{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "5a38ed25", "metadata": { "ExecuteTime": { "end_time": "2023-04-09T17:12:51.060443Z", "start_time": "2023-04-09T17:12:47.288759Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "not found\n" ] } ], "source": [ "import numpy as np\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "from sklearn.neighbors import NearestNeighbors\n", "import joblib\n", "from glob import glob\n", "from tqdm import tqdm\n", "try:\n", " import csiborgtools\n", "except ModuleNotFoundError:\n", " print(\"not found\")\n", " import sys\n", " sys.path.append(\"../\")\n", " import csiborgtools\n", "import yaml\n", "\n", "\n", "%matplotlib notebook\n", "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "code", "execution_count": 44, "id": "3d39187a", "metadata": { "ExecuteTime": { "end_time": "2023-04-09T19:51:15.144264Z", "start_time": "2023-04-09T19:51:14.672337Z" } }, "outputs": [], "source": [ "with open('../scripts/knn_auto.yml', 'r') as file:\n", " config = yaml.safe_load(file)\n", "\n", "paths = csiborgtools.read.CSiBORGPaths()\n", "knnreader = csiborgtools.read.kNNCDFReader()\n", "\n", "auto_folder = \"/mnt/extraspace/rstiskalek/csiborg/knn/auto/\"\n", "cross_folder = \"/mnt/extraspace/rstiskalek/csiborg/knn/cross/\"\n" ] }, { "cell_type": "code", "execution_count": 52, "id": "202cb57b", "metadata": { "ExecuteTime": { "end_time": "2023-04-09T19:53:58.915750Z", "start_time": "2023-04-09T19:53:55.595006Z" } }, "outputs": [], "source": [ "rs, corr = knnreader.read(\"mass001\", cross_folder, rmin=1, rmax=50)\n", "rs, corr_rand = knnreader.read(\"mass001_random\", auto_folder, rmin=1, rmax=50)" ] }, { "cell_type": "code", "execution_count": 60, "id": "9b3adce7", "metadata": { "ExecuteTime": { "end_time": "2023-04-09T19:55:25.114871Z", "start_time": "2023-04-09T19:55:24.983841Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "/* global mpl */\n", "window.mpl = {};\n", "\n", "mpl.get_websocket_type = function () {\n", " if (typeof WebSocket !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof MozWebSocket !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert(\n", " 'Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.'\n", " );\n", " }\n", "};\n", "\n", "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = this.ws.binaryType !== undefined;\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById('mpl-warnings');\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent =\n", " 'This browser does not support binary websocket messages. ' +\n", " 'Performance may be slow.';\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = document.createElement('div');\n", " this.root.setAttribute('style', 'display: inline-block');\n", " this._root_extra_style(this.root);\n", "\n", " parent_element.appendChild(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message('supports_binary', { value: fig.supports_binary });\n", " fig.send_message('send_image_mode', {});\n", " if (fig.ratio !== 1) {\n", " fig.send_message('set_device_pixel_ratio', {\n", " device_pixel_ratio: fig.ratio,\n", " });\n", " }\n", " fig.send_message('refresh', {});\n", " };\n", "\n", " this.imageObj.onload = function () {\n", " if (fig.image_mode === 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function () {\n", " fig.ws.close();\n", " };\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "};\n", "\n", "mpl.figure.prototype._init_header = function () {\n", " var titlebar = document.createElement('div');\n", " titlebar.classList =\n", " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", " var titletext = document.createElement('div');\n", " titletext.classList = 'ui-dialog-title';\n", " titletext.setAttribute(\n", " 'style',\n", " 'width: 100%; text-align: center; padding: 3px;'\n", " );\n", " titlebar.appendChild(titletext);\n", " this.root.appendChild(titlebar);\n", " this.header = titletext;\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._init_canvas = function () {\n", " var fig = this;\n", "\n", " var canvas_div = (this.canvas_div = document.createElement('div'));\n", " canvas_div.setAttribute(\n", " 'style',\n", " 'border: 1px solid #ddd;' +\n", " 'box-sizing: content-box;' +\n", " 'clear: both;' +\n", " 'min-height: 1px;' +\n", " 'min-width: 1px;' +\n", " 'outline: 0;' +\n", " 'overflow: hidden;' +\n", " 'position: relative;' +\n", " 'resize: both;'\n", " );\n", "\n", " function on_keyboard_event_closure(name) {\n", " return function (event) {\n", " return fig.key_event(event, name);\n", " };\n", " }\n", "\n", " canvas_div.addEventListener(\n", " 'keydown',\n", " on_keyboard_event_closure('key_press')\n", " );\n", " canvas_div.addEventListener(\n", " 'keyup',\n", " on_keyboard_event_closure('key_release')\n", " );\n", "\n", " this._canvas_extra_style(canvas_div);\n", " this.root.appendChild(canvas_div);\n", "\n", " var canvas = (this.canvas = document.createElement('canvas'));\n", " canvas.classList.add('mpl-canvas');\n", " canvas.setAttribute('style', 'box-sizing: content-box;');\n", "\n", " this.context = canvas.getContext('2d');\n", "\n", " var backingStore =\n", " this.context.backingStorePixelRatio ||\n", " this.context.webkitBackingStorePixelRatio ||\n", " this.context.mozBackingStorePixelRatio ||\n", " this.context.msBackingStorePixelRatio ||\n", " this.context.oBackingStorePixelRatio ||\n", " this.context.backingStorePixelRatio ||\n", " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", " ));\n", " rubberband_canvas.setAttribute(\n", " 'style',\n", " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", " if (this.ResizeObserver === undefined) {\n", " if (window.ResizeObserver !== undefined) {\n", " this.ResizeObserver = window.ResizeObserver;\n", " } else {\n", " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", " this.ResizeObserver = obs.ResizeObserver;\n", " }\n", " }\n", "\n", " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", " var width, height;\n", " if (entry.contentBoxSize) {\n", " if (entry.contentBoxSize instanceof Array) {\n", " // Chrome 84 implements new version of spec.\n", " width = entry.contentBoxSize[0].inlineSize;\n", " height = entry.contentBoxSize[0].blockSize;\n", " } else {\n", " // Firefox implements old version of spec.\n", " width = entry.contentBoxSize.inlineSize;\n", " height = entry.contentBoxSize.blockSize;\n", " }\n", " } else {\n", " // Chrome <84 implements even older version of spec.\n", " width = entry.contentRect.width;\n", " height = entry.contentRect.height;\n", " }\n", "\n", " // Keep the size of the canvas and rubber band canvas in sync with\n", " // the canvas container.\n", " if (entry.devicePixelContentBoxSize) {\n", " // Chrome 84 implements new version of spec.\n", " canvas.setAttribute(\n", " 'width',\n", " entry.devicePixelContentBoxSize[0].inlineSize\n", " );\n", " canvas.setAttribute(\n", " 'height',\n", " entry.devicePixelContentBoxSize[0].blockSize\n", " );\n", " } else {\n", " canvas.setAttribute('width', width * fig.ratio);\n", " canvas.setAttribute('height', height * fig.ratio);\n", " }\n", " canvas.setAttribute(\n", " 'style',\n", " 'width: ' + width + 'px; height: ' + height + 'px;'\n", " );\n", "\n", " rubberband_canvas.setAttribute('width', width);\n", " rubberband_canvas.setAttribute('height', height);\n", "\n", " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", " return fig.mouse_event(event, name);\n", " };\n", " }\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mousedown',\n", " on_mouse_event_closure('button_press')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'dblclick',\n", " on_mouse_event_closure('dblclick')\n", " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", " on_mouse_event_closure('motion_notify')\n", " );\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mouseenter',\n", " on_mouse_event_closure('figure_enter')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseleave',\n", " on_mouse_event_closure('figure_leave')\n", " );\n", "\n", " canvas_div.addEventListener('wheel', function (event) {\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " on_mouse_event_closure('scroll')(event);\n", " });\n", "\n", " canvas_div.appendChild(canvas);\n", " canvas_div.appendChild(rubberband_canvas);\n", "\n", " this.rubberband_context = rubberband_canvas.getContext('2d');\n", " this.rubberband_context.strokeStyle = '#000000';\n", "\n", " this._resize_canvas = function (width, height, forward) {\n", " if (forward) {\n", " canvas_div.style.width = width + 'px';\n", " canvas_div.style.height = height + 'px';\n", " }\n", " };\n", "\n", " // Disable right mouse context menu.\n", " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", " event.preventDefault();\n", " return false;\n", " });\n", "\n", " function set_focus() {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'mpl-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " continue;\n", " }\n", "\n", " var button = (fig.buttons[name] = document.createElement('button'));\n", " button.classList = 'mpl-widget';\n", " button.setAttribute('role', 'button');\n", " button.setAttribute('aria-disabled', 'false');\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", "\n", " var icon_img = document.createElement('img');\n", " icon_img.src = '_images/' + image + '.png';\n", " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", " icon_img.alt = tooltip;\n", " button.appendChild(icon_img);\n", "\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " var fmt_picker = document.createElement('select');\n", " fmt_picker.classList = 'mpl-widget';\n", " toolbar.appendChild(fmt_picker);\n", " this.format_dropdown = fmt_picker;\n", "\n", " for (var ind in mpl.extensions) {\n", " var fmt = mpl.extensions[ind];\n", " var option = document.createElement('option');\n", " option.selected = fmt === mpl.default_extension;\n", " option.innerHTML = fmt;\n", " fmt_picker.appendChild(option);\n", " }\n", "\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "};\n", "\n", "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", " // which will in turn request a refresh of the image.\n", " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", "};\n", "\n", "mpl.figure.prototype.send_message = function (type, properties) {\n", " properties['type'] = type;\n", " properties['figure_id'] = this.id;\n", " this.ws.send(JSON.stringify(properties));\n", "};\n", "\n", "mpl.figure.prototype.send_draw_message = function () {\n", " if (!this.waiting) {\n", " this.waiting = true;\n", " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " var format_dropdown = fig.format_dropdown;\n", " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", " fig.ondownload(fig, format);\n", "};\n", "\n", "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", " var size = msg['size'];\n", " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", " fig._resize_canvas(size[0], size[1], msg['forward']);\n", " fig.send_message('refresh', {});\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", " var x0 = msg['x0'] / fig.ratio;\n", " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", " var x1 = msg['x1'] / fig.ratio;\n", " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", " x0 = Math.floor(x0) + 0.5;\n", " y0 = Math.floor(y0) + 0.5;\n", " x1 = Math.floor(x1) + 0.5;\n", " y1 = Math.floor(y1) + 0.5;\n", " var min_x = Math.min(x0, x1);\n", " var min_y = Math.min(y0, y1);\n", " var width = Math.abs(x1 - x0);\n", " var height = Math.abs(y1 - y0);\n", "\n", " fig.rubberband_context.clearRect(\n", " 0,\n", " 0,\n", " fig.canvas.width / fig.ratio,\n", " fig.canvas.height / fig.ratio\n", " );\n", "\n", " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", "};\n", "\n", "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", " // Updates the figure title.