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test dl vh vv from odc
2024-09-12 13:02:51 +00:00
{
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" };\n",
"\n",
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" const element = document.createElement(\"style\");\n",
" element.appendChild(document.createTextNode(css));\n",
" document.body.appendChild(element);\n",
" }\n",
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" var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.2.min.js\", \"https://cdn.holoviz.org/panel/1.2.3/dist/panel.min.js\"];\n",
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" }\n",
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"}(window));"
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"\n",
"\n",
"var JS_MIME_TYPE = 'application/javascript';\n",
"var HTML_MIME_TYPE = 'text/html';\n",
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" var scripts = [];\n",
" var nodelist = html_node.querySelectorAll(\"script\");\n",
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" output_area._hv_plot_id = id;\n",
" if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
" window.PyViz.plot_index[id] = Bokeh.index[id];\n",
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" var server_id = handle.cell.output_area._bokeh_server_id;\n",
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" comm.send({event_type: 'delete', 'id': id});\n",
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" var doc = window.Bokeh.index[id].model.document\n",
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" window.Bokeh.documents.splice(i, 1);\n",
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" delete PyViz.comms[\"hv-extension-comm\"];\n",
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" CLASS_NAME,\n",
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" render(props, toinsert[0]);\n",
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"\n",
" events.on('output_added.OutputArea', handle_add_output);\n",
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" OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
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" index: 0\n",
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"\n",
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" try {\n",
" var events = require('base/js/events');\n",
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" }\n",
" } catch(err) {\n",
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],
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" require([\"jspanel\"], function(jsPanel) {\n",
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"\ton_load()\n",
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" require([\"jspanel-dock\"], function() {\n",
"\ton_load()\n",
" })\n",
" require([\"gridstack\"], function(GridStack) {\n",
"\twindow.GridStack = GridStack\n",
"\ton_load()\n",
" })\n",
" require([\"notyf\"], function() {\n",
"\ton_load()\n",
" })\n",
" root._bokeh_is_loading = css_urls.length + 9;\n",
" } else {\n",
" root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
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" var link = links[i]\n",
" if (link.href != null) {\n",
"\texisting_stylesheets.push(link.href)\n",
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" for (var i = 0; i < css_urls.length; i++) {\n",
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" const element = document.createElement(\"link\");\n",
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" element.rel = \"stylesheet\";\n",
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" element.href = url;\n",
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
" document.body.appendChild(element);\n",
" } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
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" var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
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" }\n",
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" var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
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" }\n",
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"\texisting_scripts.push(script.src)\n",
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" }\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
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" var element = document.createElement('script');\n",
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" element.async = false;\n",
" element.src = url;\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" for (var i = 0; i < js_modules.length; i++) {\n",
" var url = js_modules[i];\n",
" if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
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" var element = document.createElement('script');\n",
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" element.onerror = on_error;\n",
" element.async = false;\n",
" element.src = url;\n",
" element.type = \"module\";\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" for (const name in js_exports) {\n",
" var url = js_exports[name];\n",
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" var element = document.createElement('script');\n",
" element.onerror = on_error;\n",
" element.async = false;\n",
" element.type = \"module\";\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" element.textContent = `\n",
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" window._bokeh_on_load()\n",
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"\n",
" function inject_raw_css(css) {\n",
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" var js_urls = [];\n",
