diff --git a/README.md b/README.md index ed1b315..71dc96b 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,10 @@ Modeling lab-data with Duffing-equations. ## Resources +#### Hysteresis + + * [Article deducting analytical expression for frequency range of hysteresis](http://aero.tamu.edu/sites/default/files/faculty/kalmarnagy/Forced%20harmonic%20vibration%20of%20a%20Duffing%20oscillator%20with%20linear%20viscous%20damping.pdf) + #### Duffing * [Duffing oscillator](http://www.scholarpedia.org/article/Duffing_oscillator) diff --git a/doc/Lifshitz, Cross - 2008 - Nonlinear Dynamics of Nanomechanical and Micromechanical Resonators.pdf b/doc/Lifshitz, Cross - 2008 - Nonlinear Dynamics of Nanomechanical and Micromechanical Resonators.pdf new file mode 100644 index 0000000..95cbba3 Binary files /dev/null and b/doc/Lifshitz, Cross - 2008 - Nonlinear Dynamics of Nanomechanical and Micromechanical Resonators.pdf differ diff --git a/doc/Tu, Lin, Cheng - 2015 - Continuous hysteresis model using Duffing-like equation.pdf b/doc/Tu, Lin, Cheng - 2015 - Continuous hysteresis model using Duffing-like equation.pdf new file mode 100644 index 0000000..88f6d46 Binary files /dev/null and b/doc/Tu, Lin, Cheng - 2015 - Continuous hysteresis model using Duffing-like equation.pdf differ diff --git a/duffing-estimation.ipynb b/duffing-estimation.ipynb index e9ccd6a..2bc4f69 100644 --- a/duffing-estimation.ipynb +++ b/duffing-estimation.ipynb @@ -150,11 +150,11 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ - "def plot_std_freqscan(xy_data):\n", + "def plot_std_freqscan(xy_data, sim_xy_data=None):\n", " linewidth = 0.6\n", " fig, (ax11, ax12) = plt.subplots(\n", " nrows=1,\n", @@ -171,6 +171,13 @@ " np.std(xy_data['x'][rows, :], axis=1),\n", " linewidth=linewidth\n", " )\n", + " if sim_xy_data is not None:\n", + " ax11.errorbar(\n", + " sim_xy_data['f'][rows,0],\n", + " np.mean(sim_xy_data['x'][rows, :], axis=1),\n", + " np.std(sim_xy_data['x'][rows, :], axis=1),\n", + " linewidth=linewidth\n", + " )\n", " ax11.axvline(x=xy_data['XResfFreq'][0,0], linestyle='--', color='red', linewidth=0.8)\n", " ax11.axvline(x=xy_data['YResfFreq'][0,0], linestyle='--', color='red', linewidth=0.8)\n", " ax11.set_xlabel(r'$f$')\n", @@ -181,6 +188,13 @@ " np.std(xy_data['y'][rows, :], axis=1),\n", " linewidth=linewidth\n", " )\n", + " if sim_xy_data is not None:\n", + " ax12.errorbar(\n", + " sim_xy_data['f'][rows,0],\n", + " np.mean(sim_xy_data['y'][rows, :], axis=1),\n", + " np.std(sim_xy_data['y'][rows, :], axis=1),\n", + " linewidth=linewidth\n", + " )\n", " ax12.axvline(x=xy_data['XResfFreq'][0,0], linestyle='--', color='red', linewidth=0.8)\n", " ax12.axvline(x=xy_data['YResfFreq'][0,0], linestyle='--', color='red', linewidth=0.8)\n", " ax12.set_xlabel(r'$f$')\n", @@ -2662,7 +2676,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -3483,7 +3497,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -3529,19 +3543,23 @@ " xs, ys = get_pointmap(gamma, alpha, beta, delta, zs, fs)\n", " plt.ion()\n", " xs, ys = clip_pointmap(xs, ys)\n", - " return resample_pointmap(xs, ys, n)\n", + " xs, ys = resample_pointmap(xs, ys, n)\n", + " return xs, ys - np.mean(ys)\n", "\n", "def xy_data_frequency_response(xy_data):\n", - " return (\n", + " z, x, y = (\n", " xy_data['f'][:,0],\n", " np.max(xy_data['x'], axis=1),\n", " np.max(xy_data['y'], axis=1)\n", - " )" + " )\n", + " x = x - np.mean(x)\n", + " y = y - np.mean(y)\n", + " return z, x, y" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 18, "metadata": { "scrolled": false }, @@ -4329,7 +4347,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -5121,7 +5139,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -5927,7 +5945,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -5939,23 +5957,23 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 34, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "f_resonance = 7.2e3\n", - "f_resonance = 7.7e3\n", - "omega_resonance = 2*np.pi*f_resonance\n", + " f_resonance = 7.2e3\n", + " #f_resonance = 