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CSIROBoeingPhase5-Vietnam/02.predict_ODC.ipynb
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first commit
2024-08-28 05:10:02 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "1a452ff0-7c2f-4fa7-abf4-f7c8b09a9932",
cap nhat thu tu cell code
2024-09-23 04:14:06 +00:00
"metadata": {
"tags": []
},
first commit
2024-08-28 05:10:02 +00:00
"outputs": [
{
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" }\n",
" window.PyViz.comms[comm_id] = comm;\n",
" return comm;\n",
" }\n",
" window.PyViz.comm_manager = new JupyterCommManager();\n",
" \n",
"\n",
"\n",
"var JS_MIME_TYPE = 'application/javascript';\n",
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" output_area._hv_plot_id = id;\n",
" if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
" window.PyViz.plot_index[id] = Bokeh.index[id];\n",
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" return;\n",
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" comm.send({event_type: 'delete', 'id': id});\n",
" }\n",
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" var doc = window.Bokeh.index[id].model.document\n",
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" window.Bokeh.documents.splice(i, 1);\n",
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" delete PyViz.comms[\"hv-extension-comm\"];\n",
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"\n",
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" CLASS_NAME,\n",
" EXEC_MIME_TYPE\n",
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" // Render to node\n",
" var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
" render(props, toinsert[0]);\n",
" element.append(toinsert);\n",
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"\n",
" events.on('output_added.OutputArea', handle_add_output);\n",
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" events.on('clear_output.CodeCell', handle_clear_output);\n",
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" safe: true,\n",
" index: 0\n",
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"}\n",
"\n",
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" var events = require('base/js/events');\n",
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" }\n",
" } catch(err) {\n",
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],
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" require([\"jspanel\"], function(jsPanel) {\n",
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"\ton_load()\n",
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" require([\"gridstack\"], function(GridStack) {\n",
"\twindow.GridStack = GridStack\n",
"\ton_load()\n",
" })\n",
" require([\"notyf\"], function() {\n",
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" })\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",
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" var link = links[i]\n",
" if (link.href != null) {\n",
"\texisting_stylesheets.push(link.href)\n",
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" const element = document.createElement(\"link\");\n",
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" 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",
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" }\n",
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" }\n",
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" }\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
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" var element = document.createElement('script');\n",
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" 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",
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" var element = document.createElement('script');\n",
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" 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",
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" 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",
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"\n",
" function inject_raw_css(css) {\n",
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" var js_urls = [];\n",
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" Bokeh.set_log_level(\"info\");\n",
" },\n",
"function(Bokeh) {} // ensure no trailing comma for IE\n",
" ];\n",
"\n",
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" if ((root.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
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"\tif (Bokeh.versions === undefined) {\n",
"\t Bokeh.versions = new Map();\n",
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"\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",
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" if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
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" 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",
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" 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": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = true;\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 < lin
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/javascript": [
"\n",
"if ((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",
" };\n",
" var comm = {\n",
" send: sendClosure\n",
" };\n",
" }\n",
" window.PyViz.comms[comm_id] = comm;\n",
" return comm;\n",
" }\n",
" window.PyViz.comm_manager = new JupyterCommManager();\n",
" \n",
"\n",
"\n",
"var JS_MIME_TYPE = 'application/javascript';\n",
"var HTML_MIME_TYPE = 'text/html';\n",
"var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
"var CLASS_NAME = 'output';\n",
"\n",
"/**\n",
" * Render data to the DOM node\n",
" */\n",
"function render(props, node) {\n",
" var div = document.createElement(\"div\");\n",
" var script = document.createElement(\"script\");\n",
" node.appendChild(div);\n",
" node.appendChild(script);\n",
"}\n",
"\n",
"/**\n",
" * Handle when a new output is added\n",
" */\n",
"function handle_add_output(event, handle) {\n",
" var output_area = handle.output_area;\n",
" var output = handle.output;\n",
" if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
" return\n",
" }\n",
" var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
" var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
" if (id !== undefined) {\n",
" var nchildren = toinsert.length;\n",
" var html_node = toinsert[nchildren-1].children[0];\n",
" html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
" var scripts = [];\n",
" var nodelist = html_node.querySelectorAll(\"script\");\n",
" for (var i in nodelist) {\n",
" if (nodelist.hasOwnProperty(i)) {\n",
" scripts.push(nodelist[i])\n",
" }\n",
" }\n",
"\n",
" scripts.forEach( function (oldScript) {\n",
" var newScript = document.createElement(\"script\");\n",
" var attrs = [];\n",
" var nodemap = oldScript.attributes;\n",
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" attrs.push(nodemap[j])\n",
" }\n",
" }\n",
" attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
" newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
" oldScript.parentNode.replaceChild(newScript, oldScript);\n",
" });\n",
" if (JS_MIME_TYPE in output.data) {\n",
" toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
" }\n",
" output_area._hv_plot_id = id;\n",
" if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
" window.PyViz.plot_index[id] = Bokeh.index[id];\n",
" } else {\n",
" window.PyViz.plot_index[id] = null;\n",
" }\n",
" } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
" var bk_div = document.createElement(\"div\");\n",
" bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
" var script_attrs = bk_div.children[0].attributes;\n",
" for (var i = 0; i < script_attrs.length; i++) {\n",
" toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
" }\n",
" // store reference to server id on output_area\n",
" output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
" }\n",
"}\n",
"\n",
"/**\n",
" * Handle when an output is cleared or removed\n",
" */\n",
"function handle_clear_output(event, handle) {\n",
" var id = handle.cell.output_area._hv_plot_id;\n",
" var server_id = handle.cell.output_area._bokeh_server_id;\n",
" if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
" var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
" if (server_id !== null) {\n",
" comm.send({event_type: 'server_delete', 'id': server_id});\n",
" return;\n",
" } else if (comm !== null) {\n",
" comm.send({event_type: 'delete', 'id': id});\n",
" }\n",
" delete PyViz.plot_index[id];\n",
" if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
