001b[39mregistry[backend]:\n\u001b[1;32m 186\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m--> 188\u001b[0m \u001b[39mreturn\u001b[39;00m render(element)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:69\u001b[0m, in \u001b[0;36mrender\u001b[0;34m(obj, **kwargs)\u001b[0m\n\u001b[1;32m 66\u001b[0m \u001b[39mif\u001b[39;00m renderer\u001b[39m.\u001b[39mfig \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mpdf\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[1;32m 67\u001b[0m renderer \u001b[39m=\u001b[39m renderer\u001b[39m.\u001b[39minstance(fig\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mpng\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m---> 69\u001b[0m \u001b[39mreturn\u001b[39;00m renderer\u001b[39m.\u001b[39;49mcomponents(obj, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/plotting/renderer.py:399\u001b[0m, in \u001b[0;36mRenderer.components\u001b[0;34m(self, obj, fmt, comm, **kwargs)\u001b[0m\n\u001b[1;32m 396\u001b[0m embed \u001b[39m=\u001b[39m (\u001b[39mnot\u001b[39;00m (dynamic \u001b[39mor\u001b[39;00m streams \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mwidget_mode \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mlive\u001b[39m\u001b[39m'\u001b[39m) \u001b[39mor\u001b[39;00m config\u001b[39m.\u001b[39membed)\n\u001b[1;32m 398\u001b[0m \u001b[39mif\u001b[39;00m embed \u001b[39mor\u001b[39;00m config\u001b[39m.\u001b[39mcomms \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mdefault\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[0;32m--> 399\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_render_panel(plot, embed, comm)\n\u001b[1;32m 400\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_render_ipywidget(plot)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/plotting/renderer.py:408\u001b[0m, in \u001b[0;36mRenderer._render_panel\u001b[0;34m(self, plot, embed, comm)\u001b[0m\n\u001b[1;32m 406\u001b[0m model \u001b[39m=\u001b[39m plot\u001b[39m.\u001b[39mlayout\u001b[39m.\u001b[39m_render_model(doc, comm)\n\u001b[1;32m 407\u001b[0m \u001b[39mif\u001b[39;00m embed:\n\u001b[0;32m--> 408\u001b[0m \u001b[39mreturn\u001b[39;00m render_model(model, comm)\n\u001b[1;32m 409\u001b[0m ref \u001b[39m=\u001b[39m model\u001b[39m.\u001b[39mref[\u001b[39m'\u001b[39m\u001b[39mid\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[1;32m 410\u001b[0m manager \u001b[39m=\u001b[39m PnCommManager(comm_id\u001b[39m=\u001b[39mcomm\u001b[39m.\u001b[39mid, plot_id\u001b[39m=\u001b[39mref)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/panel/io/notebook.py:178\u001b[0m, in \u001b[0;36mrender_model\u001b[0;34m(model, comm, resources)\u001b[0m\n\u001b[1;32m 175\u001b[0m patch_model_css(model, dist_url\u001b[39m=\u001b[39mdist_url)\n\u001b[1;32m 176\u001b[0m model\u001b[39m.\u001b[39mdocument\u001b[39m.\u001b[39m_template_variables[\u001b[39m'\u001b[39m\u001b[39mdist_url\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m dist_url\n\u001b[0;32m--> 178\u001b[0m (docs_json, [render_item]) \u001b[39m=\u001b[39m standalone_docs_json_and_render_items([model], suppress_callback_warning\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n\u001b[1;32m 179\u001b[0m div \u001b[39m=\u001b[39m div_for_render_item(render_item)\n\u001b[1;32m 180\u001b[0m render_json \u001b[39m=\u001b[39m render_item\u001b[39m.\u001b[39mto_json()\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/embed/util.py:330\u001b[0m, in \u001b[0;36mstandalone_docs_json_and_render_items\u001b[0;34m(models, suppress_callback_warning)\u001b[0m\n\u001b[1;32m 328\u001b[0m docs_json: \u001b[39mdict\u001b[39m[ID, DocJson] \u001b[39m=\u001b[39m {}\n\u001b[1;32m 329\u001b[0m \u001b[39mfor\u001b[39;00m doc, (docid, _) \u001b[39min\u001b[39;00m docs\u001b[39m.\u001b[39mitems():\n\u001b[0;32m--> 330\u001b[0m docs_json[docid] \u001b[39m=\u001b[39m doc\u001b[39m.\u001b[39;49mto_json(deferred\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m)\n\u001b[1;32m 332\u001b[0m render_items: \u001b[39mlist\u001b[39m[RenderItem] \u001b[39m=\u001b[39m []\n\u001b[1;32m 333\u001b[0m \u001b[39mfor\u001b[39;00m _, (docid, roots) \u001b[39min\u001b[39;00m docs\u001b[39m.\u001b[39mitems():\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/document/document.py:737\u001b[0m, in \u001b[0;36mDocument.to_json\u001b[0;34m(self, deferred)\u001b[0m\n\u001b[1;32m 735\u001b[0m serializer \u001b[39m=\u001b[39m Serializer(deferred\u001b[39m=\u001b[39mdeferred)\n\u001b[1;32m 736\u001b[0m defs \u001b[39m=\u001b[39m serializer\u001b[39m.\u001b[39mencode(data_models)\n\u001b[0;32m--> 737\u001b[0m roots \u001b[39m=\u001b[39m serializer\u001b[39m.\u001b[39;49mencode(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_roots)\n\u001b[1;32m 738\u001b[0m callbacks \u001b[39m=\u001b[39m serializer\u001b[39m.\u001b[39mencode(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcallbacks\u001b[39m.