mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-10-19 05:35:05 +02:00
fdb0df8d4c
* Move paths to a separate file * Add mmain reader * Add a verbosity flag * Fix imports * Fix bug * Rename files * Return ultimate parents * Add script to generate mmain * Remove mmain path * edit path * Add mmain path * Change function name * Rename function * Turn off verbose * Fix list requirement * Edit init match paths * Fix init pathing * Edit paths docs * Edit dumpdir name * Rename path * Fix split paths * Remove unused import * Add comment * Update readme * remove read mmain * Rename haloatalogue * Fix minor bugs * Update nbs * Add create directory option * Move split jobs * Move spliot jobs * Remove splitting * Add import * Edit script * Deeper split folder * Fix paths bug * Rename catalogue * Rename Catalogue * Add new clumpread * Edit paths * add knn paths * Update commenting * Update imports * Add more conversions * Update temp file * Add a note * Add catalogue * Cooment * Update TODO * Update script * add nb * Update * pep8 * edit paths & pep8 * Fix knn auto paths * add paths docs * Add auto and cross knn paths * Add new paths * Simplify tpcf reading * pep8 patch * update readme * Update progress * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * pep8 * Pep 8 and restructure * add lambda spin * add clump and halo * add checks * Edit halo profile fit * Update gitignore * backup script
1786 lines
101 KiB
Plaintext
1786 lines
101 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"id": "5a38ed25",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T14:16:01.928614Z",
|
|
"start_time": "2023-03-24T14:15:34.242247Z"
|
|
},
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"not found\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import numpy as np\n",
|
|
"import numpy\n",
|
|
"%matplotlib notebook\n",
|
|
"import matplotlib\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"try:\n",
|
|
" import csiborgtools\n",
|
|
"except ModuleNotFoundError:\n",
|
|
" print(\"not found\")\n",
|
|
" import sys\n",
|
|
" sys.path.append(\"../\")\n",
|
|
" import csiborgtools\n",
|
|
"# import utils\n",
|
|
"import joblib\n",
|
|
"\n",
|
|
"from scipy.stats import spearmanr\n",
|
|
"from datetime import datetime\n",
|
|
"\n",
|
|
"from tqdm import tqdm, trange\n",
|
|
"from numba import jit\n",
|
|
"from scipy.ndimage import gaussian_filter\n",
|
|
"\n",
|
|
"from os.path import join\n",
|
|
"%load_ext autoreload\n",
|
|
"%autoreload 2\n",
|
|
"\n",
|
|
"%load_ext line_profiler"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"id": "190d39e6",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T14:16:12.485845Z",
|
|
"start_time": "2023-03-24T14:16:01.930739Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"cat0 = csiborgtools.read.ClumpsCatalogue(7468)\n",
|
|
"catx = csiborgtools.read.ClumpsCatalogue(7588)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"id": "09c93ab0",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T14:16:31.435607Z",
|
|
"start_time": "2023-03-24T14:16:12.487458Z"
|
|
},
|
|
"scrolled": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"reader = csiborgtools.read.PairOverlap(cat0, catx, max_dist=150 / 0.705)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"id": "650cbe8a",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T14:27:04.213308Z",
|
|
"start_time": "2023-03-24T14:27:00.679174Z"
|
|
},
|
|
"scrolled": false
|
|
},
|
|
"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(\"<div id='\" + id + \"'></div>\");\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",
|
|
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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",
|
|
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\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 = '<i class=\"fa ' + image + ' fa-lg\"></i>';\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 = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\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": [
