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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
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"outputs": [
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update label mapping and accuracy
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" var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
first commit
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first commit
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first commit
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update label mapping and accuracy
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first commit
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update label mapping and accuracy
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first commit
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],
update label mapping and accuracy
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first commit
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" 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",
" > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
" ),\n",
".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
" background-color: transparent !important;\n",
"}\n",
"</style>"
]
},
"metadata": {},
"output_type": "display_data"
},
update label mapping and accuracy
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{
"data": {
"application/vnd.holoviews_exec.v0+json": "",
"text/html": [
"<div id='p1002'>\n",
update Sen1
2024-10-23 09:06:09 +00:00
" <div id=\"f3c3be5b-5176-4178-bd41-1f802d730ee8\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
update label mapping and accuracy
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"</div>\n",
"<script type=\"application/javascript\">(function(root) {\n",
update Sen1
2024-10-23 09:06:09 +00:00
" var docs_json = {\"b9f89ef2-e54b-4e52-8ea7-709a77684335\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"087e9bae86994c52a461fa6f5e46cfa1\",\"client_comm_id\":\"fe7c35a3eb7a45549ae5599e32846084\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\
" var render_items = [{\"docid\":\"b9f89ef2-e54b-4e52-8ea7-709a77684335\",\"roots\":{\"p1002\":\"f3c3be5b-5176-4178-bd41-1f802d730ee8\"},\"root_ids\":[\"p1002\"]}];\n",
update label mapping and accuracy
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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",
" async function embed_document(root) {\n",
" var Bokeh = get_bokeh(root)\n",
" await 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].hasAttribute('data-root-id')) {\n",
"\t const root_el = id_el.children[0]\n",
"\t root_el.id = root_el.id + '-rendered'\n",
"\t for (const child of root_el.children) {\n",
" // Ensure JupyterLab does not capture keyboard shortcuts\n",
" // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
"\t child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
"\t }\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) {\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>"
]
},
"metadata": {
"application/vnd.holoviews_exec.v0+json": {
"id": "p1002"
}
},
"output_type": "display_data"
},
first commit
2024-08-28 05:10:02 +00:00
{
"data": {
"application/javascript": [
"(function(root) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" var force = true;\n",
update label mapping and accuracy
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" var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
first commit
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" var reloading = true;\n",
" var Bokeh = root.Bokeh;\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",
update label mapping and accuracy
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" window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
" root._bokeh_is_loading = css_urls.length + 0;\n",
first commit
2024-08-28 05:10:02 +00:00
" } 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",
" } 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",
update label mapping and accuracy
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"\ttry {\n",
" inline_js[i].call(root, root.Bokeh);\n",
"\t} catch(e) {\n",
"\t if (!reloading) {\n",
"\t throw e;\n",
"\t }\n",
"\t}\n",
first commit
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" }\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",
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update label mapping and accuracy
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" var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
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first commit
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"\troot.Bokeh = undefined;\n",
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" load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
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" // Give older versions of the autoload script a head-start to ensure\n",
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" setTimeout(load_or_wait, 100)\n",
"}(window));"
],
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
"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 = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = true;\n var Bokeh = root.Bokeh;\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': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\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 } 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 el
first commit
2024-08-28 05:10:02 +00:00
},
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"var CLASS_NAME = 'output';\n",
"\n",
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" * Render data to the DOM node\n",
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" return;\n",
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" }\n",
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" var doc = window.Bokeh.index[id].model.document\n",
