csiborgtools/scripts/dist.ipynb
2022-10-20 23:37:33 +01:00

203 lines
251 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2022-10-20T13:24:14.926839Z",
"start_time": "2022-10-20T13:24:14.426124Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"import healpy as hp\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt\n",
"# Local imports\n",
"try:\n",
" import csiborgtools\n",
"except ModuleNotFoundError:\n",
" import sys\n",
" sys.path.append(\"../\")\n",
" import csiborgtools\n",
"import utils\n",
"\n",
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {
"ExecuteTime": {
"end_time": "2022-10-20T14:17:46.639414Z",
"start_time": "2022-10-20T14:17:44.896731Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|█████████████████████████████████████████████| 1/1 [00:00<00:00, 3.30it/s]\n"
]
}
],
"source": [
"obs = utils.load_2mpp()\n",
"\n",
"\n",
"cols = [\"ra\", \"dec\", \"mass_cl\", \"dist\"]\n",
"\n",
"mmains = utils.load_mmains(1)\n",
"mmains = csiborgtools.utils.list_to_ndarray(mmains, cols)\n",
"sim = mmains[0, ...]\n",
"sim = csiborgtools.utils.array_to_structured(sim ,cols)\n",
"\n",
"planck = utils.load_planck2015()"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {
"ExecuteTime": {
"end_time": "2022-10-20T14:21:43.591434Z",
"start_time": "2022-10-20T14:21:43.437257Z"
}
},
"outputs": [
{
"data": {
"application/javascript": "/* Put everything inside the global mpl namespace */\n/* global mpl */\nwindow.mpl = {};\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n\nmpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_figure_label = function (fig, msg) {\n // Updates the figure title.\n fig.header.textContent = msg['label'];\n};\n\nmpl.figure.prototype.handle_cursor = function (fig, msg) {\n fig.rubberband_canvas.style.cursor = msg['cursor'];\n};\n\nmpl.figure.prototype.handle_message = function (fig, msg) {\n fig.message.textContent = msg['message'];\n};\n\nmpl.figure.prototype.handle_draw = function (fig, _msg) {\n // Request the server to send over a new figure.\n fig.send_draw_message();\n};\n\nmpl.figure.prototype.handle_image_mode = function (fig, msg) {\n fig.image_mode = msg['mode'];\n};\n\nmpl.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\nmpl.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\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function (_event, _name) {\n // Handle any extra behaviour associated with a key event\n};\n\nmpl.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\nmpl.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\nmpl.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\nvar _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\nmpl.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\nmpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n\nmpl.default_extension = \"png\";/* global mpl */\n\nvar 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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function (fig, msg) {\n fig.send_message('closing', msg);\n // fig.ws.close()\n};\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function (el) {\n el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n};\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function (fig, _msg) {\n fig.ondownload(fig, null);\n};\n\nmpl.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.\nif (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": [
"dx = 20\n",
"dmin = 125\n",
"dmax = dmin + dx\n",
"\n",
"mask_obs = (dmin < obs[\"CDIST_CMB\"]) & (obs[\"CDIST_CMB\"] < dmax)\n",
"mask_sim = (dmin < sim[\"dist\"]) & (sim[\"dist\"] < dmax) & (sim[\"mass_cl\"] > 1e12)\n",
"\n",
"width = 6.4\n",
"plt.figure(figsize=(width, width*0.75))\n",
"plt.scatter(obs[\"RA\"][mask_obs], obs[\"DEC\"][mask_obs], s=1.5, label=\"2M++\")\n",
"plt.scatter(sim[\"ra\"][mask_sim] , sim[\"dec\"][mask_sim], s=1.5, label=\"CSiBORG\")\n",
"plt.scatter(planck[\"RA\"], planck[\"DEC\"], label=\"Planck SZ clusters < 214 MPc\", c=\"red\")\n",
"\n",
"\n",
"plt.legend()\n",
"plt.xlabel(\"RA\")\n",
"plt.ylabel(\"dec\")\n",
"plt.tight_layout()\n",
"# plt.savefig(\"../plots/2mpp_overlap.png\", dpi=450)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2022-10-18T12:35:27.120104Z",
"start_time": "2022-10-18T12:35:27.039527Z"
}
},
"outputs": [],
"source": [
"fpath = \"/mnt/zfsusers/rstiskalek/csiborgtools/data/HFI_PCCS_SZ-union_R2.08.fits\"\n",
"obs = csiborgtools.io.read_planck2015(fpath, cosmo, 214)\n",
"\n",
"\n",
"c1 = SkyCoord(ra=obs[\"RA\"]*u.degree, dec=obs[\"DEC\"]*u.degree, distance=obs[\"COMDIST\"]*u.Mpc)\n",
"c2 = SkyCoord(ra=sim[\"ra\"]*u.degree, dec=sim[\"dec\"]*u.degree, distance=sim[\"dist\"]*u.Mpc)\n",
"\n",
"sep, indxs = csiborgtools.match.brute_spatial_separation(c1, c2, N=100, angular=False, verbose=True, )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"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": "48b586a1ee27fc2e7b130d2436dca8c87c36333659e2ed3c8e31ccbf57230401"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}