" var doc = window.Bokeh.index[id].model.document\n",
" doc.clear();\n",
" const i = window.Bokeh.documents.indexOf(doc);\n",
" if (i > -1) {\n",
" window.Bokeh.documents.splice(i, 1);\n",
" }\n",
" }\n",
"}\n",
"\n",
"/**\n",
" * Handle kernel restart event\n",
" */\n",
"function handle_kernel_cleanup(event, handle) {\n",
" delete PyViz.comms[\"hv-extension-comm\"];\n",
" window.PyViz.plot_index = {}\n",
"}\n",
"\n",
"/**\n",
" * Handle update_display_data messages\n",
" */\n",
"function handle_update_output(event, handle) {\n",
" handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
" handle_add_output(event, handle)\n",
"}\n",
"\n",
"function register_renderer(events, OutputArea) {\n",
" 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",
"\n",
"if (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": "\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 };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.creat
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<style>*[data-root-id],\n",
"*[data-root-id] > * {\n",
" box-sizing: border-box;\n",
" font-family: var(--jp-ui-font-family);\n",
" font-size: var(--jp-ui-font-size1);\n",
" color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
"}\n",
"\n",
"/* Override VSCode background color */\n",
".cell-output-ipywidget-background:has(\n",
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".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
" background-color: transparent !important;\n",
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"</style>"
]
},
"metadata": {},
"output_type": "display_data"
},
Them file 24-9
2024-09-24 13:58:06 +00:00
{
"data": {
"application/javascript": [
"(function(root) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" var force = true;\n",
" var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
" var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
" var reloading = true;\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",
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" root._bokeh_timeout = Date.now() + 5000;\n",
" root._bokeh_failed_load = false;\n",
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"\n",
" function run_callbacks() {\n",
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" root._bokeh_onload_callbacks.forEach(function(callback) {\n",
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" console.debug(\"Bokeh: all callbacks have finished\");\n",
" }\n",
"\n",
" function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
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" 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",
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" 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/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/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/1.2.3/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/1.2.3/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 = [];\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",
" },\n",
"function(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",
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" // 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": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = true;\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 < lin
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"metadata": {},
"output_type": "display_data"
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{
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"\n",
"/**\n",
" * Render data to the DOM node\n",
" */\n",
"function render(props, node) {\n",
" var div = document.createElement(\"div\");\n",
" var script = document.createElement(\"script\");\n",
" node.appendChild(div);\n",
" node.appendChild(script);\n",
"}\n",
"\n",
"/**\n",
" * Handle when a new output is added\n",
" */\n",
"function handle_add_output(event, handle) {\n",
" var output_area = handle.output_area;\n",
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" return\n",
" }\n",
" var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
" var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
" if (id !== undefined) {\n",
" var nchildren = toinsert.length;\n",
" var html_node = toinsert[nchildren-1].children[0];\n",
" html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
" var scripts = [];\n",
" var nodelist = html_node.querySelectorAll(\"script\");\n",
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" });\n",
" if (JS_MIME_TYPE in output.data) {\n",
" toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
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"%%time\n",
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"text": [
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"source": [
"%%time\n",
"# Dask gateway\n",
"cluster, client = notebook_utils.initialize_dask(use_gateway=True, workers=(1,4))\n",
"dc = datacube.Datacube()\n",
"\n",
"# Configure s3 access\n",
"configure_s3_access(aws_unsigned=False, requester_pays=True, client=client)\n",
"\n",
"client"
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"id": "56a9e23b-435e-4235-b09d-196662813f5a",
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"source": [
"## cấu hình thời gian lấy ảnh và tọa độ\n",
"date_range = ('2022-09-01', '2023-10-01')\n",
"longtitude_range = (105.86575, 105.94120)\n",
"latitude_range = (9.65070, 9.69850)"
]
},
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"execution_count": 4,
"id": "606d23a3-7db6-4eb2-9d31-1e31ee3aaef7",
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"outputs": [
first commit
2024-08-28 05:10:02 +00:00
{
"name": "stdout",
"output_type": "stream",
"text": [
Them file 24-9
2024-09-24 13:58:06 +00:00
"Most common native CRS: EPSG:32648\n",
"No datasets require offset correction\n",
"The valid_data_mask and scale (no offset) have been applied to the reflectance bands\n"
first commit
2024-08-28 05:10:02 +00:00
]
Them file 24-9
2024-09-24 13:58:06 +00:00
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".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 78, y: 532, x: 830)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-09-02T03:35:38.706000 ... 2023-09...\n",
" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 32648\n",
"Data variables:\n",
" blue (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" green (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" red (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" nir (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" scl (time, y, x) uint8 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-57c441bb-088a-4d59-9f4c-f42980662ec8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57c441bb-088a-4d59-9f4c-f42980662ec8' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 78</li><li><span class='xr-has-index'>y</span>: 532</li><li><span class='xr-has-index'>x</span>: 830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cfdd5051-e2dc-471f-8e6b-2c5e6091924c' class='xr-section-summary-in' type='checkbox' checked><label for='section-cfdd5051-e2dc-471f-8e6b-2c5e6091924c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-02T03:35:38.706000 ... 2...</div><input id='attrs-518e631c-da41-4ccf-ac8c-ebcd40b07120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-518e631c-da41-4ccf-ac8c-ebcd40b07120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27e466cc-e7ad-4236-9b10-f6be097dc70f' class='xr-var-data-in' type='checkbox'><label for='data-27e466cc-e7ad-4236-9b10-f6be097dc70f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-02T03:35:38.706000000&#x27;, &#x27;2022-09-07T03:35:28.392000000&#x27;,\n",
" &#x27;2022-09-12T03:35:36.984000000&#x27;, &#x27;2022-09-17T03:35:28.396000000&#x27;,\n",
" &#x27;2022-09-22T03:35:33.676000000&#x27;, &#x27;2022-09-27T03:35:26.885000000&#x27;,\n",
" &#x27;2022-10-02T03:35:33.797000000&#x27;, &#x27;2022-10-07T03:35:23.874000000&#x27;,\n",
" &#x27;2022-10-12T03:35:31.889000000&#x27;, &#x27;2022-10-17T03:35:25.895000000&#x27;,\n",
" &#x27;2022-10-22T03:35:28.478000000&#x27;, &#x27;2022-10-27T03:35:25.671000000&#x27;,\n",
" &#x27;2022-11-01T03:35:30.553000000&#x27;, &#x27;2022-11-06T03:35:24.840000000&#x27;,\n",
" &#x27;2022-11-11T03:35:30.080000000&#x27;, &#x27;2022-11-16T03:35:26.282000000&#x27;,\n",
" &#x27;2022-11-21T03:35:27.133000000&#x27;, &#x27;2022-11-26T03:35:25.806000000&#x27;,\n",
" &#x27;2022-12-01T03:35:26.747000000&#x27;, &#x27;2022-12-06T03:35:23.575000000&#x27;,\n",
" &#x27;2022-12-11T03:35:26.920000000&#x27;, &#x27;2022-12-16T03:35:24.874000000&#x27;,\n",