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" var inline_js = [ function(Bokeh) {\n",
" Bokeh.set_log_level(\"info\");\n",
" },\n",
"function(Bokeh) {} // ensure no trailing comma for IE\n",
" ];\n",
"\n",
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" if ((root.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
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"\tif (Bokeh.versions === undefined) {\n",
"\t Bokeh.versions = new Map();\n",
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"\tif (NewBokeh.version !== Bokeh.version) {\n",
"\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
"\t}\n",
"\troot.Bokeh = Bokeh;\n",
" }} else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!root._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" root._bokeh_failed_load = true;\n",
" }\n",
" root._bokeh_is_initializing = false\n",
" }\n",
"\n",
" function load_or_wait() {\n",
" // Implement a backoff loop that tries to ensure we do not load multiple\n",
" // versions of Bokeh and its dependencies at the same time.\n",
" // In recent versions we use the root._bokeh_is_initializing flag\n",
" // to determine whether there is an ongoing attempt to initialize\n",
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" // Give older versions of the autoload script a head-start to ensure\n",
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"}(window));"
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" \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",
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" var div = document.createElement(\"div\");\n",
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" node.appendChild(div);\n",
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"\n",
"/**\n",
" * Handle when a new output is added\n",
" */\n",
"function handle_add_output(event, handle) {\n",
" var output_area = handle.output_area;\n",
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" 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",
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" var nchildren = toinsert.length;\n",
" var html_node = toinsert[nchildren-1].children[0];\n",
" html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
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" toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
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" 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",
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" 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",
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" output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
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"\n",
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" var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
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" return;\n",
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" doc.clear();\n",
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"\n",
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" register_renderer(events, OutputArea);\n",
" }\n",
" } catch(err) {\n",
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],
"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
},
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"name": "stdout",
"output_type": "stream",
"text": [
sowme change to clean
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"Starting new cluster.\n"
test dl vh vv from odc
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]
},
{
"data": {
"text/plain": [
sowme change to clean
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"<botocore.credentials.Credentials at 0x7fbb69a29d50>"
test dl vh vv from odc
2024-09-12 13:02:51 +00:00
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"%matplotlib inline\n",
"from new_import import *\n",
"\n",
"\n",
"# Dask gateway\n",
"cluster, client = notebook_utils.initialize_dask(use_gateway=True, workers=(1,4))\n",
"dc = datacube.Datacube()\n",
"\n",
sowme change to clean
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"\n",
test dl vh vv from odc
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"# Configure s3 access\n",
"configure_s3_access(aws_unsigned=False, requester_pays=True, client=client)\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
sowme change to clean
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"id": "4404b959-1bc3-463c-87d1-00a113994916",
test dl vh vv from odc
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"metadata": {
"tags": []
},
"outputs": [
{
"data": {
sowme change to clean
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"text/html": [
"<h4>Dataset size: 21.60 GB</h4>"
],
test dl vh vv from odc
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"text/plain": [
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"<IPython.core.display.HTML object>"
]
},
"metadata": {},
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{
"data": {
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"<defs>\n",
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"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
" --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
" --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
" --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
" --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
" --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
" --xr-background-color: var(--jp-layout-color0, white);\n",
" --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
" --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
"}\n",
"\n",
"html[theme=dark],\n",
"body[data-theme=dark],\n",