|
|
"<IPython.core.display.Javascript object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<img src=\"data:image/png;base64,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\" width=\"640\">"
|
|
],
|
|
"text/plain": [
|
|
"<IPython.core.display.HTML object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"ks = np.argsort(reader.cat0(\"totpartmass\"))[::-1]\n",
|
|
"k = ks[1]\n",
|
|
"\n",
|
|
"\n",
|
|
"plt.figure()\n",
|
|
"plt.scatter(reader.dist(False, \"r200\")[k], reader.mass_ratio()[k], c=reader.overlap(False)[k])\n",
|
|
"plt.colorbar(label=\"Overlap\")\n",
|
|
"\n",
|
|
"plt.title(r\"$\\log M_{{\\rm tot}} / M_\\odot = {:.4f}$\".format(np.log10(reader.cat0(\"totpartmass\")[k])))\n",
|
|
"plt.xlabel(r\"$\\Delta r_i / R_{200c}$\")\n",
|
|
"plt.ylabel(r\"$|\\log \\dfrac{M_i}{M_{\\rm tot}}|$\")\n",
|
|
"plt.tight_layout()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"id": "51dd52f0",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T14:49:25.961273Z",
|
|
"start_time": "2023-03-24T14:27:05.607189Z"
|
|
},
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Starting: 2023-03-24 14:27:05.644524.\n",
|
|
"Loaded `clump0`: 2023-03-24 14:41:48.868024.\n",
|
|
"Loaded `clumpx`: 2023-03-24 14:49:25.871648.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(\"Starting: {}.\".format(datetime.now()))\n",
|
|
"clumps0 = np.load(\"/mnt/extraspace/rstiskalek/csiborg/initmatch/clump_7468_particles.npy\", allow_pickle=True)\n",
|
|
"print(\"Loaded `clump0`: {}.\".format(datetime.now()))\n",
|
|
"clumpsx = np.load(\"/mnt/extraspace/rstiskalek/csiborg/initmatch/clump_7588_particles.npy\", allow_pickle=True)\n",
|
|
"print(\"Loaded `clumpx`: {}.\".format(datetime.now()))\n",
|
|
"\n",
|
|
"overlapper = csiborgtools.match.ParticleOverlap()\n",
|
|
"\n",
|
|
"hid2clumps0 = {hid: n for n, hid in enumerate(clumps0[\"ID\"])}\n",
|
|
"hid2clumpsx = {hid: n for n, hid in enumerate(clumpsx[\"ID\"])}"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 33,
|
|
"id": "bcef2505",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T15:09:47.965132Z",
|
|
"start_time": "2023-03-24T15:08:50.141995Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Convert positions to cell IDs\n",
|
|
"overlapper.clumps_pos2cell(clumps0)\n",
|
|
"overlapper.clumps_pos2cell(clumpsx)\n",
|
|
"\n",
|
|
"mins0, maxs0 = csiborgtools.match.get_clumplims(clumps0, overlapper.inv_clength, overlapper.nshift)\n",
|
|
"minsx, maxsx = csiborgtools.match.get_clumplims(clumpsx, overlapper.inv_clength, overlapper.nshift)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 34,
|
|
"id": "e2c24b54",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T15:10:35.352871Z",
|
|
"start_time": "2023-03-24T15:09:47.966986Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"delta_bckg = overlapper.make_bckg_delta(clumps0)\n",
|
|
"delta_bckg = overlapper.make_bckg_delta(clumpsx, delta=delta_bckg)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 369,
|
|
"id": "fb4e8c0a",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T17:04:22.358413Z",
|
|
"start_time": "2023-03-24T17:01:54.600744Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"smooth_kwargs = {\"sigma\": 1, \"truncate\": 4, \"mode\": \"constant\", \"cval\": 0.0}\n",
|
|
"\n",
|
|
"delta_bckg_smooth = gaussian_filter(delta_bckg, **smooth_kwargs)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 363,
|
|
"id": "bb707fb2",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T17:00:16.973318Z",
|
|
"start_time": "2023-03-24T17:00:16.011637Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Ratio is 0.9820815\n",
|
|
"Original overlap is 0.6785714\n",
|
|
"Smoothed overlap is 0.6664124\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0.32628544480462635"
|
|
]
|
|
},
|
|
"execution_count": 363,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# k = 24734 # skull!\n",
|
|
"\n",
|
|
"ks = np.argsort(reader.cat0(\"totpartmass\"))[::-1]\n",
|
|
"# k = ks[1]\n",
|
|
"k = 331\n",