\u001b[39m_js_event_callbacks)\n\u001b[1;32m 740\u001b[0m doc_json \u001b[39m=\u001b[39m DocJson(\n\u001b[1;32m 741\u001b[0m version\u001b[39m=\u001b[39m__version__,\n\u001b[1;32m 742\u001b[0m title\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtitle,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 745\u001b[0m callbacks\u001b[39m=\u001b[39mcallbacks,\n\u001b[1;32m 746\u001b[0m )\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m 251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m 253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 254\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:277\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 275\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_tuple(obj)\n\u001b[1;32m 276\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mlist\u001b[39m):\n\u001b[0;32m--> 277\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode_list(obj)\n\u001b[1;32m 278\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mset\u001b[39m):\n\u001b[1;32m 279\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_set(obj)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36mSerializer._encode_list\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;49;00m item \u001b[39min\u001b[39;49;00m obj]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;00m item \u001b[39min\u001b[39;00m obj]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m 251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m 253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 254\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:261\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode\u001b[39m(\u001b[39mself\u001b[39m, obj: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m AnyRep:\n\u001b[1;32m 260\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, Serializable):\n\u001b[0;32m--> 261\u001b[0m \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39;49mto_serializable(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m 262\u001b[0m \u001b[39melif\u001b[39;00m (encoder \u001b[39m:=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encoders\u001b[39m.\u001b[39mget(\u001b[39mtype\u001b[39m(obj))) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 263\u001b[0m \u001b[39mreturn\u001b[39;00m encoder(obj, \u001b[39mself\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/model/model.py:525\u001b[0m, in \u001b[0;36mModel.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m 522\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRefRep:\n\u001b[1;32m 523\u001b[0m serializer\u001b[39m.\u001b[39madd_ref(\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mref)\n\u001b[0;32m--> 525\u001b[0m super_rep \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mto_serializable(serializer)\n\u001b[1;32m 526\u001b[0m rep \u001b[39m=\u001b[39m ObjectRefRep(\n\u001b[1;32m 527\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 528\u001b[0m name\u001b[39m=\u001b[39msuper_rep[\u001b[39m\"\u001b[39m\u001b[39mname\u001b[39m\u001b[39m\"\u001b[39m],\n\u001b[1;32m 529\u001b[0m \u001b[39mid\u001b[39m\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mid,\n\u001b[1;32m 530\u001b[0m )\n\u001b[1;32m 532\u001b[0m attributes \u001b[39m=\u001b[39m super_rep\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36mHasProps.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m 400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m 401\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 402\u001b[0m name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m 403\u001b[0m )\n\u001b[1;32m 405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;49;00m key, val \u001b[39min\u001b[39;49;00m properties\u001b[39m.\u001b[39;49mitems()}\n\u001b[1;32m 408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m 409\u001b[0m rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m 401\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 402\u001b[0m name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m 403\u001b[0m )\n\u001b[1;32m 405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;00m key, val \u001b[39min\u001b[39;00m properties\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m 408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m 409\u001b[0m rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m 251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m 253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 254\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:277\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 275\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_tuple(obj)\n\u001b[1;32m 276\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mlist\u001b[39m):\n\u001b[0;32m--> 277\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode_list(obj)\n\u001b[1;32m 278\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mset\u001b[39m):\n\u001b[1;32m 279\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_set(obj)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36mSerializer._encode_list\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;49;00m item \u001b[39min\u001b[39;49;00m obj]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;00m item \u001b[39min\u001b[39;00m obj]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m 251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m 253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 254\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:261\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode\u001b[39m(\u001b[39mself\u001b[39m, obj: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m AnyRep:\n\u001b[1;32m 260\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, Serializable):\n\u001b[0;32m--> 261\u001b[0m \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39;49mto_serializable(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m 262\u001b[0m \u001b[39melif\u001b[39;00m (encoder \u001b[39m:=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encoders\u001b[39m.