"body.vscode-dark {\n",
" --xr-font-color0: rgba(255, 255, 255, 1);\n",
" --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
" --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
" --xr-border-color: #1F1F1F;\n",
" --xr-disabled-color: #515151;\n",
" --xr-background-color: #111111;\n",
" --xr-background-color-row-even: #111111;\n",
" --xr-background-color-row-odd: #313131;\n",
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".xr-wrap {\n",
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" min-width: 300px;\n",
" max-width: 700px;\n",
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".xr-text-repr-fallback {\n",
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"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
" margin-bottom: 4px;\n",
" border-bottom: solid 1px var(--xr-border-color);\n",
"}\n",
"\n",
".xr-header > div,\n",
".xr-header > ul {\n",
" display: inline;\n",
" margin-top: 0;\n",
" margin-bottom: 0;\n",
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"\n",
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".xr-array-name {\n",
" margin-left: 2px;\n",
" margin-right: 10px;\n",
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"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
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"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
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".xr-section-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
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"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
"}\n",
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".xr-section-summary {\n",
" grid-column: 1;\n",
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".xr-section-summary > span {\n",
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" padding-left: 0.5em;\n",
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".xr-section-summary-in:disabled + label {\n",
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".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
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" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
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"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
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".xr-section-summary-in:checked + label:before {\n",
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".xr-section-summary-in:checked + label > span {\n",
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"\n",
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".xr-section-summary-in:checked ~ .xr-section-details {\n",
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".xr-preview {\n",
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".xr-array-data {\n",
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".xr-array-in:checked ~ .xr-array-data,\n",
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".xr-dim-list li {\n",
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".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 33, y: 8874, x: 9902)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-09-06T22:46:14.500000 ... 2023-09...\n",
" * y (y) float64 1.106e+06 1.106e+06 ... 1.017e+06 1.017e+06\n",
" * x (x) float64 5.548e+05 5.548e+05 ... 6.538e+05 6.538e+05\n",
" spatial_ref int32 32648\n",
"Data variables:\n",
" vv (time, y, x) float32 dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
" vh (time, y, x) float32 dask.array&lt;chunksize=(1, 2048, 2048), meta=np.ndarray&gt;\n",
"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-46ccbda5-ef54-4614-bf84-c7ed0ef5412d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46ccbda5-ef54-4614-bf84-c7ed0ef5412d' 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>: 33</li><li><span class='xr-has-index'>y</span>: 8874</li><li><span class='xr-has-index'>x</span>: 9902</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-633e4d00-69b5-46af-93bc-6e8ff53dec24' class='xr-section-summary-in' type='checkbox' checked><label for='section-633e4d00-69b5-46af-93bc-6e8ff53dec24' 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-2b519e0a-f7df-4c42-8072-8c1b88aa8e0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b519e0a-f7df-4c42-8072-8c1b88aa8e0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c154359b-85fb-4758-8ac6-aa57f5690460' class='xr-var-data-in' type='checkbox'><label for='data-c154359b-85fb-4758-8ac6-aa57f5690460' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>seconds since 1970-01-01 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-06T22:46:14.500000000&#x27;, &#x27;2022-09-18T22:46:13.500000000&#x27;,\n",
" &#x27;2022-09-30T22:46:14.500000000&#x27;, &#x27;2022-10-12T22:46:14.500000000&#x27;,\n",
" &#x27;2022-10-24T22:46:14.500000000&#x27;, &#x27;2022-11-05T22:46:14.500000000&#x27;,\n",
" &#x27;2022-11-17T22:46:13.500000000&#x27;, &#x27;2022-11-29T22:46:13.500000000&#x27;,\n",
" &#x27;2022-12-11T22:46:13.500000000&#x27;, &#x27;2022-12-23T22:46:12.500000000&#x27;,\n",
" &#x27;2023-01-04T22:46:11.500000000&#x27;, &#x27;2023-01-16T22:46:10.500000000&#x27;,\n",
" &#x27;2023-01-28T22:46:11.500000000&#x27;, &#x27;2023-02-09T22:46:10.500000000&#x27;,\n",
" &#x27;2023-02-21T22:46:09.500000000&#x27;, &#x27;2023-03-05T22:46:10.500000000&#x27;,\n",
" &#x27;2023-03-17T22:46:10.500000000&#x27;, &#x27;2023-03-29T22:46:10.500000000&#x27;,\n",
" &#x27;2023-04-10T22:46:11.500000000&#x27;, &#x27;2023-04-22T22:46:11.500000000&#x27;,\n",
" &#x27;2023-05-04T22:46:11.500000000&#x27;, &#x27;2023-05-17T11:11:32.500000000&#x27;,\n",
" &#x27;2023-05-29T11:11:32.500000000&#x27;, &#x27;2023-06-10T11:11:28.500000000&#x27;,\n",
