From b6a85cc82926f17deaf54ebd05f5ea20821c5c16 Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Mon, 23 May 2022 15:38:34 -0300 Subject: [PATCH] use cf_xarray --- ...4-QARTOD_ioos_qc_Water-Level-Example.ipynb | 279 +++++++----------- 1 file changed, 100 insertions(+), 179 deletions(-) diff --git a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2020-02-14-QARTOD_ioos_qc_Water-Level-Example.ipynb b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2020-02-14-QARTOD_ioos_qc_Water-Level-Example.ipynb index 99261261..6f5829fa 100644 --- a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2020-02-14-QARTOD_ioos_qc_Water-Level-Example.ipynb +++ b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2020-02-14-QARTOD_ioos_qc_Water-Level-Example.ipynb @@ -21,11 +21,10 @@ { "data": { "text/html": [ - "\n", - "
\n", + "
\n", " \n", " Loading BokehJS ...\n", - "
" + "
\n" ] }, "metadata": {}, @@ -34,29 +33,28 @@ { "data": { "application/javascript": [ - "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", - " var force = true;\n", + " const force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", - " var JS_MIME_TYPE = 'application/javascript';\n", - " var HTML_MIME_TYPE = 'text/html';\n", - " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", - " var CLASS_NAME = 'output_bokeh rendered_html';\n", + "const JS_MIME_TYPE = 'application/javascript';\n", + " const HTML_MIME_TYPE = 'text/html';\n", + " const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", + " const CLASS_NAME = 'output_bokeh rendered_html';\n", "\n", " /**\n", " * Render data to the DOM node\n", " */\n", " function render(props, node) {\n", - " var script = document.createElement(\"script\");\n", + " const script = document.createElement(\"script\");\n", " node.appendChild(script);\n", " }\n", "\n", @@ -64,10 +62,10 @@ " * Handle when an output is cleared or removed\n", " */\n", " function handleClearOutput(event, handle) {\n", - " var cell = handle.cell;\n", + " const cell = handle.cell;\n", "\n", - " var id = cell.output_area._bokeh_element_id;\n", - " var server_id = cell.output_area._bokeh_server_id;\n", + " const id = cell.output_area._bokeh_element_id;\n", + " const server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", @@ -76,11 +74,11 @@ "\n", " if (server_id !== undefined) {\n", " // Clean up Bokeh references\n", - " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", - " cell.notebook.kernel.execute(cmd, {\n", + " const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", + " cell.notebook.kernel.execute(cmd_clean, {\n", " iopub: {\n", " output: function(msg) {\n", - " var id = msg.content.text.trim();\n", + " const id = msg.content.text.trim();\n", " if (id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", @@ -89,8 +87,8 @@ " }\n", " });\n", " // Destroy server and session\n", - " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", - " cell.notebook.kernel.execute(cmd);\n", + " const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", + " cell.notebook.kernel.execute(cmd_destroy);\n", " }\n", " }\n", "\n", @@ -98,15 +96,15 @@ " * Handle when a new output is added\n", " */\n", " function handleAddOutput(event, handle) {\n", - " var output_area = handle.output_area;\n", - " var output = handle.output;\n", + " const output_area = handle.output_area;\n", + " const output = handle.output;\n", "\n", " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", " return\n", " }\n", "\n", - " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + " const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", @@ -114,10 +112,10 @@ " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", - " var bk_div = document.createElement(\"div\");\n", + " const 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", + " const script_attrs = bk_div.children[0].attributes;\n", + " for (let i = 0; i < script_attrs.length; i++) {\n", " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", " }\n", @@ -130,14 +128,14 @@ "\n", " function append_mime(data, metadata, element) {\n", " // create a DOM node to render to\n", - " var toinsert = this.create_output_subarea(\n", + " const 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", + " const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", @@ -163,21 +161,19 @@ "\n", " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", " if (root.Jupyter !== undefined) {\n", - " var events = require('base/js/events');\n", - " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", + " const events = require('base/js/events');\n", + " const OutputArea = require('notebook/js/outputarea').OutputArea;\n", "\n", " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", " register_renderer(events, OutputArea);\n", " }\n", " }\n", - "\n", - " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", - " var NB_LOAD_WARNING = {'data': {'text/html':\n", + " const NB_LOAD_WARNING = {'data': {'text/html':\n", " \"
\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", @@ -194,7 +190,7 @@ " \"