8.1e3\n", + " omega_resonance = 2*np.pi*f_resonance\n", "\n", - "gamma = 1e7\n", - "alpha = omega_resonance**2\n", - "beta = 8e8\n", - "delta = 350\n", + " gamma = 1e7\n", + " alpha = omega_resonance**2\n", + " beta = 8e8\n", + " delta = 350\n", "\n", "zs, fs = np.meshgrid(\n", " np.linspace(0, 1, 1000),\n", @@ -5966,7 +5984,7 @@ "plt.figure()\n", "G = right(gamma, alpha, beta, delta, zs, fs)\n", "plt.contour(fs, zs, (zs-G), [0])\n", - "plt.xlabel(\"$\\omega$\")\n", + "plt.xlabel(\"$f$\")\n", "plt.ylabel(\"$z$\")\n", "\n", "# Pointmap extracted, clipped and resampled\n", @@ -6115,7 +6133,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -6196,8 +6214,10 @@ " m2 = 1\n", "\n", " # Fetch resonnance frequencies from data\n", - " f_r1 = xy_data['XResfFreq']/t_scale\n", - " f_r2 = xy_data['YResfFreq']/t_scale\n", + " #f_r1 = xy_data['XResfFreq']/t_scale\n", + " #f_r2 = xy_data['YResfFreq']/t_scale\n", + " f_r1 = 7.2e3\n", + " f_r2 = 7.7e3\n", " omega_r1 = 2*np.pi*f_r1\n", " omega_r2 = 2*np.pi*f_r2\n", " #omega_01 = omega_r1/(np.sqrt(1-2*zeta1**2))\n", @@ -6206,8 +6226,8 @@ " # Compute parameters from identities\n", " #c1 = 2*zeta1*omega_01\n", " #c2 = 2*zeta2*omega_02\n", - " c1 = 200\n", - " c2 = 200\n", + " c1 = 350\n", + " c2 = 350\n", " c3 = gc(c1, c2)\n", " k1 = omega_r1**2\n", " k2 = omega_r2**2\n", @@ -6215,8 +6235,8 @@ " #a1 = f1(k1, k2)\n", " #a2 = f2(k1, k2)\n", " #a3 = ga(k1, k2)\n", - " a1 = 1e8\n", - " a2 = 1e8\n", + " a1 = 8e8\n", + " a2 = 8e8\n", " a3 = 0\n", "\n", " p = (\n", @@ -6267,11 +6287,2436 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": { "scrolled": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Read data, experiment 0\n", + "Variables (rows x observations): ('x', 'y', 's', 'f', 'v', 't', 'XResAmp', 'XResfFreq', 'YResAmp', 'YResfFreq')\n", + "Resonnance frequencies: (7600, 8100)\n", + "Resonnance amplitudes: (1.03, 1.10)\n", + "T = 55.78\n", + "t in [0.00, 55.78]\n", + "f in [0.0, 10000.0]\n", + "x shape: 101 x 100\n", + "y shape: 101 x 100\n", + "Parameters:\n", + "Omega_r 1 = 45238.934\n", + "Omega_r 2 = 48380.527\n", + "c1 = 350.000\n", + "c2 = 350.000\n", + "c3 = 0.000\n", + "k1 = 2046561168.610\n", + "k2 = 2340675379.762\n", + "k3 = 0.000\n", + "a1 = 800000000.000\n", + "a2 = 800000000.000\n", + "a3 = 0.000\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "23f2db9b4a0b45228693e6de8ac590c8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(IntProgress(value=0, max=19), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "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. 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')\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 = $('');\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 = $('');\n", + " nav_element.append(status_bar);\n", + " this.message = status_bar[0];\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = $('
');\n", + " var 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= 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": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "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 = $('
');\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", + " '
');\n", + " var titletext = $(\n", + " '
');\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 = $('
');\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 = $('');\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 = $('');\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 = $('
')\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 = $('');\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 = $('');\n", + " nav_element.append(status_bar);\n", + " this.message = status_bar[0];\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = $('
');\n", + " var 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= 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": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_std_freqscan(xy_data, sim_xy_data=xyhat_data)" + ] + }, { "cell_type": "markdown", "metadata": {},