955 lines
180 KiB
Plaintext
955 lines
180 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"#from bsread import source, Source\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"from IPython.display import clear_output, display\n",
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"from datetime import datetime\n",
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"import epics\n",
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"from epics import caput, PV, caget\n",
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"import h5py\n",
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"import time\n",
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"import os\n",
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"from scipy import optimize\n",
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"from scipy.signal import find_peaks\n",
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"import sys\n",
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"from bstrd import BS, bsstream"
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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": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING:bsread.data.helpers:'type' channel field not found. Parse as 64-bit floating-point number float64 (default).\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"add channel SAROP11-PBPS110:XPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:XPOS\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING:bsread.data.helpers:'type' channel field not found. Parse as 64-bit floating-point number float64 (default).\n",
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"WARNING:bsread.data.helpers:'type' channel field not found. Parse as 64-bit floating-point number float64 (default).\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"add channel SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n",
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"dropping data that is missing new channel: SAROP11-PBPS110:YPOS\n"
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]
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}
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],
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"source": [
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"#ch_xpos = 'SARFE10-PBPS053:XPOS'\n",
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"#ch_ypos = 'SARFE10-PBPS053:YPOS'\n",
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"ch_xpos = 'SAROP11-PBPS110:XPOS'\n",
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"ch_ypos = 'SAROP11-PBPS110:YPOS'\n",
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"bs_xpos = BS(ch_xpos)\n",
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"bs_ypos = BS(ch_ypos)"
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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": 101,
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"metadata": {},
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"outputs": [],
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"source": [
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"nshots = 1000\n",
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"dat_xpos = np.empty(nshots)\n",
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"dat_ypos = np.empty(nshots)\n",
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"#dat_wI = np.empty(nshots)\n",
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"\n",
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"for i in range(nshots):\n",
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" dat_xpos[i] = bs_xpos.get()\n",
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" dat_ypos[i] = bs_ypos.get()\n",
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" #dat_wI[i] = bs_wI.get()\n",
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" next(bsstream) # this gets the next set of data"
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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": 102,
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"metadata": {
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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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"\n",
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" this.waiting = false;\n",
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"\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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"\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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"\n",
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"\n",
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"\n",
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"mpl.figure.prototype._canvas_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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"\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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"\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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" }\n",
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"\n",
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" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
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" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
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" this.canvas_div = canvas_div\n",
