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"end_time": "2018-06-29T12:19:37.010079Z",
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"start_time": "2018-06-29T12:19:36.575782Z"
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"<script>\n",
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"code_show=true; \n",
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"function code_toggle() {\n",
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" if (code_show){\n",
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" code_show = !code_show\n",
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"} \n",
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"$( document ).ready(code_toggle);\n",
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"</script>\n",
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" <a href=\"javascript:code_toggle()\"><font size=\"6\">Show/Hide code</font></a>."
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"text/plain": [
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"<IPython.core.display.HTML object>"
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"metadata": {},
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"output_type": "execute_result"
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],
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"source": [
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"%matplotlib notebook\n",
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"import sys\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import pandas as pds\n",
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"from glob import glob\n",
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"from IPython.display import display\n",
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"from dateutil import parser\n",
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"from IPython.display import HTML,Markdown,Math\n",
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"from IPython.display import display\n",
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"from lfrcompliance.test_engine.testcontext import *\n",
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"from lfrcompliance.test_engine.result_loader import *\n",
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"from lfrcompliance.tcpackets.constants import *\n",
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"import multiprocessing.dummy\n",
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"from dateutil import parser\n",
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"import gc\n",
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"\n",
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"HTML('''<script>\n",
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"code_show=true; \n",
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"function code_toggle() {\n",
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" if (code_show){\n",
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" $('div.input').hide();\n",
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" } else {\n",
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"} \n",
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"$( document ).ready(code_toggle);\n",
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"</script>\n",
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" <a href=\"javascript:code_toggle()\"><font size=\"6\">Show/Hide code</font></a>.''')"
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]
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2018-06-29T12:19:40.297058Z",
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"start_time": "2018-06-29T12:19:40.273101Z"
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"outputs": [],
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"source": [
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"def load_temperatures(file, names):\n",
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" return pds.read_csv(file, sep='\\t', index_col=0,parse_dates=True, infer_datetime_format=True, skiprows=1,names=names)[[\"air\",\"PCB\",\"socket\"]]\n",
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"\n",
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"def plot_temperatures(file, names):\n",
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" load_temperatures(file, names).plot(figsize=(14,6))\n",
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" plt.show()\n",
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" \n",
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" \n",
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"def load_packets_time(sumfile,logfile,abstime=None):\n",
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" with open(sumfile,\"r\") as file:\n",
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" lines=file.readlines()\n",
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" packets=[{\"type\":el[0],\"Seconds\":el[1].split()[-1]} for el in zip(lines[5::20],lines[23::20])]\n",
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" HK=[ el for el in packets if el['type'].count(\"TM_LFR_HK\") ]\n",
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" SWF0=[ el for el in packets if el['type'].count(\"TM_LFR_SCIENCE_NORMAL_SWF_F0\") ][0::7]\n",
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" SWF1=[ el for el in packets if el['type'].count(\"TM_LFR_SCIENCE_NORMAL_SWF_F1\") ][0::7]\n",
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" SWF2=[ el for el in packets if el['type'].count(\"TM_LFR_SCIENCE_NORMAL_SWF_F2\") ][0::7]\n",
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" with open(logfile) as log:\n",
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" line = log.readline()\n",
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" date=line.split()[:3]\n",
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" time=(line.split()[3]).split(\":\")\n",
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" date=[int(field) for field in date]\n",
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" time=[int(field) for field in time]\n",
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" first_packet_time = datetime.datetime(year=date[0],month=date[1],day=date[2],hour=time[0],minute=time[1],second=time[2],microsecond=time[3]*1000)\n",
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" first_packet_type = line.split()[4]\n",
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" first_packet_seconds = min([ float(HK[0]['Seconds']), float(SWF0[0]['Seconds']), float(SWF1[0]['Seconds']), float(SWF2[0]['Seconds']) ])\n",
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" HK=[ dict(packet,Time=first_packet_time- datetime.timedelta(seconds = first_packet_seconds - float(packet['Seconds'])) ) for packet in HK ]\n",
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" SWF0=[ dict(packet,Time=first_packet_time- datetime.timedelta(seconds = first_packet_seconds - float(packet['Seconds'])) ) for packet in SWF0 ]\n",
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" SWF1=[ dict(packet,Time=first_packet_time- datetime.timedelta(seconds = first_packet_seconds - float(packet['Seconds'])) ) for packet in SWF1 ]\n",
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" SWF2=[ dict(packet,Time=first_packet_time- datetime.timedelta(seconds = first_packet_seconds - float(packet['Seconds'])) ) for packet in SWF2 ]\n",
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" return {\"HK\":HK,\"SWF0\":SWF0,\"SWF1\":SWF1,\"SWF2\":SWF2}\n",
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" \n",
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" \n",
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"def get_temperature_at(temperatues,time):\n",
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" return temperatues.iloc[temperatues.index.get_loc(time,method='nearest')]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Temperature measurements"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2018-06-29T12:19:41.428995Z",
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"start_time": "2018-06-29T12:19:41.003520Z"
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},
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"scrolled": false
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},
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"outputs": [
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{
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"data": {
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"application/javascript": [
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"/* Put everything inside the global mpl namespace */\n",
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"window.mpl = {};\n",
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"\n",
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"\n",
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"mpl.get_websocket_type = function() {\n",
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" if (typeof(WebSocket) !== 'undefined') {\n",
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" return WebSocket;\n",
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" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
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" return MozWebSocket;\n",
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" } else {\n",
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" alert('Your browser does not have WebSocket support.' +\n",
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" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
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" 'Firefox 4 and 5 are also supported but you ' +\n",
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" 'have to enable WebSockets in about:config.');\n",
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" };\n",
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"}\n",
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"\n",
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"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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" this.id = figure_id;\n",
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"\n",
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" this.ws = websocket;\n",
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"\n",
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" this.supports_binary = (this.ws.binaryType != undefined);\n",
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"\n",
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" if (!this.supports_binary) {\n",
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" var warnings = document.getElementById(\"mpl-warnings\");\n",
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" if (warnings) {\n",
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" warnings.style.display = 'block';\n",
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" warnings.textContent = (\n",
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" \"This browser does not support binary websocket messages. \" +\n",
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" \"Performance may be slow.\");\n",
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" }\n",
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" }\n",
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"\n",
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" this.imageObj = new Image();\n",
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"\n",
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" this.context = undefined;\n",
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" this.message = undefined;\n",
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" this.canvas = undefined;\n",
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" this.rubberband_canvas = undefined;\n",
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" this.rubberband_context = undefined;\n",
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" this.format_dropdown = undefined;\n",
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"\n",
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" this.image_mode = 'full';\n",
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"\n",
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" this.root = $('<div/>');\n",
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" this._root_extra_style(this.root)\n",
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" this.root.attr('style', 'display: inline-block');\n",
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"\n",
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" $(parent_element).append(this.root);\n",
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"\n",
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" this._init_header(this);\n",
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" this._init_canvas(this);\n",
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" this._init_toolbar(this);\n",
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"\n",