\u001b[39mget(\u001b[39mtype\u001b[39m(obj))) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 263\u001b[0m \u001b[39mreturn\u001b[39;00m encoder(obj, \u001b[39mself\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/model/model.py:525\u001b[0m, in \u001b[0;36mModel.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m 522\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRefRep:\n\u001b[1;32m 523\u001b[0m serializer\u001b[39m.\u001b[39madd_ref(\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mref)\n\u001b[0;32m--> 525\u001b[0m super_rep \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mto_serializable(serializer)\n\u001b[1;32m 526\u001b[0m rep \u001b[39m=\u001b[39m ObjectRefRep(\n\u001b[1;32m 527\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 528\u001b[0m name\u001b[39m=\u001b[39msuper_rep[\u001b[39m\"\u001b[39m\u001b[39mname\u001b[39m\u001b[39m\"\u001b[39m],\n\u001b[1;32m 529\u001b[0m \u001b[39mid\u001b[39m\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mid,\n\u001b[1;32m 530\u001b[0m )\n\u001b[1;32m 532\u001b[0m attributes \u001b[39m=\u001b[39m super_rep\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36mHasProps.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m 400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m 401\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 402\u001b[0m name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m 403\u001b[0m )\n\u001b[1;32m 405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;49;00m key, val \u001b[39min\u001b[39;49;00m properties\u001b[39m.\u001b[39;49mitems()}\n\u001b[1;32m 408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m 409\u001b[0m rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m 401\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 402\u001b[0m name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m 403\u001b[0m )\n\u001b[1;32m 405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;00m key, val \u001b[39min\u001b[39;00m properties\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m 408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m 409\u001b[0m rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m 251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m 253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 254\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:277\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 275\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_tuple(obj)\n\u001b[1;32m 276\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mlist\u001b[39m):\n\u001b[0;32m--> 277\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode_list(obj)\n\u001b[1;32m 278\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mset\u001b[39m):\n\u001b[1;32m 279\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_set(obj)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36mSerializer._encode_list\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;49;00m item \u001b[39min\u001b[39;49;00m obj]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;00m item \u001b[39min\u001b[39;00m obj]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m 251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m 253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 254\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:261\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode\u001b[39m(\u001b[39mself\u001b[39m, obj: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m AnyRep:\n\u001b[1;32m 260\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, Serializable):\n\u001b[0;32m--> 261\u001b[0m \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39;49mto_serializable(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m 262\u001b[0m \u001b[39melif\u001b[39;00m (encoder \u001b[39m:=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encoders\u001b[39m.\u001b[39mget(\u001b[39mtype\u001b[39m(obj))) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 263\u001b[0m \u001b[39mreturn\u001b[39;00m encoder(obj, \u001b[39mself\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/model/model.py:525\u001b[0m, in \u001b[0;36mModel.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m 522\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRefRep:\n\u001b[1;32m 523\u001b[0m serializer\u001b[39m.\u001b[39madd_ref(\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mref)\n\u001b[0;32m--> 525\u001b[0m super_rep \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mto_serializable(serializer)\n\u001b[1;32m 526\u001b[0m rep \u001b[39m=\u001b[39m ObjectRefRep(\n\u001b[1;32m 527\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 528\u001b[0m name\u001b[39m=\u001b[39msuper_rep[\u001b[39m\"\u001b[39m\u001b[39mname\u001b[39m\u001b[39m\"\u001b[39m],\n\u001b[1;32m 529\u001b[0m \u001b[39mid\u001b[39m\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mid,\n\u001b[1;32m 530\u001b[0m )\n\u001b[1;32m 532\u001b[0m attributes \u001b[39m=\u001b[39m super_rep\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36mHasProps.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m 400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m 401\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 402\u001b[0m name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m 403\u001b[0m )\n\u001b[1;32m 405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;49;00m key, val \u001b[39min\u001b[39;49;00m properties\u001b[39m.