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" this._canvas_extra_style(canvas_div)\n",
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" this.root.append(canvas_div);\n",
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"\n",
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" var canvas = $('<canvas/>');\n",
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" canvas.addClass('mpl-canvas');\n",
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" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
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"\n",
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" this.canvas = canvas[0];\n",
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" this.context = canvas[0].getContext(\"2d\");\n",
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"\n",
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" var backingStore = this.context.backingStorePixelRatio ||\n",
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"\tthis.context.webkitBackingStorePixelRatio ||\n",
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"\tthis.context.mozBackingStorePixelRatio ||\n",
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"\tthis.context.msBackingStorePixelRatio ||\n",
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"\tthis.context.oBackingStorePixelRatio ||\n",
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"\tthis.context.backingStorePixelRatio || 1;\n",
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"\n",
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" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
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"\n",
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" var rubberband = $('<canvas/>');\n",
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" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
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"\n",
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" var pass_mouse_events = true;\n",
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"\n",
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" canvas_div.resizable({\n",
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" start: function(event, ui) {\n",
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" pass_mouse_events = false;\n",
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" },\n",
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" resize: function(event, ui) {\n",
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" fig.request_resize(ui.size.width, ui.size.height);\n",
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" },\n",
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" stop: function(event, ui) {\n",
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" pass_mouse_events = true;\n",
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" fig.request_resize(ui.size.width, ui.size.height);\n",
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" },\n",
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" });\n",
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"\n",
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" function mouse_event_fn(event) {\n",
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" if (pass_mouse_events)\n",
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" return fig.mouse_event(event, event['data']);\n",
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" }\n",
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"\n",
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" rubberband.mousedown('button_press', mouse_event_fn);\n",
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" rubberband.mouseup('button_release', mouse_event_fn);\n",
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" // Throttle sequential mouse events to 1 every 20ms.\n",
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" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
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"\n",
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" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
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" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
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"\n",
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" canvas_div.on(\"wheel\", function (event) {\n",
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" event = event.originalEvent;\n",
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" event['data'] = 'scroll'\n",
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" if (event.deltaY < 0) {\n",
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" event.step = 1;\n",
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" } else {\n",
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" event.step = -1;\n",
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" }\n",
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" mouse_event_fn(event);\n",
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" });\n",
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"\n",
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" canvas_div.append(canvas);\n",
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" canvas_div.append(rubberband);\n",
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"\n",
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" this.rubberband = rubberband;\n",
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" this.rubberband_canvas = rubberband[0];\n",
|