\"}};\n", "\n", " function display_loaded() {\n", - " var el = document.getElementById(\"1002\");\n", + " const el = document.getElementById(\"1002\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", @@ -207,7 +203,6 @@ " }\n", " }\n", "\n", - "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", @@ -260,8 +255,6 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\": \"dM3QQsP+wXdHg42wTqW85BjZQdLNNIXqlPw/BgKoExPmTG7ZLML4EGqLMfqHT6ON\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\": \"8x57I4YuIfu8XyZfFo0XVr2WAT8EK4rh/uDe3wF7YuW2FNUSNEpJbsPaB1nJ2fz2\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\": \"3QTqdz9LyAm2i0sG5XTePsHec3UHWwVsrOL68SYRoAXsafvfAyqtQ+h440+qIBhS\"};\n", - "\n", " for (let i = 0; i < js_urls.length; i++) {\n", " const url = js_urls[i];\n", " const element = document.createElement('script');\n", @@ -269,10 +262,6 @@ " element.onerror = on_error.bind(null, url);\n", " element.async = false;\n", " element.src = url;\n", - " if (url in hashes) {\n", - " element.crossOrigin = \"anonymous\";\n", - " element.integrity = \"sha384-\" + hashes[url];\n", - " }\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", @@ -284,29 +273,22 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " \n", - " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\"];\n", - " var css_urls = [];\n", - " \n", + " const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n", + " const css_urls = [];\n", "\n", - " var inline_js = [\n", - " function(Bokeh) {\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", - " function(Bokeh) {\n", - " \n", - " \n", + "function(Bokeh) {\n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", - " \n", " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (var i = 0; i < inline_js.length; i++) {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", - " if (force === true) {\n", + "if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", @@ -314,10 +296,9 @@ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " } else if (force !== true) {\n", - " var cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n", + " const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", - "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", @@ -331,7 +312,7 @@ " }\n", "}(window));" ], - "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1002\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\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, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\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 == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\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\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\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 }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\": \"dM3QQsP+wXdHg42wTqW85BjZQdLNNIXqlPw/BgKoExPmTG7ZLML4EGqLMfqHT6ON\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\": \"8x57I4YuIfu8XyZfFo0XVr2WAT8EK4rh/uDe3wF7YuW2FNUSNEpJbsPaB1nJ2fz2\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\": \"3QTqdz9LyAm2i0sG5XTePsHec3UHWwVsrOL68SYRoAXsafvfAyqtQ+h440+qIBhS\"};\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\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 \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.3.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\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 } else if (force !== true) {\n var cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/vnd.bokehjs_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"1002\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\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, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\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 == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\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\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\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 }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\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 };\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 const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\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 } else if (force !== true) {\n const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -360,9 +341,6 @@ "metadata": {}, "outputs": [], "source": [ - "variable_name = \"sea_surface_height_above_sea_level_geoid_mhhw\"\n", - "\n", - "\n", "qc_config = {\n", " \"qartod\": {\n", " \"gross_range_test\": {\n", @@ -388,7 +366,8 @@ "source": [ "Now we are ready to load the data, run tests and plot results!\n", "\n", - "We will get the data from the [AOOS ERDDAP server](http://erddap.aoos.org/erddap/). Note that the data may change in the future. For reproducibility's sake we will save the data downloaded into a CSV file." + "We will get the data from the [AOOS ERDDAP server](http://erddap.aoos.org/erddap/).\n", + "" ] }, { @@ -396,87 +375,45 @@ "execution_count": 3, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/filipe/miniforge3/envs/IOOS/lib/python3.10/site-packages/xarray/conventions.py:516: SerializationWarning: variable 'sea_surface_height_above_sea_level_geoid_mhhw_qc_agg' has multiple fill values {-127, 4294967169}, decoding all values to NaN.\n", + " new_vars[k] = decode_cf_variable(\n" + ] + }, { "data": { - "text/html": [ - "