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"function handle_kernel_cleanup(event, handle) {\n",
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" window.PyViz.plot_index = {}\n",
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"\n",
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" handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
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"\n",
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" metadata,\n",
" CLASS_NAME,\n",
" EXEC_MIME_TYPE\n",
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" // Render to node\n",
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" render(props, toinsert[0]);\n",
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" }\n",
"\n",
" events.on('output_added.OutputArea', handle_add_output);\n",
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Them file 24-9
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{
"data": {
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update label mapping and accuracy
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" var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
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update label mapping and accuracy
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" window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
" root._bokeh_is_loading = css_urls.length + 0;\n",
Them file 24-9
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" } 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",
" } 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",
update label mapping and accuracy
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"\ttry {\n",
" inline_js[i].call(root, root.Bokeh);\n",
"\t} catch(e) {\n",
"\t if (!reloading) {\n",
"\t throw e;\n",
"\t }\n",
"\t}\n",
Them file 24-9
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" }\n",
" // Cache old bokeh versions\n",
" if (Bokeh != undefined && !reloading) {\n",
"\tvar NewBokeh = root.Bokeh;\n",
"\tif (Bokeh.versions === undefined) {\n",
"\t Bokeh.versions = new Map();\n",
"\t}\n",
"\tif (NewBokeh.version !== Bokeh.version) {\n",
"\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
"\t}\n",
"\troot.Bokeh = Bokeh;\n",
" }} else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!root._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" root._bokeh_failed_load = true;\n",
" }\n",
" root._bokeh_is_initializing = false\n",
" }\n",
"\n",
" function load_or_wait() {\n",
" // Implement a backoff loop that tries to ensure we do not load multiple\n",
" // versions of Bokeh and its dependencies at the same time.\n",
" // In recent versions we use the root._bokeh_is_initializing flag\n",
" // to determine whether there is an ongoing attempt to initialize\n",
" // bokeh, however for backward compatibility we also try to ensure\n",
" // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
" // before older versions are fully initialized.\n",
" if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
" root._bokeh_is_initializing = false;\n",
" root._bokeh_onload_callbacks = undefined;\n",
" console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
" load_or_wait();\n",
" } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
" setTimeout(load_or_wait, 100);\n",
" } else {\n",
" root._bokeh_is_initializing = true\n",
" root._bokeh_onload_callbacks = []\n",
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
" var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
" if (!reloading && !bokeh_loaded) {\n",
Them file 24-9
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"\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));"
],
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
"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 = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = true;\n var Bokeh = root.Bokeh;\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': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\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 } 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 el
Them file 24-9
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},
"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",
" for (var j in nodemap) {\n",
" if (nodemap.hasOwnProperty(j)) {\n",
" 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",
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],
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update Sen1
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"CPU times: user 8.62 s, sys: 6.08 s, total: 14.7 s\n",
"Wall time: 8.56 s\n"
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]
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"%%time\n",
"%matplotlib inline\n",
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update Sen1
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"Starting new cluster.\n",
"CPU times: user 558 ms, sys: 47.8 ms, total: 606 ms\n",
"Wall time: 10.9 s\n"
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update Sen1
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" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-8c65de2e-911a-11ef-809f-ba496ec8b996</p>\n",
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update Sen1
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" <strong>Dashboard: </strong> <a href=\"https://hub.asia.easi-eo.solutions/services/dask-gateway/clusters/easihub.461440310b8b4ed2b4e37952f524a910/status\" target=\"_blank\">https://hub.asia.easi-eo.solutions/services/dask-gateway/clusters/easihub.461440310b8b4ed2b4e37952f524a910/status</a>\n",
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update Sen1
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update Sen1
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" <li><b>Name: </b>easihub.461440310b8b4ed2b4e37952f524a910\n",