\u001b[39;49mitems()}\n\u001b[1;32m 408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m 409\u001b[0m rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m 401\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 402\u001b[0m name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m 403\u001b[0m )\n\u001b[1;32m 405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;00m key, val \u001b[39min\u001b[39;00m properties\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m 408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m 409\u001b[0m rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m 251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m 253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 254\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:277\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 275\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_tuple(obj)\n\u001b[1;32m 276\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mlist\u001b[39m):\n\u001b[0;32m--> 277\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode_list(obj)\n\u001b[1;32m 278\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mset\u001b[39m):\n\u001b[1;32m 279\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_set(obj)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36mSerializer._encode_list\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;49;00m item \u001b[39min\u001b[39;49;00m obj]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;00m item \u001b[39min\u001b[39;00m obj]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m 251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m 253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m 254\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:261\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode\u001b[39m(\u001b[39mself\u001b[39m, obj: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m AnyRep:\n\u001b[1;32m 260\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, Serializable):\n\u001b[0;32m--> 261\u001b[0m \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39;49mto_serializable(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m 262\u001b[0m \u001b[39melif\u001b[39;00m (encoder \u001b[39m:=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encoders\u001b[39m.\u001b[39mget(\u001b[39mtype\u001b[39m(obj))) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 263\u001b[0m \u001b[39mreturn\u001b[39;00m encoder(obj, \u001b[39mself\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/model/model.py:525\u001b[0m, in \u001b[0;36mModel.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m 522\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRefRep:\n\u001b[1;32m 523\u001b[0m serializer\u001b[39m.\u001b[39madd_ref(\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mref)\n\u001b[0;32m--> 525\u001b[0m super_rep \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mto_serializable(serializer)\n\u001b[1;32m 526\u001b[0m rep \u001b[39m=\u001b[39m ObjectRefRep(\n\u001b[1;32m 527\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 528\u001b[0m name\u001b[39m=\u001b[39msuper_rep[\u001b[39m\"\u001b[39m\u001b[39mname\u001b[39m\u001b[39m\"\u001b[39m],\n\u001b[1;32m 529\u001b[0m \u001b[39mid\u001b[39m\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mid,\n\u001b[1;32m 530\u001b[0m )\n\u001b[1;32m 532\u001b[0m attributes \u001b[39m=\u001b[39m super_rep\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:405\u001b[0m, in \u001b[0;36mHasProps.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m 399\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRep:\n\u001b[1;32m 400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m 401\u001b[0m \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 402\u001b[0m name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m 403\u001b[0m )\n\u001b[0;32m--> 405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mproperties_with_values(include_defaults\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m)\n\u001b[1;32m 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39mencode(val) \u001b[39mfor\u001b[39;00m key, val \u001b[39min\u001b[39;00m properties\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m 408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:592\u001b[0m, in \u001b[0;36mHasProps.properties_with_values\u001b[0;34m(self, include_defaults, include_undefined)\u001b[0m\n\u001b[1;32m 571\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mproperties_with_values\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39m*\u001b[39m, include_defaults: \u001b[39mbool\u001b[39m \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m, include_undefined: \u001b[39mbool\u001b[39m \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mdict\u001b[39m[\u001b[39mstr\u001b[39m, Any]:\n\u001b[1;32m 572\u001b[0m \u001b[39m \u001b[39m\u001b[39m''' Collect a dict mapping property names to their values.\u001b[39;00m\n\u001b[1;32m 573\u001b[0m \n\u001b[1;32m 574\u001b[0m \u001b[39m This method *always* traverses the class hierarchy and includes\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 590\u001b[0m \n\u001b[1;32m 591\u001b[0m \u001b[39m '''\u001b[39;00m\n\u001b[0;32m--> 592\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mquery_properties_with_values(\u001b[39mlambda\u001b[39;49;00m prop: prop\u001b[39m.