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" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
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" this.rubberband_context.strokeStyle = \"#000000\";\n",
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"\n",
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" this._resize_canvas = function(width, height) {\n",
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" // Keep the size of the canvas, canvas container, and rubber band\n",
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" // canvas in synch.\n",
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" canvas_div.css('width', width)\n",
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" canvas_div.css('height', height)\n",
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"\n",
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" canvas.attr('width', width * mpl.ratio);\n",
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" canvas.attr('height', height * mpl.ratio);\n",
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" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
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"\n",
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" rubberband.attr('width', width);\n",
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" rubberband.attr('height', height);\n",
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" }\n",
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"\n",
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" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
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" // upon first draw.\n",
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" this._resize_canvas(600, 600);\n",
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"\n",
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" // Disable right mouse context menu.\n",
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" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
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" return false;\n",
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" });\n",
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"\n",
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" function set_focus () {\n",
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" canvas.focus();\n",
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" canvas_div.focus();\n",
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" }\n",
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"\n",
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" window.setTimeout(set_focus, 100);\n",
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"}\n",
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"\n",
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"mpl.figure.prototype._init_toolbar = function() {\n",
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" var fig = this;\n",
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"\n",
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" var nav_element = $('<div/>')\n",
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" nav_element.attr('style', 'width: 100%');\n",
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" this.root.append(nav_element);\n",
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"\n",
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" // Define a callback function for later on.\n",
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" function toolbar_event(event) {\n",
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" return fig.toolbar_button_onclick(event['data']);\n",
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" }\n",
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" function toolbar_mouse_event(event) {\n",
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" return fig.toolbar_button_onmouseover(event['data']);\n",
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" }\n",
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"\n",
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" for(var toolbar_ind in mpl.toolbar_items) {\n",
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" var name = mpl.toolbar_items[toolbar_ind][0];\n",
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" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
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" var image = mpl.toolbar_items[toolbar_ind][2];\n",
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" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
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"\n",
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" if (!name) {\n",
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" // put a spacer in here.\n",
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" continue;\n",
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" }\n",
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" var button = $('<button/>');\n",
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" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
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" 'ui-button-icon-only');\n",
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" button.attr('role', 'button');\n",
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" button.attr('aria-disabled', 'false');\n",
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" button.click(method_name, toolbar_event);\n",
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" button.mouseover(tooltip, toolbar_mouse_event);\n",