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update Sen1
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"<Client: 'tls://10.0.61.9:8786' processes=0 threads=0, memory=0 B>"
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"%%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",
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"## 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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first commit
2024-08-28 05:10:02 +00:00
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Them file 24-9
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"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
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]
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update label mapping and accuracy
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".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",
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 310MB\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
"Dimensions: (time: 78, y: 532, x: 830)\n",
"Coordinates:\n",
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
" * time (time) datetime64[ns] 624B 2022-09-02T03:35:38.706000 ... 20...\n",
" * y (y) float64 4kB 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 7kB 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 4B 32648\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
"Data variables:\n",
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
" red (time, y, x) float32 138MB dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" nir (time, y, x) float32 138MB dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" scl (time, y, x) uint8 34MB dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
"Attributes:\n",
" crs: EPSG:32648\n",
update Sen1
2024-10-23 09:06:09 +00:00
" 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-f12533b1-3791-45ad-8d1b-91338189e325' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f12533b1-3791-45ad-8d1b-91338189e325' 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-f2827d51-a273-4502-9e1f-af8a5ec251ab' class='xr-section-summary-in' type='checkbox' checked><label for='section-f2827d51-a273-4502-9e1f-af8a5ec251ab' 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-6f7ba043-82e7-4351-8a0a-8fd16b67dc92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f7ba043-82e7-4351-8a0a-8fd16b67dc92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7c73deb-aaa5-4c14-9652-bf4a1210e096' class='xr-var-data-in' type='checkbox'><label for='data-b7c73deb-aaa5-4c14-9652-bf4a1210e096' 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",
Them file 24-9
2024-09-24 13:58:06 +00:00
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" &#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",
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update Sen1
2024-10-23 09:06:09 +00:00
" 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-0b2cb58c-1bed-49e5-aa6e-cc8a6a19d83b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b2cb58c-1bed-49e5-aa6e-cc8a6a19d83b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99555933-9ce3-423b-9a06-380393438ff5' class='xr-var-data-in' type='checkbox'><label for='data-99555933-9ce3-423b-9a06-380393438ff5' 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-95006730-4870-4b7c-aeb8-92b5a0a76612' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95006730-4870-4b7c-aeb8-92b5a0a76612' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07ad6f7a-0440-411c-bb3b-284625db0d09' class='xr-var-data-in' type='checkbox'><label for='data-07ad6f7a-0440-411c-bb3b-284625db0d09' 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-1d38428d-f0ed-4a06-8199-dced68e17819' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d38428d-f0ed-4a06-8199-dced68e17819' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62bd207f-8b55-40fe-b61f-6b6b4f326ada' class='xr-var-data-in' type='checkbox'><label for='data-62bd207f-8b55-40fe-b61f-6b6b4f326ada' 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>
Them file 24-9
2024-09-24 13:58:06 +00:00
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" </td>\n",
" </tr>\n",
update Sen1
2024-10-23 09:06:09 +00:00
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nir</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-7a3ff6b6-d01b-49ad-9bb9-5871687267a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a3ff6b6-d01b-49ad-9bb9-5871687267a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f12741c1-1d90-48cf-bd03-f548d63fba68' class='xr-var-data-in' type='checkbox'><label for='data-f12741c1-1d90-48cf-bd03-f548d63fba68' 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'></dl></div><div class='xr-var-data'><table>\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
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" <td>\n",
" <table style=\"border-collapse: collapse;\">\n",
" <thead>\n",
" <tr>\n",
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" \n",
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" </tr>\n",
" <tr>\n",
" <th> Data type </th>\n",
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update Sen1
2024-10-23 09:06:09 +00:00
"</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-d36b1706-39d2-457d-8696-1b194f599a9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d36b1706-39d2-457d-8696-1b194f599a9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b26f4032-46ed-4478-b639-40fb30097558' class='xr-var-data-in' type='checkbox'><label for='data-b26f4032-46ed-4478-b639-40fb30097558' 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",
Them file 24-9
2024-09-24 13:58:06 +00:00
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" <thead>\n",
" <tr>\n",
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update Sen1
2024-10-23 09:06:09 +00:00