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time (UTC)sea_surface_height_above_sea_level_geoid_mhhw (m)z (m)timestamp
02018-09-05 21:00:00+00:000.47850.01.536181e+09
12018-09-05 22:00:00+00:000.44200.01.536185e+09
22018-09-05 23:00:00+00:000.49680.01.536188e+09
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42018-09-06 02:00:00+00:000.57610.01.536199e+09
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" - ], - "text/plain": [ - " time (UTC) \\\n", - "0 2018-09-05 21:00:00+00:00 \n", - "1 2018-09-05 22:00:00+00:00 \n", - "2 2018-09-05 23:00:00+00:00 \n", - "3 2018-09-06 01:00:00+00:00 \n", - "4 2018-09-06 02:00:00+00:00 \n", - "\n", - " sea_surface_height_above_sea_level_geoid_mhhw (m) z (m) timestamp \n", - "0 0.4785 0.0 1.536181e+09 \n", - "1 0.4420 0.0 1.536185e+09 \n", - "2 0.4968 0.0 1.536188e+09 \n", - "3 0.5456 0.0 1.536196e+09 \n", - "4 0.5761 0.0 1.536199e+09 " + "- Cell Measures: area, volume: n/a\n", + "\n", + "- Standard Names: latitude: ['latitude']\n", + " longitude: ['longitude']\n", + " time: ['time']\n", + "\n", + "- Bounds: n/a\n", + "\n", + "Data Variables:\n", + "- Cell Measures: area, volume: n/a\n", + "\n", + "- Standard Names: aggregate_quality_flag: ['sea_surface_height_above_sea_level_geoid_mhhw_qc_agg']\n", + " altitude: ['z']\n", + " sea_surface_height_above_sea_level: ['sea_surface_height_above_sea_level_geoid_mhhw']\n", + " sea_surface_height_above_sea_level quality_flag: ['sea_surface_height_above_sea_level_geoid_mhhw_qc_tests']\n", + "\n", + "- Bounds: n/a" ] }, "execution_count": 3, @@ -485,39 +422,23 @@ } ], "source": [ - "from pathlib import Path\n", - "import pandas as pd\n", + "import cf_xarray\n", "from erddapy import ERDDAP\n", "\n", "\n", - "path = Path().absolute()\n", - "fname = path.joinpath(\"..\", \"data\", \"water_level_example.csv\")\n", + "e = ERDDAP(\n", + " server=\"http://erddap.aoos.org/erddap/\",\n", + " protocol=\"tabledap\"\n", + ")\n", + "e.dataset_id = \"kotzebue-alaska-water-level\"\n", + "e.constraints = {\n", + " \"time>=\": \"2018-09-05T21:00:00Z\",\n", + " \"time<=\": \"2019-07-10T19:00:00Z\",\n", + "}\n", "\n", - "if fname.is_file():\n", - " data = pd.read_csv(fname, parse_dates=[\"time (UTC)\"])\n", - "else:\n", - " e = ERDDAP(\n", - " server=\"http://erddap.aoos.org/erddap/\",\n", - " protocol=\"tabledap\"\n", - " )\n", - " e.dataset_id = \"kotzebue-alaska-water-level\"\n", - " e.constraints = {\n", - " \"time>=\": \"2018-09-05T21:00:00Z\",\n", - " \"time<=\": \"2019-07-10T19:00:00Z\",\n", - " }\n", - " e.variables = [\n", - " variable_name,\n", - " \"time\",\n", - " \"z\",\n", - " ]\n", - " data = e.to_pandas(\n", - " index_col=\"time (UTC)\",\n", - " parse_dates=True,\n", - " )\n", - " data[\"timestamp\"] = data.index.astype(\"int64\") // 1e9\n", - " data.to_csv(fname)\n", + "data = e.to_xarray()\n", "\n", - "data.head()" + "data.cf" ] }, { @@ -548,10 +469,12 @@ "\n", "qc = QcConfig(qc_config)\n", "\n", + "# The result is always a list but we only want the first, one and only in this case, variable.\n", + "variable_name = data.cf.standard_names[\"sea_surface_height_above_sea_level\"][0]\n", + "\n", "qc_results = qc.run(\n", - " inp=data[\"sea_surface_height_above_sea_level_geoid_mhhw (m)\"],\n", - " tinp=data[\"timestamp\"],\n", - " zinp=data[\"z (m)\"],\n", + " inp=data[variable_name],\n", + " tinp=data.cf[\"T\"],\n", ")\n", "\n", "qc_results" @@ -577,8 +500,6 @@ "metadata": {}, "outputs": [], "source": [ - "%matplotlib inline\n", - "\n", "from datetime import datetime\n", "\n", "import numpy as np\n", @@ -586,9 +507,9 @@ "\n", "\n", "\n", - "def plot_results(data, var_name, results, title, test_name):\n", - " time = data[\"time (UTC)\"]\n", - " obs = data[var_name]\n", + "def plot_results(data, variable_name, results, title, test_name):\n", + " time = data.cf[\"time\"]\n", + " obs = data[variable_name]\n", " qc_test = results[\"qartod\"][test_name]\n", "\n", " qc_pass = np.ma.masked_where(qc_test != 1, obs)\n", @@ -628,7 +549,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -642,7 +563,7 @@ "source": [ "plot_results(\n", " data,\n", - " \"sea_surface_height_above_sea_level_geoid_mhhw (m)\",\n", + " variable_name,\n", " qc_results,\n", " title,\n", " \"gross_range_test\"\n", @@ -665,7 +586,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -679,7 +600,7 @@ "source": [ "plot_results(\n", " data,\n", - " \"sea_surface_height_above_sea_level_geoid_mhhw (m)\",\n", + " variable_name,\n", " qc_results,\n", " title,\n", " \"spike_test\"\n", @@ -702,7 +623,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -716,7 +637,7 @@ "source": [ "plot_results(\n", " data,\n", - " \"sea_surface_height_above_sea_level_geoid_mhhw (m)\",\n", + " variable_name,\n", " qc_results,\n", " title,\n", " \"flat_line_test\"\n", @@ -747,7 +668,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.7" + "version": "3.10.4" } }, "nbformat": 4,