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Created August 27, 2020 15:44
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Visualization of polytopes in Python.
name: poly_vis
channels:
- conda-forge
dependencies:
- python>3.6
- numpy
- scipy
- matplotlib
- pyqt>=5.9
- vtk>=8
- jupyter
- ipywidgets
- ipyevents
- pyvista
- itkwidgets
- mayavi
- pip
- pip:
- meshio
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-0.002736202 0.245579525 0.070685299
0.006667771 0.245532434 0.065599418
0.005473502 0.245579525 0.066146935
-0.019732562 0.245579525 -0.058118839
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"from scipy.spatial import ConvexHull \n",
"import matplotlib.pyplot as plt\n",
"from mpl_toolkits.mplot3d import Axes3D\n",
"import meshio"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib notebook"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def set_axes_equal(ax, scaling=0.6):\n",
" \"\"\"Make axes of 3D plot have equal scale.\n",
"\n",
" Make axes of 3D plot have equal scale so that spheres\n",
" appear as spheres, cubes as cubes, etc.. This is one\n",
" possible solution to Matplotlib's ax.set_aspect('equal')\n",
" and ax.axis('equal') not working for 3D.\n",
"\n",
" Input\n",
" ax: a matplotlib axis, e.g., as output from plt.gca().\n",
" \"\"\"\n",
" x_limits = ax.get_xlim3d()\n",
" y_limits = ax.get_ylim3d()\n",
" z_limits = ax.get_zlim3d()\n",
"\n",
" x_range = abs(x_limits[1] - x_limits[0])\n",
" x_middle = np.mean(x_limits)\n",
" y_range = abs(y_limits[1] - y_limits[0])\n",
" y_middle = np.mean(y_limits)\n",
" z_range = abs(z_limits[1] - z_limits[0])\n",
" z_middle = np.mean(z_limits)\n",
"\n",
" # The plot bounding box is a sphere in the sense of the infinity\n",
" # norm, hence I call half the max range the plot radius.\n",
" plot_radius = scaling * 0.5 * max([x_range, y_range, z_range])\n",
"\n",
" ax.set_xlim3d([x_middle - plot_radius, x_middle + plot_radius])\n",
" ax.set_ylim3d([y_middle - plot_radius, y_middle + plot_radius])\n",
" ax.set_zlim3d([z_middle - plot_radius, z_middle + plot_radius])"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"nodes = np.loadtxt(\"Nodes.txt\")\n",
"x, y, z = nodes.T"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"conv = ConvexHull(nodes)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\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('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",
"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 = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(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 (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\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 = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\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",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\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",
"\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",
"\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]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = 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.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",
" /* 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",
" evt.data.type = \"image/png\";\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",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://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",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\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",
" * http://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",
" 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",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\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",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" 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",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";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.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",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\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.get(0);\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",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\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) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('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",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\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",
"\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('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(111, projection='3d')\n",
"ax.plot_trisurf(x, y, z, triangles=conv.simplices, antialiased=False,\n",
" cmap=\"magma\", linewidth=0.1, edgecolor=\"black\", alpha=0.8)\n",
"set_axes_equal(ax)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"mesh = meshio.Mesh(points=nodes, cells={\"triangle\": conv.simplices})\n",
"meshio.write(\"polytope.vtk\", mesh)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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