\n", " fig.header.textContent = msg['label'];\n", "};\n", "\n", "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", " fig.rubberband_canvas.style.cursor = msg['cursor'];\n", "};\n", "\n", "mpl.figure.prototype.handle_message = function (fig, msg) {\n", " fig.message.textContent = msg['message'];\n", "};\n", "\n", "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", " // Request the server to send over a new figure.\n", " fig.send_draw_message();\n", "};\n", "\n", "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", " fig.image_mode = msg['mode'];\n", "};\n", "\n", "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", " for (var key in msg) {\n", " if (!(key in fig.buttons)) {\n", " continue;\n", " }\n", " fig.buttons[key].disabled = !msg[key];\n", " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", " if (msg['mode'] === 'PAN') {\n", " fig.buttons['Pan'].classList.add('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " } else if (msg['mode'] === 'ZOOM') {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.add('active');\n", " } else {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " }\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Called whenever the canvas gets updated.\n", " this.send_message('ack', {});\n", "};\n", "\n", "// A function to construct a web socket function for onmessage handling.\n", "// Called in the figure constructor.\n", "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", " var img = evt.data;\n", " if (img.type !== 'image/png') {\n", " /* FIXME: We get \"Resource interpreted as Image but\n", " * transferred with MIME type text/plain:\" errors on\n", " * Chrome. But how to set the MIME type? It doesn't seem\n", " * to be part of the websocket stream */\n", " img.type = 'image/png';\n", " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", " (window.URL || window.webkitURL).revokeObjectURL(\n", " fig.imageObj.src\n", " );\n", " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " } else if (\n", " typeof evt.data === 'string' &&\n", " evt.data.slice(0, 21) === 'data:image/png;base64'\n", " ) {\n", " fig.imageObj.src = evt.data;\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " }\n", "\n", " var msg = JSON.parse(evt.data);\n", " var msg_type = msg['type'];\n", "\n", " // Call the \"handle_{type}\" callback, which takes\n", " // the figure and JSON message as its only arguments.\n", " try {\n", " var callback = fig['handle_' + msg_type];\n", " } catch (e) {\n", " console.log(\n", " \"No handler for the '\" + msg_type + \"' message type: \",\n", " msg\n", " );\n", " return;\n", " }\n", "\n", " if (callback) {\n", " try {\n", " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", " callback(fig, msg);\n", " } catch (e) {\n", " console.log(\n", " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", " e,\n", " e.stack,\n", " msg\n", " );\n", " }\n", " }\n", " };\n", "};\n", "\n", "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", "mpl.findpos = function (e) {\n", " //this section is from http://www.quirksmode.org/js/events_properties.html\n", " var targ;\n", " if (!e) {\n", " e = window.event;\n", " }\n", " if (e.target) {\n", " targ = e.target;\n", " } else if (e.srcElement) {\n", " targ = e.srcElement;\n", " }\n", " if (targ.nodeType === 3) {\n", " // defeat Safari bug\n", " targ = targ.parentNode;\n", " }\n", "\n", " // pageX,Y are the mouse positions relative to the document\n", " var boundingRect = targ.getBoundingClientRect();\n", " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", "\n", " return { x: x, y: y };\n", "};\n", "\n", "/*\n", " * return a copy of an object with only non-object keys\n", " * we need this to avoid circular references\n", " * https://stackoverflow.com/a/24161582/3208463\n", " */\n", "function simpleKeys(original) {\n", " return Object.keys(original).reduce(function (obj, key) {\n", " if (typeof original[key] !== 'object') {\n", " obj[key] = original[key];\n", " }\n", " return obj;\n", " }, {});\n", "}\n", "\n", "mpl.figure.prototype.mouse_event = function (event, name) {\n", " var canvas_pos = mpl.findpos(event);\n", "\n", " if (name === 'button_press') {\n", " this.canvas.focus();\n", " this.canvas_div.focus();\n", " }\n", "\n", " var x = canvas_pos.x * this.ratio;\n", " var y = canvas_pos.y * this.ratio;\n", "\n", " this.send_message(name, {\n", " x: x,\n", " y: y,\n", " button: event.button,\n", " step: event.step,\n", " guiEvent: simpleKeys(event),\n", " });\n", "\n", " /* This prevents the web browser from automatically changing to\n", " * the text insertion cursor when the button is pressed. We want\n", " * to control all of the cursor setting manually through the\n", " * 'cursor' event from matplotlib */\n", " event.preventDefault();\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", " // Handle any extra behaviour associated with a key event\n", "};\n", "\n", "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", " if (event.key === this._key) {\n", " return;\n", " } else {\n", " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", " this._key = null;\n", " }\n", "\n", " var value = '';\n", " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", " if (name === 'download') {\n", " this.handle_save(this, null);\n", " } else {\n", " this.send_message('toolbar_button', { name: name });\n", " }\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", "\n", "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", "// prettier-ignore\n", "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n", "\n", "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", "var comm_websocket_adapter = function (comm) {\n", " // Create a \"websocket\"-like object which calls the given IPython comm\n", " // object with the appropriate methods. Currently this is a non binary\n", " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", " ws.binaryType = comm.kernel.ws.binaryType;\n", " ws.readyState = comm.kernel.ws.readyState;\n", " function updateReadyState(_event) {\n", " if (comm.kernel.ws) {\n", " ws.readyState = comm.kernel.ws.readyState;\n", " } else {\n", " ws.readyState = 3; // Closed state.\n", " }\n", " }\n", " comm.kernel.ws.addEventListener('open', updateReadyState);\n", " comm.kernel.ws.addEventListener('close', updateReadyState);\n", " comm.kernel.ws.addEventListener('error', updateReadyState);\n", "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", " ws.send = function (m) {\n", " //console.log('sending', m);\n", " comm.send(m);\n", " };\n", " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", " var data = msg['content']['data'];\n", " if (data['blob'] !== undefined) {\n", " data = {\n", " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", " };\n", " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", "\n", "mpl.mpl_figure_comm = function (comm, msg) {\n", " // This is the function which gets called when the mpl process\n", " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", "\n", " var id = msg.content.data.id;\n", " // Get hold of the div created by the display call when the Comm\n", " // socket was opened in Python.\n", " var element = document.getElementById(id);\n", " var ws_proxy = comm_websocket_adapter(comm);\n", "\n", " function ondownload(figure, _format) {\n", " window.open(figure.canvas.toDataURL());\n", " }\n", "\n", " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", "\n", " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", " // web socket which is closed, not our websocket->open comm proxy.\n", " ws_proxy.onopen();\n", "\n", " fig.parent_element = element;\n", " fig.cell_info = mpl.find_output_cell(\"
\");\n", " if (!fig.cell_info) {\n", " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", " );\n", "};\n", "\n", "mpl.figure.prototype.handle_close = function (fig, msg) {\n", " var width = fig.canvas.width / fig.ratio;\n", " fig.cell_info[0].output_area.element.off(\n", " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", " var dataURL = fig.canvas.toDataURL();\n", " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", " // the notebook keyboard shortcuts fail.\n", " IPython.keyboard_manager.enable();\n", " fig.parent_element.innerHTML =\n", " '';\n", " fig.close_ws(fig, msg);\n", "};\n", "\n", "mpl.figure.prototype.close_ws = function (fig, msg) {\n", " fig.send_message('closing', msg);\n", " // fig.ws.close()\n", "};\n", "\n", "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", " // Turn the data on the canvas into data in the output cell.\n", " var width = this.canvas.width / this.ratio;\n", " var dataURL = this.canvas.toDataURL();\n", " this.cell_info[1]['text/html'] =\n", " '';\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Tell IPython that the notebook contents must change.\n", " IPython.notebook.set_dirty(true);\n", " this.send_message('ack', {});\n", " var fig = this;\n", " // Wait a second, then push the new image to the DOM so\n", " // that it is saved nicely (might be nice to debounce this).\n", " setTimeout(function () {\n", " fig.push_to_output();\n", " }, 1000);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'btn-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " var button;\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " continue;\n", " }\n", "\n", " button = fig.buttons[name] = document.createElement('button');\n", " button.classList = 'btn btn-default';\n", " button.href = '#';\n", " button.title = name;\n", " button.innerHTML = '';\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message pull-right';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "\n", " // Add the close button to the window.\n", " var buttongrp = document.createElement('div');\n", " buttongrp.classList = 'btn-group inline pull-right';\n", " button = document.createElement('button');\n", " button.classList = 'btn btn-mini btn-primary';\n", " button.href = '#';\n", " button.title = 'Stop Interaction';\n", " button.innerHTML = '';\n", " button.addEventListener('click', function (_evt) {\n", " fig.handle_close(fig, {});\n", " });\n", " button.addEventListener(\n", " 'mouseover',\n", " on_mouseover_closure('Stop Interaction')\n", " );\n", " buttongrp.appendChild(button);\n", " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", "};\n", "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", " if (event.target !