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root-io.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Simple ROOT application\n",
"\n",
"\n",
"A `PyROOT` based application with dynamic plotting"
]
},
{
"cell_type": "code",
"execution_count": null,
"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\", \"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",
" 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": {
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\" width=\"900\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"%reload_ext autoreload\n",
"%autoreload 2\n",
"%matplotlib notebook\n",
"\n",
"import os\n",
"import matplotlib.pyplot as plt\n",
"import ROOT\n",
"from ROOT import TChain, TSelector, TTree\n",
"\n",
"\n",
"# make image bigger.\n",
"plt.rcParams['figure.dpi'] = 150\n",
"\n",
"def refreshHistogram(ax, color, title, data):\n",
" \n",
" ax.cla()\n",
" ax.set_yscale('log')\n",
" ax.set_title(title)\n",
" ax.grid(True)\n",
" ax.hist(data, density=False, bins=20, linewidth=1, color=color, edgecolor='black', alpha=0.7, rwidth=0.85)\n",
"\n",
"fig = plt.figure()\n",
"ax0 = fig.add_subplot(221)\n",
"ax1 = fig.add_subplot(222)\n",
"ax2 = fig.add_subplot(223)\n",
"ax3 = fig.add_subplot(224)\n",
"\n",
"plt.ion()\n",
"fig.show()\n",
"\n",
"hist_p0 = []\n",
"hist_p1 = []\n",
"hist_p2 = []\n",
"hist_p3 = []\n",
"\n",
"chain = TChain(\"tauPair\")\n",
"\n",
"for f in os.listdir(\"/data\"):\n",
" chain.AddFile(\"/data/\" + f)\n",
" \n",
"n = 0\n",
"for event in chain:\n",
"\n",
" hist_p0.append(event.vpho_pi0_PIDe)\n",
" hist_p1.append(event.vpho_pi0_P4cms[0])\n",
" hist_p2.append(event.vpho_pi0_TruthP4[0])\n",
" hist_p3.append(event.vpho_pi0_chiProb)\n",
"\n",
" if n % 10000 is 0:\n",
" refreshHistogram(ax0, 'g', 'vpho pi0 PIDe', hist_p0)\n",
" refreshHistogram(ax1, 'deeppink', 'vpho pi0 P4cms', hist_p1)\n",
" refreshHistogram(ax2, 'dodgerblue', 'vpho pi0 TruthP4', hist_p2)\n",
" refreshHistogram(ax3, 'orange', 'vpho pi0 chi Prob', hist_p3)\n",
"\n",
" plt.tight_layout()\n",
" fig.canvas.draw()\n",
" n = n + 1\n",
"\n"
]
},
{
"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": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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