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"\n",
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" var icon_img = $('<span/>');\n",
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" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
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" icon_img.addClass(image);\n",
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" icon_img.addClass('ui-corner-all');\n",
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"\n",
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" var tooltip_span = $('<span/>');\n",
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" tooltip_span.addClass('ui-button-text');\n",
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" tooltip_span.html(tooltip);\n",
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"\n",
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" button.append(icon_img);\n",
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" button.append(tooltip_span);\n",
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"\n",
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" nav_element.append(button);\n",
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" }\n",
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"\n",
|
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" var fmt_picker_span = $('<span/>');\n",
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"\n",
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" var fmt_picker = $('<select/>');\n",
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" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
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" fmt_picker_span.append(fmt_picker);\n",
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" nav_element.append(fmt_picker_span);\n",
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" this.format_dropdown = fmt_picker[0];\n",
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"\n",
|
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" for (var ind in mpl.extensions) {\n",
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" var fmt = mpl.extensions[ind];\n",
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" var option = $(\n",
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" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
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" fmt_picker.append(option)\n",
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" }\n",
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"\n",
|
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" // Add hover states to the ui-buttons\n",
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" $( \".ui-button\" ).hover(\n",
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" function() { $(this).addClass(\"ui-state-hover\");},\n",
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" function() { $(this).removeClass(\"ui-state-hover\");}\n",
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" );\n",
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"\n",
|
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" var status_bar = $('<span class=\"mpl-message\"/>');\n",
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" nav_element.append(status_bar);\n",
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" this.message = status_bar[0];\n",
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"}\n",
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"\n",
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"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
|
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" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
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" // which will in turn request a refresh of the image.\n",
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" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
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"}\n",
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"\n",
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"mpl.figure.prototype.send_message = function(type, properties) {\n",
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" properties['type'] = type;\n",
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" properties['figure_id'] = this.id;\n",
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" this.ws.send(JSON.stringify(properties));\n",
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"}\n",
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"\n",
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"mpl.figure.prototype.send_draw_message = function() {\n",
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" if (!this.waiting) {\n",
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" this.waiting = true;\n",
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" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
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" }\n",
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"}\n",
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"\n",
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"\n",
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"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
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" var format_dropdown = fig.format_dropdown;\n",
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" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
