d7dee2e579
Use 2.5.0a2 (git hash 471041a2) to run the examples. Update some formatting in comments and docstrings. Move imports to the top of Notebooks. Set the matplotlib magic before importing matplotlib. Fix deprecation warnings from Pandas about argmax and set_value.
920 lines
192 KiB
Text
920 lines
192 KiB
Text
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Flame Temperature\n",
|
|
"\n",
|
|
"This example demonstrates calculation of the adiabatic flame temperature for a methane/air mixture, comparing calculations which assume either complete or incomplete combustion."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"%matplotlib notebook\n",
|
|
"import cantera as ct\n",
|
|
"import numpy as np\n",
|
|
"import matplotlib.pyplot as plt"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Complete Combustion\n",
|
|
"\n",
|
|
"The stoichiometric equation for complete combustion of a lean methane/air mixture ($\\phi < 1$) is:\n",
|
|
"\n",
|
|
"$$\\mathrm{\\phi CH_4 + 2(O_2 + 3.76 N_2) \\rightarrow \\phi CO_2 + 2\\phi H_2O + 2 (1-\\phi) O_2 + 7.52 N_2}$$\n",
|
|
"\n",
|
|
"For a rich mixture ($\\phi > 1$), this becomes:\n",
|
|
"\n",
|
|
"$$\\mathrm{\\phi CH_4 + 2(O_2 + 3.76 N_2) \\rightarrow CO_2 + 2 H_2O + (\\phi - 1) CH_4 + 7.52 N_2}$$\n",
|
|
"\n",
|
|
"To find the flame temperature resulting from these reactions using Cantera, we create a gas object containing only the species in the above stoichiometric equations, and then use the `equilibrate()` function to find the resulting mixture composition and temperature, taking advantage of the fact that equilibrium will strongly favor conversion of the fuel molecule."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Get all of the Species objects defined in the GRI 3.0 mechanism\n",
|
|
"species = {S.name: S for S in ct.Species.listFromFile('gri30.cti')}\n",
|
|
"\n",
|
|
"# Create an IdealGas object with species representing complete combustion\n",
|
|
"complete_species = [species[S] for S in ('CH4','O2','N2','CO2','H2O')]\n",
|
|
"gas1 = ct.Solution(thermo='IdealGas', species=complete_species)\n",
|
|
"\n",
|
|
"phi = np.linspace(0.5, 2.0, 100)\n",
|
|
"T_complete = np.zeros(phi.shape)\n",
|
|
"for i in range(len(phi)):\n",
|
|
" gas1.TP = 300, ct.one_atm\n",
|
|
" gas1.set_equivalence_ratio(phi[i], 'CH4', 'O2:1, N2:3.76')\n",
|
|
" gas1.equilibrate('HP')\n",
|
|
" T_complete[i] = gas1.T "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Incomplete Combustion\n",
|
|
"\n",
|
|
"In the case of incomplete combustion, the resulting mixture composition is not known in advance, but must be found by calculating the equilibrium composition at constant enthalpy and temperature:\n",
|
|
"\n",
|
|
"$$\\mathrm{\\phi CH_4 + 2(O_2 + 3.76 N_2) \\rightarrow ? CO_2 + ? CO + ? H_2 + ? H_2O + ? O_2 + 7.52 N_2 + minor\\ species}$$\n",
|
|
"\n",
|
|
"Now, we use a gas phase object containing all 53 species defined in the GRI 3.0 mechanism, and compute the equilibrium composition as a function of equivalence ratio."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Create an IdealGas object including incomplete combustion species\n",
|
|
"gas2 = ct.Solution(thermo='IdealGas', species=species.values())\n",
|
|
"T_incomplete = np.zeros(phi.shape)\n",
|
|
"for i in range(len(phi)):\n",
|
|
" gas2.TP = 300, ct.one_atm\n",
|
|
" gas2.set_equivalence_ratio(phi[i], 'CH4', 'O2:1, N2:3.76')\n",
|
|
" gas2.equilibrate('HP')\n",
|
|
" T_incomplete[i] = gas2.T"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"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, fig.canvas.height);\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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",
|
|
" event.shiftKey = false;\n",
|
|
" // Send a \"J\" for go to next cell\n",
|
|
" event.which = 74;\n",
|
|
" event.keyCode = 74;\n",
|
|
" manager.command_mode();\n",
|
|
" manager.handle_keydown(event);\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": {
|
|
"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": [
|
|
"plt.plot(phi, T_complete, label='complete combustion', lw=2)\n",
|
|
"plt.plot(phi, T_incomplete, label='incomplete combustion', lw=2)\n",
|
|
"plt.grid(True)\n",
|
|
"plt.xlabel('Equivalence ratio, $\\phi$')\n",
|
|
"plt.ylabel('Temperature [K]');"
|
|
]
|
|
}
|
|
],
|
|
"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": "3.7.2"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 1
|
|
}
|