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ca3406b-e1c2-4ecb-a867-e4a042f2f8f3' class='xr-section-summary-in' type='checkbox' ><label for='section-9ca3406b-e1c2-4ecb-a867-e4a042f2f8f3' 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-0baa563c-a462-424f-8fb6-3c7452bc6eae' class='xr-index-data-in' type='checkbox'/><label for='index-0baa563c-a462-424f-8fb6-3c7452bc6eae' 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",
Them file 24-9
2024-09-24 13:58:06 +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",
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" &#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",
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" &#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",
update Sen1
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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-e5df0608-c48e-45ae-882f-9e5b830db37c' class='xr-index-data-in' type='checkbox'/><label for='index-e5df0608-c48e-45ae-882f-9e5b830db37c' 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(Float64Index([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",
update Sen1
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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-7ae13693-b621-422b-b316-3ff0d7d5a0f2' class='xr-index-data-in' type='checkbox'/><label for='index-7ae13693-b621-422b-b316-3ff0d7d5a0f2' 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(Float64Index([594975.0, 594985.0, 594995.0, 595005.0, 595015.0, 595025.0,\n",
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" 595035.0, 595045.0, 595055.0, 595065.0,\n",
" ...\n",
" 603175.0, 603185.0, 603195.0, 603205.0, 603215.0, 603225.0,\n",
" 603235.0, 603245.0, 603255.0, 603265.0],\n",
update Sen1
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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-771e12cd-4ae6-4667-89f1-00ac2215d68f' class='xr-section-summary-in' type='checkbox' checked><label for='section-771e12cd-4ae6-4667-89f1-00ac2215d68f' 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> Size: 310MB\n",
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"Dimensions: (time: 78, y: 532, x: 830)\n",
"Coordinates:\n",
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" * time (time) datetime64[ns] 624B 2022-09-02T03:35:38.706000 ... 20...\n",
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" spatial_ref int32 4B 32648\n",
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"Data variables:\n",
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" red (time, y, x) float32 138MB dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
" nir (time, y, x) float32 138MB dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
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"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref"
]
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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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{
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"CPU times: user 79.6 ms, sys: 23.6 ms, total: 103 ms\n",
"Wall time: 86.7 ms\n"
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]
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"VBox()"
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]
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"output_type": "display_data"
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}
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"source": [
"%%time\n",
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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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]
},
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"execution_count": 6,
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"metadata": {
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Them file 24-9
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".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".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",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".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",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".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",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".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",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
first commit
2024-08-28 05:10:02 +00:00
"\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
".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",
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;NDVI&#x27; (time: 78, y: 532, x: 830)&gt; Size: 138MB\n",
Them file 24-9
2024-09-24 13:58:06 +00:00
"dask.array&lt;truediv, shape=(78, 532, 830), dtype=float32, chunksize=(1, 532, 830), chunktype=numpy.ndarray&gt;\n",
"Coordinates:\n",
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
" * time (time) datetime64[ns] 624B 2022-09-02T03:35:38.706000 ... 20...\n",
" * y (y) float64 4kB 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 7kB 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
update Sen1
2024-10-23 09:06:09 +00:00
" spatial_ref int32 4B 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-8f182bf3-e9ea-40fd-8381-b4b69c587797' class='xr-array-in' type='checkbox' checked><label for='section-8f182bf3-e9ea-40fd-8381-b4b69c587797' 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
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" </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
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" </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",
" </td>\n",
" <td>\n",
" <svg width=\"202\" height=\"149\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
"\n",
" <!-- Horizontal lines -->\n",
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"\n",
" <!-- Vertical lines -->\n",
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"\n",
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"\n",