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" var fig = this;\n",
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" this.waiting = false;\n",
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" this.ws.onopen = function () {\n",
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" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
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" fig.send_message(\"send_image_mode\", {});\n",
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" if (mpl.ratio != 1) {\n",
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" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
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" }\n",
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" fig.send_message(\"refresh\", {});\n",
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"\n",
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" this.imageObj.onload = function() {\n",
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" if (fig.image_mode == 'full') {\n",
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" // Full images could contain transparency (where diff images\n",
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" // almost always do), so we need to clear the canvas so that\n",
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" // there is no ghosting.\n",
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" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
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" }\n",
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" fig.context.drawImage(fig.imageObj, 0, 0);\n",
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" };\n",
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"\n",
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" this.imageObj.onunload = function() {\n",
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" fig.ws.close();\n",
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" }\n",
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"\n",
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" this.ws.onmessage = this._make_on_message_function(this);\n",
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"\n",
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" this.ondownload = ondownload;\n",
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"}\n",
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"\n",
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"mpl.figure.prototype._init_header = function() {\n",
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" var titlebar = $(\n",
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" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
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" 'ui-helper-clearfix\"/>');\n",
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" var titletext = $(\n",
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" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
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" 'text-align: center; padding: 3px;\"/>');\n",
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" titlebar.append(titletext)\n",
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" this.root.append(titlebar);\n",
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" this.header = titletext[0];\n",
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"}\n",
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"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
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"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
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"\n",
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"}\n",
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"\n",
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"mpl.figure.prototype._init_canvas = function() {\n",
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" var fig = this;\n",
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"\n",
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" var canvas_div = $('<div/>');\n",
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" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
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"\n",
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" function canvas_keyboard_event(event) {\n",
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" return fig.key_event(event, event['data']);\n",
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261
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" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
|
|
|
|
262
|
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
|
|
|
|
263
|
" this.canvas_div = canvas_div\n",
|
|
|
|
264
|
" this._canvas_extra_style(canvas_div)\n",
|
|
|
|
265
|
" this.root.append(canvas_div);\n",
|
|
|
|
266
|
"\n",
|
|
|
|
267
|
" var canvas = $('<canvas/>');\n",
|
|
|
|
268
|
" canvas.addClass('mpl-canvas');\n",
|
|
|
|
269
|
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
|
|
|
|
270
|
"\n",
|
|
|
|
271
|
" this.canvas = canvas[0];\n",
|
|
|
|
272
|
" this.context = canvas[0].getContext(\"2d\");\n",
|
|
|
|
273
|
"\n",
|
|
|
|
274
|
" var backingStore = this.context.backingStorePixelRatio ||\n",
|
|
|
|
275
|
"\tthis.context.webkitBackingStorePixelRatio ||\n",
|
|
|
|
276
|
"\tthis.context.mozBackingStorePixelRatio ||\n",
|
|
|
|
277
|
"\tthis.context.msBackingStorePixelRatio ||\n",
|
|
|
|
278
|
"\tthis.context.oBackingStorePixelRatio ||\n",
|
|
|
|
279
|
"\tthis.context.backingStorePixelRatio || 1;\n",
|
|
|
|
280
|
"\n",
|
|
|
|
281
|
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
|
|
|
|
282
|
"\n",
|
|
|
|
283
|
" var rubberband = $('<canvas/>');\n",
|
|
|
|
284
|
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
|
|
|
|
285
|
"\n",
|
|
|
|
286
|
" var pass_mouse_events = true;\n",
|
|
|
|
287
|
"\n",
|
|
|
|
288
|
" canvas_div.resizable({\n",
|
|
|
|
289
|
" start: function(event, ui) {\n",
|
|
|
|
290
|
" pass_mouse_events = false;\n",
|
|
|
|
291
|
" },\n",
|
|
|
|
292
|
" resize: function(event, ui) {\n",
|
|
|
|
293
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
|
|
294
|
" },\n",
|
|
|
|
295
|
" stop: function(event, ui) {\n",
|
|
|
|
296
|
" pass_mouse_events = true;\n",
|
|
|
|
297
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
|
|
298
|
" },\n",
|
|
|
|
299
|
" });\n",
|
|
|
|
300
|
"\n",
|
|
|
|
301
|
" function mouse_event_fn(event) {\n",
|
|
|
|
302
|
" if (pass_mouse_events)\n",
|
|
|
|
303
|
" return fig.mouse_event(event, event['data']);\n",
|
|
|
|
304
|
" }\n",
|
|
|
|
305
|
"\n",
|
|
|
|
306
|
" rubberband.mousedown('button_press', mouse_event_fn);\n",
|
|
|
|
307
|
" rubberband.mouseup('button_release', mouse_event_fn);\n",
|
|
|
|
308
|
" // Throttle sequential mouse events to 1 every 20ms.\n",
|
|
|
|
309
|
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
|
|
|
|
310
|
"\n",
|
|
|
|
311
|
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
|
|
|
|
312
|
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
|
|
|
|
313
|
"\n",
|
|
|
|
314
|
" canvas_div.on(\"wheel\", function (event) {\n",
|
|
|
|
315
|
" event = event.originalEvent;\n",
|
|
|
|
316
|
" event['data'] = 'scroll'\n",
|
|
|
|
317
|
" if (event.deltaY < 0) {\n",
|
|
|
|
318
|
" event.step = 1;\n",
|
|
|
|
319
|
" } else {\n",
|
|
|
|
320
|
" event.step = -1;\n",
|
|
|
|
321
|
" }\n",
|
|
|
|
322
|
" mouse_event_fn(event);\n",
|
|
|
|
323
|
" });\n",
|
|
|
|
324
|
"\n",
|
|
|
|
325
|
" canvas_div.append(canvas);\n",
|
|
|
|
326
|
" canvas_div.append(rubberband);\n",
|
|
|
|
327
|
"\n",
|
|
|
|
328
|
" this.rubberband = rubberband;\n",
|
|
|
|
329
|
" this.rubberband_canvas = rubberband[0];\n",
|
|
|
|
330
|
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
|
|
|
|
331
|
" this.rubberband_context.strokeStyle = \"#000000\";\n",
|
|
|
|
332
|
"\n",
|
|
|
|
333
|
" this._resize_canvas = function(width, height) {\n",
|
|
|
|
334
|
" // Keep the size of the canvas, canvas container, and rubber band\n",
|
|
|
|
335
|
" // canvas in synch.\n",
|
|
|
|
336
|
" canvas_div.css('width', width)\n",
|
|
|
|
337
|
" canvas_div.css('height', height)\n",
|
|
|
|
338
|
"\n",
|
|
|
|
339
|
" canvas.attr('width', width * mpl.ratio);\n",
|
|
|
|
340
|
" canvas.attr('height', height * mpl.ratio);\n",
|
|
|
|
341
|
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
|
|
|
|
342
|
"\n",
|
|
|
|
343
|
" rubberband.attr('width', width);\n",
|
|
|
|
344
|
" rubberband.attr('height', height);\n",
|
|
|
|
345
|
" }\n",
|
|
|
|
346
|
"\n",
|
|
|
|
347
|
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
|
|
|
|
348
|
" // upon first draw.\n",
|
|
|
|
349
|
" this._resize_canvas(600, 600);\n",
|
|
|
|
350
|
"\n",
|
|
|
|
351
|
" // Disable right mouse context menu.\n",
|
|
|
|
352
|
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
|
|
|
|
353
|
" return false;\n",
|
|
|
|
354
|
" });\n",
|
|
|
|
355
|
"\n",
|
|
|
|
356
|
" function set_focus () {\n",
|
|
|
|
357
|
" canvas.focus();\n",
|
|
|
|
358
|
" canvas_div.focus();\n",
|
|
|
|
359
|
" }\n",
|
|
|
|
360
|
"\n",
|
|
|
|
361
|
" window.setTimeout(set_focus, 100);\n",
|
|
|
|
362
|
"}\n",
|
|
|
|
363
|
"\n",
|
|
|
|
364
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
|
|
365
|
" var fig = this;\n",
|
|
|
|
366
|
"\n",
|
|
|
|
367
|
" var nav_element = $('<div/>')\n",
|
|
|
|
368
|
" nav_element.attr('style', 'width: 100%');\n",
|
|
|
|
369
|
" this.root.append(nav_element);\n",
|
|
|
|
370
|
"\n",
|
|
|
|
371
|
" // Define a callback function for later on.\n",
|
|
|
|
372
|
" function toolbar_event(event) {\n",
|
|
|
|
373
|
" return fig.toolbar_button_onclick(event['data']);\n",
|
|
|
|
374
|
" }\n",
|
|
|
|
375
|
" function toolbar_mouse_event(event) {\n",
|
|
|
|
376
|
" return fig.toolbar_button_onmouseover(event['data']);\n",
|
|
|
|
377
|
" }\n",
|
|
|
|
378
|
"\n",
|
|
|
|
379
|
" for(var toolbar_ind in mpl.toolbar_items) {\n",
|
|
|
|
380
|
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
|
|
|
|
381
|
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
|
|
|
|
382
|
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
|
|
|
|
383
|
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
|
|
|
|
384
|
"\n",
|
|
|
|
385
|
" if (!name) {\n",
|
|
|
|
386
|
" // put a spacer in here.\n",
|
|
|
|
387
|
" continue;\n",
|
|
|
|
388
|
" }\n",
|
|
|
|
389
|
" var button = $('<button/>');\n",
|
|
|
|
390
|
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
|
|
|
|
391
|
" 'ui-button-icon-only');\n",
|
|
|
|
392
|
" button.attr('role', 'button');\n",
|
|
|
|
393
|
" button.attr('aria-disabled', 'false');\n",
|
|
|
|
394
|
" button.click(method_name, toolbar_event);\n",
|
|
|
|
395
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
|
|
396
|
"\n",
|
|
|
|
397
|
" var icon_img = $('<span/>');\n",
|
|
|
|
398
|
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
|
|
|
|
399
|
" icon_img.addClass(image);\n",
|
|
|
|
400
|
" icon_img.addClass('ui-corner-all');\n",
|
|
|
|
401
|
"\n",
|
|
|
|
402
|
" var tooltip_span = $('<span/>');\n",
|
|
|
|
403
|
" tooltip_span.addClass('ui-button-text');\n",
|
|
|
|
404
|
" tooltip_span.html(tooltip);\n",
|
|
|
|
405
|
"\n",
|
|
|
|
406
|
" button.append(icon_img);\n",
|
|
|
|
407
|
" button.append(tooltip_span);\n",
|
|
|
|
408
|
"\n",
|
|
|
|
409
|
" nav_element.append(button);\n",
|
|
|
|
410
|
" }\n",
|
|
|
|
411
|
"\n",
|
|
|
|
412
|
" var fmt_picker_span = $('<span/>');\n",
|
|
|
|
413
|
"\n",
|
|
|
|
414
|
" var fmt_picker = $('<select/>');\n",
|
|
|
|
415
|
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
|
|
|
|
416
|
" fmt_picker_span.append(fmt_picker);\n",
|
|
|
|
417
|
" nav_element.append(fmt_picker_span);\n",
|
|
|
|
418
|
" this.format_dropdown = fmt_picker[0];\n",
|
|
|
|
419
|
"\n",
|
|
|
|
420
|
" for (var ind in mpl.extensions) {\n",
|
|
|
|
421
|
" var fmt = mpl.extensions[ind];\n",
|
|
|
|
422
|
" var option = $(\n",
|
|
|
|
423
|
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
|
|
|
|
424
|
" fmt_picker.append(option)\n",
|
|
|
|
425
|
" }\n",
|
|
|
|
426
|
"\n",
|
|
|
|
427
|
" // Add hover states to the ui-buttons\n",
|
|
|
|
428
|
" $( \".ui-button\" ).hover(\n",
|
|
|
|
429
|
" function() { $(this).addClass(\"ui-state-hover\");},\n",
|
|
|
|
430
|
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
|
|
|
|
431
|
" );\n",
|
|
|
|
432
|
"\n",
|
|
|
|
433
|
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
|
|
|
|
434
|
" nav_element.append(status_bar);\n",
|
|
|
|
435
|
" this.message = status_bar[0];\n",
|
|
|
|
436
|
"}\n",
|
|
|
|
437
|
"\n",
|
|
|
|
438
|
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
|
|
|
|
439
|
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
|
|
|
|
440
|
" // which will in turn request a refresh of the image.\n",
|
|
|
|
441
|
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
|
|
|
|
442
|
"}\n",
|
|
|
|
443
|
"\n",
|
|
|
|
444
|
"mpl.figure.prototype.send_message = function(type, properties) {\n",
|
|
|
|
445
|
" properties['type'] = type;\n",
|
|
|
|
446
|
" properties['figure_id'] = this.id;\n",
|
|
|
|