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" fig.ondownload(fig, format);\n",
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"}\n",
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"\n",
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"\n",
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"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
|
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" var size = msg['size'];\n",
|
|
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
|
|
" fig._resize_canvas(size[0], size[1]);\n",
|
|
" fig.send_message(\"refresh\", {});\n",
|
|
" };\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
|
|
" var x0 = msg['x0'] / mpl.ratio;\n",
|
|
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
|
|
" var x1 = msg['x1'] / mpl.ratio;\n",
|
|
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
|
|
" x0 = Math.floor(x0) + 0.5;\n",
|
|
" y0 = Math.floor(y0) + 0.5;\n",
|
|
" x1 = Math.floor(x1) + 0.5;\n",
|
|
" y1 = Math.floor(y1) + 0.5;\n",
|
|
" var min_x = Math.min(x0, x1);\n",
|
|
" var min_y = Math.min(y0, y1);\n",
|
|
" var width = Math.abs(x1 - x0);\n",
|
|
" var height = Math.abs(y1 - y0);\n",
|
|
"\n",
|
|
" fig.rubberband_context.clearRect(\n",
|
|
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
|
|
"\n",
|
|
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
|
|
" // Updates the figure title.\n",
|
|
" fig.header.textContent = msg['label'];\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
|
|
" var cursor = msg['cursor'];\n",
|
|
" switch(cursor)\n",
|
|
" {\n",
|
|
" case 0:\n",
|
|
" cursor = 'pointer';\n",
|
|
" break;\n",
|
|
" case 1:\n",
|
|
" cursor = 'default';\n",
|
|
" break;\n",
|
|
" case 2:\n",
|
|
" cursor = 'crosshair';\n",
|
|
" break;\n",
|
|
" case 3:\n",
|
|
" cursor = 'move';\n",
|
|
" break;\n",
|
|
" }\n",
|
|
" fig.rubberband_canvas.style.cursor = cursor;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
|
|
" fig.message.textContent = msg['message'];\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
|
|
" // Request the server to send over a new figure.\n",
|
|
" fig.send_draw_message();\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
|
|
" fig.image_mode = msg['mode'];\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.updated_canvas_event = function() {\n",
|
|
" // Called whenever the canvas gets updated.\n",
|
|
" this.send_message(\"ack\", {});\n",
|
|
"}\n",
|
|
"\n",
|
|
"// A function to construct a web socket function for onmessage handling.\n",
|
|
"// Called in the figure constructor.\n",
|
|
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
|
|
" return function socket_on_message(evt) {\n",
|
|
" if (evt.data instanceof Blob) {\n",
|
|
" /* FIXME: We get \"Resource interpreted as Image but\n",
|
|
" * transferred with MIME type text/plain:\" errors on\n",
|
|
" * Chrome. But how to set the MIME type? It doesn't seem\n",
|
|
" * to be part of the websocket stream */\n",
|
|
" evt.data.type = \"image/png\";\n",
|
|
"\n",
|
|
" /* Free the memory for the previous frames */\n",
|
|
" if (fig.imageObj.src) {\n",
|
|
" (window.URL || window.webkitURL).revokeObjectURL(\n",
|
|
" fig.imageObj.src);\n",
|
|
" }\n",
|
|
"\n",
|
|
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
|
|
" evt.data);\n",
|
|
" fig.updated_canvas_event();\n",
|
|
" fig.waiting = false;\n",
|
|
" return;\n",
|
|
" }\n",
|
|
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
|
|
" fig.imageObj.src = evt.data;\n",
|
|
" fig.updated_canvas_event();\n",
|
|
" fig.waiting = false;\n",
|
|
" return;\n",
|
|
" }\n",
|
|
"\n",
|
|
" var msg = JSON.parse(evt.data);\n",
|
|
" var msg_type = msg['type'];\n",
|
|
"\n",
|
|
" // Call the \"handle_{type}\" callback, which takes\n",
|
|
" // the figure and JSON message as its only arguments.\n",
|
|
" try {\n",
|
|
" var callback = fig[\"handle_\" + msg_type];\n",
|
|
" } catch (e) {\n",
|
|
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
|
|
" return;\n",
|
|
" }\n",
|
|
"\n",
|
|
" if (callback) {\n",
|
|
" try {\n",
|
|
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
|
|
" callback(fig, msg);\n",
|
|
" } catch (e) {\n",
|
|
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
|
|
" }\n",
|
|
" }\n",
|
|
" };\n",
|
|
"}\n",
|
|
"\n",
|
|
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
|
|
"mpl.findpos = function(e) {\n",
|
|
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
|
|
" var targ;\n",
|
|
" if (!e)\n",
|
|
" e = window.event;\n",
|
|
" if (e.target)\n",
|
|
" targ = e.target;\n",
|
|
" else if (e.srcElement)\n",
|
|
" targ = e.srcElement;\n",
|
|
" if (targ.nodeType == 3) // defeat Safari bug\n",
|
|
" targ = targ.parentNode;\n",
|
|
"\n",
|
|
" // jQuery normalizes the pageX and pageY\n",
|
|
" // pageX,Y are the mouse positions relative to the document\n",
|
|
" // offset() returns the position of the element relative to the document\n",
|
|
" var x = e.pageX - $(targ).offset().left;\n",
|
|
" var y = e.pageY - $(targ).offset().top;\n",
|
|
"\n",
|
|
" return {\"x\": x, \"y\": y};\n",
|
|
"};\n",
|
|
"\n",
|
|
"/*\n",
|
|
" * return a copy of an object with only non-object keys\n",
|
|
" * we need this to avoid circular references\n",
|
|
" * http://stackoverflow.com/a/24161582/3208463\n",
|
|
" */\n",
|
|
"function simpleKeys (original) {\n",
|
|
" return Object.keys(original).reduce(function (obj, key) {\n",
|
|
" if (typeof original[key] !== 'object')\n",
|
|
" obj[key] = original[key]\n",
|
|
" return obj;\n",
|
|
" }, {});\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
|
|