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"</svg>\n",
" </td>\n",
" </tr>\n",
update Sen1
2024-10-23 09:06:09 +00:00
"</table></div></div></li><li class='xr-section-item'><input id='section-9331ac58-20bf-40e7-b1e2-5593d2885091' class='xr-section-summary-in' type='checkbox' checked><label for='section-9331ac58-20bf-40e7-b1e2-5593d2885091' 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-e8977e77-4ab1-4f81-a19d-9d1794c251e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8977e77-4ab1-4f81-a19d-9d1794c251e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a75b0aed-d7e1-4f49-a675-d0aa0af53b3b' class='xr-var-data-in' type='checkbox'><label for='data-a75b0aed-d7e1-4f49-a675-d0aa0af53b3b' 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",
Them file 24-9
2024-09-24 13:58:06 +00:00
" &#x27;2022-09-12T03:35:36.984000000&#x27;, &#x27;2022-09-17T03:35:28.396000000&#x27;,\n",
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update Sen1
2024-10-23 09:06:09 +00:00
" 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-886090ba-dfc9-4969-a901-cd9186b72f69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-886090ba-dfc9-4969-a901-cd9186b72f69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96b1b6f6-1f1d-41c6-b4af-5ad1167ec55b' class='xr-var-data-in' type='checkbox'><label for='data-96b1b6f6-1f1d-41c6-b4af-5ad1167ec55b' 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-ccc5744c-5d54-4a5d-b0b4-f6c8a8ccd54a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccc5744c-5d54-4a5d-b0b4-f6c8a8ccd54a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be49cf95-a80c-4e8f-a51d-eea8b8221cdc' class='xr-var-data-in' type='checkbox'><label for='data-be49cf95-a80c-4e8f-a51d-eea8b8221cdc' 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-68599205-5216-4a1c-9cee-809297abf8c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68599205-5216-4a1c-9cee-809297abf8c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d0d314d-9a38-4a4b-bcdf-2e7ce92a932a' class='xr-var-data-in' type='checkbox'><label for='data-7d0d314d-9a38-4a4b-bcdf-2e7ce92a932a' 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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" &#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",
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" &#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",
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" &#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",
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" &#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",
update Sen1
2024-10-23 09:06:09 +00:00
" 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-4fe953c1-2b12-4001-90e9-20914a907ebf' class='xr-index-data-in' type='checkbox'/><label for='index-4fe953c1-2b12-4001-90e9-20914a907ebf' 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(Float64Index([1072225.0, 1072215.0, 1072205.0, 1072195.0, 1072185.0, 1072175.0,\n",
update label mapping and accuracy
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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",
update Sen1
2024-10-23 09:06:09 +00:00
" 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-ecf847e7-9614-4969-ab9e-cb172f2f7468' class='xr-index-data-in' type='checkbox'/><label for='index-ecf847e7-9614-4969-ab9e-cb172f2f7468' 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(Float64Index([594975.0, 594985.0, 594995.0, 595005.0, 595015.0, 595025.0,\n",
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
" 595035.0, 595045.0, 595055.0, 595065.0,\n",
" ...\n",
" 603175.0, 603185.0, 603195.0, 603205.0, 603215.0, 603225.0,\n",
" 603235.0, 603245.0, 603255.0, 603265.0],\n",
update Sen1
2024-10-23 09:06:09 +00:00
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=830))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83f2ef3e-5fa4-4a78-aa15-c1ba452162b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-83f2ef3e-5fa4-4a78-aa15-c1ba452162b6' 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>"
first commit
2024-08-28 05:10:02 +00:00
],
"text/plain": [
update label mapping and accuracy
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"<xarray.DataArray 'NDVI' (time: 78, y: 532, x: 830)> Size: 138MB\n",
Them file 24-9
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"dask.array<truediv, shape=(78, 532, 830), dtype=float32, chunksize=(1, 532, 830), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
update label mapping and accuracy
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" * time (time) datetime64[ns] 624B 2022-09-02T03:35:38.706000 ... 20...\n",
" * y (y) float64 4kB 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 7kB 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 4B 32648"
Them file 24-9
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]
},
"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": [
update Sen1
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"<matplotlib.image.AxesImage at 0x7fe59b174940>"
Them file 24-9
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]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
update label mapping and accuracy
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"image/png": "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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
double check
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"## ảnh NDVI chưa điền mây (fill nan)\n",
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"plt.imshow(ndvi.isel(time=50))"
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]
},
{
"cell_type": "code",
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"execution_count": 8,
"id": "5372d50c-7b05-475e-bdce-ed36a8ea794d",
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"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