447
|
" this.ws.send(JSON.stringify(properties));\n",
|
|
|
|
448
|
"}\n",
|
|
|
|
449
|
"\n",
|
|
|
|
450
|
"mpl.figure.prototype.send_draw_message = function() {\n",
|
|
|
|
451
|
" if (!this.waiting) {\n",
|
|
|
|
452
|
" this.waiting = true;\n",
|
|
|
|
453
|
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
|
|
|
|
454
|
" }\n",
|
|
|
|
455
|
"}\n",
|
|
|
|
456
|
"\n",
|
|
|
|
457
|
"\n",
|
|
|
|
458
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
|
|
459
|
" var format_dropdown = fig.format_dropdown;\n",
|
|
|
|
460
|
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
|
|
|
|
461
|
" fig.ondownload(fig, format);\n",
|
|
|
|
462
|
"}\n",
|
|
|
|
463
|
"\n",
|
|
|
|
464
|
"\n",
|
|
|
|
465
|
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
|
|
|
|
466
|
" var size = msg['size'];\n",
|
|
|
|
467
|
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
|
|
|
|
468
|
" fig._resize_canvas(size[0], size[1]);\n",
|
|
|
|
469
|
" fig.send_message(\"refresh\", {});\n",
|
|
|
|
470
|
" };\n",
|
|
|
|
471
|
"}\n",
|
|
|
|
472
|
"\n",
|
|
|
|
473
|
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
|
|
|
|
474
|
" var x0 = msg['x0'] / mpl.ratio;\n",
|
|
|
|
475
|
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
|
|
|
|
476
|
" var x1 = msg['x1'] / mpl.ratio;\n",
|
|
|
|
477
|
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
|
|
|
|
478
|
" x0 = Math.floor(x0) + 0.5;\n",
|
|
|
|
479
|
" y0 = Math.floor(y0) + 0.5;\n",
|
|
|
|
480
|
" x1 = Math.floor(x1) + 0.5;\n",
|
|
|
|
481
|
" y1 = Math.floor(y1) + 0.5;\n",
|
|
|
|
482
|
" var min_x = Math.min(x0, x1);\n",
|
|
|
|
483
|
" var min_y = Math.min(y0, y1);\n",
|
|
|
|
484
|
" var width = Math.abs(x1 - x0);\n",
|
|
|
|
485
|
" var height = Math.abs(y1 - y0);\n",
|
|
|
|
486
|
"\n",
|
|
|
|
487
|
" fig.rubberband_context.clearRect(\n",
|
|
|
|
488
|
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
|
|
|
|
489
|
"\n",
|
|
|
|
490
|
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
|
|
|
|
491
|
"}\n",
|
|
|
|
492
|
"\n",
|
|
|
|
493
|
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
|
|
|
|
494
|
" // Updates the figure title.\n",
|
|
|
|
495
|
" fig.header.textContent = msg['label'];\n",
|
|
|
|
496
|
"}\n",
|
|
|
|
497
|
"\n",
|
|
|
|
498
|
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
|
|
|
|
499
|
" var cursor = msg['cursor'];\n",
|
|
|
|
500
|
" switch(cursor)\n",
|
|
|
|
501
|
" {\n",
|
|
|
|
502
|
" case 0:\n",
|
|
|
|
503
|
" cursor = 'pointer';\n",
|
|
|
|
504
|
" break;\n",
|
|
|
|
505
|
" case 1:\n",
|
|
|
|
506
|
" cursor = 'default';\n",
|
|
|
|
507
|
" break;\n",
|
|
|
|
508
|
" case 2:\n",
|
|
|
|
509
|
" cursor = 'crosshair';\n",
|
|
|
|
510
|
" break;\n",
|
|
|
|
511
|
" case 3:\n",
|
|
|
|
512
|
" cursor = 'move';\n",
|
|
|
|
513
|
" break;\n",
|
|
|
|
514
|
" }\n",
|
|
|
|
515
|
" fig.rubberband_canvas.style.cursor = cursor;\n",
|
|
|
|
516
|
"}\n",
|
|
|
|
517
|
"\n",
|
|
|
|
518
|
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
|
|
|
|
519
|
" fig.message.textContent = msg['message'];\n",
|
|
|
|
520
|
"}\n",
|
|
|
|
521
|
"\n",
|
|
|
|
522
|
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
|
|
|
|
523
|
" // Request the server to send over a new figure.\n",
|
|
|
|
524
|
" fig.send_draw_message();\n",
|
|
|
|
525
|
"}\n",
|
|
|
|
526
|
"\n",
|
|
|
|
527
|
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
|
|
|
|
528
|
" fig.image_mode = msg['mode'];\n",
|
|
|
|
529
|
"}\n",
|
|
|
|
530
|
"\n",
|
|
|
|
531
|
"mpl.figure.prototype.updated_canvas_event = function() {\n",
|
|
|
|
532
|
" // Called whenever the canvas gets updated.\n",
|
|
|
|
533
|
" this.send_message(\"ack\", {});\n",
|
|
|
|
534
|
"}\n",
|
|
|
|
535
|
"\n",
|
|
|
|
536
|
"// A function to construct a web socket function for onmessage handling.\n",
|
|
|
|
537
|
"// Called in the figure constructor.\n",
|
|
|
|
538
|
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
|
|
|
|
539
|
" return function socket_on_message(evt) {\n",
|
|
|
|
540
|
" if (evt.data instanceof Blob) {\n",
|
|
|
|
541
|
" /* FIXME: We get \"Resource interpreted as Image but\n",
|
|
|
|
542
|
" * transferred with MIME type text/plain:\" errors on\n",
|
|
|
|
543
|
" * Chrome. But how to set the MIME type? It doesn't seem\n",
|
|
|
|
544
|
" * to be part of the websocket stream */\n",
|
|
|
|
545
|
" evt.data.type = \"image/png\";\n",
|
|
|
|
546
|
"\n",
|
|
|
|
547
|
" /* Free the memory for the previous frames */\n",
|
|
|
|
548
|
" if (fig.imageObj.src) {\n",
|
|
|
|
549
|
" (window.URL || window.webkitURL).revokeObjectURL(\n",
|
|
|
|
550
|
" fig.imageObj.src);\n",
|
|
|
|
551
|
" }\n",
|
|
|
|
552
|
"\n",
|
|
|
|
553
|
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
|
|
|
|
554
|
" evt.data);\n",
|
|
|
|
555
|
" fig.updated_canvas_event();\n",
|
|
|
|
556
|
" fig.waiting = false;\n",
|
|
|
|
557
|
" return;\n",
|
|
|
|
558
|
" }\n",
|
|
|
|
559
|
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
|
|
|
|
560
|
" fig.imageObj.src = evt.data;\n",
|
|
|
|
561
|
" fig.updated_canvas_event();\n",
|
|
|
|
562
|
" fig.waiting = false;\n",
|
|
|
|
563
|
" return;\n",
|
|
|
|
564
|
" }\n",
|
|
|
|
565
|
"\n",
|
|
|
|
566
|
" var msg = JSON.parse(evt.data);\n",
|
|
|
|
567
|
" var msg_type = msg['type'];\n",
|
|
|
|
568
|
"\n",
|
|
|
|
569
|
" // Call the \"handle_{type}\" callback, which takes\n",
|
|
|
|
570
|
" // the figure and JSON message as its only arguments.\n",
|
|
|
|
571
|
" try {\n",
|
|
|
|
572
|
" var callback = fig[\"handle_\" + msg_type];\n",
|
|
|
|
573
|
" } catch (e) {\n",
|
|
|
|
574
|
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
|
|
|
|
575
|
" return;\n",
|
|
|
|
576
|
" }\n",
|
|
|
|
577
|
"\n",
|
|
|
|
578
|
" if (callback) {\n",
|
|
|
|
579
|
" try {\n",
|
|
|
|
580
|
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
|
|
|
|
581
|
" callback(fig, msg);\n",
|
|
|
|
582
|
" } catch (e) {\n",
|
|
|
|
583
|
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
|
|
|
|
584
|
" }\n",
|
|
|
|
585
|
" }\n",
|
|
|
|
586
|
" };\n",
|
|
|
|
587
|
"}\n",
|
|
|
|
588
|
"\n",
|
|
|
|
589
|
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
|
|
|
|
590
|
"mpl.findpos = function(e) {\n",
|
|
|
|
591
|
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
|
|
|
|
592
|
" var targ;\n",
|
|
|
|
593
|
" if (!e)\n",
|
|
|
|
594
|
" e = window.event;\n",
|
|
|
|
595
|
" if (e.target)\n",
|
|
|
|
596
|
" targ = e.target;\n",
|
|
|
|
597
|
" else if (e.srcElement)\n",
|
|
|
|
598
|
" targ = e.srcElement;\n",
|
|
|
|
599
|
" if (targ.nodeType == 3) // defeat Safari bug\n",
|
|
|
|
600
|
" targ = targ.parentNode;\n",
|
|
|
|
601
|
"\n",
|
|
|
|
602
|
" // jQuery normalizes the pageX and pageY\n",
|
|
|
|
603
|
" // pageX,Y are the mouse positions relative to the document\n",
|
|
|
|
604
|
" // offset() returns the position of the element relative to the document\n",
|
|
|
|
605
|
" var x = e.pageX - $(targ).offset().left;\n",
|
|
|
|
606
|
" var y = e.pageY - $(targ).offset().top;\n",
|
|
|
|
607
|
"\n",
|
|
|
|
608
|
" return {\"x\": x, \"y\": y};\n",
|
|
|
|
609
|
"};\n",
|
|
|
|
610
|
"\n",
|
|
|
|
611
|
"/*\n",
|
|
|
|
612
|
" * return a copy of an object with only non-object keys\n",
|
|
|
|
613
|
" * we need this to avoid circular references\n",
|
|
|
|
614
|
" * http://stackoverflow.com/a/24161582/3208463\n",
|
|
|
|
615
|
" */\n",
|
|
|
|
616
|
"function simpleKeys (original) {\n",
|
|
|
|
617
|
" return Object.keys(original).reduce(function (obj, key) {\n",
|
|
|
|
618
|
" if (typeof original[key] !== 'object')\n",
|
|
|
|
619
|
" obj[key] = original[key]\n",
|
|
|
|
620
|
" return obj;\n",
|
|
|
|
621
|
" }, {});\n",
|
|
|
|
622
|
"}\n",
|
|
|
|
623
|
"\n",
|
|
|
|
624
|
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
|
|
|
|
625
|
" var canvas_pos = mpl.findpos(event)\n",
|
|
|
|
626
|
"\n",
|
|
|
|
627
|
" if (name === 'button_press')\n",
|
|
|
|
628
|
" {\n",
|
|
|
|
629
|
" this.canvas.focus();\n",
|
|
|
|
630
|
" this.canvas_div.focus();\n",
|
|
|
|
631
|
" }\n",
|
|
|
|
632
|
"\n",
|
|
|
|
633
|
" var x = canvas_pos.x * mpl.ratio;\n",
|
|
|
|
634
|
" var y = canvas_pos.y * mpl.ratio;\n",
|
|
|
|
635
|
"\n",
|
|
|
|
636
|
" this.send_message(name, {x: x, y: y, button: event.button,\n",
|
|
|
|
637
|
" step: event.step,\n",
|
|
|
|
638
|
" guiEvent: simpleKeys(event)});\n",
|
|
|
|
639
|
"\n",
|
|
|
|
640
|
" /* This prevents the web browser from automatically changing to\n",
|
|
|
|
641
|
" * the text insertion cursor when the button is pressed. We want\n",
|
|
|
|
642
|
" * to control all of the cursor setting manually through the\n",
|
|
|
|
643
|
" * 'cursor' event from matplotlib */\n",
|
|
|
|
644
|
" event.preventDefault();\n",
|
|
|
|
645
|
" return false;\n",
|
|
|
|
646
|
"}\n",
|
|
|
|
647
|
"\n",
|
|
|
|
648
|
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
|
|
|
|
649
|
" // Handle any extra behaviour associated with a key event\n",
|
|
|
|
650
|
"}\n",
|
|
|
|
651
|
"\n",
|
|
|
|
652
|
"mpl.figure.prototype.key_event = function(event, name) {\n",
|
|
|
|
653
|
"\n",
|
|
|
|
654
|
" // Prevent repeat events\n",
|
|
|
|
655
|
" if (name == 'key_press')\n",
|
|
|
|
656
|
" {\n",
|
|
|
|
657
|
" if (event.which === this._key)\n",
|
|
|
|
658
|
" return;\n",
|
|
|
|
659
|
" else\n",
|
|
|
|
660
|
" this._key = event.which;\n",
|
|
|
|
661
|
" }\n",
|
|
|
|
662
|
" if (name == 'key_release')\n",
|
|
|
|
663
|
" this._key = null;\n",
|
|
|
|
664
|
"\n",
|
|
|
|
665
|
" var value = '';\n",
|
|
|
|
666
|
" if (event.ctrlKey && event.which != 17)\n",
|
|
|
|
667
|
" value += \"ctrl+\";\n",
|
|
|
|
668
|
" if (event.altKey && event.which != 18)\n",
|
|
|
|
669
|
" value += \"alt+\";\n",
|
|
|
|
670
|
" if (event.shiftKey && event.which != 16)\n",
|
|
|
|
671
|
" value += \"shift+\";\n",
|
|
|
|
672
|
"\n",
|
|
|
|
673
|
" value += 'k';\n",
|
|
|
|
674
|
" value += event.which.toString();\n",
|
|
|
|
675
|
"\n",
|
|
|
|
676
|
" this._key_event_extra(event, name);\n",
|
|
|
|
677
|
"\n",
|
|
|
|
678
|
" this.send_message(name, {key: value,\n",
|
|
|
|
679
|
" guiEvent: simpleKeys(event)});\n",
|
|
|
|
680
|
" return false;\n",
|
|
|
|
681
|
"}\n",
|
|
|
|
682
|
"\n",
|
|
|
|
683
|
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
|
|
|
|
684
|
" if (name == 'download') {\n",
|
|
|
|
685
|
" this.handle_save(this, null);\n",
|
|
|
|
686
|
" } else {\n",
|
|
|
|
687
|
" this.send_message(\"toolbar_button\", {name: name});\n",
|
|
|
|
688
|
" }\n",
|
|
|
|
689
|
"};\n",
|
|
|
|
690
|
"\n",
|
|
|
|
691
|
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
|
|
|
|
692
|
" this.message.textContent = tooltip;\n",
|
|
|
|
693
|
"};\n",
|
|
|
|
694
|
"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",
|
|
|
|
695
|
"\n",
|
|
|
|
696
|
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
|
|
|
|
697
|
"\n",
|
|
|
|
698
|
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
|
|
|
|
699
|
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
|
|
|
|
700
|
" // object with the appropriate methods. Currently this is a non binary\n",
|
|
|
|
701
|
" // socket, so there is still some room for performance tuning.\n",
|
|
|
|
702
|
" var ws = {};\n",
|
|
|
|
703
|
"\n",
|
|
|
|
704
|
" ws.close = function() {\n",
|
|
|
|
705
|
" comm.close()\n",
|
|
|
|
706
|
" };\n",
|
|
|
|
707
|
" ws.send = function(m) {\n",
|
|
|
|
708
|
" //console.log('sending', m);\n",
|
|
|
|
709
|
" comm.send(m);\n",
|
|
|
|
710
|
" };\n",
|
|
|
|
711
|
" // Register the callback with on_msg.\n",
|
|
|
|
712
|
" comm.on_msg(function(msg) {\n",
|
|
|
|
713
|
" //console.log('receiving', msg['content']['data'], msg);\n",
|
|
|
|
714
|
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
|
|
|
|
715
|
" ws.onmessage(msg['content']['data'])\n",
|
|
|
|
716
|
" });\n",
|
|
|
|
717
|
" return ws;\n",
|
|
|
|
718
|
"}\n",
|
|
|
|
719
|
"\n",
|
|
|
|
720
|
"mpl.mpl_figure_comm = function(comm, msg) {\n",
|
|
|
|
721
|
" // This is the function which gets called when the mpl process\n",
|
|
|
|
722
|
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
|
|
|
|
723
|
"\n",
|
|
|
|
724
|
" var id = msg.content.data.id;\n",
|
|
|
|
725
|
" // Get hold of the div created by the display call when the Comm\n",
|
|
|
|
726
|
" // socket was opened in Python.\n",
|
|
|
|
727
|
" var element = $(\"#\" + id);\n",
|
|
|
|
728
|
" var ws_proxy = comm_websocket_adapter(comm)\n",
|
|
|
|
729
|
"\n",
|
|
|
|
730
|
" function ondownload(figure, format) {\n",
|
|
|
|
731
|
" window.open(figure.imageObj.src);\n",
|
|
|
|
732
|
" }\n",
|
|
|
|
733
|
"\n",
|
|
|
|
734
|
" var fig = new mpl.figure(id, ws_proxy,\n",
|
|
|
|
735
|
" ondownload,\n",
|
|
|
|
736
|
" element.get(0));\n",
|
|
|
|
737
|
"\n",
|
|
|
|
738
|
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
|
|
|
|
739
|
" // web socket which is closed, not our websocket->open comm proxy.\n",
|
|
|
|
740
|
" ws_proxy.onopen();\n",
|
|
|
|
741
|
"\n",
|
|
|
|
742
|
" fig.parent_element = element.get(0);\n",
|
|
|
|
743
|
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
|
|
|
|
744
|
" if (!fig.cell_info) {\n",
|
|
|
|
745
|
" console.error(\"Failed to find cell for figure\", id, fig);\n",
|
|
|
|
746
|
" return;\n",
|
|