\u001b[39;49mserialized,\n\u001b[1;32m 593\u001b[0m include_defaults\u001b[39m=\u001b[39;49minclude_defaults, include_undefined\u001b[39m=\u001b[39;49minclude_undefined)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:649\u001b[0m, in \u001b[0;36mHasProps.query_properties_with_values\u001b[0;34m(self, query, include_defaults, include_undefined)\u001b[0m\n\u001b[1;32m 646\u001b[0m \u001b[39mcontinue\u001b[39;00m\n\u001b[1;32m 648\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 649\u001b[0m value \u001b[39m=\u001b[39m descriptor\u001b[39m.\u001b[39;49mget_value(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m 650\u001b[0m \u001b[39mexcept\u001b[39;00m UnsetValueError:\n\u001b[1;32m 651\u001b[0m \u001b[39mif\u001b[39;00m include_undefined:\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:395\u001b[0m, in \u001b[0;36mPropertyDescriptor.get_value\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 381\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mget_value\u001b[39m(\u001b[39mself\u001b[39m, obj: HasProps) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Any:\n\u001b[1;32m 382\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\" Produce the value used for serialization.\u001b[39;00m\n\u001b[1;32m 383\u001b[0m \n\u001b[1;32m 384\u001b[0m \u001b[39m Sometimes it is desirable for the serialized value to differ from\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 393\u001b[0m \n\u001b[1;32m 394\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 395\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m\u001b[39m__get__\u001b[39;49m(obj, obj\u001b[39m.\u001b[39;49m\u001b[39m__class__\u001b[39;49m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:281\u001b[0m, in \u001b[0;36mPropertyDescriptor.__get__\u001b[0;34m(self, obj, owner)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\" Implement the getter for the Python `descriptor protocol`_.\u001b[39;00m\n\u001b[1;32m 248\u001b[0m \n\u001b[1;32m 249\u001b[0m \u001b[39mFor instance attribute access, we delegate to the |Property|. For\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 278\u001b[0m \n\u001b[1;32m 279\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 280\u001b[0m \u001b[39mif\u001b[39;00m obj \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 281\u001b[0m value \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get(obj)\n\u001b[1;32m 282\u001b[0m \u001b[39mif\u001b[39;00m value \u001b[39mis\u001b[39;00m Undefined:\n\u001b[1;32m 283\u001b[0m \u001b[39mraise\u001b[39;00m UnsetValueError(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00mobj\u001b[39m}\u001b[39;00m\u001b[39m.\u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname\u001b[39m}\u001b[39;00m\u001b[39m doesn\u001b[39m\u001b[39m'\u001b[39m\u001b[39mt have a value set\u001b[39m\u001b[39m\"\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:515\u001b[0m, in \u001b[0;36mPropertyDescriptor._get\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 512\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mRuntimeError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mCannot get a property value \u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname\u001b[39m!r}\u001b[39;00m\u001b[39m from a \u001b[39m\u001b[39m{\u001b[39;00mclass_name\u001b[39m}\u001b[39;00m\u001b[39m instance before HasProps.__init__\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 514\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m obj\u001b[39m.\u001b[39m_property_values:\n\u001b[0;32m--> 515\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_default(obj)\n\u001b[1;32m 516\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 517\u001b[0m \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39m_property_values[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname]\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:540\u001b[0m, in \u001b[0;36mPropertyDescriptor._get_default\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 537\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname \u001b[39min\u001b[39;00m unstable_dict:\n\u001b[1;32m 538\u001b[0m \u001b[39mreturn\u001b[39;00m unstable_dict[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname]\n\u001b[0;32m--> 540\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mhas_unstable_default(obj):\n\u001b[1;32m 541\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(default, PropertyValueContainer):\n\u001b[1;32m 542\u001b[0m default\u001b[39m.\u001b[39m_register_owner(obj, \u001b[39mself\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:484\u001b[0m, in \u001b[0;36mPropertyDescriptor.has_unstable_default\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 481\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mhas_unstable_default\u001b[39m(\u001b[39mself\u001b[39m, obj: HasProps) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mbool\u001b[39m:\n\u001b[1;32m 482\u001b[0m \u001b[39m# _may_have_unstable_default() doesn't have access to overrides, so check manually\u001b[39;00m\n\u001b[1;32m 483\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperty\u001b[39m.\u001b[39m_may_have_unstable_default() \u001b[39mor\u001b[39;00m \\\n\u001b[0;32m--> 484\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mis_unstable(obj\u001b[39m.\u001b[39;49m__overridden_defaults__\u001b[39m.