== this) {\n", " // Ignore bubbled events from children.\n", " return;\n", " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", "mpl.figure.prototype._root_extra_style = function (el) {\n", " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (el) {\n", " // this is important to make the div 'focusable\n", " el.setAttribute('tabindex', 0);\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " } else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which === 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " fig.ondownload(fig, null);\n", "};\n", "\n", "mpl.find_output_cell = function (html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i = 0; i < ncells; i++) {\n", " var cell = cells[i];\n", " if (cell.cell_type === 'code') {\n", " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", " var data = cell.output_area.outputs[j];\n", " if (data.data) {\n", " // IPython >= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] === html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "};\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel !== null) {\n", " IPython.notebook.kernel.comm_manager.register_target(\n", " 'matplotlib',\n", " mpl.mpl_figure_comm\n", " );\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cols = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", "plt.figure()\n", "for k in range(64):\n", " plt.plot(rs, corr[0, k, :], c=cols[0], lw=0.5)\n", "# plt.plot(rs, np.abs(corr_rand[0, k, :]), c=cols[1], lw=0.5)\n", "\n", "plt.xscale(\"log\")\n", "plt.axvline(2.65 / 0.705, c=\"red\", ls=\"--\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "0ec93a98", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "952cc374", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "e38b7cf9", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 57, "id": "d46e176f", "metadata": { "ExecuteTime": { "end_time": "2023-04-09T16:12:21.080837Z", "start_time": "2023-04-09T16:12:19.137559Z" } }, "outputs": [ { "ename": "RuntimeError", "evalue": "No files found for run `mass001_spinloww`.", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn [57], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m rs, cdf \u001b[38;5;241m=\u001b[39m knnreader\u001b[38;5;241m.\u001b[39mread_auto(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmass001_spinloww\u001b[39m\u001b[38;5;124m\"\u001b[39m, folder, rmin\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, rmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m50\u001b[39m)\n\u001b[1;32m 2\u001b[0m pk \u001b[38;5;241m=\u001b[39m knnreader\u001b[38;5;241m.\u001b[39mmean_prob_k(cdf)\n", "File \u001b[0;32m~/csiborgtools/csiborgtools/read/summaries.py:215\u001b[0m, in \u001b[0;36mkNNCDFReader.read_auto\u001b[0;34m(self, run, folder, rmin, rmax, to_clip)\u001b[0m\n\u001b[1;32m 213\u001b[0m files \u001b[38;5;241m=\u001b[39m [f \u001b[38;5;28;01mfor\u001b[39;00m f \u001b[38;5;129;01min\u001b[39;00m glob(join(folder, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m*\u001b[39m\u001b[38;5;124m\"\u001b[39m)) \u001b[38;5;28;01mif\u001b[39;00m run \u001b[38;5;129;01min\u001b[39;00m f]\n\u001b[1;32m 214\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(files) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 215\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found for run `\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m`.\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(run[:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m2\u001b[39m]))\n\u001b[1;32m 216\u001b[0m kind \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcorr\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcross\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m run \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcdf\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, file \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(files):\n", "\u001b[0;31mRuntimeError\u001b[0m: No files found for run `mass001_spinloww`." ] } ], "source": [ "rs, cdf = knnreader.read_auto(\"mass001_spinloww\", folder, rmin=1, rmax=50)\n", "pk = knnreader.mean_prob_k(cdf)\n", "\n", "\n", "# rs, cdf = knnreader.read_auto(\"mass001_spinhigh\", folder, rmin=1, rmax=50)\n", "# pk_perm = knnreader.mean_prob_k(cdf)" ] }, { "cell_type": "code", "execution_count": 48, "id": "ad36cab2", "metadata": { "ExecuteTime": { "end_time": "2023-04-09T16:09:55.420866Z", "start_time": "2023-04-09T16:09:55.391296Z" } }, "outputs": [ { "data": { "text/plain": [ "(63, 5663, 2)" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pk.shape" ] }, { "cell_type": "code", "execution_count": 58, "id": "09015847", "metadata": { "ExecuteTime": { "end_time": "2023-04-09T16:13:34.120967Z", "start_time": "2023-04-09T16:13:31.837869Z" } }, "outputs": [ { "data": { "application/javascript": [ "/* Put everything inside the global mpl namespace */\n", "/* global mpl */\n", "window.mpl = {};\n", "\n", "mpl.get_websocket_type = function () {\n", " if (typeof WebSocket !== 'undefined') {\n", " return WebSocket;\n", " } else if (typeof MozWebSocket !== 'undefined') {\n", " return MozWebSocket;\n", " } else {\n", " alert(\n", " 'Your browser does not have WebSocket support. ' +\n", " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", " 'Firefox 4 and 5 are also supported but you ' +\n", " 'have to enable WebSockets in about:config.'\n", " );\n", " }\n", "};\n", "\n", "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", " this.id = figure_id;\n", "\n", " this.ws = websocket;\n", "\n", " this.supports_binary = this.ws.binaryType !== undefined;\n", "\n", " if (!this.supports_binary) {\n", " var warnings = document.getElementById('mpl-warnings');\n", " if (warnings) {\n", " warnings.style.display = 'block';\n", " warnings.textContent =\n", " 'This browser does not support binary websocket messages. ' +\n", " 'Performance may be slow.';\n", " }\n", " }\n", "\n", " this.imageObj = new Image();\n", "\n", " this.context = undefined;\n", " this.message = undefined;\n", " this.canvas = undefined;\n", " this.rubberband_canvas = undefined;\n", " this.rubberband_context = undefined;\n", " this.format_dropdown = undefined;\n", "\n", " this.image_mode = 'full';\n", "\n", " this.root = document.createElement('div');\n", " this.root.setAttribute('style', 'display: inline-block');\n", " this._root_extra_style(this.root);\n", "\n", " parent_element.appendChild(this.root);\n", "\n", " this._init_header(this);\n", " this._init_canvas(this);\n", " this._init_toolbar(this);\n", "\n", " var fig = this;\n", "\n", " this.waiting = false;\n", "\n", " this.ws.onopen = function () {\n", " fig.send_message('supports_binary', { value: fig.supports_binary });\n", " fig.send_message('send_image_mode', {});\n", " if (fig.ratio !== 1) {\n", " fig.send_message('set_device_pixel_ratio', {\n", " device_pixel_ratio: fig.ratio,\n", " });\n", " }\n", " fig.send_message('refresh', {});\n", " };\n", "\n", " this.imageObj.onload = function () {\n", " if (fig.image_mode === 'full') {\n", " // Full images could contain transparency (where diff images\n", " // almost always do), so we need to clear the canvas so that\n", " // there is no ghosting.\n", " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", " }\n", " fig.context.drawImage(fig.imageObj, 0, 0);\n", " };\n", "\n", " this.imageObj.onunload = function () {\n", " fig.ws.close();\n", " };\n", "\n", " this.ws.onmessage = this._make_on_message_function(this);\n", "\n", " this.ondownload = ondownload;\n", "};\n", "\n", "mpl.figure.prototype._init_header = function () {\n", " var titlebar = document.createElement('div');\n", " titlebar.classList =\n", " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", " var titletext = document.createElement('div');\n", " titletext.classList = 'ui-dialog-title';\n", " titletext.setAttribute(\n", " 'style',\n", " 'width: 100%; text-align: center; padding: 3px;'\n", " );\n", " titlebar.appendChild(titletext);\n", " this.root.appendChild(titlebar);\n", " this.header = titletext;\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", "\n", "mpl.figure.prototype._init_canvas = function () {\n", " var fig = this;\n", "\n", " var canvas_div = (this.canvas_div = document.createElement('div'));\n", " canvas_div.setAttribute(\n", " 'style',\n", " 'border: 1px solid #ddd;' +\n", " 'box-sizing: content-box;' +\n", " 'clear: both;' +\n", " 'min-height: 1px;' +\n", " 'min-width: 1px;' +\n", " 'outline: 0;' +\n", " 'overflow: hidden;' +\n", " 'position: relative;' +\n", " 'resize: both;'\n", " );\n", "\n", " function on_keyboard_event_closure(name) {\n", " return function (event) {\n", " return fig.key_event(event, name);\n", " };\n", " }\n", "\n", " canvas_div.addEventListener(\n", " 'keydown',\n", " on_keyboard_event_closure('key_press')\n", " );\n", " canvas_div.addEventListener(\n", " 'keyup',\n", " on_keyboard_event_closure('key_release')\n", " );\n", "\n", " this._canvas_extra_style(canvas_div);\n", " this.root.appendChild(canvas_div);\n", "\n", " var canvas = (this.canvas = document.createElement('canvas'));\n", " canvas.classList.add('mpl-canvas');\n", " canvas.setAttribute('style', 'box-sizing: content-box;');\n", "\n", " this.context = canvas.getContext('2d');\n", "\n", " var backingStore =\n", " this.context.backingStorePixelRatio ||\n", " this.context.webkitBackingStorePixelRatio ||\n", " this.context.mozBackingStorePixelRatio ||\n", " this.context.msBackingStorePixelRatio ||\n", " this.context.oBackingStorePixelRatio ||\n", " this.context.backingStorePixelRatio ||\n", " 1;\n", "\n", " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", "\n", " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", " 'canvas'\n", " ));\n", " rubberband_canvas.setAttribute(\n", " 'style',\n", " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", " );\n", "\n", " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", " if (this.ResizeObserver === undefined) {\n", " if (window.ResizeObserver !== undefined) {\n", " this.ResizeObserver = window.ResizeObserver;\n", " } else {\n", " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", " this.ResizeObserver = obs.ResizeObserver;\n", " }\n", " }\n", "\n", " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", " var nentries = entries.length;\n", " for (var i = 0; i < nentries; i++) {\n", " var entry = entries[i];\n", " var width, height;\n", " if (entry.contentBoxSize) {\n", " if (entry.contentBoxSize instanceof Array) {\n", " // Chrome 84 implements new version of spec.\n", " width = entry.contentBoxSize[0].inlineSize;\n", " height = entry.contentBoxSize[0].blockSize;\n", " } else {\n", " // Firefox implements old version of spec.\n", " width = entry.contentBoxSize.inlineSize;\n", " height = entry.contentBoxSize.blockSize;\n", " }\n", " } else {\n", " // Chrome <84 implements even older version of spec.\n", " width = entry.contentRect.width;\n", " height = entry.contentRect.height;\n", " }\n", "\n", " // Keep the size of the canvas and rubber band canvas in sync with\n", " // the canvas container.