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"<matplotlib.image.AxesImage at 0x7fe5bab22890>"
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]
},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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},
{
"data": {
update label mapping and accuracy
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"image/png": "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"text/plain": [
Them file 24-9
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"<Figure size 640x480 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
Them file 24-9
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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",
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"# Điền mây ở các vị trí mang giá trị nan (fill nan)\n",
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"fill_nan_ndvi = fill_nan(ndvi, time_split)\n",
"\n",
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"# In kết quả ảnh ndvi đã điền mây (đã fill nan)\n",
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"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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{
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"name": "stderr",
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"output_type": "stream",
"text": [
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"<string>:6: FutureWarning: 'M' is deprecated and will be removed in a future version. Please use 'ME' instead of 'M'.\n"
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]
},
{
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"name": "stdout",
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"output_type": "stream",
"text": [
update Sen1
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"CPU times: user 351 ms, sys: 7.66 ms, total: 359 ms\n",
"Wall time: 356 ms\n"
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]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
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"model_id": "a7fa413a6f8c429c864860dd46b54f09",
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"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox()"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%time\n",
Them file 24-9
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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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update label mapping and accuracy
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 113MB\n",
Them file 24-9
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"Dimensions: (time: 32, y: 532, x: 830)\n",
first commit
2024-08-28 05:10:02 +00:00
"Coordinates:\n",
update label mapping and accuracy
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" * time (time) datetime64[ns] 256B 2022-09-06T22:46:14.500000 ... 20...\n",
" * y (y) float64 4kB 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 7kB 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 4B 32648\n",
Them file 24-9
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"Data variables:\n",
update label mapping and accuracy
2024-10-22 07:46:38 +00:00
" vv (time, y, x) float32 57MB dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
" vh (time, y, x) float32 57MB dask.array&lt;chunksize=(1, 532, 830), meta=np.ndarray&gt;\n",
Them file 24-9
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"Attributes:\n",
" crs: EPSG:32648\n",
update Sen1
2024-10-23 09:06:09 +00:00
" 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-f2510e12-7cb1-4798-bb4c-5926469bec61' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f2510e12-7cb1-4798-bb4c-5926469bec61' 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-ae6fe46e-250d-4667-a185-14ee3424ae51' class='xr-section-summary-in' type='checkbox' checked><label for='section-ae6fe46e-250d-4667-a185-14ee3424ae51' 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-a16bcd47-63ba-4c47-a3b2-147513a2ac89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a16bcd47-63ba-4c47-a3b2-147513a2ac89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c068657-7b82-42a3-969e-2bb654c3b04f' class='xr-var-data-in' type='checkbox'><label for='data-3c068657-7b82-42a3-969e-2bb654c3b04f' 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",
Them file 24-9
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" &#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",
update Sen1
2024-10-23 09:06:09 +00:00
" 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-735da749-2136-4252-82a6-a03aef4721cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-735da749-2136-4252-82a6-a03aef4721cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f8f59ce-3239-4a56-ae74-d619f41cd791' class='xr-var-data-in' type='checkbox'><label for='data-9f8f59ce-3239-4a56-ae74-d619f41cd791' 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-0acb7132-583e-4ab7-9161-de0291c4f652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0acb7132-583e-4ab7-9161-de0291c4f652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bb3ad60-aa6a-4ff7-97c2-9c19bafd3f89' class='xr-var-data-in' type='checkbox'><label for='data-3bb3ad60-aa6a-4ff7-97c2-9c19bafd3f89' 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-4b041fcb-6a60-4b16-8e43-de0b1d44ae9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b041fcb-6a60-4b16-8e43-de0b1d44ae9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb4d7937-4053-4cd8-ab25-aba358849331' class='xr-var-data-in' type='checkbox'><label for='data-bb4d7937-4053-4cd8-ab25-aba358849331' 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",
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" <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
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" <td> 53.90 MiB </td>\n",
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" <td> 1.68 MiB </td>\n",