" &#x27;2022-12-21T03:35:24.727000000&#x27;, &#x27;2022-12-26T03:35:25.874000000&#x27;,\n",
" &#x27;2022-12-31T03:35:25.489000000&#x27;, &#x27;2023-01-05T03:35:26.328000000&#x27;,\n",
" &#x27;2023-01-10T03:35:24.897000000&#x27;, &#x27;2023-01-15T03:35:22.879000000&#x27;,\n",
" &#x27;2023-01-20T03:35:21.331000000&#x27;, &#x27;2023-01-25T03:35:24.561000000&#x27;,\n",
" &#x27;2023-01-30T03:35:24.703000000&#x27;, &#x27;2023-02-04T03:35:25.086000000&#x27;,\n",
" &#x27;2023-02-09T03:35:25.381000000&#x27;, &#x27;2023-02-14T03:35:24.987000000&#x27;,\n",
" &#x27;2023-02-24T03:35:26.862000000&#x27;, &#x27;2023-03-01T03:35:23.929000000&#x27;,\n",
" &#x27;2023-03-06T03:35:29.457000000&#x27;, &#x27;2023-03-11T03:35:21.972000000&#x27;,\n",
" &#x27;2023-03-16T03:35:30.684000000&#x27;, &#x27;2023-03-21T03:35:25.016000000&#x27;,\n",
" &#x27;2023-03-26T03:35:29.316000000&#x27;, &#x27;2023-03-31T03:35:24.882000000&#x27;,\n",
" &#x27;2023-04-05T03:35:29.667000000&#x27;, &#x27;2023-04-10T03:35:26.745000000&#x27;,\n",
" &#x27;2023-04-15T03:35:27.482000000&#x27;, &#x27;2023-04-20T03:35:25.073000000&#x27;,\n",
" &#x27;2023-04-25T03:35:28.492000000&#x27;, &#x27;2023-04-30T03:35:26.887000000&#x27;,\n",
" &#x27;2023-05-05T03:35:29.183000000&#x27;, &#x27;2023-05-10T03:35:26.031000000&#x27;,\n",
" &#x27;2023-05-15T03:35:30.428000000&#x27;, &#x27;2023-05-20T03:35:28.932000000&#x27;,\n",
" &#x27;2023-05-25T03:35:31.398000000&#x27;, &#x27;2023-05-30T03:35:30.380000000&#x27;,\n",
" &#x27;2023-06-04T03:35:30.790000000&#x27;, &#x27;2023-06-09T03:35:30.281000000&#x27;,\n",
" &#x27;2023-06-14T03:35:31.608000000&#x27;, &#x27;2023-06-19T03:35:30.646000000&#x27;,\n",
" &#x27;2023-06-24T03:35:30.720000000&#x27;, &#x27;2023-06-29T03:35:30.713000000&#x27;,\n",
" &#x27;2023-07-04T03:35:31.975000000&#x27;, &#x27;2023-07-09T03:35:31.850000000&#x27;,\n",
" &#x27;2023-07-14T03:35:31.327000000&#x27;, &#x27;2023-07-19T03:35:30.791000000&#x27;,\n",
" &#x27;2023-07-24T03:35:32.589000000&#x27;, &#x27;2023-07-29T03:35:31.826000000&#x27;,\n",
" &#x27;2023-08-03T03:35:31.242000000&#x27;, &#x27;2023-08-08T03:35:31.056000000&#x27;,\n",
" &#x27;2023-08-13T03:35:32.189000000&#x27;, &#x27;2023-08-18T03:35:32.563000000&#x27;,\n",
" &#x27;2023-08-23T03:35:30.964000000&#x27;, &#x27;2023-08-28T03:35:32.323000000&#x27;,\n",
" &#x27;2023-09-02T03:35:31.370000000&#x27;, &#x27;2023-09-07T03:35:31.878000000&#x27;,\n",
" &#x27;2023-09-12T03:35:30.073000000&#x27;, &#x27;2023-09-17T03:35:30.006000000&#x27;,\n",
" &#x27;2023-09-22T03:35:30.187000000&#x27;, &#x27;2023-09-27T03:35:28.858000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.072e+06 1.072e+06 ... 1.067e+06</div><input id='attrs-3d8c1c62-511f-484d-b336-27cac3af6457' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d8c1c62-511f-484d-b336-27cac3af6457' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd3c54c0-50ca-4c88-98a2-ffc6fd66e349' class='xr-var-data-in' type='checkbox'><label for='data-dd3c54c0-50ca-4c88-98a2-ffc6fd66e349' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([1072225., 1072215., 1072205., ..., 1066935., 1066925., 1066915.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.95e+05 5.95e+05 ... 6.033e+05</div><input id='attrs-bcf11f0a-dac2-4005-a614-22f9b4a95ae5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcf11f0a-dac2-4005-a614-22f9b4a95ae5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-362cf105-e545-4458-aae3-ca3e4b159f84' class='xr-var-data-in' type='checkbox'><label for='data-362cf105-e545-4458-aae3-ca3e4b159f84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([594975., 594985., 594995., ..., 603245., 603255., 603265.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>32648</div><input id='attrs-dffca809-5164-48de-a30e-53ae09434ff4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dffca809-5164-48de-a30e-53ae09434ff4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b744ed22-661a-4682-b23e-817b9adc207a' class='xr-var-data-in' type='checkbox'><label for='data-b744ed22-661a-4682-b23e-817b9adc207a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 48N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,105],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32648&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(32648, dtype=int32)</pre>
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 131.38 MiB </td>\n",
" <td> 1.68 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (78, 532, 830) </td>\n",
" <td> (1, 532, 830) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 78 chunks in 8 graph layers </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"202\" height=\"149\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scl</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;</div><input id='attrs-1e6f9334-067c-4f38-be42-b1d34c393c7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e6f9334-067c-4f38-be42-b1d34c393c7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9439a474-2488-4f72-b19c-29a0a1ea2974' class='xr-var-data-in' type='checkbox'><label for='data-9439a474-2488-4f72-b19c-29a0a1ea2974' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>nodata :</span></dt><dd>0</dd><dt><span>flags_definition :</span></dt><dd>{&#x27;qa&#x27;: {&#x27;bits&#x27;: [0, 1, 2, 3, 4, 5, 6, 7], &#x27;values&#x27;: {&#x27;0&#x27;: &#x27;no data&#x27;, &#x27;1&#x27;: &#x27;saturated or defective&#x27;, &#x27;2&#x27;: &#x27;dark area pixels&#x27;, &#x27;3&#x27;: &#x27;cloud shadows&#x27;, &#x27;4&#x27;: &#x27;vegetation&#x27;, &#x27;5&#x27;: &#x27;bare soils&#x27;, &#x27;6&#x27;: &#x27;water&#x27;, &#x27;7&#x27;: &#x27;unclassified&#x27;, &#x27;8&#x27;: &#x27;cloud medium probability&#x27;, &#x27;9&#x27;: &#x27;cloud high probability&#x27;, &#x27;10&#x27;: &#x27;thin cirrus&#x27;, &#x27;11&#x27;: &#x27;snow or ice&#x27;}, &#x27;description&#x27;: &#x27;Sen2Cor Scene Classification&#x27;}}</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
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" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
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" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 32.85 MiB </td>\n",
" <td> 431.21 kiB </td>\n",
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" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (78, 532, 830) </td>\n",
" <td> (1, 532, 830) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 78 chunks in 1 graph layer </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> uint8 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
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" <td>\n",
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1437ca61-b2fd-4640-b08b-f8d0c14a6a66' class='xr-section-summary-in' type='checkbox' ><label for='section-1437ca61-b2fd-4640-b08b-f8d0c14a6a66' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-645a74e7-f92e-4de9-9085-cac7ccc148e1' class='xr-index-data-in' type='checkbox'/><label for='index-645a74e7-f92e-4de9-9085-cac7ccc148e1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-02 03:35:38.706000&#x27;, &#x27;2022-09-07 03:35:28.392000&#x27;,\n",
" &#x27;2022-09-12 03:35:36.984000&#x27;, &#x27;2022-09-17 03:35:28.396000&#x27;,\n",
" &#x27;2022-09-22 03:35:33.676000&#x27;, &#x27;2022-09-27 03:35:26.885000&#x27;,\n",
" &#x27;2022-10-02 03:35:33.797000&#x27;, &#x27;2022-10-07 03:35:23.874000&#x27;,\n",
" &#x27;2022-10-12 03:35:31.889000&#x27;, &#x27;2022-10-17 03:35:25.895000&#x27;,\n",
" &#x27;2022-10-22 03:35:28.478000&#x27;, &#x27;2022-10-27 03:35:25.671000&#x27;,\n",
" &#x27;2022-11-01 03:35:30.553000&#x27;, &#x27;2022-11-06 03:35:24.840000&#x27;,\n",
" &#x27;2022-11-11 03:35:30.080000&#x27;, &#x27;2022-11-16 03:35:26.282000&#x27;,\n",
" &#x27;2022-11-21 03:35:27.133000&#x27;, &#x27;2022-11-26 03:35:25.806000&#x27;,\n",
" &#x27;2022-12-01 03:35:26.747000&#x27;, &#x27;2022-12-06 03:35:23.575000&#x27;,\n",
" &#x27;2022-12-11 03:35:26.920000&#x27;, &#x27;2022-12-16 03:35:24.874000&#x27;,\n",
" &#x27;2022-12-21 03:35:24.727000&#x27;, &#x27;2022-12-26 03:35:25.874000&#x27;,\n",
" &#x27;2022-12-31 03:35:25.489000&#x27;, &#x27;2023-01-05 03:35:26.328000&#x27;,\n",
" &#x27;2023-01-10 03:35:24.897000&#x27;, &#x27;2023-01-15 03:35:22.879000&#x27;,\n",
" &#x27;2023-01-20 03:35:21.331000&#x27;, &#x27;2023-01-25 03:35:24.561000&#x27;,\n",
" &#x27;2023-01-30 03:35:24.703000&#x27;, &#x27;2023-02-04 03:35:25.086000&#x27;,\n",
" &#x27;2023-02-09 03:35:25.381000&#x27;, &#x27;2023-02-14 03:35:24.987000&#x27;,\n",
" &#x27;2023-02-24 03:35:26.862000&#x27;, &#x27;2023-03-01 03:35:23.929000&#x27;,\n",
" &#x27;2023-03-06 03:35:29.457000&#x27;, &#x27;2023-03-11 03:35:21.972000&#x27;,\n",
