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 });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.holoviz.org/panel/1.1.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n Bokeh = root.Bokeh;\n bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));",
+ "application/vnd.holoviews_load.v0+json": ""
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n 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function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', 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": [
+ "\n",
+ ""
+ ],
"text/plain": [
- "Timestamp('2023-08-02 21:20:02')"
+ ":NdOverlay [ticker]\n",
+ " :Curve [time] (close)"
]
},
- "execution_count": 151,
+ "execution_count": 4,
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p1002"
+ }
+ },
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "price_df.hvplot.line(x='time', y='close', by='ticker', width=1000, height=400)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def _uniformize_time_series(profile_df):\n",
+ " '''\n",
+ " a helper function to create analytic_df \n",
+ " \n",
+ " make each entry in the time series has the same dimension\n",
+ " by filling none holding stock that was held in previous period has 0 shares and 0 ini_w\n",
+ "\n",
+ " Parameters\n",
+ " ----------\n",
+ " profile_df : dataframe\n",
+ " portfolio profile dataframe or benchmark profile dataframe\n",
+ " \n",
+ " Returns\n",
+ " -------\n",
+ " dataframe\n",
+ " dataframe with uniformized time series\n",
+ " '''\n",
+ " # Get unique time periods\n",
+ " time_periods = profile_df['time'].unique()\n",
+ " time_periods = sorted(time_periods)\n",
+ "\n",
+ " # Iterate through time periods\n",
+ " for i in range(len(time_periods) - 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": [
+ "\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 @@
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- " index | \n",
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" sector | \n",
" aggregate_sector | \n",
+ " display_name | \n",
" name | \n",
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+ " 山西汾酒 | \n",
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+ "
\n",
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+ " 金融与地产 | \n",
+ " 中国平安 | \n",
+ " ZGPA | \n",
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+ "
\n",
+ " \n",
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+ " 2.535572e+09 | \n",
+ " 400.0 | \n",
+ " 非银金融I 保险II 保险III 保险业 多元化保险 金融 | \n",
+ " 金融与地产 | \n",
+ " 中国平安 | \n",
+ " ZGPA | \n",
+ " 19472.0 | \n",
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+ "
\n",
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+ " 金融与地产 | \n",
+ " 中国平安 | \n",
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\n",
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+ " 金融与地产 | \n",
+ " 中国平安 | \n",
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\n",
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+ " 非银金融I 保险II 保险III 保险业 多元化保险 金融 | \n",
+ " 金融与地产 | \n",
+ " 中国平安 | \n",
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\n",
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+ " 金融与地产 | \n",
+ " 中国平安 | \n",
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\n",
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+ " 非银金融I 保险II 保险III 保险业 多元化保险 金融 | \n",
+ " 金融与地产 | \n",
+ " 中国平安 | \n",
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\n",
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\n",
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\n",
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\n",
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\n",
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"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " index date weight display_name ticker \\\n",
- "0 1500 2020-12-31 0.088 神州高铁 000008.XSHE \n",
- "1 1501 2020-12-31 0.344 中国宝安 000009.XSHE \n",
- "2 1502 2020-12-31 0.180 南玻A 000012.XSHE \n",
- "3 1503 2020-12-31 0.297 深科技 000021.XSHE \n",
- "4 1504 2020-12-31 0.030 招商港口 001872.XSHE \n",
+ " time ticker open close high low volume \\\n",
+ "111 2023-08-14 000877.XSHE 8.35 8.40 8.44 8.26 7357900.0 \n",
+ "112 2023-08-15 000877.XSHE 8.42 8.42 8.45 8.30 6000000.0 \n",
+ "45 2023-08-14 002202.XSHE 10.73 10.79 10.84 10.61 11395130.0 \n",
+ "46 2023-08-15 002202.XSHE 10.80 10.70 10.81 10.64 8332232.0 \n",
+ "89 2023-08-14 002271.XSHE 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 sector \\\n",
+ "111 6.138507e+07 1100.0 建筑材料I 水泥制造II 水泥制造III 非金属矿物制品业 水泥与混凝土 原材料 \n",
+ "112 5.030405e+07 1100.0 建筑材料I 水泥制造II 水泥制造III 非金属矿物制品业 水泥与混凝土 原材料 \n",
+ "45 1.222121e+08 1200.0 电气设备I 风电设备II 风电整机III 通用设备制造业 风电设备 工业 \n",
+ "46 8.922860e+07 1200.0 电气设备I 风电设备II 风电整机III 通用设备制造业 风电设备 工业 \n",
+ "89 7.112971e+08 1200.0 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",
+ "90 6.813863e+08 1200.0 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",
+ "1 1.522192e+08 900.0 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",
+ "2 2.259226e+08 900.0 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",
+ "100 2.173793e+08 400.0 传媒I 数字媒体II 视频媒体III 文化艺术业 视频媒体 通信服务 \n",
+ "101 3.417554e+08 400.0 传媒I 数字媒体II 视频媒体III 文化艺术业 视频媒体 通信服务 \n",
+ "56 6.413811e+08 900.0 医药生物I 医疗服务II 医疗研发外包III 研究和试验发展 制药与生物科技服务 医药卫生 \n",
+ "57 5.657508e+08 900.0 医药生物I 医疗服务II 医疗研发外包III 研究和试验发展 制药与生物科技服务 医药卫生 \n",
+ "78 5.531820e+07 400.0 纺织服装I 纺织制造II 纺织鞋类制造III 皮革、毛皮、羽毛及其制品和制鞋业 鞋帽与配饰 ... \n",
+ "79 4.004042e+07 400.0 纺织服装I 纺织制造II 纺织鞋类制造III 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"
]
}
],