\n", " if (entry.devicePixelContentBoxSize) {\n", " // Chrome 84 implements new version of spec.\n", " canvas.setAttribute(\n", " 'width',\n", " entry.devicePixelContentBoxSize[0].inlineSize\n", " );\n", " canvas.setAttribute(\n", " 'height',\n", " entry.devicePixelContentBoxSize[0].blockSize\n", " );\n", " } else {\n", " canvas.setAttribute('width', width * fig.ratio);\n", " canvas.setAttribute('height', height * fig.ratio);\n", " }\n", " canvas.setAttribute(\n", " 'style',\n", " 'width: ' + width + 'px; height: ' + height + 'px;'\n", " );\n", "\n", " rubberband_canvas.setAttribute('width', width);\n", " rubberband_canvas.setAttribute('height', height);\n", "\n", " // And update the size in Python. We ignore the initial 0/0 size\n", " // that occurs as the element is placed into the DOM, which should\n", " // otherwise not happen due to the minimum size styling.\n", " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", " fig.request_resize(width, height);\n", " }\n", " }\n", " });\n", " this.resizeObserverInstance.observe(canvas_div);\n", "\n", " function on_mouse_event_closure(name) {\n", " return function (event) {\n", " return fig.mouse_event(event, name);\n", " };\n", " }\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mousedown',\n", " on_mouse_event_closure('button_press')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseup',\n", " on_mouse_event_closure('button_release')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'dblclick',\n", " on_mouse_event_closure('dblclick')\n", " );\n", " // Throttle sequential mouse events to 1 every 20ms.\n", " rubberband_canvas.addEventListener(\n", " 'mousemove',\n", " on_mouse_event_closure('motion_notify')\n", " );\n", "\n", " rubberband_canvas.addEventListener(\n", " 'mouseenter',\n", " on_mouse_event_closure('figure_enter')\n", " );\n", " rubberband_canvas.addEventListener(\n", " 'mouseleave',\n", " on_mouse_event_closure('figure_leave')\n", " );\n", "\n", " canvas_div.addEventListener('wheel', function (event) {\n", " if (event.deltaY < 0) {\n", " event.step = 1;\n", " } else {\n", " event.step = -1;\n", " }\n", " on_mouse_event_closure('scroll')(event);\n", " });\n", "\n", " canvas_div.appendChild(canvas);\n", " canvas_div.appendChild(rubberband_canvas);\n", "\n", " this.rubberband_context = rubberband_canvas.getContext('2d');\n", " this.rubberband_context.strokeStyle = '#000000';\n", "\n", " this._resize_canvas = function (width, height, forward) {\n", " if (forward) {\n", " canvas_div.style.width = width + 'px';\n", " canvas_div.style.height = height + 'px';\n", " }\n", " };\n", "\n", " // Disable right mouse context menu.\n", " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", " event.preventDefault();\n", " return false;\n", " });\n", "\n", " function set_focus() {\n", " canvas.focus();\n", " canvas_div.focus();\n", " }\n", "\n", " window.setTimeout(set_focus, 100);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'mpl-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'mpl-button-group';\n", " continue;\n", " }\n", "\n", " var button = (fig.buttons[name] = document.createElement('button'));\n", " button.classList = 'mpl-widget';\n", " button.setAttribute('role', 'button');\n", " button.setAttribute('aria-disabled', 'false');\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", "\n", " var icon_img = document.createElement('img');\n", " icon_img.src = '_images/' + image + '.png';\n", " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", " icon_img.alt = tooltip;\n", " button.appendChild(icon_img);\n", "\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " var fmt_picker = document.createElement('select');\n", " fmt_picker.classList = 'mpl-widget';\n", " toolbar.appendChild(fmt_picker);\n", " this.format_dropdown = fmt_picker;\n", "\n", " for (var ind in mpl.extensions) {\n", " var fmt = mpl.extensions[ind];\n", " var option = document.createElement('option');\n", " option.selected = fmt === mpl.default_extension;\n", " option.innerHTML = fmt;\n", " fmt_picker.appendChild(option);\n", " }\n", "\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "};\n", "\n", "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", " // which will in turn request a refresh of the image.\n", " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", "};\n", "\n", "mpl.figure.prototype.send_message = function (type, properties) {\n", " properties['type'] = type;\n", " properties['figure_id'] = this.id;\n", " this.ws.send(JSON.stringify(properties));\n", "};\n", "\n", "mpl.figure.prototype.send_draw_message = function () {\n", " if (!this.waiting) {\n", " this.waiting = true;\n", " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " var format_dropdown = fig.format_dropdown;\n", " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", " fig.ondownload(fig, format);\n", "};\n", "\n", "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", " var size = msg['size'];\n", " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", " fig._resize_canvas(size[0], size[1], msg['forward']);\n", " fig.send_message('refresh', {});\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", " var x0 = msg['x0'] / fig.ratio;\n", " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", " var x1 = msg['x1'] / fig.ratio;\n", " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", " x0 = Math.floor(x0) + 0.5;\n", " y0 = Math.floor(y0) + 0.5;\n", " x1 = Math.floor(x1) + 0.5;\n", " y1 = Math.floor(y1) + 0.5;\n", " var min_x = Math.min(x0, x1);\n", " var min_y = Math.min(y0, y1);\n", " var width = Math.abs(x1 - x0);\n", " var height = Math.abs(y1 - y0);\n", "\n", " fig.rubberband_context.clearRect(\n", " 0,\n", " 0,\n", " fig.canvas.width / fig.ratio,\n", " fig.canvas.height / fig.ratio\n", " );\n", "\n", " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", "};\n", "\n", "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", " // Updates the figure title.\n", " fig.header.textContent = msg['label'];\n", "};\n", "\n", "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", " fig.rubberband_canvas.style.cursor = msg['cursor'];\n", "};\n", "\n", "mpl.figure.prototype.handle_message = function (fig, msg) {\n", " fig.message.textContent = msg['message'];\n", "};\n", "\n", "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", " // Request the server to send over a new figure.\n", " fig.send_draw_message();\n", "};\n", "\n", "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", " fig.image_mode = msg['mode'];\n", "};\n", "\n", "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", " for (var key in msg) {\n", " if (!(key in fig.buttons)) {\n", " continue;\n", " }\n", " fig.buttons[key].disabled = !msg[key];\n", " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", " if (msg['mode'] === 'PAN') {\n", " fig.buttons['Pan'].classList.add('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " } else if (msg['mode'] === 'ZOOM') {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.add('active');\n", " } else {\n", " fig.buttons['Pan'].classList.remove('active');\n", " fig.buttons['Zoom'].classList.remove('active');\n", " }\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Called whenever the canvas gets updated.\n", " this.send_message('ack', {});\n", "};\n", "\n", "// A function to construct a web socket function for onmessage handling.\n", "// Called in the figure constructor.\n", "mpl.figure.prototype._make_on_message_function = function (fig) {\n", " return function socket_on_message(evt) {\n", " if (evt.data instanceof Blob) {\n", " var img = evt.data;\n", " if (img.type !== 'image/png') {\n", " /* FIXME: We get \"Resource interpreted as Image but\n", " * transferred with MIME type text/plain:\" errors on\n", " * Chrome. But how to set the MIME type? It doesn't seem\n", " * to be part of the websocket stream */\n", " img.type = 'image/png';\n", " }\n", "\n", " /* Free the memory for the previous frames */\n", " if (fig.imageObj.src) {\n", " (window.URL || window.webkitURL).revokeObjectURL(\n", " fig.imageObj.src\n", " );\n", " }\n", "\n", " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", " img\n", " );\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " } else if (\n", " typeof evt.data === 'string' &&\n", " evt.data.slice(0, 21) === 'data:image/png;base64'\n", " ) {\n", " fig.imageObj.src = evt.data;\n", " fig.updated_canvas_event();\n", " fig.waiting = false;\n", " return;\n", " }\n", "\n", " var msg = JSON.parse(evt.data);\n", " var msg_type = msg['type'];\n", "\n", " // Call the \"handle_{type}\" callback, which takes\n", " // the figure and JSON message as its only arguments.\n", " try {\n", " var callback = fig['handle_' + msg_type];\n", " } catch (e) {\n", " console.log(\n", " \"No handler for the '\" + msg_type + \"' message type: \",\n", " msg\n", " );\n", " return;\n", " }\n", "\n", " if (callback) {\n", " try {\n", " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", " callback(fig, msg);\n", " } catch (e) {\n", " console.log(\n", " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", " e,\n", " e.stack,\n", " msg\n", " );\n", " }\n", " }\n", " };\n", "};\n", "\n", "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", "mpl.findpos = function (e) {\n", " //this section is from http://www.quirksmode.org/js/events_properties.html\n", " var targ;\n", " if (!e) {\n", " e = window.event;\n", " }\n", " if (e.target) {\n", " targ = e.target;\n", " } else if (e.srcElement) {\n", " targ = e.srcElement;\n", " }\n", " if (targ.nodeType === 3) {\n", " // defeat Safari bug\n", " targ = targ.parentNode;\n", " }\n", "\n", " // pageX,Y are the mouse positions relative to the document\n", " var boundingRect = targ.getBoundingClientRect();\n", " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", "\n", " return { x: x, y: y };\n", "};\n", "\n", "/*\n", " * return a copy of an object with only non-object keys\n", " * we need this to avoid circular references\n", " * https://stackoverflow.com/a/24161582/3208463\n", " */\n", "function simpleKeys(original) {\n", " return Object.keys(original).reduce(function (obj, key) {\n", " if (typeof original[key] !== 'object') {\n", " obj[key] = original[key];\n", " }\n", " return obj;\n", " }, {});\n", "}\n", "\n", "mpl.figure.prototype.mouse_event = function (event, name) {\n", " var canvas_pos = mpl.findpos(event);\n", "\n", " if (name === 'button_press') {\n", " this.canvas.focus();\n", " this.canvas_div.focus();\n", " }\n", "\n", " var x = canvas_pos.x * this.ratio;\n", " var y = canvas_pos.y * this.ratio;\n", "\n", " this.send_message(name, {\n", " x: x,\n", " y: y,\n", " button: event.button,\n", " step: event.step,\n", " guiEvent: simpleKeys(event),\n", " });\n", "\n", " /* This prevents the web browser from automatically changing to\n", " * the text insertion cursor when the button is pressed. We want\n", " * to control all of the cursor setting manually through the\n", " * 'cursor' event from matplotlib */\n", " event.preventDefault();\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", " // Handle any extra behaviour associated with a key event\n", "};\n", "\n", "mpl.figure.prototype.key_event = function (event, name) {\n", " // Prevent repeat events\n", " if (name === 'key_press') {\n", " if (event.key === this._key) {\n", " return;\n", " } else {\n", " this._key = event.key;\n", " }\n", " }\n", " if (name === 'key_release') {\n", " this._key = null;\n", " }\n", "\n", " var value = '';\n", " if (event.ctrlKey && event.key !