" &#x27;2023-06-21T22:46:13.500000000&#x27;, &#x27;2023-07-04T11:11:34.500000000&#x27;,\n",
" &#x27;2023-07-16T11:11:35.500000000&#x27;, &#x27;2023-07-28T11:11:36.500000000&#x27;,\n",
" &#x27;2023-08-08T22:46:16.500000000&#x27;, &#x27;2023-08-20T22:46:17.500000000&#x27;,\n",
" &#x27;2023-09-01T22:46:18.500000000&#x27;, &#x27;2023-09-13T22:46:18.500000000&#x27;,\n",
" &#x27;2023-09-25T22:46:19.500000000&#x27;], 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'>1.106e+06 1.106e+06 ... 1.017e+06</div><input id='attrs-cdf7965d-9b89-4f62-bc43-a3586ff53e82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdf7965d-9b89-4f62-bc43-a3586ff53e82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08de6ddd-02f2-4626-9d86-5991c68e9df8' class='xr-var-data-in' type='checkbox'><label for='data-08de6ddd-02f2-4626-9d86-5991c68e9df8' 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([1105735., 1105725., 1105715., ..., 1017025., 1017015., 1017005.])</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'>5.548e+05 5.548e+05 ... 6.538e+05</div><input id='attrs-a994477e-4bed-4208-8b03-593fbcbb7ffc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a994477e-4bed-4208-8b03-593fbcbb7ffc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19b005ed-a757-476c-9d40-32784cb462af' class='xr-var-data-in' type='checkbox'><label for='data-19b005ed-a757-476c-9d40-32784cb462af' 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([554795., 554805., 554815., ..., 653785., 653795., 653805.])</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-74505544-48d7-4c94-9e74-eb94a0d29eb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74505544-48d7-4c94-9e74-eb94a0d29eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adf412c0-e36a-4ab5-ad70-3e3e30bf7454' class='xr-var-data-in' type='checkbox'><label for='data-adf412c0-e36a-4ab5-ad70-3e3e30bf7454' 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
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" <text x=\"164.948598\" y=\"68.719553\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,68.719553)\">8874</text>\n",
" <text x=\"7.474299\" y=\"135.016210\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,135.016210)\">33</text>\n",
"</svg>\n",
" </td>\n",
" </tr>\n",
"</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e1e7c4c-a2ff-4ed8-b7aa-bcb1550e453d' class='xr-section-summary-in' type='checkbox' ><label for='section-0e1e7c4c-a2ff-4ed8-b7aa-bcb1550e453d' 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-5444cc56-bfa3-4e97-a122-bc4e2ec9caee' class='xr-index-data-in' type='checkbox'/><label for='index-5444cc56-bfa3-4e97-a122-bc4e2ec9caee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-06 22:46:14.500000&#x27;, &#x27;2022-09-18 22:46:13.500000&#x27;,\n",
" &#x27;2022-09-30 22:46:14.500000&#x27;, &#x27;2022-10-12 22:46:14.500000&#x27;,\n",
" &#x27;2022-10-24 22:46:14.500000&#x27;, &#x27;2022-11-05 22:46:14.500000&#x27;,\n",
" &#x27;2022-11-17 22:46:13.500000&#x27;, &#x27;2022-11-29 22:46:13.500000&#x27;,\n",
" &#x27;2022-12-11 22:46:13.500000&#x27;, &#x27;2022-12-23 22:46:12.500000&#x27;,\n",
" &#x27;2023-01-04 22:46:11.500000&#x27;, &#x27;2023-01-16 22:46:10.500000&#x27;,\n",
" &#x27;2023-01-28 22:46:11.500000&#x27;, &#x27;2023-02-09 22:46:10.500000&#x27;,\n",
" &#x27;2023-02-21 22:46:09.500000&#x27;, &#x27;2023-03-05 22:46:10.500000&#x27;,\n",
" &#x27;2023-03-17 22:46:10.500000&#x27;, &#x27;2023-03-29 22:46:10.500000&#x27;,\n",
" &#x27;2023-04-10 22:46:11.500000&#x27;, &#x27;2023-04-22 22:46:11.500000&#x27;,\n",
" &#x27;2023-05-04 22:46:11.500000&#x27;, &#x27;2023-05-17 11:11:32.500000&#x27;,\n",
" &#x27;2023-05-29 11:11:32.500000&#x27;, &#x27;2023-06-10 11:11:28.500000&#x27;,\n",
" &#x27;2023-06-21 22:46:13.500000&#x27;, &#x27;2023-07-04 11:11:34.500000&#x27;,\n",
" &#x27;2023-07-16 11:11:35.500000&#x27;, &#x27;2023-07-28 11:11:36.500000&#x27;,\n",
" &#x27;2023-08-08 22:46:16.500000&#x27;, &#x27;2023-08-20 22:46:17.500000&#x27;,\n",
" &#x27;2023-09-01 22:46:18.500000&#x27;, &#x27;2023-09-13 22:46:18.500000&#x27;,\n",
" &#x27;2023-09-25 22:46:19.500000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-792837c8-98df-4d39-9608-babc232302b6' class='xr-index-data-in' type='checkbox'/><label for='index-792837c8-98df-4d39-9608-babc232302b6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1105735.0, 1105725.0, 1105715.0, 1105705.0, 1105695.0, 1105685.0,\n",
" 1105675.0, 1105665.0, 1105655.0, 1105645.0,\n",
" ...\n",
" 1017095.0, 1017085.0, 1017075.0, 1017065.0, 1017055.0, 1017045.0,\n",
" 1017035.0, 1017025.0, 1017015.0, 1017005.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=8874))</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-3001375e-8564-4cb2-98e2-8b62f505def6' class='xr-index-data-in' type='checkbox'/><label for='index-3001375e-8564-4cb2-98e2-8b62f505def6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([554795.0, 554805.0, 554815.0, 554825.0, 554835.0, 554845.0, 554855.0,\n",
" 554865.0, 554875.0, 554885.0,\n",
" ...\n",
" 653715.0, 653725.0, 653735.0, 653745.0, 653755.0, 653765.0, 653775.0,\n",
" 653785.0, 653795.0, 653805.0],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=9902))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63b00c7f-a5ac-4a32-9ee6-94bf854193f8' class='xr-section-summary-in' type='checkbox' checked><label for='section-63b00c7f-a5ac-4a32-9ee6-94bf854193f8' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>crs :</span></dt><dd>EPSG:32648</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 33, y: 8874, x: 9902)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2022-09-06T22:46:14.500000 ... 2023-09...\n",
" * y (y) float64 1.106e+06 1.106e+06 ... 1.017e+06 1.017e+06\n",