|
|
747
|
" }\n",
|
|
|
|
748
|
"\n",
|
|
|
|
749
|
" var output_index = fig.cell_info[2]\n",
|
|
|
|
750
|
" var cell = fig.cell_info[0];\n",
|
|
|
|
751
|
"\n",
|
|
|
|
752
|
"};\n",
|
|
|
|
753
|
"\n",
|
|
|
|
754
|
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
|
|
|
|
755
|
" var width = fig.canvas.width/mpl.ratio\n",
|
|
|
|
756
|
" fig.root.unbind('remove')\n",
|
|
|
|
757
|
"\n",
|
|
|
|
758
|
" // Update the output cell to use the data from the current canvas.\n",
|
|
|
|
759
|
" fig.push_to_output();\n",
|
|
|
|
760
|
" var dataURL = fig.canvas.toDataURL();\n",
|
|
|
|
761
|
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
|
|
|
|
762
|
" // the notebook keyboard shortcuts fail.\n",
|
|
|
|
763
|
" IPython.keyboard_manager.enable()\n",
|
|
|
|
764
|
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
|
|
|
|
765
|
" fig.close_ws(fig, msg);\n",
|
|
|
|
766
|
"}\n",
|
|
|
|
767
|
"\n",
|
|
|
|
768
|
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
|
|
|
|
769
|
" fig.send_message('closing', msg);\n",
|
|
|
|
770
|
" // fig.ws.close()\n",
|
|
|
|
771
|
"}\n",
|
|
|
|
772
|
"\n",
|
|
|
|
773
|
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
|
|
|
|
774
|
" // Turn the data on the canvas into data in the output cell.\n",
|
|
|
|
775
|
" var width = this.canvas.width/mpl.ratio\n",
|
|
|
|
776
|
" var dataURL = this.canvas.toDataURL();\n",
|
|
|
|
777
|
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
|
|
|
|
778
|
"}\n",
|
|
|
|
779
|
"\n",
|
|
|
|
780
|
"mpl.figure.prototype.updated_canvas_event = function() {\n",
|
|
|
|
781
|
" // Tell IPython that the notebook contents must change.\n",
|
|
|
|
782
|
" IPython.notebook.set_dirty(true);\n",
|
|
|
|
783
|
" this.send_message(\"ack\", {});\n",
|
|
|
|
784
|
" var fig = this;\n",
|
|
|
|
785
|
" // Wait a second, then push the new image to the DOM so\n",
|
|
|
|
786
|
" // that it is saved nicely (might be nice to debounce this).\n",
|
|
|
|
787
|
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
|
|
|
|
788
|
"}\n",
|
|
|
|
789
|
"\n",
|
|
|
|
790
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
|
|
791
|
" var fig = this;\n",
|
|
|
|
792
|
"\n",
|
|
|
|
793
|
" var nav_element = $('<div/>')\n",
|
|
|
|
794
|
" nav_element.attr('style', 'width: 100%');\n",
|
|
|
|
795
|
" this.root.append(nav_element);\n",
|
|
|
|
796
|
"\n",
|
|
|
|
797
|
" // Define a callback function for later on.\n",
|
|
|
|
798
|
" function toolbar_event(event) {\n",
|
|
|
|
799
|
" return fig.toolbar_button_onclick(event['data']);\n",
|
|
|
|
800
|
" }\n",
|
|
|
|
801
|
" function toolbar_mouse_event(event) {\n",
|
|
|
|
802
|
" return fig.toolbar_button_onmouseover(event['data']);\n",
|
|
|
|
803
|
" }\n",
|
|
|
|
804
|
"\n",
|
|
|
|
805
|
" for(var toolbar_ind in mpl.toolbar_items){\n",
|
|
|
|
806
|
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
|
|
|
|
807
|
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
|
|
|
|
808
|
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
|
|
|
|
809
|
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
|
|
|
|
810
|
"\n",
|
|
|
|
811
|
" if (!name) { continue; };\n",
|
|
|
|
812
|
"\n",
|
|
|
|
813
|
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
|
|
|
|
814
|
" button.click(method_name, toolbar_event);\n",
|
|
|
|
815
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
|
|
816
|
" nav_element.append(button);\n",
|
|
|
|
817
|
" }\n",
|
|
|
|
818
|
"\n",
|
|
|
|
819
|
" // Add the status bar.\n",
|
|
|
|
820
|
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
|
|
|
|
821
|
" nav_element.append(status_bar);\n",
|
|
|
|
822
|
" this.message = status_bar[0];\n",
|
|
|
|
823
|
"\n",
|
|
|
|
824
|
" // Add the close button to the window.\n",
|
|
|
|
825
|
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
|
|
|
|
826
|
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
|
|
|
|
827
|
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
|
|
|
|
828
|
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
|
|
|
|
829
|
" buttongrp.append(button);\n",
|
|
|
|
830
|
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
|
|
|
|
831
|
" titlebar.prepend(buttongrp);\n",
|
|
|
|
832
|
"}\n",
|
|
|
|
833
|
"\n",
|
|
|
|
834
|
"mpl.figure.prototype._root_extra_style = function(el){\n",
|
|
|
|
835
|
" var fig = this\n",
|
|
|
|
836
|
" el.on(\"remove\", function(){\n",
|
|
|
|
837
|
"\tfig.close_ws(fig, {});\n",
|
|
|
|
838
|
" });\n",
|
|
|
|
839
|
"}\n",
|
|
|
|
840
|
"\n",
|
|
|
|
841
|
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
|
|
|
|
842
|
" // this is important to make the div 'focusable\n",
|
|
|
|
843
|
" el.attr('tabindex', 0)\n",
|
|
|
|
844
|
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
|
|
|
|
845
|
" // off when our div gets focus\n",
|
|
|
|
846
|
"\n",
|
|
|
|
847
|
" // location in version 3\n",
|
|
|
|
848
|
" if (IPython.notebook.keyboard_manager) {\n",
|
|
|
|
849
|
" IPython.notebook.keyboard_manager.register_events(el);\n",
|
|
|
|
850
|
" }\n",
|
|
|
|
851
|
" else {\n",
|
|
|
|
852
|
" // location in version 2\n",
|
|
|
|
853
|
" IPython.keyboard_manager.register_events(el);\n",
|
|
|
|
854
|
" }\n",
|
|
|
|
855
|
"\n",
|
|
|
|
856
|
"}\n",
|
|
|
|
857
|
"\n",
|
|
|
|
858
|
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
|
|
|
|
859
|
" var manager = IPython.notebook.keyboard_manager;\n",
|
|
|
|
860
|
" if (!manager)\n",
|
|
|
|
861
|
" manager = IPython.keyboard_manager;\n",
|
|
|
|
862
|
"\n",
|
|
|
|
863
|
" // Check for shift+enter\n",
|
|
|
|
864
|
" if (event.shiftKey && event.which == 13) {\n",
|
|
|
|
865
|
" this.canvas_div.blur();\n",
|
|
|
|
866
|
" event.shiftKey = false;\n",
|
|
|
|
867
|
" // Send a \"J\" for go to next cell\n",
|
|
|
|
868
|
" event.which = 74;\n",
|
|
|
|
869
|
" event.keyCode = 74;\n",
|
|
|
|
870
|
" manager.command_mode();\n",
|
|
|
|
871
|
" manager.handle_keydown(event);\n",
|
|
|
|
872
|
" }\n",
|
|
|
|
873
|
"}\n",
|
|
|
|
874
|
"\n",
|
|
|
|
875
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
|
|
876
|
" fig.ondownload(fig, null);\n",
|
|
|
|
877
|
"}\n",
|
|
|
|
878
|
"\n",
|
|
|
|
879
|
"\n",
|
|
|
|
880
|
"mpl.find_output_cell = function(html_output) {\n",
|
|
|
|
881
|
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
|
|
|
|
882
|
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
|
|
|
|
883
|
" // IPython event is triggered only after the cells have been serialised, which for\n",
|
|
|
|
884
|
" // our purposes (turning an active figure into a static one), is too late.\n",
|
|
|
|
885
|
" var cells = IPython.notebook.get_cells();\n",
|
|
|
|
886
|
" var ncells = cells.length;\n",
|
|
|
|
887
|
" for (var i=0; i<ncells; i++) {\n",
|
|
|
|
888
|
" var cell = cells[i];\n",
|
|
|
|
889
|
" if (cell.cell_type === 'code'){\n",
|
|
|
|
890
|
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
|
|
|
|
891
|
" var data = cell.output_area.outputs[j];\n",
|
|
|
|
892
|
" if (data.data) {\n",
|
|
|
|
893
|
" // IPython >= 3 moved mimebundle to data attribute of output\n",
|
|
|
|
894
|
" data = data.data;\n",
|
|
|
|
895
|
" }\n",
|
|
|
|
896
|
" if (data['text/html'] == html_output) {\n",
|
|
|
|
897
|
" return [cell, data, j];\n",
|
|
|
|
898
|
" }\n",
|
|
|
|
899
|
" }\n",
|
|
|
|
900
|
" }\n",
|
|
|
|
901
|
" }\n",
|
|
|
|
902
|
"}\n",
|
|
|
|
903
|
"\n",
|
|
|
|
904
|
"// Register the function which deals with the matplotlib target/channel.\n",
|
|
|
|
905
|
"// The kernel may be null if the page has been refreshed.\n",
|
|
|
|
906
|
"if (IPython.notebook.kernel != null) {\n",
|
|
|
|
907
|
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
|
|
|
|
908
|
"}\n"
|
|
|
|
909
|
],
|
|
|
|
910
|
"text/plain": [
|
|
|
|
911
|
"<IPython.core.display.Javascript object>"
|
|
|
|
912
|
]
|
|
|
|
913
|
},
|
|
|
|
914
|
"metadata": {},
|
|
|
|
915
|
"output_type": "display_data"
|
|
|
|
916
|
},
|
|
|
|
917
|
{
|
|
|
|
918
|
"data": {
|
|
|
|
919
|
"text/html": [
|
|
|
|
920
|
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\" width=\"1400\">"
|
|
|
|
921
|
],
|
|
|
|
922
|
"text/plain": [
|
|
|
|
923
|
"<IPython.core.display.HTML object>"
|
|
|
|
924
|
]
|
|
|
|
925
|
},
|
|
|
|
926
|
"metadata": {},
|
|
|
|
927
|
"output_type": "display_data"
|
|
|
|
928
|
},
|
|
|
|
929
|
{
|
|
|
|
930
|
"data": {
|
|
|
|
931
|
"application/javascript": [
|
|
|
|
932
|
"/* Put everything inside the global mpl namespace */\n",
|
|
|
|
933
|
"window.mpl = {};\n",
|
|
|
|
934
|
"\n",
|
|
|
|
935
|
"\n",
|
|
|
|
936
|
"mpl.get_websocket_type = function() {\n",
|
|
|
|
937
|
" if (typeof(WebSocket) !== 'undefined') {\n",
|
|
|
|
938
|
" return WebSocket;\n",
|
|
|
|
939
|
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
|
|
|
|
940
|
" return MozWebSocket;\n",
|
|
|
|
941
|
" } else {\n",
|
|
|
|
942
|
" alert('Your browser does not have WebSocket support.' +\n",
|
|
|
|
943
|
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
|
|
|
|
944
|
" 'Firefox 4 and 5 are also supported but you ' +\n",
|
|
|
|
945
|
" 'have to enable WebSockets in about:config.');\n",
|
|
|
|
946
|
" };\n",
|
|
|
|
947
|
"}\n",
|
|
|
|
948
|
"\n",
|
|
|
|
949
|
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
|
|
|
|
950
|
" this.id = figure_id;\n",
|
|
|
|
951
|
"\n",
|
|
|
|
952
|
" this.ws = websocket;\n",
|
|
|
|
953
|
"\n",
|
|
|
|
954
|
" this.supports_binary = (this.ws.binaryType != undefined);\n",
|
|
|
|
955
|
"\n",
|
|
|
|
956
|
" if (!this.supports_binary) {\n",
|
|
|
|
957
|
" var warnings = document.getElementById(\"mpl-warnings\");\n",
|
|
|
|
958
|
" if (warnings) {\n",
|
|
|
|
959
|
" warnings.style.display = 'block';\n",
|
|
|
|
960
|
" warnings.textContent = (\n",
|
|
|
|
961
|
" \"This browser does not support binary websocket messages. \" +\n",
|
|
|
|
962
|
" \"Performance may be slow.\");\n",
|
|
|
|
963
|
" }\n",
|
|
|
|
964
|
" }\n",
|
|
|
|
965
|
"\n",
|
|
|
|
966
|
" this.imageObj = new Image();\n",
|
|
|
|
967
|
"\n",
|
|
|
|
968
|
" this.context = undefined;\n",
|
|
|
|
969
|
" this.message = undefined;\n",
|
|
|
|
970
|
" this.canvas = undefined;\n",
|
|
|
|
971
|
" this.rubberband_canvas = undefined;\n",
|
|
|
|
972
|
" this.rubberband_context = undefined;\n",
|
|
|
|
973
|
" this.format_dropdown = undefined;\n",
|
|
|
|
974
|
"\n",
|
|
|
|
975
|
" this.image_mode = 'full';\n",
|
|
|
|
976
|
"\n",
|
|
|
|
977
|
" this.root = $('<div/>');\n",
|
|
|
|
978
|
" this._root_extra_style(this.root)\n",
|
|
|
|
979
|
" this.root.attr('style', 'display: inline-block');\n",
|
|
|
|
980
|
"\n",
|
|
|
|
981
|
" $(parent_element).append(this.root);\n",
|
|
|
|
982
|
"\n",
|
|
|
|
983
|
" this._init_header(this);\n",
|
|
|
|
984
|
" this._init_canvas(this);\n",
|
|
|
|
985
|
" this._init_toolbar(this);\n",
|
|
|
|
986
|
"\n",
|
|
|
|
987
|
" var fig = this;\n",
|
|
|
|
988
|
"\n",
|
|
|
|
989
|
" this.waiting = false;\n",
|
|
|
|
990
|
"\n",
|
|
|
|
991
|
" this.ws.onopen = function () {\n",
|
|
|
|
992
|
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
|
|
|
|
993
|
" fig.send_message(\"send_image_mode\", {});\n",
|
|
|
|
994
|
" if (mpl.ratio != 1) {\n",
|
|
|
|
995
|
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
|
|
|
|
996
|
" }\n",
|
|
|
|
997
|
" fig.send_message(\"refresh\", {});\n",
|
|
|
|
998
|
" }\n",
|
|
|
|
999
|
"\n",
|
|
|
|
1000
|
" this.imageObj.onload = function() {\n",
|
|
|
|
1001
|
" if (fig.image_mode == 'full') {\n",
|
|
|
|
1002
|
" // Full images could contain transparency (where diff images\n",
|
|
|
|
1003
|
" // almost always do), so we need to clear the canvas so that\n",
|
|
|
|
1004
|
" // there is no ghosting.\n",
|
|
|
|
1005
|
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
|
|
|
|
1006
|
" }\n",
|
|
|
|
1007
|
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
|
|
|
|
1008
|
" };\n",
|
|
|
|
1009
|
"\n",
|
|
|
|
1010
|
" this.imageObj.onunload = function() {\n",
|
|
|
|
1011
|
" fig.ws.close();\n",
|
|
|
|
1012
|
" }\n",
|
|
|
|
1013
|
"\n",
|
|
|
|
1014
|
" this.ws.onmessage = this._make_on_message_function(this);\n",
|
|
|
|
1015
|
"\n",
|
|
|
|
1016
|
" this.ondownload = ondownload;\n",
|
|
|
|
1017
|
"}\n",
|
|
|
|
1018
|
"\n",
|
|
|
|
1019
|
"mpl.figure.prototype._init_header = function() {\n",
|
|
|
|
1020
|
" var titlebar = $(\n",
|
|
|
|
1021
|
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
|
|
|
|
1022
|
" 'ui-helper-clearfix\"/>');\n",
|
|
|
|
1023
|
" var titletext = $(\n",
|
|
|
|
1024
|
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
|
|
|
|
1025
|
" 'text-align: center; padding: 3px;\"/>');\n",
|
|
|
|
1026
|
" titlebar.append(titletext)\n",
|
|
|
|
1027
|
" this.root.append(titlebar);\n",
|
|
|
|
1028
|
" this.header = titletext[0];\n",
|
|
|
|
1029
|
"}\n",
|
|
|
|
1030
|
"\n",
|
|
|
|
1031
|
"\n",
|
|
|
|
1032
|
"\n",
|
|
|
|
1033
|
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
|
|
|
|
1034
|
"\n",
|
|
|
|
1035
|
"}\n",
|
|
|
|
1036
|
"\n",
|
|
|
|
1037
|
"\n",
|
|
|
|
1038
|
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
|
|
|
|
1039
|
"\n",
|
|
|
|
1040
|
"}\n",
|
|
|
|
1041
|
"\n",
|
|
|
|
1042
|
"mpl.figure.prototype._init_canvas = function() {\n",
|
|
|
|
1043
|
" var fig = this;\n",
|
|
|
|
1044
|
"\n",
|
|
|
|
1045
|