" &#x27;2023-03-16 03:35:30.684000&#x27;, &#x27;2023-03-21 03:35:25.016000&#x27;,\n",
" &#x27;2023-03-26 03:35:29.316000&#x27;, &#x27;2023-03-31 03:35:24.882000&#x27;,\n",
" &#x27;2023-04-05 03:35:29.667000&#x27;, &#x27;2023-04-10 03:35:26.745000&#x27;,\n",
" &#x27;2023-04-15 03:35:27.482000&#x27;, &#x27;2023-04-20 03:35:25.073000&#x27;,\n",
" &#x27;2023-04-25 03:35:28.492000&#x27;, &#x27;2023-04-30 03:35:26.887000&#x27;,\n",
" &#x27;2023-05-05 03:35:29.183000&#x27;, &#x27;2023-05-10 03:35:26.031000&#x27;,\n",
" &#x27;2023-05-15 03:35:30.428000&#x27;, &#x27;2023-05-20 03:35:28.932000&#x27;,\n",
" &#x27;2023-05-25 03:35:31.398000&#x27;, &#x27;2023-05-30 03:35:30.380000&#x27;,\n",
" &#x27;2023-06-04 03:35:30.790000&#x27;, &#x27;2023-06-09 03:35:30.281000&#x27;,\n",
" &#x27;2023-06-14 03:35:31.608000&#x27;, &#x27;2023-06-19 03:35:30.646000&#x27;,\n",
" &#x27;2023-06-24 03:35:30.720000&#x27;, &#x27;2023-06-29 03:35:30.713000&#x27;,\n",
" &#x27;2023-07-04 03:35:31.975000&#x27;, &#x27;2023-07-09 03:35:31.850000&#x27;,\n",
" &#x27;2023-07-14 03:35:31.327000&#x27;, &#x27;2023-07-19 03:35:30.791000&#x27;,\n",
" &#x27;2023-07-24 03:35:32.589000&#x27;, &#x27;2023-07-29 03:35:31.826000&#x27;,\n",
" &#x27;2023-08-03 03:35:31.242000&#x27;, &#x27;2023-08-08 03:35:31.056000&#x27;,\n",
" &#x27;2023-08-13 03:35:32.189000&#x27;, &#x27;2023-08-18 03:35:32.563000&#x27;,\n",
" &#x27;2023-08-23 03:35:30.964000&#x27;, &#x27;2023-08-28 03:35:32.323000&#x27;,\n",
" &#x27;2023-09-02 03:35:31.370000&#x27;, &#x27;2023-09-07 03:35:31.878000&#x27;,\n",
" &#x27;2023-09-12 03:35:30.073000&#x27;, &#x27;2023-09-17 03:35:30.006000&#x27;,\n",
" &#x27;2023-09-22 03:35:30.187000&#x27;, &#x27;2023-09-27 03:35:28.858000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d870920e-5569-492b-9954-c635a153a52b' class='xr-index-data-in' type='checkbox'/><label for='index-d870920e-5569-492b-9954-c635a153a52b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1072225.0, 1072215.0, 1072205.0, 1072195.0, 1072185.0, 1072175.0,\n",
" 1072165.0, 1072155.0, 1072145.0, 1072135.0,\n",
" ...\n",
" 1067005.0, 1066995.0, 1066985.0, 1066975.0, 1066965.0, 1066955.0,\n",
" 1066945.0, 1066935.0, 1066925.0, 1066915.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=532))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b936f756-1eeb-45f5-b48a-be1e2804cdc0' class='xr-index-data-in' type='checkbox'/><label for='index-b936f756-1eeb-45f5-b48a-be1e2804cdc0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([594975.0, 594985.0, 594995.0, 595005.0, 595015.0, 595025.0, 595035.0,\n",
" 595045.0, 595055.0, 595065.0,\n",
" ...\n",
" 603175.0, 603185.0, 603195.0, 603205.0, 603215.0, 603225.0, 603235.0,\n",
" 603245.0, 603255.0, 603265.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c1f68eb-648f-43db-813f-3fe6727a1cb1' class='xr-section-summary-in' type='checkbox' checked><label for='section-8c1f68eb-648f-43db-813f-3fe6727a1cb1' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 78, y: 532, x: 830)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-09-02T03:35:38.706000 ... 2023-09...\n",
" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 32648\n",
"Data variables:\n",
" blue (time, y, x) float32 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
" green (time, y, x) float32 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
" red (time, y, x) float32 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
" nir (time, y, x) float32 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
" scl (time, y, x) uint8 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref"
]
},
"metadata": {},
"output_type": "display_data"
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}
],
"source": [
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"## truy vấn ảnh vệ tinh sen2\n",
"data = load_data(dc, date_range, longtitude_range, latitude_range)\n",
"notebook_utils.heading(notebook_utils.xarray_object_size(data))\n",
"display(data)"
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]
},
{
"cell_type": "code",
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"execution_count": 5,
"id": "54e04079-2c12-4de1-8541-0579fbfad4a1",
cap nhat thu tu cell code
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"metadata": {
"tags": []
},
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"outputs": [
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{
"data": {
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"{'0': 'no data',\n",
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" '4': 'vegetation',\n",
" '5': 'bare soils',\n",
" '6': 'water',\n",
" '7': 'unclassified',\n",
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" '10': 'thin cirrus',\n",
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{
"name": "stdout",
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"text": [
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"CPU times: user 113 ms, sys: 4.25 ms, total: 117 ms\n",
"Wall time: 114 ms\n"
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]
},
{
"data": {
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"application/vnd.jupyter.widget-view+json": {
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},
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"text/plain": [
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"VBox()"
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]
},
"metadata": {},
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"output_type": "display_data"
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}
],
"source": [
"%%time\n",
Them file 24-9
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"# Tiến hành loại bỏ các vị trí bị mây ảnh hưởng\n",
"result = mask_clean(data)\n",
"progress(result)"
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]
},
{
"cell_type": "code",
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"execution_count": 6,
"id": "565f467b-3002-4d24-a300-d34ce548f7e3",
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"metadata": {
"tags": []
},
"outputs": [
{
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"}\n",
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" display: inline-block;\n",
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" margin: 0;\n",
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"\n",
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"\n",
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".xr-var-dims:hover,\n",
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"\n",
Them file 24-9
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".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
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"\n",
Them file 24-9
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"\n",
Them file 24-9
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;NDVI&#x27; (time: 78, y: 532, x: 830)&gt;\n",
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" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 32648</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'NDVI'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 78</li><li><span class='xr-has-index'>y</span>: 532</li><li><span class='xr-has-index'>x</span>: 830</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8c6769cd-4938-469f-99e8-b5537b8239b9' class='xr-array-in' type='checkbox' checked><label for='section-8c6769cd-4938-469f-99e8-b5537b8239b9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
first commit
2024-08-28 05:10:02 +00:00
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
" <td> 131.38 MiB </td>\n",
" <td> 1.68 MiB </td>\n",
first commit
2024-08-28 05:10:02 +00:00
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (78, 532, 830) </td>\n",
" <td> (1, 532, 830) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
" <td colspan=\"2\"> 78 chunks in 7 graph layers </td>\n",
first commit
2024-08-28 05:10:02 +00:00
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
first commit
2024-08-28 05:10:02 +00:00
" </tr>\n",
" </tbody>\n",
" </table>\n",
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Them file 24-9
2024-09-24 13:58:06 +00:00
"</table></div></div></li><li class='xr-section-item'><input id='section-6892003e-3224-48dd-b6e2-01a4f6e58c38' class='xr-section-summary-in' type='checkbox' checked><label for='section-6892003e-3224-48dd-b6e2-01a4f6e58c38' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-02T03:35:38.706000 ... 2...</div><input id='attrs-bdc74104-b3c7-40e7-bdb7-0de6f31cf8bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdc74104-b3c7-40e7-bdb7-0de6f31cf8bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0797d447-b8b6-4f41-9baf-810173fe89a4' class='xr-var-data-in' type='checkbox'><label for='data-0797d447-b8b6-4f41-9baf-810173fe89a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-02T03:35:38.706000000&#x27;, &#x27;2022-09-07T03:35:28.392000000&#x27;,\n",