\u001b[39;49mget(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mname, \u001b[39mNone\u001b[39;49;00m))\n", + "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:489\u001b[0m, in \u001b[0;36mPropertyDescriptor.is_unstable\u001b[0;34m(cls, value)\u001b[0m\n\u001b[1;32m 486\u001b[0m \u001b[39m@classmethod\u001b[39m\n\u001b[1;32m 487\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mis_unstable\u001b[39m(\u001b[39mcls\u001b[39m, value: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m TypeGuard[Callable[[], Any]]:\n\u001b[1;32m 488\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39minstance\u001b[39;00m \u001b[39mimport\u001b[39;00m InstanceDefault\n\u001b[0;32m--> 489\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39misinstance\u001b[39;49m(value, (FunctionType, InstanceDefault))\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "benchmark_df.hvplot.line(x='date',y='weight',by='ticker')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# unique ticker list\n", + "portfolio_p = db.get_all_portfolio_profile()\n", + "ticker_list = portfolio_p['ticker'].unique().tolist()\n", + "price_df = db.get_stocks_price(ticker_list)\n", + "\n", + "portfolio_p = db.get_all_portfolio_profile()\n", + "## temperaraly handle rename date to time\n", + "portfolio_p.rename(columns={'date': 'time','weight':'ini_w'}, inplace=True)" ] }, { "cell_type": "code", - "execution_count": 151, + "execution_count": 4, "metadata": {}, "outputs": [ + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, { "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
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1):\n", + " current_period = time_periods[i]\n", + " next_period = time_periods[i + 1]\n", + " \n", + " current_df = profile_df[profile_df['time'] == current_period]\n", + " next_df = profile_df[profile_df['time'] == next_period]\n", + " \n", + " tickers_current = current_df['ticker']\n", + " tickers_next = next_df['ticker']\n", + " \n", + " # row that has ticker not in tickers_next\n", + " missing_tickers = current_df[~tickers_current.isin(tickers_next)].copy()\n", + " \n", + " if len(missing_tickers) != 0:\n", + " missing_tickers.time = next_period\n", + " missing_tickers.shares = 0\n", + " missing_tickers.ini_w = 0\n", + " profile_df = pd.concat([profile_df, missing_tickers], ignore_index=True)\n", + " # reset index\n", + " return profile_df.reset_index(drop=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# create a merged_df \n", + "def create_analytic_df(price_df, profile_df):\n", + " '''\n", + " create a df for analysis processing\n", + "\n", + "\n", + " '''\n", + " uni_profile_df = _uniformize_time_series(profile_df)\n", + " #TODO handle rename column here\n", + " df = price_df.merge(uni_profile_df, on=['ticker','time'], how='outer')\n", + " df.sort_values(by=['ticker','time'], inplace=True)\n", + " # add sector, aggregate_sector, display_name and name to missing rows\n", + " grouped = df.groupby('ticker')\n", + " df['sector'] = grouped['sector'].fillna(method='ffill')\n", + " df['aggregate_sector'] = grouped['aggregate_sector'].fillna(method='ffill')\n", + " df['display_name'] = grouped['display_name'].fillna(method='ffill')\n", + " df['name'] = grouped['name'].fillna(method='ffill')\n", + "\n", + " # assign missing ini_w\n", + " df['ini_w'] = grouped['ini_w'].fillna(method='ffill')\n", + " # assign missing shares\n", + " df['shares'] = grouped['shares'].fillna(method='ffill')\n", + " # remove profile and price entry before first profile entry from df\n", + " df.dropna(subset=['ini_w'], inplace=True)\n", + " df.dropna(subset=['close'], inplace=True)\n", + " # remove where weight is 0\n", + " df = df[df['shares'] != 0].copy()\n", + " return df\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_weight_using_cash(df):\n", + " '''\n", + " patch df with current weight for each entry\n", + " use cash to calculate weight\n", + " \n", + " Parameters\n", + " ----------\n", + " df : dataframe\n", + " dataframe with processed cash column\n", + " \n", + " '''\n", + " df['cur_w'] = float('nan')\n", + " grouped = df.groupby('time')\n", + " df.cur_w = grouped.cash.transform(lambda x: x / x.sum())\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_cash(df):\n", + " '''\n", + " patch df with cash column\n", + " cash = shares * close\n", + " \n", + " Parameters\n", + " ----------\n", + " df : dataframe\n", + " dataframe with processed shares and close column\n", + " '''\n", + " df['cash'] = df['shares'] * df['close']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def calculate_return(df, start, end):\n", + " '''\n", + " calculate cumulative return for each entry in the df\n", + " '''\n", + " selected_df = df[df.time.between(start, end)].copy()\n", + " if len(selected_df) == 0:\n", + " return selected_df\n", + " selected_df.sort_values(by=['time'], inplace=True)\n", + " selected_df['return'] = selected_df.groupby('ticker')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": {}, "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