" var canvas_div = $('<div/>');\n",
|
|
|
|
1046
|
"\n",
|
|
|
|
1047
|
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
|
|
|
|
1048
|
"\n",
|
|
|
|
1049
|
" function canvas_keyboard_event(event) {\n",
|
|
|
|
1050
|
" return fig.key_event(event, event['data']);\n",
|
|
|
|
1051
|
" }\n",
|
|
|
|
1052
|
"\n",
|
|
|
|
1053
|
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
|
|
|
|
1054
|
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
|
|
|
|
1055
|
" this.canvas_div = canvas_div\n",
|
|
|
|
1056
|
" this._canvas_extra_style(canvas_div)\n",
|
|
|
|
1057
|
" this.root.append(canvas_div);\n",
|
|
|
|
1058
|
"\n",
|
|
|
|
1059
|
" var canvas = $('<canvas/>');\n",
|
|
|
|
1060
|
" canvas.addClass('mpl-canvas');\n",
|
|
|
|
1061
|
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
|
|
|
|
1062
|
"\n",
|
|
|
|
1063
|
" this.canvas = canvas[0];\n",
|
|
|
|
1064
|
" this.context = canvas[0].getContext(\"2d\");\n",
|
|
|
|
1065
|
"\n",
|
|
|
|
1066
|
" var backingStore = this.context.backingStorePixelRatio ||\n",
|
|
|
|
1067
|
"\tthis.context.webkitBackingStorePixelRatio ||\n",
|
|
|
|
1068
|
"\tthis.context.mozBackingStorePixelRatio ||\n",
|
|
|
|
1069
|
"\tthis.context.msBackingStorePixelRatio ||\n",
|
|
|
|
1070
|
"\tthis.context.oBackingStorePixelRatio ||\n",
|
|
|
|
1071
|
"\tthis.context.backingStorePixelRatio || 1;\n",
|
|
|
|
1072
|
"\n",
|
|
|
|
1073
|
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
|
|
|
|
1074
|
"\n",
|
|
|
|
1075
|
" var rubberband = $('<canvas/>');\n",
|
|
|
|
1076
|
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
|
|
|
|
1077
|
"\n",
|
|
|
|
1078
|
" var pass_mouse_events = true;\n",
|
|
|
|
1079
|
"\n",
|
|
|
|
1080
|
" canvas_div.resizable({\n",
|
|
|
|
1081
|
" start: function(event, ui) {\n",
|
|
|
|
1082
|
" pass_mouse_events = false;\n",
|
|
|
|
1083
|
" },\n",
|
|
|
|
1084
|
" resize: function(event, ui) {\n",
|
|
|
|
1085
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
|
|
1086
|
" },\n",
|
|
|
|
1087
|
" stop: function(event, ui) {\n",
|
|
|
|
1088
|
" pass_mouse_events = true;\n",
|
|
|
|
1089
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
|
|
1090
|
" },\n",
|
|
|
|
1091
|
" });\n",
|
|
|
|
1092
|
"\n",
|
|
|
|
1093
|
" function mouse_event_fn(event) {\n",
|
|
|
|
1094
|
" if (pass_mouse_events)\n",
|
|
|
|
1095
|
" return fig.mouse_event(event, event['data']);\n",
|
|
|
|
1096
|
" }\n",
|
|
|
|
1097
|
"\n",
|
|
|
|
1098
|
" rubberband.mousedown('button_press', mouse_event_fn);\n",
|
|
|
|
1099
|
" rubberband.mouseup('button_release', mouse_event_fn);\n",
|
|
|
|
1100
|
" // Throttle sequential mouse events to 1 every 20ms.\n",
|
|
|
|
1101
|
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
|
|
|
|
1102
|
"\n",
|
|
|
|
1103
|
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
|
|
|
|
1104
|
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
|
|
|
|
1105
|
"\n",
|
|
|
|
1106
|
" canvas_div.on(\"wheel\", function (event) {\n",
|
|
|
|
1107
|
" event = event.originalEvent;\n",
|
|
|
|
1108
|
" event['data'] = 'scroll'\n",
|
|
|
|
1109
|
" if (event.deltaY < 0) {\n",
|
|
|
|
1110
|
" event.step = 1;\n",
|
|
|
|
1111
|
" } else {\n",
|
|
|
|
1112
|
" event.step = -1;\n",
|
|
|
|
1113
|
" }\n",
|
|
|
|
1114
|
" mouse_event_fn(event);\n",
|
|
|
|
1115
|
" });\n",
|
|
|
|
1116
|
"\n",
|
|
|
|
1117
|
" canvas_div.append(canvas);\n",
|
|
|
|
1118
|
" canvas_div.append(rubberband);\n",
|
|
|
|
1119
|
"\n",
|
|
|
|
1120
|
" this.rubberband = rubberband;\n",
|
|
|
|
1121
|
" this.rubberband_canvas = rubberband[0];\n",
|
|
|
|
1122
|
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
|
|
|
|
1123
|
" this.rubberband_context.strokeStyle = \"#000000\";\n",
|
|
|
|
1124
|
"\n",
|
|
|
|
1125
|
" this._resize_canvas = function(width, height) {\n",
|
|
|
|
1126
|
" // Keep the size of the canvas, canvas container, and rubber band\n",
|
|
|
|
1127
|
" // canvas in synch.\n",
|
|
|
|
1128
|
" canvas_div.css('width', width)\n",
|
|
|
|
1129
|
" canvas_div.css('height', height)\n",
|
|
|
|
1130
|
"\n",
|
|
|
|
1131
|
" canvas.attr('width', width * mpl.ratio);\n",
|
|
|
|
1132
|
" canvas.attr('height', height * mpl.ratio);\n",
|
|
|
|
1133
|
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
|
|
|
|
1134
|
"\n",
|
|
|
|
1135
|
" rubberband.attr('width', width);\n",
|
|
|
|
1136
|
" rubberband.attr('height', height);\n",
|
|
|
|
1137
|
" }\n",
|
|
|
|
1138
|
"\n",
|
|
|
|
1139
|
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
|
|
|
|
1140
|
" // upon first draw.\n",
|
|
|
|
1141
|
" this._resize_canvas(600, 600);\n",
|
|
|
|
1142
|
"\n",
|
|
|
|
1143
|
" // Disable right mouse context menu.\n",
|
|
|
|
1144
|
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
|
|
|
|
1145
|
" return false;\n",
|
|
|
|
1146
|
" });\n",
|
|
|
|
1147
|
"\n",
|
|
|
|
1148
|
" function set_focus () {\n",
|
|
|
|
1149
|
" canvas.focus();\n",
|
|
|
|
1150
|
" canvas_div.focus();\n",
|
|
|
|
1151
|
" }\n",
|
|
|
|
1152
|
"\n",
|
|
|
|
1153
|
" window.setTimeout(set_focus, 100);\n",
|
|
|
|
1154
|
"}\n",
|
|
|
|
1155
|
"\n",
|
|
|
|
1156
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
|
|
1157
|
" var fig = this;\n",
|
|
|
|
1158
|
"\n",
|
|
|
|
1159
|
" var nav_element = $('<div/>')\n",
|
|
|
|
1160
|
" nav_element.attr('style', 'width: 100%');\n",
|
|
|
|
1161
|
" this.root.append(nav_element);\n",
|
|
|
|
1162
|
"\n",
|
|
|
|
1163
|
" // Define a callback function for later on.\n",
|
|
|
|
1164
|
" function toolbar_event(event) {\n",
|
|
|
|
1165
|
" return fig.toolbar_button_onclick(event['data']);\n",
|
|
|
|
1166
|
" }\n",
|
|
|
|
1167
|
" function toolbar_mouse_event(event) {\n",
|
|
|
|
1168
|
" return fig.toolbar_button_onmouseover(event['data']);\n",
|
|
|
|
1169
|
" }\n",
|
|
|
|
1170
|
"\n",
|
|
|
|
1171
|
" for(var toolbar_ind in mpl.toolbar_items) {\n",
|
|
|
|
1172
|
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
|
|
|
|
1173
|
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
|
|
|
|
1174
|
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
|
|
|
|
1175
|
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
|
|
|
|
1176
|
"\n",
|
|
|
|
1177
|
" if (!name) {\n",
|
|
|
|
1178
|
" // put a spacer in here.\n",
|
|
|
|
1179
|
" continue;\n",
|
|
|
|
1180
|
" }\n",
|
|
|
|
1181
|
" var button = $('<button/>');\n",
|
|
|
|
1182
|
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
|
|
|
|
1183
|
" 'ui-button-icon-only');\n",
|
|
|
|
1184
|
" button.attr('role', 'button');\n",
|
|
|
|
1185
|
" button.attr('aria-disabled', 'false');\n",
|
|
|
|
1186
|
" button.click(method_name, toolbar_event);\n",
|
|
|
|
1187
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
|
|
1188
|
"\n",
|
|
|
|
1189
|
" var icon_img = $('<span/>');\n",
|
|
|
|
1190
|
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
|
|
|
|
1191
|
" icon_img.addClass(image);\n",
|
|
|
|
1192
|
" icon_img.addClass('ui-corner-all');\n",
|
|
|
|
1193
|
"\n",
|
|
|
|
1194
|
" var tooltip_span = $('<span/>');\n",
|
|
|
|
1195
|
" tooltip_span.addClass('ui-button-text');\n",
|
|
|
|
1196
|
" tooltip_span.html(tooltip);\n",
|
|
|
|
1197
|
"\n",
|
|
|
|
1198
|
" button.append(icon_img);\n",
|
|
|
|
1199
|
" button.append(tooltip_span);\n",
|
|
|
|
1200
|
"\n",
|
|
|
|
1201
|
" nav_element.append(button);\n",
|
|
|
|
1202
|
" }\n",
|
|
|
|
1203
|
"\n",
|
|
|
|
1204
|
" var fmt_picker_span = $('<span/>');\n",
|
|
|
|
1205
|
"\n",
|
|
|
|
1206
|
" var fmt_picker = $('<select/>');\n",
|
|
|
|
1207
|
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
|
|
|
|
1208
|
" fmt_picker_span.append(fmt_picker);\n",
|
|
|
|
1209
|
" nav_element.append(fmt_picker_span);\n",
|
|
|
|
1210
|
" this.format_dropdown = fmt_picker[0];\n",
|
|
|
|
1211
|
"\n",
|
|
|
|
1212
|
" for (var ind in mpl.extensions) {\n",
|
|
|
|
1213
|
" var fmt = mpl.extensions[ind];\n",
|
|
|
|
1214
|
" var option = $(\n",
|
|
|
|
1215
|
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
|
|
|
|
1216
|
" fmt_picker.append(option)\n",
|
|
|
|
1217
|
" }\n",
|
|
|
|
1218
|
"\n",
|
|
|
|
1219
|
" // Add hover states to the ui-buttons\n",
|
|
|
|
1220
|
" $( \".ui-button\" ).hover(\n",
|
|
|
|
1221
|
" function() { $(this).addClass(\"ui-state-hover\");},\n",
|
|
|
|
1222
|
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
|
|
|
|
1223
|
" );\n",
|
|
|
|
1224
|
"\n",
|
|
|
|
1225
|
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
|
|
|
|
1226
|
" nav_element.append(status_bar);\n",
|
|
|
|
1227
|
" this.message = status_bar[0];\n",
|
|
|
|
1228
|
"}\n",
|
|
|
|
1229
|
"\n",
|
|
|
|
1230
|
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
|
|
|
|
1231
|
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
|
|
|
|
1232
|
" // which will in turn request a refresh of the image.\n",
|
|
|
|
1233
|
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
|
|
|
|
1234
|
"}\n",
|
|
|
|
1235
|
"\n",
|
|
|
|
1236
|
"mpl.figure.prototype.send_message = function(type, properties) {\n",
|
|
|
|
1237
|
" properties['type'] = type;\n",
|
|
|
|
1238
|
" properties['figure_id'] = this.id;\n",
|
|
|
|
1239
|
" this.ws.send(JSON.stringify(properties));\n",
|
|
|
|
1240
|
"}\n",
|
|
|
|
1241
|
"\n",
|
|
|
|
1242
|
"mpl.figure.prototype.send_draw_message = function() {\n",
|
|
|
|
1243
|
" if (!this.waiting) {\n",
|
|
|
|
1244
|
" this.waiting = true;\n",
|
|
|
|
1245
|
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
|
|
|
|
1246
|
" }\n",
|
|
|
|
1247
|
"}\n",
|
|
|
|
1248
|
"\n",
|
|
|
|
1249
|
"\n",
|
|
|
|
1250
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
|
|
1251
|
" var format_dropdown = fig.format_dropdown;\n",
|
|
|
|
1252
|
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
|
|
|
|
1253
|
" fig.ondownload(fig, format);\n",
|
|
|
|
1254
|
"}\n",
|
|
|
|
1255
|
"\n",
|
|
|
|
1256
|
"\n",
|
|
|
|
1257
|
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
|
|
|
|
1258
|
" var size = msg['size'];\n",
|
|
|
|
1259
|
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
|
|
|
|
1260
|
" fig._resize_canvas(size[0], size[1]);\n",
|
|
|
|
1261
|
" fig.send_message(\"refresh\", {});\n",
|
|
|
|
1262
|
" };\n",
|
|
|
|
1263
|
"}\n",
|
|
|
|
1264
|
"\n",
|
|
|
|
1265
|
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
|
|
|
|
1266
|
" var x0 = msg['x0'] / mpl.ratio;\n",
|
|
|
|
1267
|
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
|
|
|
|
1268
|
" var x1 = msg['x1'] / mpl.ratio;\n",
|
|
|
|
1269
|
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
|
|
|
|
1270
|
" x0 = Math.floor(x0) + 0.5;\n",
|
|
|
|
1271
|
" y0 = Math.floor(y0) + 0.5;\n",
|
|
|
|
1272
|
" x1 = Math.floor(x1) + 0.5;\n",
|
|
|
|
1273
|
" y1 = Math.floor(y1) + 0.5;\n",
|
|
|
|
1274
|
" var min_x = Math.min(x0, x1);\n",
|
|
|
|
1275
|
" var min_y = Math.min(y0, y1);\n",
|
|
|
|
1276
|
" var width = Math.abs(x1 - x0);\n",
|
|
|
|
1277
|
" var height = Math.abs(y1 - y0);\n",
|
|
|
|
1278
|
"\n",
|
|
|
|
1279
|
" fig.rubberband_context.clearRect(\n",
|
|
|
|
1280
|
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
|
|
|
|
1281
|
"\n",
|
|
|
|
1282
|
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
|
|
|
|
1283
|
"}\n",
|
|
|
|
1284
|
"\n",
|
|
|
|
1285
|
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
|
|
|
|
1286
|
" // Updates the figure title.\n",
|
|
|
|
1287
|
" fig.header.textContent = msg['label'];\n",
|
|
|
|
1288
|
"}\n",
|
|
|
|
1289
|
"\n",
|
|
|
|
1290
|
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
|
|
|
|
1291
|
" var cursor = msg['cursor'];\n",
|
|
|
|
1292
|
" switch(cursor)\n",
|
|
|
|
1293
|
" {\n",
|
|
|
|
1294
|
" case 0:\n",
|
|
|
|
1295
|
" cursor = 'pointer';\n",
|
|
|
|
1296
|
" break;\n",
|
|
|
|
1297
|
" case 1:\n",
|
|
|
|
1298
|
" cursor = 'default';\n",
|
|
|
|
1299
|
" break;\n",
|
|
|
|
1300
|
" case 2:\n",
|
|
|
|
1301
|
" cursor = 'crosshair';\n",
|
|
|
|
1302
|
" break;\n",
|
|
|
|
1303
|
" case 3:\n",
|
|
|
|
1304
|
" cursor = 'move';\n",
|
|
|
|
1305
|
" break;\n",
|
|
|
|
1306
|
" }\n",
|
|
|
|
1307
|
" fig.rubberband_canvas.style.cursor = cursor;\n",
|
|
|
|
1308
|
"}\n",
|
|
|
|
1309
|
"\n",
|
|
|
|
1310
|
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
|
|
|
|
1311
|
" fig.message.textContent = msg['message'];\n",
|
|
|
|
1312
|
"}\n",
|
|
|
|
1313
|
"\n",
|
|
|
|
1314
|
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
|
|
|
|
1315
|
" // Request the server to send over a new figure.\n",
|
|
|
|
1316
|
" fig.send_draw_message();\n",
|
|
|
|
1317
|
"}\n",
|
|
|
|
1318
|
"\n",
|
|
|
|
1319
|
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
|
|
|
|
1320
|
" fig.image_mode = msg['mode'];\n",
|
|
|
|
1321
|
"}\n",
|
|
|
|
1322
|
"\n",
|
|
|
|
1323
|
"mpl.figure.prototype.updated_canvas_event = function() {\n",
|
|
|
|
1324
|
" // Called whenever the canvas gets updated.\n",
|
|
|
|
1325
|
" this.send_message(\"ack\", {});\n",
|
|
|
|
1326
|
"}\n",
|
|
|
|
1327
|
"\n",
|
|
|
|
1328
|
"// A function to construct a web socket function for onmessage handling.\n",
|
|
|
|
1329
|
"// Called in the figure constructor.\n",
|
|
|
|
1330
|
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
|
|
|
|
1331
|
" return function socket_on_message(evt) {\n",
|
|
|
|
1332
|
" if (evt.data instanceof Blob) {\n",