" * x (x) float64 5.548e+05 5.548e+05 ... 6.538e+05 6.538e+05\n",
" spatial_ref int32 32648\n",
"Data variables:\n",
" vv (time, y, x) float32 dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
" vh (time, y, x) float32 dask.array<chunksize=(1, 2048, 2048), meta=np.ndarray>\n",
"Attributes:\n",
" crs: EPSG:32648\n",
" grid_mapping: spatial_ref"
test dl vh vv from odc
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]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
sowme change to clean
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"ds = dc.load(\n",
test dl vh vv from odc
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" product=\"sentinel1_grd_gamma0_20m\",\n",
" x=(105.5, 106.4),\n",
" y=(9.2, 10.0),\n",
sowme change to clean
2024-09-18 14:26:05 +00:00
" time=(\"2022-09-01\", \"2023-10-01\"),\n",
" measurements=[\"vv\", \"vh\"],\n",
" output_crs=\"EPSG:32648\",\n",
" resolution=(-10,10),\n",
" dask_chunks={\"x\":2048, \"y\":2048},\n",
" skip_broken_datasets=True,\n",
" group_by=\"solar_day\"\n",
test dl vh vv from odc
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")\n",
sowme change to clean
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"notebook_utils.heading(notebook_utils.xarray_object_size(ds))\n",
"ds"
test dl vh vv from odc
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]
},
{
"cell_type": "code",
sowme change to clean
2024-09-18 14:26:05 +00:00
"execution_count": 18,
"id": "ed0aa91a-808f-4189-9c20-0ba8ea1a05e5",
test dl vh vv from odc
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"metadata": {
"tags": []
},
sowme change to clean
2024-09-18 14:26:05 +00:00
"outputs": [],
test dl vh vv from odc
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"source": [
sowme change to clean
2024-09-18 14:26:05 +00:00
"vh = ds.vh.resample(time='1M').mean().persist()\n",
"vh = vh.compute()\n",
"vv = ds.vv.resample(time='1M').mean().persist()\n",
"vv = vv.compute()\n",
"\n"
test dl vh vv from odc
2024-09-12 13:02:51 +00:00
]
},
{
"cell_type": "code",
sowme change to clean
2024-09-18 14:26:05 +00:00
"execution_count": 28,
"id": "bd76d709-8658-48c0-86e2-de7ce1269ba0",
test dl vh vv from odc
2024-09-12 13:02:51 +00:00
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
sowme change to clean
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".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;vv&#x27; ()&gt;\n",
"array(-79.01979828)\n",
"Coordinates:\n",
" spatial_ref int32 32648</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vv'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fce55dad-004e-471a-88f8-2c9ccb24f502' class='xr-array-in' type='checkbox' checked><label for='section-fce55dad-004e-471a-88f8-2c9ccb24f502' 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>-79.02</span></div><div class='xr-array-data'><pre>array(-79.01979828)</pre></div></div></li><li class='xr-section-item'><input id='section-c1881d09-4710-43ab-b6ee-a39d6841b4a4' class='xr-section-summary-in' type='checkbox' checked><label for='section-c1881d09-4710-43ab-b6ee-a39d6841b4a4' class='xr-section-summary' >Coordinates: <span>(1)</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>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-1452a4bf-c5f7-423f-81ac-bd88491048b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1452a4bf-c5f7-423f-81ac-bd88491048b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00ab9e8b-05ce-44e6-b7ed-7c18c79dc1dd' class='xr-var-data-in' type='checkbox'><label for='data-00ab9e8b-05ce-44e6-b7ed-7c18c79dc1dd' 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></div></li></ul></div></li><li class='xr-section-item'><input id='section-026f74ca-d59f-4dd9-938a-c330a5923a65' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-026f74ca-d59f-4dd9-938a-c330a5923a65' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-efa3a1e9-e71b-456f-b3f3-ae4d235b5a4c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-efa3a1e9-e71b-456f-b3f3-ae4d235b5a4c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
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"text/plain": [
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"<xarray.DataArray 'vv' ()>\n",
"array(-79.01979828)\n",
"Coordinates:\n",
" spatial_ref int32 32648"
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]
},
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"execution_count": 28,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"vv.min()"
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]
},
{
"cell_type": "code",
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"execution_count": 33,
"id": "0021c47b-fef2-4633-9bec-cee1867eb0e7",
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"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
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"<Figure size 640x480 with 2 Axes>"
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]
},
"metadata": {},
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"output_type": "display_data"
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}
],
"source": [
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"import matplotlib.pyplot as plt\n",
"\n",
"# Plot the data\n",
"plt.imshow(vh.isel(time=0), cmap='viridis', vmin=0, vmax=1)\n",
"plt.colorbar() # Add colorbar for reference\n",
"plt.show()\n"
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]
},
{
"cell_type": "code",
"execution_count": null,
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"id": "e467aed8-ce6c-45d4-a327-2dd0fc7aef41",
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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
}
Reference in New Issue Copy Permalink