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\n", + "" + ], + "text/plain": [ + ":NdOverlay [ticker]\n", + " :Curve [time] (cur_w)" + ] + }, + "execution_count": 12, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1793" + } + }, "output_type": "execute_result" } ], "source": [ - "date = dt.datetime(2023, 8, 2)\n", - "p_profile.iloc[0].date" + "# merged_df is sorted on time\n", + "analytic_df = create_analytic_df(price_df, portfolio_p)\n", + "calculate_cash(analytic_df)\n", + "calculate_weight_using_cash(analytic_df)\n", + "# analytic_df['pct'] = analytic_df.groupby('ticker')['close'].pct_change()\n", + "# calculate weight\n", + "# calculate_weight(analytic_df)\n", + "analytic_df.hvplot.line(x='time', y='cur_w', by='ticker', width=500, height=400)\n", + "# analytic_d" ] }, { "cell_type": "code", - "execution_count": 149, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -179,99 +770,1175 @@ " \n", " \n", " \n", - " index\n", - " date\n", - " weight\n", - " display_name\n", + " time\n", " ticker\n", 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" 002271.XSHE\n", + " 28.02\n", + " 28.65\n", + " 29.13\n", + " 27.56\n", + " 25064704.0\n", + " 7.112971e+08\n", + " 1200.0\n", + " 建筑材料I 其他建材II 防水材料III 非金属矿物制品业 建筑产品 工业\n", " 原料与能源\n", - " NBA\n", + " 东方雨虹\n", + " DFYH\n", + " 34380.0\n", + " 0.025926\n", + " NaN\n", + " 0.030301\n", " \n", " \n", - " 3\n", - " 1503\n", - " 2020-12-31\n", - " 0.297\n", - " 深科技\n", - " 000021.XSHE\n", - " 电子I 电子制造II 消费电子零部件及组装III 计算机、通信和其他电子设备制造业 安防设备...\n", + " 90\n", + " 2023-08-15\n", + " 002271.XSHE\n", + " 28.75\n", + " 28.93\n", + " 29.00\n", + " 28.16\n", + " 23813851.0\n", + " 6.813863e+08\n", + " 1200.0\n", + " 建筑材料I 其他建材II 防水材料III 非金属矿物��品业 建筑产品 工业\n", + " 原料与能源\n", + " 东方雨虹\n", + " DFYH\n", + " 34716.0\n", + " 0.025926\n", + " NaN\n", + " 0.030464\n", + " \n", + " \n", + " 1\n", + " 2023-08-14\n", + " 300408.XSHE\n", + " 32.00\n", + " 31.98\n", + " 32.38\n", + " 31.81\n", + " 4754694.0\n", + " 1.522192e+08\n", + " 900.0\n", + " 电子I 元件II 被动元件III 计算机、通信和其他电子设备制造业 被动元件 信息技术\n", " 信息与通信\n", - " 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28.02 28.65 29.13 27.56 25064704.0 \n", + "90 2023-08-15 002271.XSHE 28.75 28.93 29.00 28.16 23813851.0 \n", + "1 2023-08-14 300408.XSHE 32.00 31.98 32.38 31.81 4754694.0 \n", + "2 2023-08-15 300408.XSHE 31.90 31.73 32.50 31.33 7131360.0 \n", + "100 2023-08-14 300413.XSHE 32.50 33.27 33.32 32.37 6601139.0 \n", + "101 2023-08-15 300413.XSHE 33.27 32.25 33.30 32.01 10558410.0 \n", + "56 2023-08-14 300759.XSHE 28.93 29.34 29.45 28.55 22129995.0 \n", + "57 2023-08-15 300759.XSHE 29.26 29.00 29.35 28.39 19712233.0 \n", + "78 2023-08-14 300979.XSHE 51.95 53.40 53.46 51.28 1051877.0 \n", + "79 2023-08-15 300979.XSHE 53.35 53.49 53.89 52.66 750046.0 \n", + "12 2023-08-14 600600.XSHG 95.00 95.00 95.35 93.20 4552721.0 \n", + "13 2023-08-15 600600.XSHG 95.03 94.04 95.35 93.51 3148755.0 \n", + "23 2023-08-14 600809.XSHG 222.00 224.27 224.68 219.23 4829616.0 \n", + "24 2023-08-15 600809.XSHG 224.25 224.00 225.58 221.00 3278697.0 \n", + "25 2023-08-16 600809.XSHG 222.60 225.50 227.59 222.22 3892264.0 \n", + "26 2023-08-17 600809.XSHG 224.46 229.72 229.95 223.28 4458965.0 \n", + "27 2023-08-18 600809.XSHG 229.78 225.76 232.10 225.40 3357055.0 \n", + "28 2023-08-21 600809.XSHG 225.00 226.85 230.68 221.00 4344149.0 \n", + "29 2023-08-22 600809.XSHG 227.39 226.45 228.20 222.26 3972474.0 \n", + "67 2023-08-14 601318.XSHG 48.30 48.53 48.82 48.28 60472146.0 \n", + "68 2023-08-15 601318.XSHG 48.52 48.68 49.08 48.02 52183684.0 \n", + "69 2023-08-16 601318.XSHG 48.32 48.35 48.94 48.13 47660376.0 \n", + "70 2023-08-17 601318.XSHG 48.01 47.91 48.18 47.33 59827368.0 \n", + "71 2023-08-18 601318.XSHG 47.90 47.52 49.00 47.52 63666255.0 \n", + "72 2023-08-21 601318.XSHG 47.40 46.67 47.49 46.67 62808090.0 \n", + "73 2023-08-22 601318.XSHG 46.90 47.00 47.30 46.47 51849548.0 \n", + "34 2023-08-14 603000.XSHG 29.00 32.19 32.19 28.85 97674615.0 \n", + "35 2023-08-15 603000.XSHG 32.83 32.46 33.51 32.02 107039840.0 \n", + "36 2023-08-16 603000.XSHG 32.46 32.46 33.33 30.90 96472064.0 \n", + "37 2023-08-17 603000.XSHG 32.04 33.80 34.22 31.83 110222658.0 \n", + "38 2023-08-18 603000.XSHG 33.50 34.20 35.15 32.80 112988265.0 \n", + "39 2023-08-21 603000.XSHG 33.16 33.17 34.66 32.16 79040908.0 \n", + "40 2023-08-22 603000.XSHG 33.87 36.49 36.49 33.77 122393536.0 \n", + "122 2023-08-14 603288.XSHG 43.50 43.31 43.77 42.63 17442281.0 \n", + "123 2023-08-15 603288.XSHG 43.60 42.73 43.60 42.40 10364699.0 \n", + "124 2023-08-16 603288.XSHG 42.43 42.49 42.91 42.40 7427002.0 \n", + "125 2023-08-17 603288.XSHG 42.20 42.73 42.83 41.71 12749545.0 \n", + "126 2023-08-18 603288.XSHG 42.65 41.35 42.65 41.28 12081279.0 \n", + "127 2023-08-21 603288.XSHG 41.35 40.60 41.47 40.60 13034690.0 \n", + "128 2023-08-22 603288.XSHG 40.65 40.49 41.07 39.90 15421643.0 \n", + "129 2023-08-23 603288.XSHG 40.49 39.83 40.53 39.80 11035245.0 \n", + "130 2023-08-24 603288.XSHG 39.92 40.28 40.50 39.52 12865543.0 \n", + "131 2023-08-25 603288.XSHG 40.08 40.08 40.55 39.91 8887682.0 \n", + "\n", + " money shares 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皮革、毛皮、羽毛及其制品和制鞋业 鞋帽与配饰 ... \n", + "12 4.289787e+08 400.0 食品饮料I 非白酒II 啤酒III 酒、饮料和精制茶制造业 啤酒 主要消费 \n", + "13 2.968795e+08 400.0 食品饮料I 非白酒II 啤酒III 酒、饮料和精制茶制造业 啤酒 主要消费 \n", + "23 1.071456e+09 700.0 食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费 \n", + "24 7.323132e+08 700.0 食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费 \n", + "25 8.778281e+08 1000.0 食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费 \n", + "26 1.013827e+09 1000.0 食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费 \n", + "27 7.618667e+08 1000.0 食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费 \n", + "28 9.884448e+08 1000.0 食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费 \n", + "29 8.924032e+08 1000.0 食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费 \n", + "67 2.935327e+09 400.0 非银金融I 保险II 保险III 保险业 多元化保险 金融 \n", + "68 