|
|
|
|
1333
|
" /* FIXME: We get \"Resource interpreted as Image but\n",
|
|
|
|
1334
|
" * transferred with MIME type text/plain:\" errors on\n",
|
|
|
|
1335
|
" * Chrome. But how to set the MIME type? It doesn't seem\n",
|
|
|
|
1336
|
" * to be part of the websocket stream */\n",
|
|
|
|
1337
|
" evt.data.type = \"image/png\";\n",
|
|
|
|
1338
|
"\n",
|
|
|
|
1339
|
" /* Free the memory for the previous frames */\n",
|
|
|
|
1340
|
" if (fig.imageObj.src) {\n",
|
|
|
|
1341
|
" (window.URL || window.webkitURL).revokeObjectURL(\n",
|
|
|
|
1342
|
" fig.imageObj.src);\n",
|
|
|
|
1343
|
" }\n",
|
|
|
|
1344
|
"\n",
|
|
|
|
1345
|
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
|
|
|
|
1346
|
" evt.data);\n",
|
|
|
|
1347
|
" fig.updated_canvas_event();\n",
|
|
|
|
1348
|
" fig.waiting = false;\n",
|
|
|
|
1349
|
" return;\n",
|
|
|
|
1350
|
" }\n",
|
|
|
|
1351
|
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
|
|
|
|
1352
|
" fig.imageObj.src = evt.data;\n",
|
|
|
|
1353
|
" fig.updated_canvas_event();\n",
|
|
|
|
1354
|
" fig.waiting = false;\n",
|
|
|
|
1355
|
" return;\n",
|
|
|
|
1356
|
" }\n",
|
|
|
|
1357
|
"\n",
|
|
|
|
1358
|
" var msg = JSON.parse(evt.data);\n",
|
|
|
|
1359
|
" var msg_type = msg['type'];\n",
|
|
|
|
1360
|
"\n",
|
|
|
|
1361
|
" // Call the \"handle_{type}\" callback, which takes\n",
|
|
|
|
1362
|
" // the figure and JSON message as its only arguments.\n",
|
|
|
|
1363
|
" try {\n",
|
|
|
|
1364
|
" var callback = fig[\"handle_\" + msg_type];\n",
|
|
|
|
1365
|
" } catch (e) {\n",
|
|
|
|
1366
|
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
|
|
|
|
1367
|
" return;\n",
|
|
|
|
1368
|
" }\n",
|
|
|
|
1369
|
"\n",
|
|
|
|
1370
|
" if (callback) {\n",
|
|
|
|
1371
|
" try {\n",
|
|
|
|
1372
|
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
|
|
|
|
1373
|
" callback(fig, msg);\n",
|
|
|
|
1374
|
" } catch (e) {\n",
|
|
|
|
1375
|
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
|
|
|
|
1376
|
" }\n",
|
|
|
|
1377
|
" }\n",
|
|
|
|
1378
|
" };\n",
|
|
|
|
1379
|
"}\n",
|
|
|
|
1380
|
"\n",
|
|
|
|
1381
|
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
|
|
|
|
1382
|
"mpl.findpos = function(e) {\n",
|
|
|
|
1383
|
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
|
|
|
|
1384
|
" var targ;\n",
|
|
|
|
1385
|
" if (!e)\n",
|
|
|
|
1386
|
" e = window.event;\n",
|
|
|
|
1387
|
" if (e.target)\n",
|
|
|
|
1388
|
" targ = e.target;\n",
|
|
|
|
1389
|
" else if (e.srcElement)\n",
|
|
|
|
1390
|
" targ = e.srcElement;\n",
|
|
|
|
1391
|
" if (targ.nodeType == 3) // defeat Safari bug\n",
|
|
|
|
1392
|
" targ = targ.parentNode;\n",
|
|
|
|
1393
|
"\n",
|
|
|
|
1394
|
" // jQuery normalizes the pageX and pageY\n",
|
|
|
|
1395
|
" // pageX,Y are the mouse positions relative to the document\n",
|
|
|
|
1396
|
" // offset() returns the position of the element relative to the document\n",
|
|
|
|
1397
|
" var x = e.pageX - $(targ).offset().left;\n",
|
|
|
|
1398
|
" var y = e.pageY - $(targ).offset().top;\n",
|
|
|
|
1399
|
"\n",
|
|
|
|
1400
|
" return {\"x\": x, \"y\": y};\n",
|
|
|
|
1401
|
"};\n",
|
|
|
|
1402
|
"\n",
|
|
|
|
1403
|
"/*\n",
|
|
|
|
1404
|
" * return a copy of an object with only non-object keys\n",
|
|
|
|
1405
|
" * we need this to avoid circular references\n",
|
|
|
|
1406
|
" * http://stackoverflow.com/a/24161582/3208463\n",
|
|
|
|
1407
|
" */\n",
|
|
|
|
1408
|
"function simpleKeys (original) {\n",
|
|
|
|
1409
|
" return Object.keys(original).reduce(function (obj, key) {\n",
|
|
|
|
1410
|
" if (typeof original[key] !== 'object')\n",
|
|
|
|
1411
|
" obj[key] = original[key]\n",
|
|
|
|
1412
|
" return obj;\n",
|
|
|
|
1413
|
" }, {});\n",
|
|
|
|
1414
|
"}\n",
|
|
|
|
1415
|
"\n",
|
|
|
|
1416
|
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
|
|
|
|
1417
|
" var canvas_pos = mpl.findpos(event)\n",
|
|
|
|
1418
|
"\n",
|
|
|
|
1419
|
" if (name === 'button_press')\n",
|
|
|
|
1420
|
" {\n",
|
|
|
|
1421
|
" this.canvas.focus();\n",
|
|
|
|
1422
|
" this.canvas_div.focus();\n",
|
|
|
|
1423
|
" }\n",
|
|
|
|
1424
|
"\n",
|
|
|
|
1425
|
" var x = canvas_pos.x * mpl.ratio;\n",
|
|
|
|
1426
|
" var y = canvas_pos.y * mpl.ratio;\n",
|
|
|
|
1427
|
"\n",
|
|
|
|
1428
|
" this.send_message(name, {x: x, y: y, button: event.button,\n",
|
|
|
|
1429
|
" step: event.step,\n",
|
|
|
|
1430
|
" guiEvent: simpleKeys(event)});\n",
|
|
|
|
1431
|
"\n",
|
|
|
|
1432
|
" /* This prevents the web browser from automatically changing to\n",
|
|
|
|
1433
|
" * the text insertion cursor when the button is pressed. We want\n",
|
|
|
|
1434
|
" * to control all of the cursor setting manually through the\n",
|
|
|
|
1435
|
" * 'cursor' event from matplotlib */\n",
|
|
|
|
1436
|
" event.preventDefault();\n",
|
|
|
|
1437
|
" return false;\n",
|
|
|
|
1438
|
"}\n",
|
|
|
|
1439
|
"\n",
|
|
|
|
1440
|
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
|
|
|
|
1441
|
" // Handle any extra behaviour associated with a key event\n",
|
|
|
|
1442
|
"}\n",
|
|
|
|
1443
|
"\n",
|
|
|
|
1444
|
"mpl.figure.prototype.key_event = function(event, name) {\n",
|
|
|
|
1445
|
"\n",
|
|
|
|
1446
|
" // Prevent repeat events\n",
|
|
|
|
1447
|
" if (name == 'key_press')\n",
|
|
|
|
1448
|
" {\n",
|
|
|
|
1449
|
" if (event.which === this._key)\n",
|
|
|
|
1450
|
" return;\n",
|
|
|
|
1451
|
" else\n",
|
|
|
|
1452
|
" this._key = event.which;\n",
|
|
|
|
1453
|
" }\n",
|
|
|
|
1454
|
" if (name == 'key_release')\n",
|
|
|
|
1455
|
" this._key = null;\n",
|
|
|
|
1456
|
"\n",
|
|
|
|
1457
|
" var value = '';\n",
|
|
|
|
1458
|
" if (event.ctrlKey && event.which != 17)\n",
|
|
|
|
1459
|
" value += \"ctrl+\";\n",
|
|
|
|
1460
|
" if (event.altKey && event.which != 18)\n",
|
|
|
|
1461
|
" value += \"alt+\";\n",
|
|
|
|
1462
|
" if (event.shiftKey && event.which != 16)\n",
|
|
|
|
1463
|
" value += \"shift+\";\n",
|
|
|
|
1464
|
"\n",
|
|
|
|
1465
|
" value += 'k';\n",
|
|
|
|
1466
|
" value += event.which.toString();\n",
|
|
|
|
1467
|
"\n",
|
|
|
|
1468
|
" this._key_event_extra(event, name);\n",
|
|
|
|
1469
|
"\n",
|
|
|
|
1470
|
" this.send_message(name, {key: value,\n",
|
|
|
|
1471
|
" guiEvent: simpleKeys(event)});\n",
|
|
|
|
1472
|
" return false;\n",
|
|
|
|
1473
|
"}\n",
|
|
|
|
1474
|
"\n",
|
|
|
|
1475
|
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
|
|
|
|
1476
|
" if (name == 'download') {\n",
|
|
|
|
1477
|
" this.handle_save(this, null);\n",
|
|
|
|
1478
|
" } else {\n",
|
|
|
|
1479
|
" this.send_message(\"toolbar_button\", {name: name});\n",
|
|
|
|
1480
|
" }\n",
|
|
|
|
1481
|
"};\n",
|
|
|
|
1482
|
"\n",
|
|
|
|
1483
|
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
|
|
|
|
1484
|
" this.message.textContent = tooltip;\n",
|
|
|
|
1485
|
"};\n",
|
|
|
|
1486
|
"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",
|
|
|
|
1487
|
"\n",
|
|
|
|
1488
|
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
|
|
|
|
1489
|
"\n",
|
|
|
|
1490
|
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
|
|
|
|
1491
|
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
|
|
|
|
1492
|
" // object with the appropriate methods. Currently this is a non binary\n",
|
|
|
|
1493
|
" // socket, so there is still some room for performance tuning.\n",
|
|
|
|
1494
|
" var ws = {};\n",
|
|
|
|
1495
|
"\n",
|
|
|
|
1496
|
" ws.close = function() {\n",
|
|
|
|
1497
|
" comm.close()\n",
|
|
|
|
1498
|
" };\n",
|
|
|
|
1499
|
" ws.send = function(m) {\n",
|
|
|
|
1500
|
" //console.log('sending', m);\n",
|
|
|
|
1501
|
" comm.send(m);\n",
|
|
|
|
1502
|
" };\n",
|
|
|
|
1503
|
" // Register the callback with on_msg.\n",
|
|
|
|
1504
|
" comm.on_msg(function(msg) {\n",
|
|
|
|
1505
|
" //console.log('receiving', msg['content']['data'], msg);\n",
|
|
|
|
1506
|
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
|
|
|
|
1507
|
" ws.onmessage(msg['content']['data'])\n",
|
|
|
|
1508
|
" });\n",
|
|
|
|
1509
|
" return ws;\n",
|
|
|
|
1510
|
"}\n",
|
|
|
|
1511
|
"\n",
|
|
|
|
1512
|
"mpl.mpl_figure_comm = function(comm, msg) {\n",
|
|
|
|
1513
|
" // This is the function which gets called when the mpl process\n",
|
|
|
|
1514
|
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
|
|
|
|
1515
|
"\n",
|
|
|
|
1516
|
" var id = msg.content.data.id;\n",
|
|
|
|
1517
|
" // Get hold of the div created by the display call when the Comm\n",
|
|
|
|
1518
|
" // socket was opened in Python.\n",
|
|
|
|
1519
|
" var element = $(\"#\" + id);\n",
|
|
|
|
1520
|
" var ws_proxy = comm_websocket_adapter(comm)\n",
|
|
|
|
1521
|
"\n",
|
|
|
|
1522
|
" function ondownload(figure, format) {\n",
|
|
|
|
1523
|
" window.open(figure.imageObj.src);\n",
|
|
|
|
1524
|
" }\n",
|
|
|
|
1525
|
"\n",
|
|
|
|
1526
|
" var fig = new mpl.figure(id, ws_proxy,\n",
|
|
|
|
1527
|
" ondownload,\n",
|
|
|
|
1528
|
" element.get(0));\n",
|
|
|
|
1529
|
"\n",
|
|
|
|
1530
|
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
|
|
|
|
1531
|
" // web socket which is closed, not our websocket->open comm proxy.\n",
|
|
|
|
1532
|
" ws_proxy.onopen();\n",
|
|
|
|
1533
|
"\n",
|
|
|
|
1534
|
" fig.parent_element = element.get(0);\n",
|
|
|
|
1535
|
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
|
|
|
|
1536
|
" if (!fig.cell_info) {\n",
|
|
|
|
1537
|
" console.error(\"Failed to find cell for figure\", id, fig);\n",
|
|
|
|
1538
|
" return;\n",
|
|
|
|
1539
|
" }\n",
|
|
|
|
1540
|
"\n",
|
|
|
|
1541
|
" var output_index = fig.cell_info[2]\n",
|
|
|
|
1542
|
" var cell = fig.cell_info[0];\n",
|
|
|
|
1543
|
"\n",
|
|
|
|
1544
|
"};\n",
|
|
|
|
1545
|
"\n",
|
|
|
|
1546
|
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
|
|
|
|
1547
|
" var width = fig.canvas.width/mpl.ratio\n",
|
|
|
|
1548
|
" fig.root.unbind('remove')\n",
|
|
|
|
1549
|
"\n",
|
|
|
|
1550
|
" // Update the output cell to use the data from the current canvas.\n",
|
|
|
|
1551
|
" fig.push_to_output();\n",
|
|
|
|
1552
|
" var dataURL = fig.canvas.toDataURL();\n",
|
|
|
|
1553
|
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
|
|
|
|
1554
|
" // the notebook keyboard shortcuts fail.\n",
|
|
|
|
1555
|
" IPython.keyboard_manager.enable()\n",
|
|
|
|
1556
|
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
|
|
|
|
1557
|
" fig.close_ws(fig, msg);\n",
|
|
|
|
1558
|
"}\n",
|
|
|
|
1559
|
"\n",
|
|
|
|
1560
|
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
|
|
|
|
1561
|
" fig.send_message('closing', msg);\n",
|
|
|
|
1562
|
" // fig.ws.close()\n",
|
|
|
|
1563
|
"}\n",
|
|
|
|
1564
|
"\n",
|
|
|
|
1565
|
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
|
|
|
|
1566
|
" // Turn the data on the canvas into data in the output cell.\n",
|
|
|
|
1567
|
" var width = this.canvas.width/mpl.ratio\n",
|
|
|
|
1568
|
" var dataURL = this.canvas.toDataURL();\n",
|
|
|
|
1569
|
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
|
|
|
|
1570
|
"}\n",
|
|
|
|
1571
|
"\n",
|
|
|
|
1572
|
"mpl.figure.prototype.updated_canvas_event = function() {\n",
|
|
|
|
1573
|
" // Tell IPython that the notebook contents must change.\n",
|
|
|
|
1574
|
" IPython.notebook.set_dirty(true);\n",
|
|
|
|
1575
|
" this.send_message(\"ack\", {});\n",
|
|
|
|
1576
|
" var fig = this;\n",
|
|
|
|
1577
|
" // Wait a second, then push the new image to the DOM so\n",
|
|
|
|
1578
|
" // that it is saved nicely (might be nice to debounce this).\n",
|
|
|
|
1579
|
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
|
|
|
|
1580
|
"}\n",
|
|
|
|
1581
|
"\n",
|
|
|
|
1582
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
|
|
1583
|
" var fig = this;\n",
|
|
|
|
1584
|
"\n",
|
|
|
|
1585
|
" var nav_element = $('<div/>')\n",
|
|
|
|
1586
|
" nav_element.attr('style', 'width: 100%');\n",
|
|
|
|
1587
|
" this.root.append(nav_element);\n",
|
|
|
|
1588
|
"\n",
|
|
|
|
1589
|
" // Define a callback function for later on.\n",
|
|
|
|
1590
|
" function toolbar_event(event) {\n",
|
|
|
|
1591
|
" return fig.toolbar_button_onclick(event['data']);\n",
|
|
|
|
1592
|
" }\n",
|
|
|
|
1593
|
" function toolbar_mouse_event(event) {\n",
|
|
|
|
1594
|
" return fig.toolbar_button_onmouseover(event['data']);\n",
|
|
|
|
1595
|
" }\n",
|
|
|
|
1596
|
"\n",
|
|
|
|
1597
|
" for(var toolbar_ind in mpl.toolbar_items){\n",
|
|
|
|
1598
|
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
|
|
|
|
1599
|
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
|
|
|
|
1600
|
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
|
|
|
|
1601
|
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
|
|
|
|
1602
|
"\n",
|
|
|
|
1603
|
" if (!name) { continue; };\n",
|
|
|
|
1604
|
"\n",
|
|
|
|
1605
|
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
|
|
|
|
1606
|
" button.click(method_name, toolbar_event);\n",
|
|
|
|
1607
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
|
|
1608
|
" nav_element.append(button);\n",
|
|
|
|
1609
|
" }\n",
|
|
|
|
1610
|
"\n",
|
|
|
|
1611
|
" // Add the status bar.\n",
|
|
|
|
1612
|
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
|
|
|
|
1613
|
" nav_element.append(status_bar);\n",
|
|
|
|
1614
|
" this.message = status_bar[0];\n",
|
|
|
|
1615
|
"\n",
|
|
|
|
1616
|
" // Add the close button to the window.\n",
|
|
|
|
1617
|