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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",
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" <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",
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" <th> Data type </th>\n",
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Them file 24-9
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update Sen1
2024-10-23 09:06:09 +00:00
"</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-f815043e-da55-4d0e-8516-7bc96aecbbf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f815043e-da55-4d0e-8516-7bc96aecbbf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8df30f0-2bcd-4868-b42c-e23817c3a619' class='xr-var-data-in' type='checkbox'><label for='data-c8df30f0-2bcd-4868-b42c-e23817c3a619' 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",
Them file 24-9
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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",
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" <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",
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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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" <text x=\"89.358184\" y=\"116.273847\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >830</text>\n",
" <text x=\"169.358184\" y=\"57.816016\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,169.358184,57.816016)\">532</text>\n",
" <text x=\"9.679092\" y=\"106.594755\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,9.679092,106.594755)\">32</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-fa28f2b9-0a3f-4583-958d-db991fc18f08' class='xr-section-summary-in' type='checkbox' ><label for='section-fa28f2b9-0a3f-4583-958d-db991fc18f08' 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-89e45155-c8a9-489e-b77a-7f76b6ae0a07' class='xr-index-data-in' type='checkbox'/><label for='index-89e45155-c8a9-489e-b77a-7f76b6ae0a07' 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",
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" &#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",
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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-5eee9cd5-b46f-4488-b5a5-9770f323490b' class='xr-index-data-in' type='checkbox'/><label for='index-5eee9cd5-b46f-4488-b5a5-9770f323490b' 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(Float64Index([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-4f187660-d35e-4539-a131-12386a669191' class='xr-index-data-in' type='checkbox'/><label for='index-4f187660-d35e-4539-a131-12386a669191' 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(Float64Index([594975.0, 594985.0, 594995.0, 595005.0, 595015.0, 595025.0,\n",
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" 595035.0, 595045.0, 595055.0, 595065.0,\n",
" ...\n",
" 603175.0, 603185.0, 603195.0, 603205.0, 603215.0, 603225.0,\n",
" 603235.0, 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-56c5e2d5-2207-4892-abab-3cd7db5744cf' class='xr-section-summary-in' type='checkbox' checked><label for='section-56c5e2d5-2207-4892-abab-3cd7db5744cf' 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> Size: 113MB\n",
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"Dimensions: (time: 32, y: 532, x: 830)\n",
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"Coordinates:\n",
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" * time (time) datetime64[ns] 256B 2022-09-06T22:46:14.500000 ... 20...\n",
" * y (y) float64 4kB 1.072e+06 1.072e+06 ... 1.067e+06 1.067e+06\n",
" * x (x) float64 7kB 5.95e+05 5.95e+05 ... 6.033e+05 6.033e+05\n",
" spatial_ref int32 4B 32648\n",
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"Data variables:\n",
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" vv (time, y, x) float32 57MB dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
" vh (time, y, x) float32 57MB dask.array<chunksize=(1, 532, 830), meta=np.ndarray>\n",
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"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref"
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]
},
"metadata": {},
"output_type": "display_data"
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},
{
"name": "stderr",
"output_type": "stream",
"text": [
"<string>:6: FutureWarning: 'M' is deprecated and will be removed in a future version. Please use 'ME' instead of 'M'.\n",
"<string>:6: FutureWarning: 'M' is deprecated and will be removed in a future version. Please use 'ME' instead of 'M'.\n"
]
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}
],
"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_159/3809256623.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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"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
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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",
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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()"
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]
},
{
"cell_type": "code",
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"execution_count": 14,
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"id": "caa6893e-4167-4d85-8c5e-d03cdb55f71f",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
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"/env/lib/python3.10/site-packages/xarray/core/duck_array_ops.py:215: RuntimeWarning: invalid value encountered in cast\n",
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" return data.astype(dtype, **kwargs)\n"
]
}
],
"source": [
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"## cấu hình shapefile ranh giới thuận hòa và vh vv file\n",
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"thuanhoa_path = \"ThuanHoa/region/ST_ThuanHoa_Boundaryofficially.shp\"\n",