== 'Control') {\n", " value += 'ctrl+';\n", " }\n", " else if (event.altKey && event.key !== 'Alt') {\n", " value += 'alt+';\n", " }\n", " else if (event.shiftKey && event.key !== 'Shift') {\n", " value += 'shift+';\n", " }\n", "\n", " value += 'k' + event.key;\n", "\n", " this._key_event_extra(event, name);\n", "\n", " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", " return false;\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", " if (name === 'download') {\n", " this.handle_save(this, null);\n", " } else {\n", " this.send_message('toolbar_button', { name: name });\n", " }\n", "};\n", "\n", "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", " this.message.textContent = tooltip;\n", "};\n", "\n", "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", "// prettier-ignore\n", "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n", "\n", "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n", "\n", "mpl.default_extension = \"png\";/* global mpl */\n", "\n", "var comm_websocket_adapter = function (comm) {\n", " // Create a \"websocket\"-like object which calls the given IPython comm\n", " // object with the appropriate methods. Currently this is a non binary\n", " // socket, so there is still some room for performance tuning.\n", " var ws = {};\n", "\n", " ws.binaryType = comm.kernel.ws.binaryType;\n", " ws.readyState = comm.kernel.ws.readyState;\n", " function updateReadyState(_event) {\n", " if (comm.kernel.ws) {\n", " ws.readyState = comm.kernel.ws.readyState;\n", " } else {\n", " ws.readyState = 3; // Closed state.\n", " }\n", " }\n", " comm.kernel.ws.addEventListener('open', updateReadyState);\n", " comm.kernel.ws.addEventListener('close', updateReadyState);\n", " comm.kernel.ws.addEventListener('error', updateReadyState);\n", "\n", " ws.close = function () {\n", " comm.close();\n", " };\n", " ws.send = function (m) {\n", " //console.log('sending', m);\n", " comm.send(m);\n", " };\n", " // Register the callback with on_msg.\n", " comm.on_msg(function (msg) {\n", " //console.log('receiving', msg['content']['data'], msg);\n", " var data = msg['content']['data'];\n", " if (data['blob'] !== undefined) {\n", " data = {\n", " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", " };\n", " }\n", " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", " ws.onmessage(data);\n", " });\n", " return ws;\n", "};\n", "\n", "mpl.mpl_figure_comm = function (comm, msg) {\n", " // This is the function which gets called when the mpl process\n", " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", "\n", " var id = msg.content.data.id;\n", " // Get hold of the div created by the display call when the Comm\n", " // socket was opened in Python.\n", " var element = document.getElementById(id);\n", " var ws_proxy = comm_websocket_adapter(comm);\n", "\n", " function ondownload(figure, _format) {\n", " window.open(figure.canvas.toDataURL());\n", " }\n", "\n", " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", "\n", " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", " // web socket which is closed, not our websocket->open comm proxy.\n", " ws_proxy.onopen();\n", "\n", " fig.parent_element = element;\n", " fig.cell_info = mpl.find_output_cell(\"
\");\n", " if (!fig.cell_info) {\n", " console.error('Failed to find cell for figure', id, fig);\n", " return;\n", " }\n", " fig.cell_info[0].output_area.element.on(\n", " 'cleared',\n", " { fig: fig },\n", " fig._remove_fig_handler\n", " );\n", "};\n", "\n", "mpl.figure.prototype.handle_close = function (fig, msg) {\n", " var width = fig.canvas.width / fig.ratio;\n", " fig.cell_info[0].output_area.element.off(\n", " 'cleared',\n", " fig._remove_fig_handler\n", " );\n", " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", "\n", " // Update the output cell to use the data from the current canvas.\n", " fig.push_to_output();\n", " var dataURL = fig.canvas.toDataURL();\n", " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", " // the notebook keyboard shortcuts fail.\n", " IPython.keyboard_manager.enable();\n", " fig.parent_element.innerHTML =\n", " '';\n", " fig.close_ws(fig, msg);\n", "};\n", "\n", "mpl.figure.prototype.close_ws = function (fig, msg) {\n", " fig.send_message('closing', msg);\n", " // fig.ws.close()\n", "};\n", "\n", "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", " // Turn the data on the canvas into data in the output cell.\n", " var width = this.canvas.width / this.ratio;\n", " var dataURL = this.canvas.toDataURL();\n", " this.cell_info[1]['text/html'] =\n", " '';\n", "};\n", "\n", "mpl.figure.prototype.updated_canvas_event = function () {\n", " // Tell IPython that the notebook contents must change.\n", " IPython.notebook.set_dirty(true);\n", " this.send_message('ack', {});\n", " var fig = this;\n", " // Wait a second, then push the new image to the DOM so\n", " // that it is saved nicely (might be nice to debounce this).\n", " setTimeout(function () {\n", " fig.push_to_output();\n", " }, 1000);\n", "};\n", "\n", "mpl.figure.prototype._init_toolbar = function () {\n", " var fig = this;\n", "\n", " var toolbar = document.createElement('div');\n", " toolbar.classList = 'btn-toolbar';\n", " this.root.appendChild(toolbar);\n", "\n", " function on_click_closure(name) {\n", " return function (_event) {\n", " return fig.toolbar_button_onclick(name);\n", " };\n", " }\n", "\n", " function on_mouseover_closure(tooltip) {\n", " return function (event) {\n", " if (!event.currentTarget.disabled) {\n", " return fig.toolbar_button_onmouseover(tooltip);\n", " }\n", " };\n", " }\n", "\n", " fig.buttons = {};\n", " var buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " var button;\n", " for (var toolbar_ind in mpl.toolbar_items) {\n", " var name = mpl.toolbar_items[toolbar_ind][0];\n", " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", " var image = mpl.toolbar_items[toolbar_ind][2];\n", " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", "\n", " if (!name) {\n", " /* Instead of a spacer, we start a new button group. */\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", " buttonGroup = document.createElement('div');\n", " buttonGroup.classList = 'btn-group';\n", " continue;\n", " }\n", "\n", " button = fig.buttons[name] = document.createElement('button');\n", " button.classList = 'btn btn-default';\n", " button.href = '#';\n", " button.title = name;\n", " button.innerHTML = '';\n", " button.addEventListener('click', on_click_closure(method_name));\n", " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", " buttonGroup.appendChild(button);\n", " }\n", "\n", " if (buttonGroup.hasChildNodes()) {\n", " toolbar.appendChild(buttonGroup);\n", " }\n", "\n", " // Add the status bar.\n", " var status_bar = document.createElement('span');\n", " status_bar.classList = 'mpl-message pull-right';\n", " toolbar.appendChild(status_bar);\n", " this.message = status_bar;\n", "\n", " // Add the close button to the window.\n", " var buttongrp = document.createElement('div');\n", " buttongrp.classList = 'btn-group inline pull-right';\n", " button = document.createElement('button');\n", " button.classList = 'btn btn-mini btn-primary';\n", " button.href = '#';\n", " button.title = 'Stop Interaction';\n", " button.innerHTML = '';\n", " button.addEventListener('click', function (_evt) {\n", " fig.handle_close(fig, {});\n", " });\n", " button.addEventListener(\n", " 'mouseover',\n", " on_mouseover_closure('Stop Interaction')\n", " );\n", " buttongrp.appendChild(button);\n", " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", "};\n", "\n", "mpl.figure.prototype._remove_fig_handler = function (event) {\n", " var fig = event.data.fig;\n", " if (event.target !== this) {\n", " // Ignore bubbled events from children.\n", " return;\n", " }\n", " fig.close_ws(fig, {});\n", "};\n", "\n", "mpl.figure.prototype._root_extra_style = function (el) {\n", " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", "};\n", "\n", "mpl.figure.prototype._canvas_extra_style = function (el) {\n", " // this is important to make the div 'focusable\n", " el.setAttribute('tabindex', 0);\n", " // reach out to IPython and tell the keyboard manager to turn it's self\n", " // off when our div gets focus\n", "\n", " // location in version 3\n", " if (IPython.notebook.keyboard_manager) {\n", " IPython.notebook.keyboard_manager.register_events(el);\n", " } else {\n", " // location in version 2\n", " IPython.keyboard_manager.register_events(el);\n", " }\n", "};\n", "\n", "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", " // Check for shift+enter\n", " if (event.shiftKey && event.which === 13) {\n", " this.canvas_div.blur();\n", " // select the cell after this one\n", " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", " IPython.notebook.select(index + 1);\n", " }\n", "};\n", "\n", "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", " fig.ondownload(fig, null);\n", "};\n", "\n", "mpl.find_output_cell = function (html_output) {\n", " // Return the cell and output element which can be found *uniquely* in the notebook.\n", " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", " // IPython event is triggered only after the cells have been serialised, which for\n", " // our purposes (turning an active figure into a static one), is too late.\n", " var cells = IPython.notebook.get_cells();\n", " var ncells = cells.length;\n", " for (var i = 0; i < ncells; i++) {\n", " var cell = cells[i];\n", " if (cell.cell_type === 'code') {\n", " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", " var data = cell.output_area.outputs[j];\n", " if (data.data) {\n", " // IPython >= 3 moved mimebundle to data attribute of output\n", " data = data.data;\n", " }\n", " if (data['text/html'] === html_output) {\n", " return [cell, data, j];\n", " }\n", " }\n", " }\n", " }\n", "};\n", "\n", "// Register the function which deals with the matplotlib target/channel.\n", "// The kernel may be null if the page has been refreshed.\n", "if (IPython.notebook.kernel !