|
|
"n = 0\n",
|
|
"\n",
|
|
"print(\"Ratio is \", summed_ratio[k])\n",
|
|
"\n",
|
|
"print(\"Original overlap is \", overlap_raw[k][n])\n",
|
|
"print(\"Smoothed overlap is \", overlap_smoothed[k][n])\n",
|
|
"\n",
|
|
"index_cl0 = hid2clumps0[reader.cat0(\"index\", k)]\n",
|
|
"cl0 = clumps0[index_cl0][0]\n",
|
|
"mins_cl0, maxs_cl0 = mins0[index_cl0], maxs0[index_cl0]\n",
|
|
"\n",
|
|
"index_clx = hid2clumpsx[reader.catx(\"index\", reader[\"match_indxs\"][k][n])]\n",
|
|
"clx = clumpsx[index_clx][0]\n",
|
|
"mins_clx, maxs_clx = minsx[index_clx], maxsx[index_clx]\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"delta1, delta2, cellmins, nonzero = overlapper.make_deltas(\n",
|
|
" cl0, clx, mins_cl0, maxs_cl0, mins_clx, maxs_clx, smooth_kwargs=smooth_kwargs)\n",
|
|
"\n",
|
|
"csiborgtools.match.calculate_overlap(delta1, delta2, cellmins, delta_bckg_smooth)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 364,
|
|
"id": "5eeed44f",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-03-24T17:00:19.825171Z",
|
|
"start_time": "2023-03-24T17:00:19.787750Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"NGP/smoothed overlap 0.6785714 0.6664124\n",
|
|
"0.32628544480462635\n",
|
|
"Sum is 0.32628544480462635\n",
|
|
"Originally NGP/smoothed was 0.6785714 0.6664124\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"xs = []\n",
|
|
"for n in range(reader[\"match_indxs\"][k].size):\n",
|
|
"\n",
|
|
" index_clx = hid2clumpsx[reader.catx(\"index\", reader[\"match_indxs\"][k][n])]\n",
|
|
" clx = clumpsx[index_clx][0]\n",
|
|
" mins_clx, maxs_clx = minsx[index_clx], maxsx[index_clx]\n",
|
|
" \n",
|
|
" print(\"NGP/smoothed overlap \", overlap_raw[k][n], overlap_smoothed[k][n])\n",
|
|
" delta1, delta2, cellmins, nonzero1 = overlapper.make_deltas(\n",
|
|
" cl0, clx, mins_cl0, maxs_cl0, mins_clx, maxs_clx, smooth_kwargs=smooth_kwargs)\n",
|
|
" \n",
|
|
" x = csiborgtools.match.calculate_overlap(delta1, delta2, cellmins, delta_bckg_smooth)\n",
|
|
" print(x)\n",
|
|
" xs.append(x)\n",
|
|
" \n",
|
|
"print(\"Sum is \", sum(xs))\n",
|
|
"print(\"Originally NGP/smoothed was \", summed_raw[k], summed_smoothed[k])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "1db1bc57",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5883ecc7",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-31T17:51:03.510067Z",
|
|
"start_time": "2023-01-31T17:51:03.469080Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a58b300c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "56b90375",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-28T18:54:51.064154Z",
|
|
"start_time": "2023-01-28T18:54:47.314086Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"dlogm = [None] * len(indxs)\n",
|
|
"mass = [None] * len(indxs)\n",
|
|
"for k in trange(len(indxs)):\n",
|
|
" dlogm[k] = np.abs(np.log10(cat[0][\"totpartmass\"][k]) - np.log10(cat[1][\"totpartmass\"][indxs[k]]))\n",
|
|
" mass[k] = np.ones(indxs[k].size) * cat[0][\"totpartmass\"][k]\n",
|
|
"dlogm = np.asanyarray(dlogm)\n",
|
|
"mass = np.asanyarray(mass)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e44414b7",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-28T18:56:19.841434Z",
|
|
"start_time": "2023-01-28T18:56:19.041227Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure()\n",
|
|
"plt.scatter(np.concatenate(dlogm), np.concatenate(overlap), s=1, rasterized=True)\n",
|
|
"t = np.linspace(0, 2)\n",
|
|
"plt.plot(t, 10**(-t), c=\"red\", label=r\"$10^{-|\\log M_1 / M_2|}$\")\n",
|
|
"plt.xlabel(r\"$|\\log M_1 / M_2|$\")\n",
|
|
"plt.ylabel(r\"$\\mathcal{O}$\")\n",
|
|
"plt.legend()\n",
|
|
"plt.tight_layout()\n",
|
|
"# plt.savefig(\"../plots/mass_comparison.png\", dpi=450)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "03cec1b7",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "1cde4797",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-28T15:19:36.573717Z",
|
|
"start_time": "2023-01-28T15:19:34.985074Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"for k in trange(len(indxs)):\n",