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
|
|
|
|
1618
|
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
|
|
|
|
1619
|
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
|
|
|
|
1620
|
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
|
|
|
|
1621
|
" buttongrp.append(button);\n",
|
|
|
|
1622
|
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
|
|
|
|
1623
|
" titlebar.prepend(buttongrp);\n",
|
|
|
|
1624
|
"}\n",
|
|
|
|
1625
|
"\n",
|
|
|
|
1626
|
"mpl.figure.prototype._root_extra_style = function(el){\n",
|
|
|
|
1627
|
" var fig = this\n",
|
|
|
|
1628
|
" el.on(\"remove\", function(){\n",
|
|
|
|
1629
|
"\tfig.close_ws(fig, {});\n",
|
|
|
|
1630
|
" });\n",
|
|
|
|
1631
|
"}\n",
|
|
|
|
1632
|
"\n",
|
|
|
|
1633
|
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
|
|
|
|
1634
|
" // this is important to make the div 'focusable\n",
|
|
|
|
1635
|
" el.attr('tabindex', 0)\n",
|
|
|
|
1636
|
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
|
|
|
|
1637
|
" // off when our div gets focus\n",
|
|
|
|
1638
|
"\n",
|
|
|
|
1639
|
" // location in version 3\n",
|
|
|
|
1640
|
" if (IPython.notebook.keyboard_manager) {\n",
|
|
|
|
1641
|
" IPython.notebook.keyboard_manager.register_events(el);\n",
|
|
|
|
1642
|
" }\n",
|
|
|
|
1643
|
" else {\n",
|
|
|
|
1644
|
" // location in version 2\n",
|
|
|
|
1645
|
" IPython.keyboard_manager.register_events(el);\n",
|
|
|
|
1646
|
" }\n",
|
|
|
|
1647
|
"\n",
|
|
|
|
1648
|
"}\n",
|
|
|
|
1649
|
"\n",
|
|
|
|
1650
|
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
|
|
|
|
1651
|
" var manager = IPython.notebook.keyboard_manager;\n",
|
|
|
|
1652
|
" if (!manager)\n",
|
|
|
|
1653
|
" manager = IPython.keyboard_manager;\n",
|
|
|
|
1654
|
"\n",
|
|
|
|
1655
|
" // Check for shift+enter\n",
|
|
|
|
1656
|
" if (event.shiftKey && event.which == 13) {\n",
|
|
|
|
1657
|
" this.canvas_div.blur();\n",
|
|
|
|
1658
|
" event.shiftKey = false;\n",
|
|
|
|
1659
|
" // Send a \"J\" for go to next cell\n",
|
|
|
|
1660
|
" event.which = 74;\n",
|
|
|
|
1661
|
" event.keyCode = 74;\n",
|
|
|
|
1662
|
" manager.command_mode();\n",
|
|
|
|
1663
|
" manager.handle_keydown(event);\n",
|
|
|
|
1664
|
" }\n",
|
|
|
|
1665
|
"}\n",
|
|
|
|
1666
|
"\n",
|
|
|
|
1667
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
|
|
1668
|
" fig.ondownload(fig, null);\n",
|
|
|
|
1669
|
"}\n",
|
|
|
|
1670
|
"\n",
|
|
|
|
1671
|
"\n",
|
|
|
|
1672
|
"mpl.find_output_cell = function(html_output) {\n",
|
|
|
|
1673
|
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
|
|
|
|
1674
|
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
|
|
|
|
1675
|
" // IPython event is triggered only after the cells have been serialised, which for\n",
|
|
|
|
1676
|
" // our purposes (turning an active figure into a static one), is too late.\n",
|
|
|
|
1677
|
" var cells = IPython.notebook.get_cells();\n",
|
|
|
|
1678
|
" var ncells = cells.length;\n",
|
|
|
|
1679
|
" for (var i=0; i<ncells; i++) {\n",
|
|
|
|
1680
|
" var cell = cells[i];\n",
|
|
|
|
1681
|
" if (cell.cell_type === 'code'){\n",
|
|
|
|
1682
|
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
|
|
|
|
1683
|
" var data = cell.output_area.outputs[j];\n",
|
|
|
|
1684
|
" if (data.data) {\n",
|
|
|
|
1685
|
" // IPython >= 3 moved mimebundle to data attribute of output\n",
|
|
|
|
1686
|
" data = data.data;\n",
|
|
|
|
1687
|
" }\n",
|
|
|
|
1688
|
" if (data['text/html'] == html_output) {\n",
|
|
|
|
1689
|
" return [cell, data, j];\n",
|
|
|
|
1690
|
" }\n",
|
|
|
|
1691
|
" }\n",
|
|
|
|
1692
|
" }\n",
|
|
|
|
1693
|
" }\n",
|
|
|
|
1694
|
"}\n",
|
|
|
|
1695
|
"\n",
|
|
|
|
1696
|
"// Register the function which deals with the matplotlib target/channel.\n",
|
|
|
|
1697
|
"// The kernel may be null if the page has been refreshed.\n",
|
|
|
|
1698
|
"if (IPython.notebook.kernel != null) {\n",
|
|
|
|
1699
|
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
|
|
|
|
1700
|
"}\n"
|
|
|
|
1701
|
],
|
|
|
|
1702
|
"text/plain": [
|
|
|
|
1703
|
"<IPython.core.display.Javascript object>"
|
|
|
|
1704
|
]
|
|
|
|
1705
|
},
|
|
|
|
1706
|
"metadata": {},
|
|
|
|
1707
|
"output_type": "display_data"
|
|
|
|
1708
|
},
|
|
|
|
1709
|
{
|
|
|
|
1710
|
"data": {
|
|
|
|
1711
|
"text/html": [
|
|
|
|
1712
|
"<img 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yop0KQAAAAAAAACqCfqKsDoCJAAAAAAAAAAAAPghQAIAAAAAAAAAAIAfAiQAAAAAAAAAAAD4IUACgG/Iz89XTEyM2rZtqxtuuEFRUVGaNGmS3xy3261Jkybp6aef1m9/+1v98Ic/1L333qtevXqpuLi4wp9VUlKiTz75RDfffLOuu+46NW3aVMuXLw86d926dWrRooV+8IMf6KabblKHDh2Un58fyq+KWqIi97QkTZgwQa1atdIvf/lLff/731fdunX12muv6ciRIxX+LO5phENF7+lLlZWV6e6771ZUVJQGDRpU4c+6ePGi3nrrLf385z/XD3/4Qz388MNKS0sLOnfBggVq2LChrr32Wv3ud79TTEyMysvLK/OroZaq6D3dvn17RUVFBVx33XVXhT+LexpXW2XWaLfbrbFjx6p+/fq67rrrdOONN+qRRx7R9u3bK/RZ3M8Ih4re08HW56+vP/3pTxX6LO5phENl1umZM2fqgQce0PXXX68bb7xRrVq1ktPprPBncU8D1R8BEgB8w5EjRxQVFaVbbrlFDz/8cNB/mcrPz1dUVJSaNWum3r17a8KECXr99df1f//3f3r44Yfl8Xgq9Fkvv/yyrrnmGnXs2FGffvqpmjdvrmuuuUZr1qzxm7dt2zZdd911atiwocaNG6euXbvq2muv1eOPP15VvzZqsIrc05L0r3/9S+3bt9fgwYM1ceJEdevWTTfddJN+/vOf69SpUxX6LO5phENF7+lLDRkyRD/60Y8qFSC53W49+OCD+tGPfqTu3btr9OjRuueee/STn/xE+/fv95u7ZMkSfe9739MjjzyiCRMmqEOHDvq///s/vfvuu9/110QtUtF7un379rr22msVHx/vdy1cuLBCn8M9jXCozBrdvn17XXPNNXrjjTcUFxen4cOHq3379pf9j08uxf2McKnoPf3NtTk+Pl7//e9/FRUVpYEDB37r53BPI1wqek+PHDlSUVFRevLJJzVu3DgNGzZM9evXV1RUlObOnfutn8M9DdQMBEgA8A0lJSXKzMyUJG3ZsiXov0yVlpZq3bp1AT/bo0cPRUVFKTEx8Vs/Z9OmTQGNzOLiYt1+++1q3ry539wnnnhCN998s3Jzc83X4uLiFBUVpWXLllXm10MtVJF7+nJSU1MVFRWlfv36fetc7mmES2Xv6aysLF1//fXq2bNnpQKkmTNnKioqSrNnzzZfO3v2rH7605/qr3/9q9/ce+65R/Xr1/f7ryS7du2q733ve0pPT6/Eb4faqKL3dPv27fWjH/3oO38O9zTC4f+3d7ehWdX/H8C/27TduLxJZbOUUVgUo9LCZVpoJmFmQjfmk8RqFaiQEIrdWFEjCUJDh93jg+7F0AfRDZJCGqKJFVEptRoVRaZ5G7WV9vk/+LHxO17btWv1+7sxXy/Yk++++16c8eZwznmf65xC89yWx/Xr1/+jz5FnTpZ/cyxdX18fRUVF8cMPP3Q5V6Y5WQrN9Lnnnhvjxo3L3CB7+PDhqKysjJkzZ3b5OTINfYMCCSCP7p4gfPbZZ5FSilWrVmXGv/vuu5yDnsWLF0dJSUnmAnpExLJlyyKlFN9//31E/OcArV+/frF48eLMvNbW1qisrIz6+vpubhWnsu5mev/+/ZFSiiVLlmTGZZreopBM33777VFXVxfffvttpwVSU1NTNDU1ZcZmzZoVVVVVcfz48cz43XffHRUVFdHS0hIREV988UWklGL16tWZeT/++GOklKKhoeEfbh2nokIKpGPHjuXsa08k0/QG+fJ82WWXRV1dXUT85y713377rdN15JneojvH0i0tLTF48OCYPHlyzu9kmt4iX6arqqriuuuuyxmvrq6O2bNnZ8ZkGvouBRJAHt292L5x48ZIKcVrr72WGZ80aVKklN3lTp06NS644IKcNd5///1IKbU/jubDDz+MlFKsXbs2Z+4VV1wRl1xySYFbA4Vlev/+/bF3797YuXNnXH/99ZFSynmUjEzTW3SV6R07dkRxcXFs27at/XEdHRVINTU1UVNTkxkbPXp0XHvttTlzX3zxxUgpxWeffRYREa+88kqklGLHjh05c0eOHBk33nhj9zeMU1ZXBVJRUVFUVFRESimGDBkS8+fP7/D9cTJNb9BZng8fPhxFRUWxYMGCuP/++6OysjJSSnH22Wd3eHwgz/QW3Tk/XL9+faSU4oUXXsj5nUzTW+TL9OzZs6OkpCRWrVoVzc3NsXv37pg/f36Ul5fHtm3bMnNlGvouBRJAHt0tkKZOnRoDBw6MgwcPZsY7utheW1sbU6ZMyVmj7e6bZ599NiIi1q1bFyml2LJlS87cWbNmRXV1dYFbA4VlurS0tP2Fv0OHDs35Rl2ETNN75Mv033//HXV1de2PyOhugTRgwIC44447cua+/fbbkVKK9957LyIinnzyycy37P7buHHjYvz48f9gyzhV5cv0fffdF0uWLIm1a9fG66+/HnPnzo2UUkycODHnJdMyTW/QWZ4//vjj9uOMqqqqePrpp+PVV1+Nurq6KCoqinfffTczX57pLbpzfnjTTTdFaWlpzrlhhEzTe+TL9N69e+Pqq69uPzdMKcWwYcNyyqMImYa+TIEEkEd3ThAef/zxSCnF008/XdDa55xzTod343zzzTeRUoqnnnoqIiJeeumlTu/GmTNnTgwaNKigz4OIwjK9efPmeOedd2L58uUxduzYgt5/FCHT9Ix8mV6zZk2Ul5e3n4zmK5A6UlxcHPPmzcsZ37RpU6SUYsOGDRER7e9W2rt3b87cK6+8Mi6++OJubBGnuu7evNJ2/PH66693OVemOdk6y/OWLVvaL0Zu3769ffzo0aMxbNiwmDhxYpdryzM9odB99OHDh6OsrCxuuOGGgteWaXpCvkwfPXo05s+fH3Pnzo1169bFmjVr4sILL4zq6ur4+uuvu1xbpqFvUCAB5FHoCcIbb7wRRUVF3Xp3i29r0BO6e2GyqakpysrKorGxscu5Mk1PyPd4pKqqqnj44Yfbx7pbILlrkp7Q3f3077//HsXFxQUdg8g0J1tneW4bP/vss3P+5vbbb4/+/fvnfKvuRPJMTyh0H71mzZpIKcWbb75Z8NoyTU/Il+lp06bFjBkzMmO//vprnHHGGXHLLbd0ubZMQ9+gQALIo5AThI0bN8Zpp50WM2bM6PJE9795Xww9obsXJiMiLr/88oIO2mWantBZph966KEYMmRIfPHFF9Hc3BzNzc2xdevWSCnFAw88EM3NzdHa2pp3bc9tpyf8k/308OHDC7rLXaY52TrLc9uL0Ts6vliyZEmklOLQoUN515ZnekKh++irr746Bg0aFC0tLQWvLdP0hM4y3fYUieeffz7nb2bOnBlnnXVWl2vLNPQNCiSAPLo6Qdi+fXsMGDAgJkyYEL///nu31l60aFGUlJTE4cOHM+Ntj6Jpu/vm0KFD0a9fv1i8eHFmXmtra1RWVnZ4Rw905p9cmBwzZkyHxdCJZJqe0Fmm294Nk+/nk08+ybv2zTffHFVVVXH8+PHM+F133RUVFRXtF4U+//zzSCnF6tWrM/PaLpA+9thj/35DOWV0dz995MiRKCoqirvvvrvLuTLNyZYvz9XV1TFq1Kic8Tlz5kRZWVlOTk8kz/SEQvbRP/30UxQXF3f7mFam6QmdZXrbtm2RUopnnnkm52+uvfbaqKqq6nJtmYa+QYEEkEe+E4Qvv/wyhg4dGrW1tXHgwIG863z33Xexe/fuzNj27dtzHqXU0tISo0ePjssuuywzd9q0aTFixIg4cuRI+1jbXTsnvmQY8uks03/99VeHOd6xY0eUlJTEnDlzMuMyTW/RWaZ37doVGzZsyPw899xzkVKK2267LTZs2JC5u72pqSmampoya7zxxhuRUop169a1j+3bty8GDx4cs2fPzsw9//zz4+KLL45jx461jy1dujSKioriyy+//B9uMX1dZ5n+448/MvvMNosXL46UUqxfvz4zLtP0BvmOpRcuXBgppdi4cWP72L59+2LgwIExffr0zFx5prcopEBasWJFpJRi06ZNnc6RaXqLzjL9yy+/RHFxcUyePDn+/vvv9vEffvghKisrY9q0aZn5Mg19lwIJoAONjY3R0NAQ8+bNi5RS3HjjjdHQ0BANDQ1x6NChOHLkSIwaNSqKi4vjiSeeiJdffjnzs23btsx6kyZNipRyd7mzZs1q/ybGc889FxMmTIh+/frFBx98kJm3a9euKC0tjbFjx8YzzzwTDz74YJSVlcU111zz//p/oO/oKtMHDx5sf0b18uXL49lnn40FCxZERUVFnHHGGfHVV19l1pNpelpXme5Ivncg1dTURE1NTWbs2LFjMX78+KisrIxHH300Vq9eHbW1tXH66afHnj17MnPfeuutKCoqiilTpsTzzz8f99xzTxQXF8ddd931P9tm+rauMt3c3ByDBw+OefPmxcqVK2PlypUxffr0SCnFtGnTcu7ulWl6UiH76J9//jlGjBgRp59+ejzyyCOxYsWKOO+886K8vDw+/fTTzHryTE/rznHHpZdeGmeeeWbeb9HJND2tkEzfeeedkVKKq666KhobG2PZsmUxcuTIKCkpyTm/k2nouxRIAB2oqanp9JFHbe/SyPdYpLlz52bW6+xi+x9//BGLFi2K6urqKC0tjXHjxrW/SPJEW7dujQkTJkRZWVkMHz48FixY0OGdyNCRrjLd2toaCxcujIsuuigGDhwY/fv3j5qamqivr4/m5uac9WSantZVpjvS3QIpIuLAgQNRX18fQ4cOjYqKipg0aVLs3Lmzw/U3bNgQY8aMidLS0hg5cmQsXbo0/vzzz3+zmZxCusr0wYMH49Zbb43Ro0dHRUVFlJaWRm1tbSxbtqzDnMk0PanQffQ333wTN9xwQwwcODDKy8tjypQp8dFHH3W4njzTkwrN9J49eyKlFPfee2+X68k0PamQTP/111/R2NgYY8aMicrKyqisrIyrrroqNm/e3OF6Mg19kwIJAAAAAACADAUSAAAAAAAAGQokAAAAAAAAMhRIAAAAAAAAZCiQAAAAAAAAyFAgAQAAAAAAkKFAAgAAAAAAIEOBBAAAAAAAQIYCCQAAAAAAgAwFEgAAAAAAABkKJAAAAAAAADIUSAAAAAAAAGQokAAAAAAAAMhQIAEAAAAAAJChQAIAAAAAACBDgQQAAAAAAECGAgkAAAAAAIAMBRIAAAAAAAAZCiQAAAAAAAAyFEgAAAAAAABkKJAAAAAAAADIUCABAAAAAACQoUACAAAAAAAgQ4EEAAAAAABAhgIJAAAAAACADAUSAAAAAAAAGQokAAAAAAAAMhRIAAAAAAAAZCiQAAAAAAAAyFAgAQAAAAAAkKFAAgAAAAAAIEOBBAAAAAAAQIYCCQAAAAAAgAwFEgAAAAAAABkKJAAAAAAAADIUSAAAAAAAAGQokAAAAAAAAMhQIAEAAAAAAJChQAIAAAAAACBDgQQAAAAAAECGAgkAAAAAAIAMBRIAAAAAAAAZCiQAAAAAAAAyFEgAAAAAAABkKJAAAAAAAADIUCABAAAAAACQoUACAAAAAAAgQ4EEAAAAAABAhgIJAAAAAACADAUSAAAAAAAAGQokAAAAAAAAMhRIAAAAAAAAZCiQAAAAAAAAyFAgAQAAAAAAkKFAAgAAAAAAIEOBBAAAAAAAQMb/AQlrtr6zlzt5AAAAAElFTkSuQmCC\" width=\"1400\">"
|
|
|
|
1713
|
],
|
|
|
|
1714
|
"text/plain": [
|
|
|
|
1715
|
"<IPython.core.display.HTML object>"
|
|
|
|
1716
|
]
|
|
|
|
1717
|
},
|
|
|
|
1718
|
"metadata": {},
|
|
|
|
1719
|
"output_type": "display_data"
|
|
|
|
1720
|
}
|
|
|
|
1721
|
],
|
|
|
|
1722
|
"source": [
|
|
|
|
1723
|
"plot_temperatures('/home/jeandet/ownCloud/TESTS_LFR_PFM1_PPBI_06_2018/Thermal_Chamber_Logs/Essai du 27 juin 2018.csv', [\"Time\", \"T2\",\"air\",\"PCB\", \"socket\"])\n",
|
|
|
|
1724
|
"plot_temperatures('/home/jeandet/ownCloud/TESTS_LFR_PFM1_PPBI_06_2018/Thermal_Chamber_Logs/Essai du 26 juin 2018.csv', [\"Time\",\"air\",\"PCB\", \"socket\"])"
|
|
|
|
1725
|
]
|
|
|
|
1726
|
},
|
|
|
|
1727
|
{
|
|
|
|
1728
|
"cell_type": "code",
|
|
|
|
1729
|
"execution_count": 5,
|
|
|
|
1730
|
"metadata": {
|
|
|
|
1731
|
"ExecuteTime": {
|
|
|
|
1732
|
"end_time": "2018-06-29T12:19:46.965856Z",
|
|
|
|
1733
|
"start_time": "2018-06-29T12:19:46.947036Z"
|
|
|
|
1734
|
}
|
|
|
|
1735
|
},
|
|
|
|
1736
|
"outputs": [],
|
|
|
|
1737
|
"source": [
|
|
|
|
1738
|
"ctx = TestContextOutput(TestContextInput())\n",
|
|
|
|
1739
|
"ctx.OutputFiles=[\"/home/jeandet/Documents/DATA/LFR_Packets/2018_06_26_13_43_36_packet_log.data\", \"/home/jeandet/Documents/DATA/LFR_Packets/2018_06_26_13_43_35_packet_record.data\"]\n",
|
|
|
|
1740
|
"ctx.save(\"/home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/20_to_-30_transition.outpout\")\n",
|
|
|
|
1741
|
"ctx.OutputFiles=[\"/home/jeandet/Documents/DATA/LFR_Packets/2018_06_26_15_00_51_packet_log.data\", \"/home/jeandet/Documents/DATA/LFR_Packets/2018_06_26_15_00_52_packet_record.data\"]\n",
|
|
|
|
1742
|
"ctx.save(\"/home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/-30_to_20_transition.outpout\")"
|
|
|
|
1743
|
]
|
|
|
|
1744
|
},
|
|
|
|
1745
|
{
|
|
|
|
1746
|
"cell_type": "markdown",
|
|
|
|
1747
|
"metadata": {},
|
|
|
|
1748
|
"source": [
|
|
|
|
1749
|
"# 20°C to -30°C transition analysis"
|
|
|
|
1750
|
]
|
|
|
|
1751
|
},
|
|
|
|
1752
|
{
|
|
|
|
1753
|
"cell_type": "code",
|
|
|
|
1754
|
"execution_count": 16,
|
|
|
|
1755
|
"metadata": {
|
|
|
|
1756
|
"ExecuteTime": {
|
|
|
|
1757
|
"end_time": "2018-06-29T12:31:47.249534Z",
|
|
|
|
1758
|
"start_time": "2018-06-29T12:31:47.126712Z"
|
|
|
|
1759
|
}
|
|
|
|
1760
|
},
|
|
|
|
1761
|
"outputs": [],
|
|
|
|
1762
|
"source": [
|
|
|
|
1763
|
"!rm /home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/temp/*.png"
|
|
|
|
1764
|
]
|
|
|
|
1765
|
},
|
|
|
|
1766
|
{
|
|
|
|
1767
|
"cell_type": "code",
|
|
|
|
1768
|
"execution_count": 7,
|
|
|
|
1769
|
"metadata": {
|
|
|
|
1770
|
"ExecuteTime": {
|
|
|
|
1771
|
"end_time": "2018-06-29T12:19:51.511148Z",
|
|
|
|
1772
|
"start_time": "2018-06-29T12:19:50.066350Z"
|
|
|
|
1773
|
}
|
|
|
|
1774
|
},
|
|
|
|
1775
|
"outputs": [],
|
|
|
|
1776
|
"source": [
|
|
|
|
1777
|
"res = ResultLoader(\"/home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/20_to_-30_transition.outpout\")\n",
|
|
|
|
1778
|
"res.decomutePackets()\n",
|
|
|
|
1779
|
"res.loadSWF()\n",
|
|
|
|
1780
|
"\n",
|
|
|
|
1781
|