== null) {\n", " IPython.notebook.kernel.comm_manager.register_target(\n", " 'matplotlib',\n", " mpl.mpl_figure_comm\n", " );\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "cols = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", "\n", "\n", "plt.figure()\n", "# plt.plot(rs, np.nansum(pk, axis=0)[:, 0], c=cols[k])\n", "# plt.plot(rs, np.nansum(pk_perm, axis=0)[:, 0], c=cols[k], ls=\"--\")\n", "for k in range(1, 2):\n", " plt.plot(rs, pk[k, :, 0], c=cols[k])\n", "# plt.plot(rs, pk_perm[k, :, 0], c=cols[k], ls=\"--\")\n", "# plt.fill_between(rs, pk[k, :, 0] - pk[k, :, 1], pk[k, :, 0] + pk[k, :, 1])\n", "\n", "# plt.plot(rs, np.sum(pk, axis=0)[:, 0])\n", "\n", "# plt.xscale(\"log\")\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "1279a8cb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9e0185ce", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "df973ed4", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T15:08:50.076207Z", "start_time": "2023-04-08T15:08:46.683983Z" }, "scrolled": false }, "outputs": [], "source": [ "\n", "\n", "plt.figure()\n", "\n", "\n", "k = 2\n", "\n", "rs, mu, std = mean_auto(k, \"mass_003_spinhigh\")\n", "rs, mu_perm, std_perm = mean_auto(k, \"mass003_spinlow\")\n", "z = mu / mu_perm\n", "deltaz = z * np.sqrt((std / mu)**2 + (std_perm / mu_perm)**2)\n", "plt.plot(rs, z, c=cols[0])\n", "plt.fill_between(rs, z - deltaz, z + deltaz, color=cols[0], alpha=0.3)\n", "\n", "\n", "# rs, mu, std = mean_auto(k, \"mass001_spinhigh\")\n", "# rs, mu_perm, std_perm = mean_auto(k, \"mass001_spinhigh_perm\")\n", "# z = mu / mu_perm\n", "# deltaz = z * np.sqrt((std / mu)**2 + (std_perm / mu_perm)**2)\n", "# plt.plot(rs, z, c=cols[1])\n", "# plt.fill_between(rs, z - deltaz, z + deltaz, color=cols[1], alpha=0.3)\n", "\n", "\n", "plt.axhline(1, c=\"black\", ls=\"--\")\n", "# plt.fill_between(rs, mu - std, mu + std, color=cols[2], alpha=0.3)\n", "\n", "plt.xscale(\"log\")\n", "# plt.yscale(\"log\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "7f500800", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T14:11:02.568517Z", "start_time": "2023-04-08T14:11:00.406477Z" } }, "outputs": [], "source": [ "# rs, corr = knnreader.read_auto(\"mass001_spinmedian_cross\", folder, rmin=0.5)\n", "# rs, corr_perm = knnreader.read_auto(\"mass001_spinmedian_cross_perm\", folder, rmin=0.5)\n", "\n", "# rs, cdf_low = knnreader.read_auto(\"mass001_spinmedian_cross_perm\", folder, rmin=0.5)\n", "rs, cdf_high = knnreader.read_auto(\"mass001_spinmedian_cross_perm\", folder, rmin=0.5)" ] }, { "cell_type": "code", "execution_count": null, "id": "6565101a", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T14:04:17.514165Z", "start_time": "2023-04-08T14:04:15.555281Z" } }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "84729726", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T15:04:01.025738Z", "start_time": "2023-04-08T15:03:56.792105Z" }, "scrolled": false }, "outputs": [], "source": [ "plt.figure()\n", "rs, mu, std = mean_auto(0, \"mass001_spinlow\")\n", "plt.plot(rs, mu, c=cols[0])\n", "plt.fill_between(rs, mu - std, mu + std, color=cols[0], alpha=0.5)\n", "\n", "rs, mu, std = mean_auto(0, \"mass001_spinlow_perm\")\n", "plt.plot(rs, mu, c=cols[1])\n", "plt.fill_between(rs, mu - std, mu + std, color=cols[1], alpha=0.5)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "0f85f943", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T14:11:05.066794Z", "start_time": "2023-04-08T14:11:04.362662Z" } }, "outputs": [], "source": [ "prk_low = knnreader.prk(rs, cdf_low)\n", "prk_high = knnreader.prk(rs, cdf_high)" ] }, { "cell_type": "code", "execution_count": null, "id": "5c862e8b", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T14:11:07.074775Z", "start_time": "2023-04-08T14:11:05.148559Z" } }, "outputs": [], "source": [ "k = 0\n", "\n", "plt.figure()\n", "\n", "for i in range(101):\n", " plt.plot(rs, prk_low[i, k, :], lw=0.1, c=cols[0])\n", " plt.plot(rs, prk_high[i, k, :], lw=0.1, c=cols[1])\n", "\n", " \n", "rs, mu, std = mean_auto(0, \"mass001\")\n", "plt.plot(rs, mu, c=cols[2])\n", "plt.fill_between(rs, mu - std, mu + std, color=cols[2], alpha=0.5)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "6682fa88", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T14:59:29.041395Z", "start_time": "2023-04-08T14:59:24.875903Z" } }, "outputs": [], "source": [ "rs, corr = knnreader.read_auto(\"mass001_spinmedian_cross\", folder, rmin=0.5)\n", "rs, corrperm = knnreader.read_auto(\"mass001_spinmedian_cross_perm\", folder, rmin=0.5)\n", "\n", "# rs, corr_low = knnreader.read_auto(\"mass001_spinlow_cross_perm\", folder, rmin=0.5)\n", "# rs, corr_high = knnreader.read_auto(\"mass001_spinhigh_cross_perm\", folder, rmin=0.5)" ] }, { "cell_type": "code", "execution_count": null, "id": "298f28b6", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T14:59:47.556944Z", "start_time": "2023-04-08T14:59:47.103398Z" } }, "outputs": [], "source": [ "k = 2\n", "plt.figure()\n", "for i in range(101):\n", " plt.plot(rs, corr[i, k, :], lw=0.1, c=cols[0])\n", " plt.plot(rs, corrperm[i, k, :], lw=0.1, c=cols[1])\n", "# plt.plot(rs, corr[i, k, :] - corrperm[i, k, :], lw=0.1, c=cols[0])\n", "# plt.plot(rs, , lw=0.1, c=cols[1])\n", " \n", "plt.xscale(\"log\")\n", "plt.yscale(\"log\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "a28d0290", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T13:59:25.401233Z", "start_time": "2023-04-08T13:59:25.157683Z" } }, "outputs": [], "source": [ "k = 0\n", "\n", "plt.figure()\n", "for i in range(101):\n", " plt.plot(rs, corr[i, k, :], c=cols[0], lw=0.1)\n", " \n", " \n", "for i in range(101):\n", " plt.plot(rs, corr_perm[i, k, :], c=cols[1], lw=0.1)\n", "\n", "plt.xscale(\"log\")\n", "plt.yscale(\"log\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "e86ce611", "metadata": { "ExecuteTime": { "end_time": "2023-04-08T09:30:44.330451Z", "start_time": "2023-04-08T09:30:44.295713Z" } }, "outputs": [], "source": [ "mean_prk.shape" ] }, { "cell_type": "code", "execution_count": null, "id": "fe9a0ef3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "de17207d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "e4cbad0c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "fe11b032", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "491be45e", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "f19accd3", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T16:51:43.224223Z", "start_time": "2023-04-07T16:51:35.597574Z" } }, "outputs": [], "source": [ "cols = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", "\n", "\n", "plt.figure()\n", "\n", "rs, cdf = knnreader.read_auto(\"mass001_spinlow\", folder, rmin=0.5)\n", "pk = knnreader.prob_kvolume(cdf, rs, True)\n", "for i in range(101):\n", " plt.plot(rs, pk[i, 5, :], lw=0.1, c=cols[0])\n", " \n", " \n", "rs, cdf = knnreader.read_auto(\"mass001_spinhigh\", folder, rmin=0.5)\n", "pk = knnreader.prob_kvolume(cdf, rs, True)\n", "for i in range(101):\n", " plt.plot(rs, pk[i, 5, :], lw=0.1, c=cols[1]) \n", " \n", " \n", "rs, cdf = knnreader.read_auto(\"mass001_spinhigh_perm\", folder, rmin=0.5)\n", "pk = knnreader.prob_kvolume(cdf, rs, True)\n", "for i in range(101):\n", " plt.plot(rs, pk[i, 5, :], lw=0.1, c=cols[2])\n", "\n", "# plt.xscale(\"log\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "5f735b44", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a273df53", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "900fd4f8", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "01974708", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T12:20:08.521290Z", "start_time": "2023-04-07T12:20:05.258954Z" } }, "outputs": [], "source": [ "cat = csiborgtools.read.HaloCatalogue(7444, paths, min_mass=1e12, max_dist=155/0.705)" ] }, { "cell_type": "code", "execution_count": null, "id": "47c494f6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "86f02695", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T11:51:11.124583Z", "start_time": "2023-04-07T11:51:11.094094Z" } }, "outputs": [], "source": [ "x = \"\"\n", "for key in auto_config.keys():\n", " x += key + \" \"" ] }, { "cell_type": "code", "execution_count": null, "id": "62d9e837", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T11:51:12.533128Z", "start_time": "2023-04-07T11:51:12.499981Z" } }, "outputs": [], "source": [ "x" ] }, { "cell_type": "code", "execution_count": null, "id": "db6fc6e4", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T10:28:20.801576Z", "start_time": "2023-04-07T10:28:20.766160Z" } }, "outputs": [], "source": [ "auto_config" ] }, { "cell_type": "code", "execution_count": null, "id": "8fdcfb01", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T10:21:14.858309Z", "start_time": "2023-04-07T10:21:14.826448Z" } }, "outputs": [], "source": [ "auto_folder = \"/mnt/extraspace/rstiskalek/csiborg/knn/auto/\"\n" ] }, { "cell_type": "code", "execution_count": null, "id": "1b5f37af", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T12:20:38.019809Z", "start_time": "2023-04-07T12:20:37.987281Z" } }, "outputs": [], "source": [ "np.log10(cat[\"totpartmass\"].min())" ] }, { "cell_type": "code", "execution_count": null, "id": "b5b2df40", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T11:13:18.959385Z", "start_time": "2023-04-07T11:13:13.072536Z" } }, "outputs": [], "source": [ "cols = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", "\n", "\n", "plt.figure()\n", "rs, cdf = knnreader.read_auto(\"004\", auto_folder)\n", "pk = knnreader.prob_kvolume(cdf, rs, normalise=True)\n", "for i in range(101):\n", " plt.plot(rs, pk[i, 0, :], c=cols[0], lw=0.1)\n", "\n", "\n", "rs, cdf = knnreader.read_auto(\"005\", auto_folder)\n", "pk = knnreader.prob_kvolume(cdf, rs, normalise=True)\n", "for i in range(101):\n", " plt.plot(rs, pk[i, 0, :], c=cols[1], lw=0.1)\n", "\n", " \n", "rs, cdf = knnreader.read_auto(\"001\", auto_folder)\n", "pk = knnreader.prob_kvolume(cdf, rs, normalise=True)\n", "for i in range(101):\n", " plt.plot(rs, pk[i, 0, :], c=cols[2], lw=0.1)\n", "\n", "# plt.xscale(\"log\")\n", "# plt.yscale(\"log\")\n", "\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "85c65eef", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "20ecf551", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "6ac70147", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T09:47:03.873611Z", "start_time": "2023-04-07T09:47:01.794363Z" } }, "outputs": [], "source": [ "cat = csiborgtools.read.HaloCatalogue(7444, paths)" ] }, { "cell_type": "code", "execution_count": null, "id": "b77b1377", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T07:49:23.539504Z", "start_time": "2023-04-07T07:45:50.514216Z" } }, "outputs": [], "source": [ "from tqdm import trange\n", "x = np.full((len(ics), 3), np.nan)\n", "for i in trange(len(ics)):\n", " cat = csiborgtools.read.HaloCatalogue(ics[i], paths, max_dist=155 / 0.705)\n", " for j, th in enumerate([1e12, 1e13, 1e14]):\n", " mask = cat[\"totpartmass\"] > th\n", " x[i, j] = np.nanmedian(cat[\"lambda200c\"][mask])" ] }, { "cell_type": "code", "execution_count": null, "id": "e55d821d", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T07:51:55.598449Z", "start_time": "2023-04-07T07:51:55.567861Z" } }, "outputs": [], "source": [ "np.mean(x[:, 2]), np.std(x[:, 2])" ] }, { "cell_type": "code", "execution_count": null, "id": "3bae7373", "metadata": { "ExecuteTime": { "end_time": "2023-04-07T11:12:14.971055Z", "start_time": "2023-04-07T11:12:14.938117Z" } }, "outputs": [], "source": [ "cdf.shape" ] }, { "cell_type": "code", "execution_count": null, "id": "127cb78e", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "8368d476", "metadata": {}, "outputs": [], "source": [ "np.nanmedian()" ] }, { "cell_type": "code", "execution_count": null, "id": "f6b5a68c", "metadata": { "ExecuteTime": { "end_time": "2023-04-06T17:59:09.028319Z", "start_time": "2023-04-06T17:59:08.953783Z" } }, "outputs": [], "source": [ "plt.figure()\n", "\n", "plt.scatter(cat[\"m200\"], cat[\"lambda200c\"], s=1)\n", "\n", "plt.xscale(\"log\")\n", "plt.yscale(\"log\")\n", "\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "2eb1c2e4", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9a79dde6", "metadata": { "ExecuteTime": { "end_time": "2023-04-05T13:42:26.370674Z", "start_time": "2023-04-05T13:42:22.862756Z" } }, "outputs": [], "source": [ "files = glob(\"/mnt/extraspace/rstiskalek/csiborg/knn/auto/*\")\n", "\n", "ks = [0, 1, 2, 3, 4, 5, 6, 7]\n", "rs, cdf, thresholds = knnreader.read(files, ks, rmin=0.01, rmax=100)" ] }, { "cell_type": "code", "execution_count": null, "id": "88de6882", "metadata": { "ExecuteTime": { "end_time": "2023-04-05T13:42:26.943147Z", "start_time": "2023-04-05T13:42:26.372382Z" } }, "outputs": [], "source": [ "pk = knnreader.prob_kvolume(cdf, rs, True)" ] }, { "cell_type": "code", "execution_count": null, "id": "dbb11ba2", "metadata": { "ExecuteTime": { "end_time": "2023-04-05T13:43:45.754506Z", "start_time": "2023-04-05T13:43:38.953908Z" } }, "outputs": [], "source": [ "cols = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", "\n", "plt.figure()\n", "n = 1\n", "for k in range(7):\n", " plt.plot(rs, np.mean(pk[:, n, k, :], axis=0), c=cols[k], label=r\"$k = {}$\".format(k))\n", " for i in range(101):\n", " plt.plot(rs, pk[i, n, k, :], c=cols[k], lw=0.05)\n", "\n", "plt.legend(frameon=False)\n", "plt.xlabel(r\"$r~\\left[\\mathrm{Mpc}\\right]$\")\n", "plt.ylabel(r\"$P\\left(k | V = 4 \\pi r^3 / 3\\right)$\")\n", "# plt.savefig(\"../plots/test.png\", dpi=450)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "6999c90d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "20bbeb54", "metadata": { "ExecuteTime": { "end_time": "2023-04-03T17:10:30.078450Z", "start_time": "2023-04-03T17:10:29.171089Z" } }, "outputs": [], "source": [ "n = 2\n", "k = 1\n", "\n", "x = cdf[:, n, k - 1, :] - cdf[:, n, k, :]\n", "\n", "plt.figure()\n", "for i in range(101):\n", " plt.plot(rs, x[i, :])\n", "\n", "plt.xscale(\"log\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "86091fcc", "metadata": { "ExecuteTime": { "end_time": "2023-04-03T17:13:07.495144Z", "start_time": "2023-04-03T17:13:06.635811Z" } }, "outputs": [], "source": [ "files = knnreader.cross_files(7444, \"/mnt/extraspace/rstiskalek/csiborg/knn/cross/\")" ] }, { "cell_type": "code", "execution_count": null, "id": "c0917bd5", "metadata": { "ExecuteTime": { "end_time": "2023-04-03T17:13:11.011391Z", "start_time": "2023-04-03T17:13:07.496523Z" } }, "outputs": [], "source": [ "ks = [0, 1, 2, 3, 4, 5, 6, 7]\n", "rs, cross, threshold = knnreader.read(files, ks, rmin=0.5)" ] }, { "cell_type": "code", "execution_count": null, "id": "beba86db", "metadata": { "ExecuteTime": { "end_time": "2023-04-03T17:13:11.152680Z", "start_time": "2023-04-03T17:13:11.013209Z" } }, "outputs": [], "source": [ "n = 0\n", "k = 1\n", "\n", "plt.figure()\n", "for i in range(100):\n", " plt.plot(rs, cross[i, n, k - 1, :] - cross[i, n, k, :])\n", "\n", "plt.xscale(\"log\")\n", "plt.axvline(2.65 / 0.705)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "adf96c3b", "metadata": { "ExecuteTime": { "end_time": "2023-04-03T14:25:45.275844Z", "start_time": "2023-04-03T14:25:44.855207Z" } }, "outputs": [], "source": [ "\"/mnt/extraspace/hdesmond/ramses_out_7444/output_00950/clump_00950.dat\"" ] }, { "cell_type": "code", "execution_count": null, "id": "8179c3e0", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "f803105a", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "55544ddd", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "3c7add55", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "75a5e6f7", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "7b6d813b", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "19115f4c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "4218b673", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:27:07.868868Z", "start_time": "2023-04-01T08:27:04.088778Z" } }, "outputs": [], "source": [ "cat1 = csiborgtools.read.HaloCatalogue(7444, min_mass=1e13, max_dist=155 / 0.705)\n", "cat2 = csiborgtools.read.HaloCatalogue(7468, min_mass=1e13, max_dist=155 / 0.705)" ] }, { "cell_type": "code", "execution_count": null, "id": "5ff7a1b6", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:27:07.923418Z", "start_time": "2023-04-01T08:27:07.870519Z" } }, "outputs": [], "source": [ "knncdf = csiborgtools.match.kNN_CDF()\n", "\n", "\n", "knn1 = NearestNeighbors()\n", "knn1.fit(cat1.positions)\n", "\n", "knn2 = NearestNeighbors()\n", "knn2.fit(cat2.positions)\n", "\n", "# rs, cdf = knncdf(knn, nneighbours=2, Rmax=155 / 0.705, rmin=0.01, rmax=100,\n", "# nsamples=int(1e6), neval=int(1e4), random_state=42, batch_size=int(1e6))" ] }, { "cell_type": "code", "execution_count": null, "id": "88a31951", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:46:56.273595Z", "start_time": "2023-04-01T08:46:56.088408Z" } }, "outputs": [], "source": [ "!ls /mnt/extraspace/rstiskalek/csiborg/knn/cross/knncdf_7444_7468.p" ] }, { "cell_type": "code", "execution_count": null, "id": "b7c2d465", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T10:05:26.294670Z", "start_time": "2023-04-01T10:05:25.954223Z" } }, "outputs": [], "source": [ "from glob import glob" ] }, { "cell_type": "code", "execution_count": null, "id": "6083fcbe", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T10:05:52.758709Z", "start_time": "2023-04-01T10:05:52.705627Z" } }, "outputs": [], "source": [ "files = glob(\"/mnt/extraspace/rstiskalek/csiborg/knn/cross/*\")" ] }, { "cell_type": "code", "execution_count": null, "id": "6d6b9d57", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T10:06:00.023427Z", "start_time": "2023-04-01T10:05:59.645149Z" } }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "980f74df", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T10:12:49.924557Z", "start_time": "2023-04-01T10:12:49.714545Z" } }, "outputs": [], "source": [ "cols = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", "\n", "plt.figure()\n", "for file in files:\n", " d = joblib.load(file)\n", " mask = d[\"rs\"] > 0.1\n", " plt.plot(d[\"rs\"][mask], d[\"corr_0\"][0, mask], c=cols[0], lw=0.4)\n", "\n", "plt.xscale(\"log\")\n", "plt.axvline(2.65 / 0.705, lw=0.8, c=\"red\", ls=\"--\")\n", "# plt.yscale(\"log\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "997e8f91", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "25936419", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:51:11.896378Z", "start_time": "2023-04-01T08:51:11.865150Z" } }, "outputs": [], "source": [ "5500 / comb(5, 3)" ] }, { "cell_type": "code", "execution_count": null, "id": "043a93ff", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:50:37.181588Z", "start_time": "2023-04-01T08:50:36.718438Z" } }, "outputs": [], "source": [ "plt.figure()\n", "plt.plot(d[\"rs\"], d[\"corr_0\"][1, :])\n", "plt.plot(d[\"rs\"], d[\"corr_1\"][1, :])\n", "plt.plot(d[\"rs\"], d[\"corr_2\"][1, :])\n", "\n", "# plt.yscale(\"log\")\n", "# plt.xscale(\"log\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "279d8e58", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "d08b0dc3", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:27:19.271922Z", "start_time": "2023-04-01T08:27:07.925222Z" } }, "outputs": [], "source": [ "# rs, cdf = knncdf(knn1, nneighbours=2, Rmax=155 / 0.705, rmin=0.01, rmax=100,\n", "# nsamples=int(1e6), neval=int(1e4), random_state=42, batch_size=int(1e6))\n", "\n", "rs, cdf0, cdf1, joint_cdf = knncdf.joint(knn1, knn2, nneighbours=8, Rmax=155 / 0.705,\n", " rmin=0.01, rmax=100, nsamples=int(1e6), neval=int(1e4),\n", " random_state=42, batch_size=int(1e6))" ] }, { "cell_type": "code", "execution_count": null, "id": "0866fe23", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:27:19.436097Z", "start_time": "2023-04-01T08:27:19.397998Z" } }, "outputs": [], "source": [ "cdf0 = knncdf.clipped_cdf(cdf0)\n", "cdf1 = knncdf.clipped_cdf(cdf1)\n", "joint_cdf = knncdf.clipped_cdf(joint_cdf)" ] }, { "cell_type": "code", "execution_count": null, "id": "b0649b7e", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:27:59.413449Z", "start_time": "2023-04-01T08:27:59.244281Z" } }, "outputs": [], "source": [ "corr = knncdf.joint_to_corr(cdf0, cdf1, joint_cdf)" ] }, { "cell_type": "code", "execution_count": null, "id": "b4d28785", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:33:12.811065Z", "start_time": "2023-04-01T08:33:12.386639Z" } }, "outputs": [], "source": [ "ics = [7444, 7468, 7492, 7516, 7540, 7564, 7588, 7612, 7636, 7660, 7684,\n", " 7708, 7732, 7756, 7780, 7804, 7828, 7852, 7876, 7900, 7924, 7948,\n", " 7972, 7996, 8020, 8044, 8068, 8092, 8116, 8140, 8164, 8188, 8212,\n", " 8236, 8260, 8284, 8308, 8332, 8356, 8380, 8404, 8428, 8452, 8476,\n", " 8500, 8524, 8548, 8572, 8596, 8620, 8644, 8668, 8692, 8716, 8740,\n", " 8764, 8788, 8812, 8836, 8860, 8884, 8908, 8932, 8956, 8980, 9004,\n", " 9028, 9052, 9076, 9100, 9124, 9148, 9172, 9196, 9220, 9244, 9268,\n", " 9292, 9316, 9340, 9364, 9388, 9412, 9436, 9460, 9484, 9508, 9532,\n", " 9556, 9580, 9604, 9628, 9652, 9676, 9700, 9724, 9748, 9772, 9796,\n", " 9820, 9844]" ] }, { "cell_type": "code", "execution_count": null, "id": "aaac3eff", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:34:00.873304Z", "start_time": "2023-04-01T08:34:00.842613Z" } }, "outputs": [], "source": [ "from scipy.special import comb\n", "\n", "from itertools import combinations\n", "# for subset in itertools.combinations(stuff, L):" ] }, { "cell_type": "code", "execution_count": null, "id": "042fe713", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:34:21.387439Z", "start_time": "2023-04-01T08:34:21.325627Z" } }, "outputs": [], "source": [ "list(combinations(ics, 2))" ] }, { "cell_type": "code", "execution_count": null, "id": "762ec153", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "8c43f012", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:33:18.308219Z", "start_time": "2023-04-01T08:33:18.275965Z" } }, "outputs": [], "source": [ "comb()" ] }, { "cell_type": "code", "execution_count": null, "id": "aaca64f3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9fb9e08e", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T08:28:35.326570Z", "start_time": "2023-04-01T08:28:35.158664Z" } }, "outputs": [], "source": [ "plt.figure()\n", "\n", "# plt.plot(rs, knncdf.peaked_cdf(cdf0[0, :]))\n", "# plt.plot(rs, knncdf.peaked_cdf(cdf1[0, :]))\n", "# plt.plot(rs, knncdf.peaked_cdf(joint_cdf[0, :]))\n", "for i in range(8):\n", " plt.plot(rs, corr[i, :])\n", "\n", "\n", "# plt.yscale(\"log\")\n", "# plt.xscale(\"log\")\n", "plt.axvline(2.65 / 