|
|
" if np.any((dlogm[k] > 1.75) & (overlap[k] > 0.15)):\n",
|
|
" print(k)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "58b2cb87",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-28T15:27:57.709539Z",
|
|
"start_time": "2023-01-28T15:27:57.131915Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"k = 97788\n",
|
|
"print(dlogm[k])\n",
|
|
"print(overlap[k])\n",
|
|
"n = np.argmax(overlap[k])\n",
|
|
"\n",
|
|
"index_cl0 = [cl[1] for cl in clumps0].index(cat[0][k][\"index\"])\n",
|
|
"cl0 = clumps0[index_cl0][0]\n",
|
|
"mins_cl0, maxs_cl0 = mins0[index_cl0], maxs0[index_cl0]\n",
|
|
"\n",
|
|
"index_clx = [cl[1] for cl in clumpsx].index(cat[1][\"index\"][indxs[k]][n])\n",
|
|
"clx = clumpsx[index_clx][0]\n",
|
|
"mins_clx, maxs_clx = minsx[index_clx], maxsx[index_clx]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "f5193d37",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-28T15:28:02.049121Z",
|
|
"start_time": "2023-01-28T15:28:02.016020Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"delta1, delta2, cellmins = overlapper.make_deltas(cl0, clx, mins_cl0, maxs_cl0, mins_clx, maxs_clx)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "6e0176db",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-28T15:28:03.044781Z",
|
|
"start_time": "2023-01-28T15:28:03.010050Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"overlapper.overlap(delta1, delta2, cellmins, delta)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a3993216",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-28T15:28:03.662552Z",
|
|
"start_time": "2023-01-28T15:28:03.630680Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"delta1.sum() / delta2.sum()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "120b0b61",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5170b359",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-28T15:28:05.961500Z",
|
|
"start_time": "2023-01-28T15:28:05.857277Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure()\n",
|
|
"plt.imshow(np.sum(delta1, axis=2))\n",
|
|
"plt.show()\n",
|
|
"\n",
|
|
"plt.figure()\n",
|
|
"plt.imshow(np.sum(delta2, axis=2))\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "adcca1e1",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d74da689",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "0989f96e",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"start_time": "2023-01-26T09:49:07.667Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ncounter = len(indxs[k])\n",
|
|
"true_overlap = np.full(ncounter, np.nan)\n",
|
|
"spherical_overlap = np.full(ncounter, np.nan)\n",
|
|
"\n",
|
|
"for n in trange(len(indxs[k])):\n",
|
|
" clx = clumpsx[[cl[1] for cl in clumpsx].index(cat[1][\"index\"][indxs[k]][n])][0]\n",
|
|
" \n",
|
|
" R1 = (3 * cl0.size / (4 * np.pi))**(1./3) * 1 / 2048\n",
|
|
" R2 = (3 * clx.size / (4 * np.pi))**(1./3) * 1 / 2048\n",
|
|
" d = np.linalg.norm([np.mean(cl0[p]) - np.mean(clx[p]) for p in ('x', 'y', 'z')])\n",
|
|
" \n",
|
|
" spherical_overlap[n] = csiborgtools.match.spherical_overlap(R1, R2, d)\n",
|
|
" true_overlap[n] = overlapper(cl0, clx, delta)\n",
|
|
" \n",
|
|
"# print(true_overlap, spherical_overlap)\n",
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "6007e537",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"start_time": "2023-01-26T09:49:07.668Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure()\n",
|
|
"plt.scatter(true_overlap, spherical_overlap)\n",
|
|
"\n",
|
|
"t = np.linspace(0, 1, 100)\n",
|
|
"plt.plot(t, t, c=\"k\", ls=\"--\")\n",
|
|
"\n",
|
|
"plt.xlabel(\"True overlap\")\n",
|
|
"plt.ylabel(\"Spherical overlap\")\n",
|
|
"# plt.xscale(\"log\")\n",
|
|
"# plt.yscale(\"log\")\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "fd1a9591",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "2a4062f2",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"start_time": "2023-01-26T09:49:07.670Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"R1 = (3 * cl0.size / (4 * np.pi))**(1./3) * 1 / 2048\n",