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" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.072e+06 1.072e+06 ... 1.067e+06</div><input id='attrs-f44d79aa-c653-451f-a832-a633d298820f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f44d79aa-c653-451f-a832-a633d298820f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f23a8b28-3d20-4633-93e0-c3b884b2876e' class='xr-var-data-in' type='checkbox'><label for='data-f23a8b28-3d20-4633-93e0-c3b884b2876e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([1072225., 1072215., 1072205., ..., 1066935., 1066925., 1066915.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.95e+05 5.95e+05 ... 6.033e+05</div><input id='attrs-7d5143e3-69ba-4561-b217-c2f98d0d105f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d5143e3-69ba-4561-b217-c2f98d0d105f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd9d7fcf-dfe9-4af2-9d61-155f6d9638c7' class='xr-var-data-in' type='checkbox'><label for='data-dd9d7fcf-dfe9-4af2-9d61-155f6d9638c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([594975., 594985., 594995., ..., 603245., 603255., 603265.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>32648</div><input id='attrs-1316d63c-f729-43fd-9ec9-e032cd999f64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1316d63c-f729-43fd-9ec9-e032cd999f64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b7486c4-a81a-440f-a72c-2c2b001ba25e' class='xr-var-data-in' type='checkbox'><label for='data-1b7486c4-a81a-440f-a72c-2c2b001ba25e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 48N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,105],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32648&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(32648, dtype=int32)</pre>
first commit
2024-08-28 05:10:02 +00:00
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" &#x27;2023-01-10 03:35:24.897000&#x27;, &#x27;2023-01-15 03:35:22.879000&#x27;,\n",
" &#x27;2023-01-20 03:35:21.331000&#x27;, &#x27;2023-01-25 03:35:24.561000&#x27;,\n",
" &#x27;2023-01-30 03:35:24.703000&#x27;, &#x27;2023-02-04 03:35:25.086000&#x27;,\n",
" &#x27;2023-02-09 03:35:25.381000&#x27;, &#x27;2023-02-14 03:35:24.987000&#x27;,\n",
" &#x27;2023-02-24 03:35:26.862000&#x27;, &#x27;2023-03-01 03:35:23.929000&#x27;,\n",
" &#x27;2023-03-06 03:35:29.457000&#x27;, &#x27;2023-03-11 03:35:21.972000&#x27;,\n",
" &#x27;2023-03-16 03:35:30.684000&#x27;, &#x27;2023-03-21 03:35:25.016000&#x27;,\n",
" &#x27;2023-03-26 03:35:29.316000&#x27;, &#x27;2023-03-31 03:35:24.882000&#x27;,\n",
" &#x27;2023-04-05 03:35:29.667000&#x27;, &#x27;2023-04-10 03:35:26.745000&#x27;,\n",
" &#x27;2023-04-15 03:35:27.482000&#x27;, &#x27;2023-04-20 03:35:25.073000&#x27;,\n",
" &#x27;2023-04-25 03:35:28.492000&#x27;, &#x27;2023-04-30 03:35:26.887000&#x27;,\n",
" &#x27;2023-05-05 03:35:29.183000&#x27;, &#x27;2023-05-10 03:35:26.031000&#x27;,\n",
" &#x27;2023-05-15 03:35:30.428000&#x27;, &#x27;2023-05-20 03:35:28.932000&#x27;,\n",
" &#x27;2023-05-25 03:35:31.398000&#x27;, &#x27;2023-05-30 03:35:30.380000&#x27;,\n",
" &#x27;2023-06-04 03:35:30.790000&#x27;, &#x27;2023-06-09 03:35:30.281000&#x27;,\n",
" &#x27;2023-06-14 03:35:31.608000&#x27;, &#x27;2023-06-19 03:35:30.646000&#x27;,\n",
" &#x27;2023-06-24 03:35:30.720000&#x27;, &#x27;2023-06-29 03:35:30.713000&#x27;,\n",
" &#x27;2023-07-04 03:35:31.975000&#x27;, &#x27;2023-07-09 03:35:31.850000&#x27;,\n",
" &#x27;2023-07-14 03:35:31.327000&#x27;, &#x27;2023-07-19 03:35:30.791000&#x27;,\n",
" &#x27;2023-07-24 03:35:32.589000&#x27;, &#x27;2023-07-29 03:35:31.826000&#x27;,\n",
" &#x27;2023-08-03 03:35:31.242000&#x27;, &#x27;2023-08-08 03:35:31.056000&#x27;,\n",
" &#x27;2023-08-13 03:35:32.189000&#x27;, &#x27;2023-08-18 03:35:32.563000&#x27;,\n",
" &#x27;2023-08-23 03:35:30.964000&#x27;, &#x27;2023-08-28 03:35:32.323000&#x27;,\n",
" &#x27;2023-09-02 03:35:31.370000&#x27;, &#x27;2023-09-07 03:35:31.878000&#x27;,\n",
" &#x27;2023-09-12 03:35:30.073000&#x27;, &#x27;2023-09-17 03:35:30.006000&#x27;,\n",
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Them file 24-9
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" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cb89e3b6-c45f-4dc6-8cb7-195d3487c3a4' class='xr-index-data-in' type='checkbox'/><label for='index-cb89e3b6-c45f-4dc6-8cb7-195d3487c3a4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1072225.0, 1072215.0, 1072205.0, 1072195.0, 1072185.0, 1072175.0,\n",
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" 1072165.0, 1072155.0, 1072145.0, 1072135.0,\n",
" ...\n",
" 1067005.0, 1066995.0, 1066985.0, 1066975.0, 1066965.0, 1066955.0,\n",
" 1066945.0, 1066935.0, 1066925.0, 1066915.0],\n",
Them file 24-9
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" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=532))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a9f18ef1-2907-4abf-b2bc-fad7bd38cca8' class='xr-index-data-in' type='checkbox'/><label for='index-a9f18ef1-2907-4abf-b2bc-fad7bd38cca8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([594975.0, 594985.0, 594995.0, 595005.0, 595015.0, 595025.0, 595035.0,\n",
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" 595045.0, 595055.0, 595065.0,\n",
" ...\n",
" 603175.0, 603185.0, 603195.0, 603205.0, 603215.0, 603225.0, 603235.0,\n",
" 603245.0, 603255.0, 603265.0],\n",
Them file 24-9
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" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c387566-3253-4266-b895-3760296f27a7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c387566-3253-4266-b895-3760296f27a7' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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],
"text/plain": [
Them file 24-9
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"<xarray.DataArray 'NDVI' (time: 78, y: 532, x: 830)>\n",
"dask.array<truediv, shape=(78, 532, 830), dtype=float32, chunksize=(1, 532, 830), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-09-02T03:35:38.706000 ... 2023-09...\n",
" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 32648"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Tiến hành tính toán NDVI\n",
"ds1 = calculate_indices(result, index='NDVI', satellite_mission='s2')\n",
"ndvi = ds1[\"NDVI\"]\n",
"display(ndvi)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "f3930d43-c159-49bf-8260-68b14681729d",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7fe6dd872d40>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
Them file 24-9
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"## ảnh ndvi chưa fill nan\n",
"plt.imshow(ndvi.isel(time=50))"
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]
},
{
"cell_type": "code",
Them file 24-9
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"execution_count": 8,
"id": "5372d50c-7b05-475e-bdce-ed36a8ea794d",
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"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
Them file 24-9
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"<matplotlib.image.AxesImage at 0x7fe6d9fd0250>"
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]
},
Them file 24-9
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"execution_count": 8,
first commit
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"metadata": {},
Them file 24-9
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"output_type": "execute_result"
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},
{
"data": {
Them file 24-9
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first commit
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
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}
],
"source": [
"# đặt thời gian các mùa\n",
"time_split = [slice('2022-09-01', '2023-01-01'), \n",
" slice('2023-01-01', '2023-05-01'),\n",
" slice('2023-05-01', '2023-07-01'),\n",
" slice('2023-07-01', '2023-10-01')]\n",
"\n",
"# fill nan\n",
"fill_nan_ndvi = fill_nan(ndvi, time_split)\n",
"\n",
"## ảnh ndivi đã fill nan\n",
"plt.imshow(fill_nan_ndvi.isel(time=50))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "4e11434c-24ff-48f4-8611-b3baeb300de3",
"metadata": {
"tags": []
},
"outputs": [
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{
"name": "stdout",
"output_type": "stream",
"text": [
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"CPU times: user 76.8 ms, sys: 3.81 ms, total: 80.6 ms\n",
"Wall time: 79.1 ms\n"