0.705, c=\"red\", ls=\"--\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "f295a0f9", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "0d5f3d02", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T07:20:34.202874Z", "start_time": "2023-04-01T07:20:28.353637Z" } }, "outputs": [], "source": [ "dist1, dist2 = knncdf.joint(knn1, knn2, nneighbours=2, Rmax=155 / 0.705, rmin=0.01, rmax=100,\n", " nsamples=int(1e6), neval=int(1e4), random_state=42, batch_size=int(1e6))" ] }, { "cell_type": "code", "execution_count": null, "id": "a76c8124", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T07:20:41.074933Z", "start_time": "2023-04-01T07:20:41.041448Z" } }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "127b91a8", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "8b9a8cf0", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a1825f00", "metadata": { "ExecuteTime": { "end_time": "2023-04-01T06:01:29.388586Z", "start_time": "2023-04-01T06:01:29.321025Z" }, "scrolled": false }, "outputs": [], "source": [ "plt.figure()\n", "plt.plot(rs, knncdf.peaked_cdf(cdf[0, :]))\n", "\n", "plt.yscale(\"log\" )\n", "plt.xscale(\"log\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "289549a0", "metadata": { "ExecuteTime": { "end_time": "2023-03-31T22:55:20.690887Z", "start_time": "2023-03-31T22:55:20.656550Z" } }, "outputs": [], "source": [ "mask" ] }, { "cell_type": "code", "execution_count": null, "id": "7a8c5202", "metadata": { "ExecuteTime": { "end_time": "2023-03-31T22:54:52.330633Z", "start_time": "2023-03-31T22:54:52.299548Z" } }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "46f54897", "metadata": { "ExecuteTime": { "end_time": "2023-03-31T22:54:25.138813Z", "start_time": "2023-03-31T22:54:25.105044Z" } }, "outputs": [], "source": [ "dist" ] }, { "cell_type": "code", "execution_count": null, "id": "58806ab9", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "c59b3a19", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "e345945c", "metadata": { "ExecuteTime": { "end_time": "2023-03-31T09:35:49.059172Z", "start_time": "2023-03-31T09:35:42.817291Z" } }, "outputs": [], "source": [ "m1 = (rs > 1) & (rs < 35)\n", "\n", "fig, axs = plt.subplots(ncols=3, figsize=(6.4 * 1.5, 4.8), sharey=True)\n", "fig.subplots_adjust(wspace=0)\n", "for k in range(3):\n", " for n in range(len(ics)):\n", " m = m1 & (cdfs[n, k, :] > 1e-3)\n", " axs[k].plot(rs[m], cdfs[n, k, m], c=\"black\", lw=0.05)\n", "\n", " axs[k].set_xscale(\"log\")\n", " axs[k].set_yscale(\"log\")\n", " axs[k].set_title(r\"$k = {}$\".format(k))\n", " axs[k].set_xlabel(r\"$r~\\left[\\mathrm{Mpc}\\right]$\")\n", "\n", "axs[0].set_ylabel(r\"Peaked CDF\")\n", "\n", "plt.tight_layout(w_pad=0)\n", "fig.savefig(\"../plots/peaked_cdf.png\", dpi=450)\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "9f8786c0", "metadata": { "ExecuteTime": { "end_time": "2023-03-31T09:50:10.103650Z", "start_time": "2023-03-31T09:50:02.221741Z" } }, "outputs": [], "source": [ "m = (rs > 0.5) & (rs < 35)\n", "\n", "fig, axs = plt.subplots(ncols=3, figsize=(6.4 * 1.5, 4.8), sharey=True)\n", "fig.subplots_adjust(wspace=0)\n", "for k in range(3):\n", " mu = np.nanmean(cdfs[:, k, :], axis=0)\n", "\n", " for n in range(len(ics)):\n", " axs[k].plot(rs[m], (cdfs[n, k, :] / mu)[m], c=\"black\", lw=0.1)\n", "\n", " axs[k].set_ylim(0.5, 1.5)\n", " axs[k].axhline(1, ls=\"--\", c=\"red\", zorder=0)\n", " axs[k].axvline(2.65 / 0.705, ls=\"--\", c=\"red\", zorder=0)\n", " axs[k].set_xscale(\"log\")\n", " axs[k].set_xlabel(r\"$r~\\left[\\mathrm{Mpc}\\right]$\")\n", " axs[k].set_title(r\"$k = {}$\".format(k))\n", " \n", "axs[0].set_ylabel(r\"Relative peaked CDF\")\n", "plt.tight_layout(w_pad=0)\n", "fig.savefig(\"../plots/peaked_cdf_ratios.png\", dpi=450)\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "2f64cec1", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T15:46:31.532259Z", "start_time": "2023-03-30T15:46:30.977449Z" } }, "outputs": [], "source": [ "plt.figure()\n", "k = 2\n", "mu = np.nanmean(cdfs[:, k, :], axis=0)\n", "# plt.plot(rs, mu, c=\"black\")\n", "for i in range(len(ics)):\n", " plt.plot(rs, cdfs[i, k, :] / mu)\n", "\n", "\n", "plt.ylim(0.75, 1.25)\n", "plt.axhline(1, ls=\"--\", c=\"black\")\n", "plt.xscale(\"log\")\n", "# plt.yscale(\"log\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "a6784766", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "b416efb3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "e650fe2c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "1311187d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "03e49a11", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T14:58:29.937514Z", "start_time": "2023-03-30T14:58:29.530552Z" } }, "outputs": [], "source": [ "x.shape" ] }, { "cell_type": "code", "execution_count": null, "id": "24578cba", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "b0024bbf", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "6dc55410", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T14:41:24.290602Z", "start_time": "2023-03-30T14:41:16.204679Z" } }, "outputs": [], "source": [ "dist0, __ = knn0.kneighbors(X, 3)\n", "distx, __ = knnx.kneighbors(X, 3)" ] }, { "cell_type": "code", "execution_count": null, "id": "11508c3c", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T14:41:24.560538Z", "start_time": "2023-03-30T14:41:24.292674Z" } }, "outputs": [], "source": [ "x0, y0 = knncdf.peaked_cdf_from_samples(dist0[:, 0], 0.5, 20, neval=10000)\n", "xx, yx = knncdf.peaked_cdf_from_samples(distx[:, 0], 0.5, 20, neval=10000)" ] }, { "cell_type": "code", "execution_count": null, "id": "404501ad", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T14:41:24.598933Z", "start_time": "2023-03-30T14:41:24.562062Z" } }, "outputs": [], "source": [ "distx[:, 0].min()" ] }, { "cell_type": "code", "execution_count": null, "id": "43e08969", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T14:46:10.262865Z", "start_time": "2023-03-30T14:46:09.486658Z" } }, "outputs": [], "source": [ "plt.figure()\n", "plt.plot(x0, y0)\n", "plt.plot(xx, yx)\n", "\n", "plt.yscale(\"log\")\n", "plt.xscale(\"log\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "39547a75", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "9e160b38", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T13:02:02.033125Z", "start_time": "2023-03-30T13:02:00.674878Z" } }, "outputs": [], "source": [ "plt.figure()\n", "\n", "for i in range(3):\n", " plt.plot(*knncdf.cdf_from_samples(dist0[:, i], 1, 25))\n", " plt.plot(*knncdf.cdf_from_samples(distx[:, i], 1, 25))\n", "\n", "# plt.xlim(0.5, 25)\n", "\n", "plt.yscale(\"log\")\n", "plt.xscale(\"log\")\n", "plt.xlabel(r\"$r~\\left[\\mathrm{Mpc}\\right]$\")\n", "\n", "\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "4bfb65d8", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "4703d81c", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T12:13:35.958444Z", "start_time": "2023-03-30T12:13:35.924241Z" } }, "outputs": [], "source": [ "x = dist[:, 0]\n", "q = np.linspace(0, 100, int(x.size / 5))\n", "\n", "p = np.percentile(x, q)" ] }, { "cell_type": "code", "execution_count": null, "id": "b054c6df", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T12:16:50.052225Z", "start_time": "2023-03-30T12:16:50.020395Z" } }, "outputs": [], "source": [ "y = np.sort(x)\n", "\n", "yy = np.arange(y.size) / y.size" ] }, { "cell_type": "code", "execution_count": null, "id": "5445c964", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T12:16:53.599925Z", "start_time": "2023-03-30T12:16:53.521266Z" } }, "outputs": [], "source": [ "plt.figure()\n", "plt.plot(p, q / 100)\n", "\n", "plt.plot(y, yy)\n", "\n", "# plt.yscale(\"log\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "87fe5874", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "fb0ad6b9", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T12:03:34.387625Z", "start_time": "2023-03-30T12:03:34.290961Z" } }, "outputs": [], "source": [ "plt.figure()\n", "plt.hist(dist[:, 0], bins=\"auto\", histtype=\"step\")\n", "plt.hist(dist[:, 1], bins=\"auto\", histtype=\"step\")\n", "plt.hist(dist[:, 2], bins=\"auto\", histtype=\"step\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "c2aba833", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "6f70f238", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "03bcb191", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T11:38:04.906150Z", "start_time": "2023-03-30T11:38:04.758107Z" } }, "outputs": [], "source": [ "plt.figure()\n", "plt.hist(cat0[\"dec\"], bins=\"auto\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "e5ad4722", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T11:53:23.004853Z", "start_time": "2023-03-30T11:53:22.971967Z" } }, "outputs": [], "source": [ "gen = np.random.default_rng(22)" ] }, { "cell_type": "code", "execution_count": null, "id": "785b530a", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T11:53:23.330397Z", "start_time": "2023-03-30T11:53:23.296612Z" } }, "outputs": [], "source": [ "gen.normal()" ] }, { "cell_type": "code", "execution_count": null, "id": "b3d3b5e6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "464b606d", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T11:36:13.649124Z", "start_time": "2023-03-30T11:36:12.995693Z" } }, "outputs": [], "source": [ "theta = np.linspace( t, np.pi, 100)\n", "\n", "plt.figure()\n", "plt.plot(theta, np.sin(theta))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "c29049f5", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "cd2a3295", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "af9abf04", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T11:10:11.104389Z", "start_time": "2023-03-30T11:10:11.070499Z" } }, "outputs": [], "source": [ "X = np.array([-3.9514747, -0.6966991, 2.97158]).reshape(1, -1)\n", "\n", "X" ] }, { "cell_type": "code", "execution_count": null, "id": "e181b3c3", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T11:32:17.840355Z", "start_time": "2023-03-30T11:32:17.351883Z" } }, "outputs": [], "source": [ "dist, indxs = knn0.kneighbors(X, n_neighbors=1)\n", "\n", "dist, indxs" ] }, { "cell_type": "code", "execution_count": null, "id": "d38fd960", "metadata": { "ExecuteTime": { "end_time": "2023-03-30T11:10:18.182326Z", "start_time": "2023-03-30T11:10:18.145629Z" } }, "outputs": [], "source": [ "cat0.positions[indxs]" ] }, { "cell_type": "code", "execution_count": null, "id": "a16ddc2f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "bbbe8fb6", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "759a0149", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "312c96c9", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "b097637b", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "2ced23cb", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "be26cbcc", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "venv_galomatch", "language": "python", "name": "venv_galomatch" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": 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