" var canvas_pos = mpl.findpos(event)\n",
|
|
"\n",
|
|
" if (name === 'button_press')\n",
|
|
" {\n",
|
|
" this.canvas.focus();\n",
|
|
" this.canvas_div.focus();\n",
|
|
" }\n",
|
|
"\n",
|
|
" var x = canvas_pos.x * mpl.ratio;\n",
|
|
" var y = canvas_pos.y * mpl.ratio;\n",
|
|
"\n",
|
|
" this.send_message(name, {x: x, y: y, button: event.button,\n",
|
|
" step: event.step,\n",
|
|
" guiEvent: simpleKeys(event)});\n",
|
|
"\n",
|
|
" /* This prevents the web browser from automatically changing to\n",
|
|
" * the text insertion cursor when the button is pressed. We want\n",
|
|
" * to control all of the cursor setting manually through the\n",
|
|
" * 'cursor' event from matplotlib */\n",
|
|
" event.preventDefault();\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
|
|
" // Handle any extra behaviour associated with a key event\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.key_event = function(event, name) {\n",
|
|
"\n",
|
|
" // Prevent repeat events\n",
|
|
" if (name == 'key_press')\n",
|
|
" {\n",
|
|
" if (event.which === this._key)\n",
|
|
" return;\n",
|
|
" else\n",
|
|
" this._key = event.which;\n",
|
|
" }\n",
|
|
" if (name == 'key_release')\n",
|
|
" this._key = null;\n",
|
|
"\n",
|
|
" var value = '';\n",
|
|
" if (event.ctrlKey && event.which != 17)\n",
|
|
" value += \"ctrl+\";\n",
|
|
" if (event.altKey && event.which != 18)\n",
|
|
" value += \"alt+\";\n",
|
|
" if (event.shiftKey && event.which != 16)\n",
|
|
" value += \"shift+\";\n",
|
|
"\n",
|
|
" value += 'k';\n",
|
|
" value += event.which.toString();\n",
|
|
"\n",
|
|
" this._key_event_extra(event, name);\n",
|
|
"\n",
|
|
" this.send_message(name, {key: value,\n",
|
|
" guiEvent: simpleKeys(event)});\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
|
|
" if (name == 'download') {\n",
|
|
" this.handle_save(this, null);\n",
|
|
" } else {\n",
|
|
" this.send_message(\"toolbar_button\", {name: name});\n",
|
|
" }\n",
|
|
"};\n",
|
|
"\n",
|
|
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
|
|
" this.message.textContent = tooltip;\n",
|
|
"};\n",
|
|
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
|
|
"\n",
|
|
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
|
|
"\n",
|
|
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
|
|
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
|
|
" // object with the appropriate methods. Currently this is a non binary\n",
|
|
" // socket, so there is still some room for performance tuning.\n",
|
|
" var ws = {};\n",
|
|
"\n",
|
|
" ws.close = function() {\n",
|
|
" comm.close()\n",
|
|
" };\n",
|
|
" ws.send = function(m) {\n",
|
|
" //console.log('sending', m);\n",
|
|
" comm.send(m);\n",
|
|
" };\n",
|
|
" // Register the callback with on_msg.\n",
|
|
" comm.on_msg(function(msg) {\n",
|
|
" //console.log('receiving', msg['content']['data'], msg);\n",
|
|
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
|
|
" ws.onmessage(msg['content']['data'])\n",
|
|
" });\n",
|
|
" return ws;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.mpl_figure_comm = function(comm, msg) {\n",
|
|
" // This is the function which gets called when the mpl process\n",
|
|
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
|
|
"\n",
|
|
" var id = msg.content.data.id;\n",
|
|
" // Get hold of the div created by the display call when the Comm\n",
|
|
" // socket was opened in Python.\n",
|
|
" var element = $(\"#\" + id);\n",
|
|
" var ws_proxy = comm_websocket_adapter(comm)\n",
|
|
"\n",
|
|
" function ondownload(figure, format) {\n",
|
|
" window.open(figure.imageObj.src);\n",
|
|
" }\n",
|
|
"\n",
|
|
" var fig = new mpl.figure(id, ws_proxy,\n",
|
|
" ondownload,\n",
|
|
" element.get(0));\n",
|
|
"\n",
|
|
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
|
|
" // web socket which is closed, not our websocket->open comm proxy.\n",
|
|
" ws_proxy.onopen();\n",
|
|
"\n",
|
|
" fig.parent_element = element.get(0);\n",
|
|
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
|
|
" if (!fig.cell_info) {\n",
|
|
" console.error(\"Failed to find cell for figure\", id, fig);\n",
|
|
" return;\n",
|
|
" }\n",
|
|
"\n",
|
|
" var output_index = fig.cell_info[2]\n",
|
|
" var cell = fig.cell_info[0];\n",
|
|
"\n",
|
|
"};\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
|
|
" var width = fig.canvas.width/mpl.ratio\n",
|
|
" fig.root.unbind('remove')\n",
|
|
"\n",
|
|
" // Update the output cell to use the data from the current canvas.\n",
|
|
" fig.push_to_output();\n",
|
|
" var dataURL = fig.canvas.toDataURL();\n",
|
|
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
|
|
" // the notebook keyboard shortcuts fail.\n",
|
|
" IPython.keyboard_manager.enable()\n",
|
|
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
|
|
" fig.close_ws(fig, msg);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
|
|
" fig.send_message('closing', msg);\n",
|
|
" // fig.ws.close()\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
|
|
" // Turn the data on the canvas into data in the output cell.\n",
|
|
" var width = this.canvas.width/mpl.ratio\n",
|
|
" var dataURL = this.canvas.toDataURL();\n",
|
|
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.updated_canvas_event = function() {\n",
|
|
" // Tell IPython that the notebook contents must change.\n",
|
|
" IPython.notebook.set_dirty(true);\n",
|
|
" this.send_message(\"ack\", {});\n",
|
|
" var fig = this;\n",
|
|
" // Wait a second, then push the new image to the DOM so\n",
|
|
" // that it is saved nicely (might be nice to debounce this).\n",
|
|