2.535572e+09 400.0 非银金融I 保险II 保险III 保险业 多元化保险 金融 \n", + "69 2.306796e+09 1000.0 非银金融I 保险II 保险III 保险业 多元化保险 金融 \n", + "70 2.853723e+09 1000.0 非银金融I 保险II 保险III 保险业 多元化保险 金融 \n", + "71 3.066294e+09 1000.0 非银金融I 保险II 保险III 保险业 多元化保险 金融 \n", + "72 2.950143e+09 1000.0 非银金融I 保险II 保险III 保险业 多元化保险 金融 \n", + "73 2.430767e+09 1000.0 非银金融I 保险II 保险III 保险业 多元化保险 金融 \n", + "34 3.035976e+09 23500.0 传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务 \n", + "35 3.509711e+09 23500.0 传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务 \n", + "36 3.114885e+09 1000.0 传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务 \n", + "37 3.686636e+09 1000.0 传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务 \n", + "38 3.852462e+09 1000.0 传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务 \n", + "39 2.650834e+09 1000.0 传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务 \n", + "40 4.299076e+09 1000.0 传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务 \n", + "122 7.536682e+08 400.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "123 4.437403e+08 400.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "124 3.165294e+08 1000.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "125 5.386939e+08 1000.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "126 5.052964e+08 1000.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "127 5.348660e+08 1000.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "128 6.222933e+08 1000.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "129 4.423327e+08 10000.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "130 5.163460e+08 10000.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "131 3.573801e+08 10000.0 食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费 \n", + "\n", + " aggregate_sector display_name name cash ini_w ave_price \\\n", + "111 原料与能源 天山股份 TSGF 9240.0 0.007896 NaN \n", + "112 原料与能源 天山股份 TSGF 9262.0 0.007896 NaN \n", + "45 工业 金风科技 JFKJ 12948.0 0.003677 NaN \n", + "46 工业 金风科技 JFKJ 12840.0 0.003677 NaN \n", + "89 原料与能源 东方雨虹 DFYH 34380.0 0.025926 NaN \n", + "90 原料与能源 东方雨虹 DFYH 34716.0 0.025926 NaN \n", + "1 信息与通信 三环集团 SHJT 28782.0 0.017100 NaN \n", + "2 信息与通信 三环集团 SHJT 28557.0 0.017100 NaN \n", + "100 信息与通信 芒果超媒 MGCM 13308.0 0.010379 NaN \n", + "101 信息与通信 芒果超媒 MGCM 12900.0 0.010379 NaN \n", + "56 医药卫生 康龙化成 KLHC 26406.0 0.031525 NaN \n", + "57 医药卫生 康龙化成 KLHC 26100.0 0.031525 NaN \n", + "78 消费 华利集团 HLJT 21360.0 0.015049 NaN \n", + "79 消费 华利集团 HLJT 21396.0 0.015049 NaN \n", + "12 消费 青岛啤酒 QDPJ 38000.0 0.108818 NaN \n", + "13 消费 青岛啤酒 QDPJ 37616.0 0.108818 NaN \n", + "23 消费 山西汾酒 SXFJ 156989.0 0.119433 NaN \n", + "24 消费 山西汾酒 SXFJ 156800.0 0.119433 NaN \n", + "25 消费 山西汾酒 SXFJ 225500.0 0.250000 NaN \n", + "26 消费 山西汾酒 SXFJ 229720.0 0.250000 NaN \n", + "27 消费 山西汾酒 SXFJ 225760.0 0.250000 NaN \n", + "28 消费 山西汾酒 SXFJ 226850.0 0.250000 NaN \n", + "29 消费 山西汾酒 SXFJ 226450.0 0.250000 NaN \n", + "67 金融与地产 中国平安 ZGPA 19412.0 0.119706 NaN \n", + "68 金融与地产 中国平安 ZGPA 19472.0 0.119706 NaN \n", + "69 金融与地产 中国平安 ZGPA 48350.0 0.250000 NaN \n", + "70 金融与地产 中国平安 ZGPA 47910.0 0.250000 NaN \n", + "71 金融与地产 中国平安 ZGPA 47520.0 0.250000 NaN \n", + "72 金融与地产 中国平安 ZGPA 46670.0 0.250000 NaN \n", + "73 金融与地产 中国平安 ZGPA 47000.0 0.250000 NaN \n", + "34 信息与通信 人民网 RMW 756465.0 0.430369 NaN \n", + "35 信息与通信 人民网 RMW 762810.0 0.430369 NaN \n", + "36 信息与通信 人民网 RMW 32460.0 0.250000 NaN \n", + "37 信息与通信 人民网 RMW 33800.0 0.250000 NaN \n", + "38 信息与通信 人民网 RMW 34200.0 0.250000 NaN \n", + "39 信息与通信 人民网 RMW 33170.0 0.250000 NaN \n", + "40 信息与通信 人民网 RMW 36490.0 0.250000 NaN \n", + "122 消费 海天味业 HTWY 17324.0 0.110121 NaN \n", + "123 消费 海天味业 HTWY 17092.0 0.110121 NaN \n", + "124 消费 海天味业 HTWY 42490.0 0.250000 NaN \n", + "125 消费 海天味业 HTWY 42730.0 0.250000 NaN \n", + "126 消费 海天味业 HTWY 41350.0 0.250000 NaN \n", + "127 消费 海天味业 HTWY 40600.0 0.250000 NaN \n", + "128 消费 海天味业 HTWY 40490.0 0.250000 NaN \n", + "129 消费 海天味业 HTWY 398300.0 1.000000 NaN \n", + "130 消费 海天味业 HTWY 402800.0 1.000000 NaN \n", + "131 消费 海天味业 HTWY 400800.0 1.000000 NaN \n", "\n", - " sector aggregate_sector name \n", - "0 机械设备I 运输设备II 铁路设备III 铁路、船舶、航空航天和其他运输设备制造业 城轨铁路 工业 工业 SZGT \n", - "1 电气设备I 电池II 电池化学品III 综合 工业集团企业 工业 工业 ZGBA \n", - "2 建筑材料I 玻璃制造II 玻璃制造III 非金属矿物制品业 玻璃 原材料 原料与能源 NBA \n", - "3 电子I 电子制造II 消费电子零部件及组装III 计算机、通信和其他电子设备制造业 安防设备... 信息与通信 SKJ \n", - "4 交通运输I 航运港口II 港口III 水上运输业 港口 工业 工业 ZSGK " + " cur_w \n", + "111 0.008144 \n", + "112 0.008128 \n", + "45 0.011412 \n", + "46 0.011267 \n", + "89 0.030301 \n", + "90 0.030464 \n", + "1 0.025367 \n", + "2 0.025060 \n", + "100 0.011729 \n", + "101 0.011320 \n", + "56 0.023273 \n", + "57 0.022904 \n", + "78 0.018826 \n", + "79 0.018776 \n", + "12 0.033492 \n", + "13 0.033009 \n", + "23 0.138363 \n", + "24 0.137597 \n", + "25 0.646502 \n", + "26 0.648633 \n", + "27 0.647192 \n", + "28 0.653200 \n", + "29 0.646206 \n", + "67 0.017109 \n", + "68 0.017087 \n", + "69 0.138618 \n", + "70 0.135278 \n", + "71 0.136227 \n", + "72 0.134383 \n", + "73 0.134121 \n", + "34 0.666716 \n", + "35 0.669389 \n", + "36 0.093062 \n", + "37 0.095437 \n", + "38 0.098042 \n", + "39 0.095511 \n", + "40 0.104129 \n", + "122 0.015269 \n", + "123 0.014999 \n", + "124 0.121818 \n", + "125 0.120652 \n", + "126 0.118539 \n", + "127 0.116905 \n", + "128 0.115544 \n", + "129 1.000000 \n", + "130 1.000000 \n", + "131 1.000000 " ] }, - "execution_count": 149, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "b_profile.head()" + "analytic_df" ] } ],