|
|
"R2 = (3 * clx.size / (4 * np.pi))**(1./3) * 1 / 2048\n",
|
|
"d = np.linalg.norm([np.mean(cl0[p]) - np.mean(clx[p]) for p in ('x', 'y', 'z')])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d2b0dcd5",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-23T20:52:54.565480Z",
|
|
"start_time": "2023-01-23T20:52:54.534775Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "64634315",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "9cfcc924",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2023-01-23T19:00:54.795153Z",
|
|
"start_time": "2023-01-23T19:00:54.447475Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a747a632",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"start_time": "2023-01-26T09:49:07.686Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"box = cat[0].box\n",
|
|
"maverage = box.box2solarmass(clumps0[2][0][\"M\"][0])\n",
|
|
"cell = box.box2mpc(1/2048)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "27bb5c36",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"start_time": "2023-01-26T09:49:07.686Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"n_sim = 0\n",
|
|
"import numpy\n",
|
|
"\n",
|
|
"R = (3 * cat.cats[n_sim][\"npart\"] / (4 * numpy.pi))**(1./3) * 1 / 2048\n",
|
|
"R = cat.cats[n_sim].box.box2mpc(R)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "03a7825f",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"start_time": "2023-01-26T09:49:07.687Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# dlogm = [None] * len(indxs)\n",
|
|
"# for k in trange(len(indxs)):\n",
|
|
"# dlogm[k] = np.abs(np.log10(cat[0][\"totpartmass\"][k]) - np.log10(cat[1][\"totpartmass\"][indxs[k]]))\n",
|
|
"# dlogm = np.asanyarray(dlogm)\n",
|
|
"\n",
|
|
"normdist = [None] * len(indxs)\n",
|
|
"masses = [None] * len(indxs)\n",
|
|
"for k in trange(len(indxs)):\n",
|
|
" normdist[k] = dist0[k] / ((3 * cat[0][\"totpartmass\"][k] / (4 * np.pi * maverage))**(1/3) * cell)\n",
|
|
" masses[k] = np.log10(np.ones(indxs[k].size) * cat[0][\"totpartmass\"][k])\n",
|
|
" \n",
|
|
"normdist = np.asanyarray(normdist)\n",
|
|
"masses = np.asanyarray(masses)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e0330ca5",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"start_time": "2023-01-26T09:49:07.688Z"
|
|
},
|
|
"scrolled": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.figure()\n",
|
|
"\n",
|
|
"# plt.scatter(np.concatenate(normdist), np.concatenate(overlap), c=np.concatenate(masses), s=4)\n",
|
|
"\n",
|
|
"plt.scatter(np.concatenate(normdist), np.concatenate(masses), c=np.concatenate(overlap), s=4)\n",
|
|
"\n",
|
|
"\n",
|
|
"plt.colorbar()\n",
|
|
"# plt.xlabel(r\"$z = 0$ normalised separation by $\\hat{R}$\")\n",
|
|
"# plt.xlabel(r\"Absolute difference in total mass [dex]\")\n",
|
|
"# plt.xscale(\"log\")\n",
|
|
"# plt.ylabel(r\"$\\mathcal{O}$\")\n",
|
|
"plt.xscale(\"log\")\n",
|
|
"plt.tight_layout()\n",
|
|
"# plt.savefig(\"../plots/another_view.png\", dpi=450)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "de23a8a1",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a6b5e4f8",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "43bc17db",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b4df25af",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "0d25a16d",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"start_time": "2023-01-26T09:49:07.690Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"cl0 = clumps0[[cl[1] for cl in clumps0].index(cat[0][k][\"index\"])][0]\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"clx = clumpsx[[cl[1] for cl in clumpsx].index(cat[1][\"index\"][indxs[k]][n])][0]"
|
|
]
|
|
},
|
|
{
|
|
"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": "3.8.0"
|
|
},
|
|
"vscode": {
|
|
"interpreter": {
|
|
"hash": "f29d02a8350410abc2a9fb79641689d10bf7ab64afc03ec87ca3cf6ed2daa499"
|
|
}
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|