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var nav_element = $('<div/>')\n",
|
|
" nav_element.attr('style', 'width: 100%');\n",
|
|
" this.root.append(nav_element);\n",
|
|
"\n",
|
|
" // Define a callback function for later on.\n",
|
|
" function toolbar_event(event) {\n",
|
|
" return fig.toolbar_button_onclick(event['data']);\n",
|
|
" }\n",
|
|
" function toolbar_mouse_event(event) {\n",
|
|
" return fig.toolbar_button_onmouseover(event['data']);\n",
|
|
" }\n",
|
|
"\n",
|
|
" for(var toolbar_ind in mpl.toolbar_items){\n",
|
|
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
|
|
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
|
|
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
|
|
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
|
|
"\n",
|
|
" if (!name) { continue; };\n",
|
|
"\n",
|
|
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
|
|
" button.click(method_name, toolbar_event);\n",
|
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
" nav_element.append(button);\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Add the status bar.\n",
|
|
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"\n",
|
|
" // Add the close button to the window.\n",
|
|
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
|
|
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
|
|
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
|
|
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
|
|
" buttongrp.append(button);\n",
|
|
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
|
|
" titlebar.prepend(buttongrp);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._root_extra_style = function(el){\n",
|
|
" var fig = this\n",
|
|
" el.on(\"remove\", function(){\n",
|
|
"\tfig.close_ws(fig, {});\n",
|
|
" });\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
|
|
" // this is important to make the div 'focusable\n",
|
|
" el.attr('tabindex', 0)\n",
|
|
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
|
|
" // off when our div gets focus\n",
|
|
"\n",
|
|
" // location in version 3\n",
|
|
" if (IPython.notebook.keyboard_manager) {\n",
|
|
" IPython.notebook.keyboard_manager.register_events(el);\n",
|
|
" }\n",
|
|
" else {\n",
|
|
" // location in version 2\n",
|
|
" IPython.keyboard_manager.register_events(el);\n",
|
|
" }\n",
|
|
"\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
|
|
" var manager = IPython.notebook.keyboard_manager;\n",
|
|
" if (!manager)\n",
|
|
" manager = IPython.keyboard_manager;\n",
|
|
"\n",
|
|
" // Check for shift+enter\n",
|
|
" if (event.shiftKey && event.which == 13) {\n",
|
|
" this.canvas_div.blur();\n",
|
|
" event.shiftKey = false;\n",
|
|
" // Send a \"J\" for go to next cell\n",
|
|
" event.which = 74;\n",
|
|
" event.keyCode = 74;\n",
|
|
" manager.command_mode();\n",
|
|
" manager.handle_keydown(event);\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
" fig.ondownload(fig, null);\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.find_output_cell = function(html_output) {\n",
|
|
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
|
|
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
|
|
" // IPython event is triggered only after the cells have been serialised, which for\n",
|
|
" // our purposes (turning an active figure into a static one), is too late.\n",
|
|
" var cells = IPython.notebook.get_cells();\n",
|
|
" var ncells = cells.length;\n",
|
|
" for (var i=0; i<ncells; i++) {\n",
|
|
" var cell = cells[i];\n",
|
|
" if (cell.cell_type === 'code'){\n",
|
|
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
|
|
" var data = cell.output_area.outputs[j];\n",
|
|
" if (data.data) {\n",
|
|
" // IPython >= 3 moved mimebundle to data attribute of output\n",
|
|
" data = data.data;\n",
|
|
" }\n",
|
|
" if (data['text/html'] == html_output) {\n",
|
|
" return [cell, data, j];\n",
|
|
" }\n",
|
|
" }\n",
|
|
" }\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"// Register the function which deals with the matplotlib target/channel.\n",
|
|
"// The kernel may be null if the page has been refreshed.\n",
|
|
"if (IPython.notebook.kernel != null) {\n",
|
|
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
|
|
"}\n"
|
|
],
|
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"text/plain": [
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"<IPython.core.display.Javascript object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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\" width=\"640\">"
|
|
],
|
|
"text/plain": [
|
|
"<IPython.core.display.HTML object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"%matplotlib nbagg\n",
|
|
"x=np.arange(0,100,0.05)\n",
|
|
"valsdiode = np.hstack((dat_xpos-np.mean(dat_xpos), np.zeros_like(dat_xpos)))\n",
|
|
"vals2diode = np.hstack((dat_ypos-np.mean(dat_ypos), np.zeros_like(dat_ypos)))\n",
|
|
"powerx = np.abs(np.fft.fft(valsdiode))**2\n",
|
|
"powery = np.abs(np.fft.fft(vals2diode))**2\n",
|
|
"\n",
|
|
"fig, axs = plt.subplots(2, 1)\n",
|
|
"axs[0].plot(valsdiode)\n",
|
|
"axs[0].plot(vals2diode-0.1)\n",
|
|
"axs[0].set_xlim(0,1000)\n",
|
|
"axs[0].set_xlabel('shots at 100 Hz')\n",
|
|
"axs[0].set_ylabel('position in $\\mu m$')\n",
|
|
"axs[0].grid(True, linestyle='--')\n",
|
|
"\n",
|
|
"axs[1].plot(x, powerx)\n",
|
|
"axs[1].plot(x, powery)\n",
|
|
"axs[1].set_xlabel('frequency, Hz')\n",
|
|
"axs[1].set_ylabel('power')\n",
|
|
"axs[1].set_xlim(0,51)\n",
|
|
"axs[1].grid(True, linestyle='--')\n",
|
|
"fig.tight_layout()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.7.7"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|