"temperatures = load_temperatures('/home/jeandet/ownCloud/TESTS_LFR_PFM1_PPBI_06_2018/Thermal_Chamber_Logs/Essai du 26 juin 2018.csv', [\"Time\",\"air\",\"PCB\", \"socket\"])\n",
|
|
|
|
1782
|
"times=load_packets_time(\n",
|
|
|
|
1783
|
" sumfile=\"/home/jeandet/Documents/DATA/LFR_Packets/decom/2018_06_26_13_43_35_packet_record.sum\",\n",
|
|
|
|
1784
|
" logfile=\"/home/jeandet/Documents/DATA/LFR_Packets/2018_06_26_13_43_36_packet_log.data\")\n",
|
|
|
|
1785
|
"\n",
|
|
|
|
1786
|
"with open(\"/home/jeandet/Documents/DATA/LFR_Packets/decom/2018_06_26_13_43_35_packet_record_HK.hk\",\"r\") as file:\n",
|
|
|
|
1787
|
" lines=file.readlines()\n",
|
|
|
|
1788
|
" HK_TEMP = lines[6::9] \n",
|
|
|
|
1789
|
" HK_PCB_TEMP = [float(T.split()[1]) for T in HK_TEMP]\n",
|
|
|
|
1790
|
" HK_PCB_TIME = [val['Time'] for val in times[\"HK\"]]\n",
|
|
|
|
1791
|
" HK_TEMP_df = pds.Series(HK_PCB_TEMP, name='PCBTemp',index=pds.DatetimeIndex(HK_PCB_TIME, dtype='datetime64[ns]', freq=None))"
|
|
|
|
1792
|
]
|
|
|
|
1793
|
},
|
|
|
|
1794
|
{
|
|
|
|
1795
|
"cell_type": "code",
|
|
|
|
1796
|
"execution_count": 8,
|
|
|
|
1797
|
"metadata": {
|
|
|
|
1798
|
"ExecuteTime": {
|
|
|
|
1799
|
"end_time": "2018-06-29T12:21:22.921368Z",
|
|
|
|
1800
|
"start_time": "2018-06-29T12:19:52.823753Z"
|
|
|
|
1801
|
},
|
|
|
|
1802
|
"scrolled": true
|
|
|
|
1803
|
},
|
|
|
|
1804
|
"outputs": [],
|
|
|
|
1805
|
"source": [
|
|
|
|
1806
|
"%%capture\n",
|
|
|
|
1807
|
"for i in range(0,res.SWFCount()):\n",
|
|
|
|
1808
|
" f, axes = plt.subplots(nrows=2, ncols=3,figsize=(24,10))\n",
|
|
|
|
1809
|
" df=res.SWF(0,i)\n",
|
|
|
|
1810
|
" for ax,col in zip(axes.flatten(),df.columns):\n",
|
|
|
|
1811
|
" ax.plot(np.arange(2048),df[col])\n",
|
|
|
|
1812
|
" ax.set_ylim(-30000,30000)\n",
|
|
|
|
1813
|
" patches, labels = ax.get_legend_handles_labels()\n",
|
|
|
|
1814
|
" ax.legend(patches, labels, loc='upper left')\n",
|
|
|
|
1815
|
" T = get_temperature_at(temperatures,times[\"SWF0\"][i][\"Time\"]-datetime.timedelta(minutes=4,seconds=10))\n",
|
|
|
|
1816
|
" T_HK = get_temperature_at(HK_TEMP_df,times[\"SWF0\"][i][\"Time\"])\n",
|
|
|
|
1817
|
" suptitle=plt.suptitle(\"Air={T_Air:3.1f}°C PCB(HK)={T_PCB:3.1f}°C socket={T_socket:3.1f}°C\".format(T_Air=T[\"air\"],T_PCB=T_HK,T_socket=T[\"socket\"]),y=1.05, fontsize=24)\n",
|
|
|
|
1818
|
" plt.tight_layout()\n",
|
|
|
|
1819
|
" plt.savefig(\"/home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/temp/\"+\"/plot_{i}.png\".format(i=i),bbox_inches='tight',bbox_extra_artists=[suptitle])\n",
|
|
|
|
1820
|
" plt.close()\n",
|
|
|
|
1821
|
" del axes\n",
|
|
|
|
1822
|
" del f\n",
|
|
|
|
1823
|
" del df\n",
|
|
|
|
1824
|
" del suptitle\n",
|
|
|
|
1825
|
" gc.collect()"
|
|
|
|
1826
|
]
|
|
|
|
1827
|
},
|
|
|
|
1828
|
{
|
|
|
|
1829
|
"cell_type": "code",
|
|
|
|
1830
|
"execution_count": 9,
|
|
|
|
1831
|
"metadata": {
|
|
|
|
1832
|
"ExecuteTime": {
|
|
|
|
1833
|
"end_time": "2018-06-29T12:21:36.884281Z",
|
|
|
|
1834
|
"start_time": "2018-06-29T12:21:25.726250Z"
|
|
|
|
1835
|
}
|
|
|
|
1836
|
},
|
|
|
|
1837
|
"outputs": [],
|
|
|
|
1838
|
"source": [
|
|
|
|
1839
|
"%%capture\n",
|
|
|
|
1840
|
"!cd /home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/temp/ && ffmpeg -y -framerate 15 -i plot_%d.png 20_to_-30_transition.mp4 && ffmpeg -y -i 20_to_-30_transition.mp4 -c:v libvpx-vp9 -b:v 2M -threads 8 20_to_-30_transition.webm"
|
|
|
|
1841
|
]
|
|
|
|
1842
|
},
|
|
|
|
1843
|
{
|
|
|
|
1844
|
"cell_type": "code",
|
|
|
|
1845
|
"execution_count": 15,
|
|
|
|
1846
|
"metadata": {
|
|
|
|
1847
|
"ExecuteTime": {
|
|
|
|
1848
|
"end_time": "2018-06-29T12:25:44.226001Z",
|
|
|
|
1849
|
"start_time": "2018-06-29T12:25:44.219263Z"
|
|
|
|
1850
|
}
|
|
|
|
1851
|
},
|
|
|
|
1852
|
"outputs": [
|
|
|
|
1853
|
{
|
|
|
|
1854
|
"data": {
|
|
|
|
1855
|
"text/html": [
|
|
|
|
1856
|
"<video width=\"90%\" style=\"display:block; margin: 0 auto;\" controls src=\"https://hephaistos.lpp.polytechnique.fr/data/LFR/PPBI_06_2018/20_to_-30_transition.webm\" type=\"video/webm\">"
|
|
|
|
1857
|
],
|
|
|
|
1858
|
"text/plain": [
|
|
|
|
1859
|
"<IPython.core.display.HTML object>"
|
|
|
|
1860
|
]
|
|
|
|
1861
|
},
|
|
|
|
1862
|
"metadata": {},
|
|
|
|
1863
|
"output_type": "display_data"
|
|
|
|
1864
|
}
|
|
|
|
1865
|
],
|
|
|
|
1866
|
"source": [
|
|
|
|
1867
|
"%%HTML\n",
|
|
|
|
1868
|
"<video width=\"90%\" style=\"display:block; margin: 0 auto;\" controls src=\"https://hephaistos.lpp.polytechnique.fr/data/LFR/PPBI_06_2018/20_to_-30_transition.webm\" type=\"video/webm\">"
|
|
|
|
1869
|
]
|
|
|
|
1870
|
},
|
|
|
|
1871
|
{
|
|
|
|
1872
|
"cell_type": "markdown",
|
|
|
|
1873
|
"metadata": {},
|
|
|
|
1874
|
"source": [
|
|
|
|
1875
|
"# -30°C to 20°C transition analysis"
|
|
|
|
1876
|
]
|
|
|
|
1877
|
},
|
|
|
|
1878
|
{
|
|
|
|
1879
|
"cell_type": "code",
|
|
|
|
1880
|
"execution_count": 10,
|
|
|
|
1881
|
"metadata": {
|
|
|
|
1882
|
"ExecuteTime": {
|
|
|
|
1883
|
"end_time": "2018-06-29T12:21:38.812448Z",
|
|
|
|
1884
|
"start_time": "2018-06-29T12:21:38.694283Z"
|
|
|
|
1885
|
}
|
|
|
|
1886
|
},
|
|
|
|
1887
|
"outputs": [],
|
|
|
|
1888
|
"source": [
|
|
|
|
1889
|
"!rm /home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/temp/*.png"
|
|
|
|
1890
|
]
|
|
|
|
1891
|
},
|
|
|
|
1892
|
{
|
|
|
|
1893
|
"cell_type": "code",
|
|
|
|
1894
|
"execution_count": 11,
|
|
|
|
1895
|
"metadata": {
|
|
|
|
1896
|
"ExecuteTime": {
|
|
|
|
1897
|
"end_time": "2018-06-29T12:21:41.747277Z",
|
|
|
|
1898
|
"start_time": "2018-06-29T12:21:40.400048Z"
|
|
|
|
1899
|
}
|
|
|
|
1900
|
},
|
|
|
|
1901
|
"outputs": [],
|
|
|
|
1902
|
"source": [
|
|
|
|
1903
|
"res = ResultLoader(\"/home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/-30_to_20_transition.outpout\")\n",
|
|
|
|
1904
|
"res.decomutePackets()\n",
|
|
|
|
1905
|
"res.loadSWF()\n",
|
|
|
|
1906
|
"temperatures = load_temperatures('/home/jeandet/ownCloud/TESTS_LFR_PFM1_PPBI_06_2018/Thermal_Chamber_Logs/Essai du 26 juin 2018.csv', [\"Time\",\"air\",\"PCB\", \"socket\"])\n",
|
|
|
|
1907
|
"times=load_packets_time(\n",
|
|
|
|
1908
|
" sumfile=\"/home/jeandet/Documents/DATA/LFR_Packets/decom/2018_06_26_15_00_52_packet_record.sum\",\n",
|
|
|
|
1909
|
" logfile=\"/home/jeandet/Documents/DATA/LFR_Packets/2018_06_26_15_00_51_packet_log.data\")\n",
|
|
|
|
1910
|
"\n",
|
|
|
|
1911
|
"\n",
|
|
|
|
1912
|
"with open(\"/home/jeandet/Documents/DATA/LFR_Packets/decom/2018_06_26_15_00_52_packet_record_HK.hk\",\"r\") as file:\n",
|
|
|
|
1913
|
" lines=file.readlines()\n",
|
|
|
|
1914
|
" HK_TEMP = lines[6::9] \n",
|
|
|
|
1915
|
" HK_PCB_TEMP = [float(T.split()[1]) for T in HK_TEMP]\n",
|
|
|
|
1916
|
" HK_PCB_TIME = [val['Time'] for val in times[\"HK\"]]\n",
|
|
|
|
1917
|
" HK_TEMP_df = pds.Series(HK_PCB_TEMP, name='PCBTemp',index=pds.DatetimeIndex(HK_PCB_TIME, dtype='datetime64[ns]', freq=None))"
|
|
|
|
1918
|
]
|
|
|
|
1919
|
},
|
|
|
|
1920
|
{
|
|
|
|
1921
|
"cell_type": "code",
|
|
|
|
1922
|
"execution_count": 12,
|
|
|
|
1923
|
"metadata": {
|
|
|
|
1924
|
"ExecuteTime": {
|
|
|
|
1925
|
"end_time": "2018-06-29T12:23:08.428149Z",
|
|
|
|
1926
|
"start_time": "2018-06-29T12:21:43.373905Z"
|
|
|
|
1927
|
},
|
|
|
|
1928
|
"scrolled": true
|
|
|
|
1929
|
},
|
|
|
|
1930
|
"outputs": [],
|
|
|
|
1931
|
"source": [
|
|
|
|
1932
|
"%%capture\n",
|
|
|
|
1933
|
"for i in range(0,res.SWFCount()):\n",
|
|
|
|
1934
|
" f, axes = plt.subplots(nrows=2, ncols=3,figsize=(24,10))\n",
|
|
|
|
1935
|
" df=res.SWF(0,i)\n",
|
|
|
|
1936
|
" for ax,col in zip(axes.flatten(),df.columns):\n",
|
|
|
|
1937
|
" ax.plot(np.arange(2048),df[col])\n",
|
|
|
|
1938
|
" ax.set_ylim(-30000,30000)\n",
|
|
|
|
1939
|
" patches, labels = ax.get_legend_handles_labels()\n",
|
|
|
|
1940
|
" ax.legend(patches, labels, loc='upper left')\n",
|
|
|
|
1941
|
" T = get_temperature_at(temperatures,times[\"SWF0\"][i][\"Time\"]-datetime.timedelta(minutes=4,seconds=10))\n",
|
|
|
|
1942
|
" T_HK = get_temperature_at(HK_TEMP_df,times[\"SWF0\"][i][\"Time\"])\n",
|
|
|
|
1943
|
" suptitle=plt.suptitle(\"Air={T_Air:3.1f}°C PCB(HK)={T_PCB:3.1f}°C socket={T_socket:3.1f}°C\".format(T_Air=T[\"air\"],T_PCB=T_HK,T_socket=T[\"socket\"]),y=1.05, fontsize=24)\n",
|
|
|
|
1944
|
" plt.tight_layout()\n",
|
|
|
|
1945
|
" plt.savefig(\"/home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/temp/\"+\"/plot_{i}.png\".format(i=i),bbox_inches='tight',bbox_extra_artists=[suptitle])\n",
|
|
|
|
1946
|
" plt.close()\n",
|
|
|
|
1947
|
" del axes\n",
|
|
|
|
1948
|
" del f\n",
|
|
|
|
1949
|
" del df\n",
|
|
|
|
1950
|
" del suptitle\n",
|
|
|
|
1951
|
" gc.collect()"
|
|
|
|
1952
|
]
|
|
|
|
1953
|
},
|
|
|
|
1954
|
{
|
|
|
|
1955
|
"cell_type": "code",
|
|
|
|
1956
|
"execution_count": 13,
|
|
|
|
1957
|
"metadata": {
|
|
|
|
1958
|
"ExecuteTime": {
|
|
|
|
1959
|
"end_time": "2018-06-29T12:24:22.887029Z",
|
|
|
|
1960
|
"start_time": "2018-06-29T12:24:11.457143Z"
|
|
|
|
1961
|
}
|
|
|
|
1962
|
},
|
|
|
|
1963
|
"outputs": [],
|
|
|
|
1964
|
"source": [
|
|
|
|
1965
|
"%%capture\n",
|
|
|
|
1966
|
"!cd /home/jeandet/Documents/SOLO_LFR_Notebooks/PPBI_06_2018/temp/ && ffmpeg -y -framerate 15 -i plot_%d.png minus30_to_20_transition.mp4 && ffmpeg -y -i minus30_to_20_transition.mp4 -c:v libvpx-vp9 -b:v 2M -threads 8 minus30_to_20_transition.webm"
|
|
|
|
1967
|
]
|
|
|
|
1968
|
},
|
|
|
|
1969
|
{
|
|
|
|
1970
|
"cell_type": "code",
|
|
|
|
1971
|
"execution_count": 14,
|
|
|
|
1972
|
"metadata": {
|
|
|
|
1973
|
"ExecuteTime": {
|
|
|
|
1974
|
"end_time": "2018-06-29T12:25:16.067271Z",
|
|
|
|
1975
|
"start_time": "2018-06-29T12:25:16.062111Z"
|
|
|
|
1976
|
}
|
|
|
|
1977
|
},
|
|
|
|
1978
|
"outputs": [
|
|
|
|
1979
|
{
|
|
|
|
1980
|
"data": {
|
|
|
|
1981
|
"text/html": [
|
|
|
|
1982
|
"<video width=\"90%\" style=\"display:block; margin: 0 auto;\" controls src=\"https://hephaistos.lpp.polytechnique.fr/data/LFR/PPBI_06_2018/minus30_to_20_transition.webm\" type=\"video/webm\">"
|
|
|
|
1983
|
],
|
|
|
|
1984
|
"text/plain": [
|
|
|
|
1985
|
"<IPython.core.display.HTML object>"
|
|
|
|
1986
|
]
|
|
|
|
1987
|
},
|
|
|
|
1988
|
"metadata": {},
|
|
|
|
1989
|
"output_type": "display_data"
|
|
|
|
1990
|
}
|
|
|
|
1991
|
],
|
|
|
|
1992
|
"source": [
|
|
|
|
1993
|
"%%HTML\n",
|
|
|
|
1994
|
"<video width=\"90%\" style=\"display:block; margin: 0 auto;\" controls src=\"https://hephaistos.lpp.polytechnique.fr/data/LFR/PPBI_06_2018/minus30_to_20_transition.webm\" type=\"video/webm\">"
|
|
|
|
1995
|
]
|
|
|
|
1996
|
},
|
|
|
|
1997
|
{
|
|
|
|
1998
|
"cell_type": "code",
|
|
|
|
1999
|
"execution_count": null,
|
|
|
|
2000
|
"metadata": {},
|
|
|
|
2001
|
"outputs": [],
|
|
|
|
2002
|
"source": []
|
|
|
|
2003
|
}
|
|
|
|
2004
|
],
|
|
|
|
2005
|
"metadata": {
|
|
|
|
2006
|
"kernelspec": {
|
|
|
|
2007
|
"display_name": "Python 3",
|
|
|
|
2008
|
"language": "python",
|
|
|
|
2009
|
"name": "python3"
|
|
|
|
2010
|
},
|
|
|
|
2011
|
"language_info": {
|
|
|
|
2012
|
"codemirror_mode": {
|
|
|
|
2013
|
"name": "ipython",
|
|
|
|
2014
|
"version": 3
|
|
|
|
2015
|
},
|
|
|
|
2016
|
"file_extension": ".py",
|
|
|
|
2017
|
"mimetype": "text/x-python",
|
|
|
|
2018
|
"name": "python",
|
|
|
|
2019
|
"nbconvert_exporter": "python",
|
|
|
|
2020
|
"pygments_lexer": "ipython3",
|
|
|
|
2021
|
"version": "3.6.5"
|
|
|
|
2022
|
},
|
|
|
|
2023
|
"toc": {
|
|
|
|
2024
|
"colors": {
|
|
|
|
2025
|
"hover_highlight": "#DAA520",
|
|
|
|
2026
|
"navigate_num": "#000000",
|
|
|
|
2027
|
"navigate_text": "#333333",
|
|
|
|
2028
|
"running_highlight": "#FF0000",
|
|
|
|
2029
|
"selected_highlight": "#FFD700",
|
|
|
|
2030
|
"sidebar_border": "#EEEEEE",
|
|
|
|
2031
|
"wrapper_background": "#FFFFFF"
|
|
|
|
2032
|
},
|
|
|
|
2033
|
"moveMenuLeft": true,
|
|
|
|
2034
|
"nav_menu": {
|
|
|
|
2035
|
"height": "12px",
|
|
|
|
2036
|
"width": "252px"
|
|
|
|
2037
|
},
|
|
|
|
2038
|
"navigate_menu": true,
|
|
|
|
2039
|
"number_sections": true,
|
|
|
|
2040
|
"sideBar": true,
|
|
|
|
2041
|
"threshold": 4,
|
|
|
|
2042
|
"toc_cell": false,
|
|
|
|
2043
|
"toc_section_display": "block",
|
|
|
|
2044
|
"toc_window_display": false,
|
|
|
|
2045
|
"widenNotebook": false
|
|
|
|
2046
|
},
|
|
|
|
2047
|
"varInspector": {
|
|
|
|
2048
|
"cols": {
|
|
|
|
2049
|
"lenName": 16,
|
|
|
|
2050
|
"lenType": 16,
|
|
|
|
2051
|
"lenVar": 40
|
|
|
|
2052
|
},
|
|
|
|
2053
|
"kernels_config": {
|
|
|
|
2054
|
"python": {
|
|
|
|
2055
|
"delete_cmd_postfix": "",
|
|
|
|
2056
|
"delete_cmd_prefix": "del ",
|
|
|
|
2057
|
"library": "var_list.py",
|
|
|
|
2058
|
"varRefreshCmd": "print(var_dic_list())"
|
|
|
|
2059
|
},
|
|
|
|
2060
|
"r": {
|
|
|
|
2061
|
"delete_cmd_postfix": ") ",
|
|
|
|
2062
|
"delete_cmd_prefix": "rm(",
|
|
|
|
2063
|
"library": "var_list.r",
|
|
|
|
2064
|
"varRefreshCmd": "cat(var_dic_list()) "
|
|
|
|
2065
|
}
|
|
|
|
2066
|
},
|
|
|
|
2067
|
"types_to_exclude": [
|
|
|
|
2068
|
"module",
|
|
|
|
2069
|
"function",
|
|
|
|
2070
|
"builtin_function_or_method",
|
|
|
|
2071
|
"instance",
|
|
|
|
2072
|
"_Feature"
|
|
|
|
2073
|
],
|
|
|
|
2074
|
"window_display": false
|
|
|
|
2075
|
}
|
|
|
|
2076
|
},
|
|
|
|
2077
|
"nbformat": 4,
|
|
|
|
2078
|
"nbformat_minor": 2
|
|
|
|
2079
|
}
|