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]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
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"model_id": "cb47eee6851042f080a968d82bba2fa5",
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"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox()"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%time\n",
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"## tính ndvi theo tháng\n",
"average_ndvi = fill_nan_ndvi.resample(time='1M').mean().persist()\n",
"progress(average_ndvi)"
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]
},
{
"cell_type": "code",
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"execution_count": 10,
"id": "a80e2b2c-ef4b-4f39-a8df-11fc4dcd916c",
"metadata": {},
"outputs": [],
"source": [
"# compute average_ndvi\n",
"average_ndvi = average_ndvi.compute()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "34e7fd9c-3a16-4c82-b210-2afc4a84772e",
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"metadata": {
"tags": []
},
"outputs": [
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{
"data": {
"text/html": [
"<h4>Dataset size: 107.81 MB</h4>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
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{
"data": {
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".xr-section-summary {\n",
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" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
Them file 24-9
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 32, y: 532, x: 830)\n",
first commit
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"Coordinates:\n",
Them file 24-9
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" * time (time) datetime64[ns] 2022-09-06T22:46:14.500000 ... 2023-09...\n",
first commit
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" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
Them file 24-9
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" spatial_ref int32 32648\n",
"Data variables:\n",
" vv (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" vh (time, y, x) float32 dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-56daa73e-33c7-4602-9bbb-51a73dac45b4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-56daa73e-33c7-4602-9bbb-51a73dac45b4' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span class='xr-has-index'>y</span>: 532</li><li><span class='xr-has-index'>x</span>: 830</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5a1b187c-7a5b-430e-85d7-9fe88972262f' class='xr-section-summary-in' type='checkbox' checked><label for='section-5a1b187c-7a5b-430e-85d7-9fe88972262f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-06T22:46:14.500000 ... 2...</div><input id='attrs-c1c4574c-014e-4efb-b172-ea14f156427b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1c4574c-014e-4efb-b172-ea14f156427b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-434ddf8c-582c-4639-9219-626842e84ada' class='xr-var-data-in' type='checkbox'><label for='data-434ddf8c-582c-4639-9219-626842e84ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-06T22:46:14.500000000&#x27;, &#x27;2022-09-18T22:46:13.500000000&#x27;,\n",
" &#x27;2022-09-30T22:46:14.500000000&#x27;, &#x27;2022-10-12T22:46:14.500000000&#x27;,\n",
" &#x27;2022-10-24T22:46:14.500000000&#x27;, &#x27;2022-11-05T22:46:14.500000000&#x27;,\n",
" &#x27;2022-11-17T22:46:13.500000000&#x27;, &#x27;2022-11-29T22:46:13.500000000&#x27;,\n",
" &#x27;2022-12-11T22:46:13.500000000&#x27;, &#x27;2022-12-23T22:46:12.500000000&#x27;,\n",
" &#x27;2023-01-04T22:46:11.500000000&#x27;, &#x27;2023-01-16T22:46:10.500000000&#x27;,\n",
" &#x27;2023-01-28T22:46:11.500000000&#x27;, &#x27;2023-02-09T22:46:10.500000000&#x27;,\n",
" &#x27;2023-02-21T22:46:09.500000000&#x27;, &#x27;2023-03-05T22:46:10.500000000&#x27;,\n",
" &#x27;2023-03-17T22:46:10.500000000&#x27;, &#x27;2023-03-29T22:46:10.500000000&#x27;,\n",
" &#x27;2023-04-10T22:46:11.500000000&#x27;, &#x27;2023-04-22T22:46:11.500000000&#x27;,\n",
" &#x27;2023-05-04T22:46:11.500000000&#x27;, &#x27;2023-05-17T11:11:32.500000000&#x27;,\n",
" &#x27;2023-05-29T11:11:32.500000000&#x27;, &#x27;2023-06-21T22:46:13.500000000&#x27;,\n",
" &#x27;2023-07-04T11:11:34.500000000&#x27;, &#x27;2023-07-16T11:11:35.500000000&#x27;,\n",
" &#x27;2023-07-28T11:11:36.500000000&#x27;, &#x27;2023-08-08T22:46:16.500000000&#x27;,\n",
" &#x27;2023-08-20T22:46:17.500000000&#x27;, &#x27;2023-09-01T22:46:18.500000000&#x27;,\n",
" &#x27;2023-09-13T22:46:18.500000000&#x27;, &#x27;2023-09-25T22:46:19.500000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.072e+06 1.072e+06 ... 1.067e+06</div><input id='attrs-e1d3f4ee-9163-4d24-a18f-29394ee24bba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1d3f4ee-9163-4d24-a18f-29394ee24bba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfc79fea-085c-4389-930b-0d3dfb1ee654' class='xr-var-data-in' type='checkbox'><label for='data-cfc79fea-085c-4389-930b-0d3dfb1ee654' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>-10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([1072225., 1072215., 1072205., ..., 1066935., 1066925., 1066915.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.95e+05 5.95e+05 ... 6.033e+05</div><input id='attrs-16e2cad0-1bf2-4fc5-95ac-583598489b86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16e2cad0-1bf2-4fc5-95ac-583598489b86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c31e5b8e-1756-45b5-b641-0c3e32bb79fd' class='xr-var-data-in' type='checkbox'><label for='data-c31e5b8e-1756-45b5-b641-0c3e32bb79fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>metre</dd><dt><span>resolution :</span></dt><dd>10.0</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd></dl></div><div class='xr-var-data'><pre>array([594975., 594985., 594995., ..., 603245., 603255., 603265.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>32648</div><input id='attrs-eec2162c-ff9b-432c-9fed-b62af155e153' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eec2162c-ff9b-432c-9fed-b62af155e153' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-849db1b4-82bb-4a6a-a9bb-80986d3005fd' class='xr-var-data-in' type='checkbox'><label for='data-849db1b4-82bb-4a6a-a9bb-80986d3005fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 48N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,105],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32648&quot;]]</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd></dl></div><div class='xr-var-data'><pre>array(32648, dtype=int32)</pre>
first commit
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" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
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" <td> 53.90 MiB </td>\n",
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" <td> 1.68 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
Them file 24-9
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" <td> (32, 532, 830) </td>\n",
first commit
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" <td> (1, 532, 830) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
Them file 24-9
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" <td colspan=\"2\"> 32 chunks in 1 graph layer </td>\n",
first commit
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" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
Them file 24-9
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" <svg width=\"199\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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"\n",
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first commit
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"\n",
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Them file 24-9
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first commit
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first commit
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first commit
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Them file 24-9
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" </tr>\n",
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vh</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;</div><input id='attrs-f2b16ec4-c94a-4458-be46-7b67b1d6ed8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2b16ec4-c94a-4458-be46-7b67b1d6ed8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46e3b0d9-34a3-44c9-857d-5de3d7bc3f26' class='xr-var-data-in' type='checkbox'><label for='data-46e3b0d9-34a3-44c9-857d-5de3d7bc3f26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>intensity</dd><dt><span>nodata :</span></dt><dd>nan</dd><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><table>\n",