"\n",
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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",
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"execution_count": 15,
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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": [
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"<div id='p1005'>\n",
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" <div id=\"f8155ec1-3362-4023-92ef-7c810ed0a012\" data-root-id=\"p1005\" style=\"display: contents;\"></div>\n",
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"</div>\n",
"<script type=\"application/javascript\">(function(root) {\n",
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" var docs_json = {\"43eb90b1-0891-4e13-ac34-05ad45fbfb33\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1005\",\"attributes\":{\"name\":\"Row00924\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n background-color: #c3c3c3;\\n mask-size: auto calc(min(50%, 400px));\\n -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1008\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1072\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1006\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1007\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/bundled/theme/native.css\"}}],\"min_width\":700,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1009\",\"attributes\":{\"name\":\"HSpacer00928\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n background-color: #c3c3c3;\\n mask-size: auto calc(min(50%, 400px));\\n -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1008\"},{\"id\":\"p1006\"},{\"id\":\"p1007\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1017\",\"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\":\"p1010\",\"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\":\"p1011\",\"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\":\"p1027\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1028\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1020\",\"attributes\":{\"text\":\"Ph\\u00e2n lo\\u1ea1i s\\u1eed d\\u1ee5ng \\u0111\\u1ea5t\",\"text_color\":\"black\",\"text_font_size\":\"12pt\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1061\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1049\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1050\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1051\"},\"data\":{\"type\":\"map\",\"entries\":[[\"x\",[594970.0]],[\"y\",[1066910.0]],[\"dw\",[8300.0]],[\"dh\",[5320.0]],[\"image\",[{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAA
" var render_items = [{\"docid\":\"43eb90b1-0891-4e13-ac34-05ad45fbfb33\",\"roots\":{\"p1005\":\"f8155ec1-3362-4023-92ef-7c810ed0a012\"},\"root_ids\":[\"p1005\"]}];\n",
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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",
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" async function embed_document(root) {\n",
first commit
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" var Bokeh = get_bokeh(root)\n",
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" await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
first commit
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" 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",
update label mapping and accuracy
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"\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
first commit
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"\t const root_el = id_el.children[0]\n",
"\t root_el.id = root_el.id + '-rendered'\n",
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"\t for (const child of root_el.children) {\n",
" // Ensure JupyterLab does not capture keyboard shortcuts\n",
" // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
"\t child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
"\t }\n",
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"\t}\n",
" }\n",
" }\n",
" }\n",
" function get_bokeh(root) {\n",
" if (root.Bokeh === undefined) {\n",
" return null\n",
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" } else if (root.Bokeh.version !== py_version) {\n",
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" 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": {
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"id": "p1005"
first commit
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}
},
"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",
double check
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" rasterize = True, # Use Datashader, particularly useful for dask arrays\n",
" aggregator = reductions.mode(), # Datashader selects mode value, requires 'hv.Image'\n",
first commit
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").options(opts.Image(**options))"
]
},
{
"cell_type": "code",
cap nhat thu tu cell code
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"execution_count": 16,
first commit
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"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",
double check
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"execution_count": 17,
first commit
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"id": "a23a5bd1-1a8c-448d-b239-8ba2d8e104f2",
cap nhat thu tu cell code
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"metadata": {
"tags": []
},
first commit
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"outputs": [],
"source": [
"# đóng client, cluster\n",
"client.close()\n",
"cluster.close()"
]
},
{
"cell_type": "code",
"execution_count": null,
double check
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"id": "4d9b1bb0-006c-4568-9712-40703f4d2e24",
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"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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