" <tr>\n",
" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
" <td> </td>\n",
" <th> Array </th>\n",
" <th> Chunk </th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" <th> Bytes </th>\n",
" <td> 53.90 MiB </td>\n",
" <td> 1.68 MiB </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <th> Shape </th>\n",
" <td> (32, 532, 830) </td>\n",
" <td> (1, 532, 830) </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Dask graph </th>\n",
" <td colspan=\"2\"> 32 chunks in 1 graph layer </td>\n",
" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" <td>\n",
" <svg width=\"199\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
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" <line x1=\"29\" y1=\"19\" x2=\"149\" y2=\"19\" style=\"stroke-width:2\" />\n",
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" <line x1=\"29\" y1=\"19\" x2=\"29\" y2=\"96\" style=\"stroke-width:2\" />\n",
" <line x1=\"149\" y1=\"19\" x2=\"149\" y2=\"96\" style=\"stroke-width:2\" />\n",
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"\n",
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"\n",
" <!-- Text -->\n",
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" <text x=\"89.358184\" y=\"116.273847\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >830</text>\n",
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"</svg>\n",
" </td>\n",
" </tr>\n",
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"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-9bedce1b-061f-4e28-a169-d3177fb3ceb9' class='xr-section-summary-in' type='checkbox' ><label for='section-9bedce1b-061f-4e28-a169-d3177fb3ceb9' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4323f68e-5b01-431a-bc20-64b1bedcf85b' class='xr-index-data-in' type='checkbox'/><label for='index-4323f68e-5b01-431a-bc20-64b1bedcf85b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-06 22:46:14.500000&#x27;, &#x27;2022-09-18 22:46:13.500000&#x27;,\n",
" &#x27;2022-09-30 22:46:14.500000&#x27;, &#x27;2022-10-12 22:46:14.500000&#x27;,\n",
" &#x27;2022-10-24 22:46:14.500000&#x27;, &#x27;2022-11-05 22:46:14.500000&#x27;,\n",
" &#x27;2022-11-17 22:46:13.500000&#x27;, &#x27;2022-11-29 22:46:13.500000&#x27;,\n",
" &#x27;2022-12-11 22:46:13.500000&#x27;, &#x27;2022-12-23 22:46:12.500000&#x27;,\n",
" &#x27;2023-01-04 22:46:11.500000&#x27;, &#x27;2023-01-16 22:46:10.500000&#x27;,\n",
" &#x27;2023-01-28 22:46:11.500000&#x27;, &#x27;2023-02-09 22:46:10.500000&#x27;,\n",
" &#x27;2023-02-21 22:46:09.500000&#x27;, &#x27;2023-03-05 22:46:10.500000&#x27;,\n",
" &#x27;2023-03-17 22:46:10.500000&#x27;, &#x27;2023-03-29 22:46:10.500000&#x27;,\n",
" &#x27;2023-04-10 22:46:11.500000&#x27;, &#x27;2023-04-22 22:46:11.500000&#x27;,\n",
" &#x27;2023-05-04 22:46:11.500000&#x27;, &#x27;2023-05-17 11:11:32.500000&#x27;,\n",
" &#x27;2023-05-29 11:11:32.500000&#x27;, &#x27;2023-06-21 22:46:13.500000&#x27;,\n",
" &#x27;2023-07-04 11:11:34.500000&#x27;, &#x27;2023-07-16 11:11:35.500000&#x27;,\n",
" &#x27;2023-07-28 11:11:36.500000&#x27;, &#x27;2023-08-08 22:46:16.500000&#x27;,\n",
" &#x27;2023-08-20 22:46:17.500000&#x27;, &#x27;2023-09-01 22:46:18.500000&#x27;,\n",
" &#x27;2023-09-13 22:46:18.500000&#x27;, &#x27;2023-09-25 22:46:19.500000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1dc3c83a-f554-487b-b941-df8aaf26e36b' class='xr-index-data-in' type='checkbox'/><label for='index-1dc3c83a-f554-487b-b941-df8aaf26e36b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1072225.0, 1072215.0, 1072205.0, 1072195.0, 1072185.0, 1072175.0,\n",
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" 1072165.0, 1072155.0, 1072145.0, 1072135.0,\n",
" ...\n",
" 1067005.0, 1066995.0, 1066985.0, 1066975.0, 1066965.0, 1066955.0,\n",
" 1066945.0, 1066935.0, 1066925.0, 1066915.0],\n",
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" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=532))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-63cb7039-3f8b-4793-8f44-bd4816587f56' class='xr-index-data-in' type='checkbox'/><label for='index-63cb7039-3f8b-4793-8f44-bd4816587f56' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([594975.0, 594985.0, 594995.0, 595005.0, 595015.0, 595025.0, 595035.0,\n",
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" 595045.0, 595055.0, 595065.0,\n",
" ...\n",
" 603175.0, 603185.0, 603195.0, 603205.0, 603215.0, 603225.0, 603235.0,\n",
" 603245.0, 603255.0, 603265.0],\n",
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" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-67732efa-7de9-4150-9c72-d82a5251f0cf' class='xr-section-summary-in' type='checkbox' checked><label for='section-67732efa-7de9-4150-9c72-d82a5251f0cf' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
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],
"text/plain": [
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"<xarray.Dataset>\n",
"Dimensions: (time: 32, y: 532, x: 830)\n",
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"Coordinates:\n",
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" * time (time) datetime64[ns] 2022-09-06T22:46:14.500000 ... 2023-09...\n",
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" * y (y) float64 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 5.95e+05 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
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" spatial_ref int32 32648\n",
"Data variables:\n",
" vv (time, y, x) float32 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
" vh (time, y, x) float32 dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# load dữ liệu sen1\n",
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"coordinates = (longtitude_range, latitude_range)\n",
"dsvh, dsvv = load_data_sen1(dc, date_range, coordinates)\n",
"average_vv = calculate_average(dsvv, time_pattern='1M')\n",
"average_vh = calculate_average(dsvh, time_pattern='1M')"
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]
},
{
"cell_type": "code",
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"execution_count": 12,
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"id": "5d29d5cf-31fd-4263-8ae4-2eb9690f739e",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# load model RF\n",
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"loaded_model = joblib.load(os.path.join(\"model_train\", \"model_odc.joblib\"))\n",
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"\n",
"# dự đoán\n",
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"data_array = predict(loaded_model, data.rio.crs, average_ndvi, average_vh, average_vv)"
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]
},
{
"cell_type": "code",
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"execution_count": 13,
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"id": "1e17f18d-0878-43d1-acf6-54dfc9f1a0db",
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"metadata": {
"tags": []
},
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"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
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"/tmp/ipykernel_57197/3809256623.py:26: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
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" cbar.ax.set_yticklabels(labels)\n"
]
},
{
"data": {
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"image/png": "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
add caculate accuracy
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"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
first commit
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"source": [
"# cấu hình màu cho các loại đất\n",
"colors = [\n",
" \"#abcee9\",\n",
" \"#ffef44\",\n",
" \"#c4ff9e\",\n",
" \"#ffd6a8\",\n",
" \"#93ddda\",\n",
" \"#1aeef7\",\n",
" \"#ffa7f2\",\n",
" \"#33ee33\"\n",
"]\n",
"labels = [\n",
" \"Lúa tôm\",\n",
" \"Lúa\",\n",
" \"CHN\",\n",
" \"CLN\",\n",
" \"TS\",\n",
" \"Sông\",\n",
" \"Đất xây dựng\",\n",
" \"Rừng\"\n",
add caculate accuracy
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"]\n",
"# hiển thị phân loại sử dụng đất\n",
"cmap = ListedColormap(colors)\n",
"img = data_array.plot(cmap=cmap, add_colorbar=False)\n",
"cbar = plt.colorbar(img)\n",
"cbar.ax.set_yticklabels(labels)\n",
"plt.title(\"Phân loại sử dụng đất\")\n",
"plt.axis('off')\n",
"plt.show()"
first commit
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]
},
{
"cell_type": "code",
cap nhat thu tu cell code
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"execution_count": 14,
first commit
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"id": "caa6893e-4167-4d85-8c5e-d03cdb55f71f",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/env/lib/python3.10/site-packages/xarray/core/duck_array_ops.py:191: RuntimeWarning: invalid value encountered in cast\n",
" return data.astype(dtype, **kwargs)\n"
]
}
],
"source": [
Them file 24-9
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"## cấu hình shapefile ranh giới thuận hòa và vh vv file\n",
add caculate accuracy
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"thuanhoa_path = \"ThuanHoa/region/ST_ThuanHoa_Boundaryofficially.shp\"\n",
"\n",
first commit
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"# cắt theo ranh giới xã thuận hòa\n",
"region_result = cut_according_shp(thuanhoa_path, average_ndvi, data_array)"
]
},
{
"cell_type": "code",
cap nhat thu tu cell code
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"execution_count": 15,
first commit
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"id": "177a672f-dc68-4987-a3c6-2123dff257c0",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.holoviews_exec.v0+json": "",
"text/html": [
"<div id='p1003'>\n",
Them file 24-9
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" <div id=\"c264602e-3855-4afb-8796-fdafe0b37b20\" data-root-id=\"p1003\" style=\"display: contents;\"></div>\n",
first commit
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"</div>\n",
"<script type=\"application/javascript\">(function(root) {\n",
Them file 24-9
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" var docs_json = {\"dd008106-f688-4bb1-a612-9d27b5cce270\":{\"version\":\"3.2.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1003\",\"attributes\":{\"name\":\"Row00919\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n background-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1006\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.3/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1066\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.3/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1004\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.3/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1005\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.3/dist/bundled/theme/native.css\"}}],\"min_width\":700,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1007\",\"attributes\":{\"name\":\"HSpacer00927\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n background-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1006\"},{\"id\":\"p1004\"},{\"id\":\"p1005\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1015\",\"attributes\":{\"subscribed_events\":{\"type\":\"set\",\"entries\":[\"rangesupdate\"]},\"width\":700,\"height\":300,\"margin\":[5,10],\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1008\",\"attributes\":{\"tags\":[[[\"x\",\"x coordinate of projection\",\"metre\"]],[]],\"start\":592913.3333333334,\"end\":605326.6666666666,\"reset_start\":592913.3333333334,\"reset_end\":605326.6666666666}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1009\",\"attributes\":{\"tags\":[[[\"y\",\"y coordinate of projection\",\"metre\"]],{\"type\":\"map\",\"entries\":[[\"invert_yaxis\",false],[\"autorange\",false]]}],\"start\":1066910.0,\"end\":1072230.0,\"reset_start\":1066910.0,\"reset_end\":1072230.0}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1025\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1026\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1018\",\"attributes\":{\"text\":\"Ph\\u00e2n lo\\u1ea1i s\\u1eed d\\u1ee5ng \\u0111\\u1ea5t\",\"text_color\":\"black\",\"text_font_size\":\"12pt\"}},\"rende
" var render_items = [{\"docid\":\"dd008106-f688-4bb1-a612-9d27b5cce270\",\"roots\":{\"p1003\":\"c264602e-3855-4afb-8796-fdafe0b37b20\"},\"root_ids\":[\"p1003\"]}];\n",
first commit
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" var docs = Object.values(docs_json)\n",
" if (!docs) {\n",
" return\n",
" }\n",
" const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
" const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
" function embed_document(root) {\n",
" var Bokeh = get_bokeh(root)\n",
" Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
" for (const render_item of render_items) {\n",
" for (const root_id of render_item.root_ids) {\n",
"\tconst id_el = document.getElementById(root_id)\n",
"\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
"\t const root_el = id_el.children[0]\n",
"\t root_el.id = root_el.id + '-rendered'\n",
"\t}\n",
" }\n",
" }\n",
" }\n",
" function get_bokeh(root) {\n",
" if (root.Bokeh === undefined) {\n",
" return null\n",
" } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
" if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
"\treturn null\n",
" }\n",
" return root.Bokeh.versions.get(py_version);\n",
" } else if (root.Bokeh.version === py_version) {\n",
" return root.Bokeh\n",
" }\n",
" return null\n",
" }\n",
" function is_loaded(root) {\n",
" var Bokeh = get_bokeh(root)\n",
" return (Bokeh != null && Bokeh.Panel !== undefined)\n",
" }\n",
" if (is_loaded(root)) {\n",
" embed_document(root);\n",
" } else {\n",
" var attempts = 0;\n",
" var timer = setInterval(function(root) {\n",
" if (is_loaded(root)) {\n",
" clearInterval(timer);\n",
" embed_document(root);\n",
" } else if (document.readyState == \"complete\") {\n",
" attempts++;\n",
" if (attempts > 200) {\n",
" clearInterval(timer);\n",
"\t var Bokeh = get_bokeh(root)\n",
"\t if (Bokeh == null || Bokeh.Panel == null) {\n",
" console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
"\t } else {\n",
"\t console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
"\t embed_document(root)\n",
"\t }\n",
" }\n",
" }\n",
" }, 25, root)\n",
" }\n",
"})(window);</script>"
],
"text/plain": [
":DynamicMap []\n",
" :Image [x,y] (value)"
]
},
cap nhat thu tu cell code
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"execution_count": 15,
first commit
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"metadata": {
"application/vnd.holoviews_exec.v0+json": {
"id": "p1003"
}
},
"output_type": "execute_result"
}
],
"source": [
"# hiển thị kết quả phân loại sử dụng đất\n",
"colorval = list(range(len(colors)))\n",
"options = {\n",
" 'title': 'Phân loại sử dụng đất',\n",
" 'cmap': colors,\n",
" 'clim': (0, 8),\n",
" 'aspect': 'equal',\n",
" 'colorbar_opts': {\n",
" 'major_label_overrides': dict(zip(colorval, labels)),\n",
" 'major_label_text_align': 'left',\n",
" 'ticker': FixedTicker(ticks=colorval),\n",
" },\n",
"}\n",
" \n",
"region_result.hvplot(\n",
" rasterize = True, # Use Datashader, particularly useful for dask arrays\n",
" aggregator = reductions.mode(), # Datashader selects mode value, requires 'hv.Image'\n",
").options(opts.Image(**options))"
]
},
{
"cell_type": "code",
cap nhat thu tu cell code
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"execution_count": 16,
first commit
2024-08-28 05:10:02 +00:00
"id": "43580ab8-c637-4e79-b842-0131f970bfac",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Lưu lại kết quả\n",
Them file 24-9
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"region_result.rio.to_raster(\"KetQuaPhanLoaiDatODC.tif\")"
first commit
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]
},
{
"cell_type": "code",
Cap nhat thu tu cell 23-9
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"execution_count": 17,
Them file 24-9
2024-09-24 13:58:06 +00:00
"id": "97ceafd9-5c3f-40db-99b7-b75cd5ecee6a",
cap nhat thu tu cell code
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"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
Them file 24-9
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"độ chính xác: 42.81%\n"
cap nhat thu tu cell code
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]
}
],
"source": [
"# Load dữ liệu test\n",
"test_path = \"ThuanHoa/DataTest/ThuanHoa_DKS_Kappa.shp\" # đường dẫn shp file train\n",
"test = load_train_data(test_path)\n",
"test.head()\n",
"\n",
"# đánh giá độ chính xác\n",
"accuracy_test(test, data_array)"
]
},
{
"cell_type": "code",
Cap nhat thu tu cell 23-9
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"execution_count": 18,
first commit
2024-08-28 05:10:02 +00:00
"id": "a23a5bd1-1a8c-448d-b239-8ba2d8e104f2",
cap nhat thu tu cell code
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"metadata": {
"tags": []
},
first commit
2024-08-28 05:10:02 +00:00
"outputs": [],
"source": [
"# đóng client, cluster\n",
"client.close()\n",
"cluster.close()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "49db198b-588e-403e-8f50-6ffb36b5d3b2",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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