1227 lines
77 KiB
Plaintext
1227 lines
77 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [],
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"source": [
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"import folium\n",
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"\n",
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"from collections import Counter\n",
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"\n",
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"from math import sqrt, floor\n",
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"import numpy as np\n",
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"from imageio import imread\n",
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"\n",
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"%matplotlib notebook\n",
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"from matplotlib import pyplot as plt\n",
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"\n",
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"from skimage.morphology import binary_closing\n",
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"from skimage.measure import find_contours, label\n",
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"\n",
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"import folium.plugins\n",
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"from folium_jsbutton import JsButton"
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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": 18,
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"metadata": {},
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"outputs": [],
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"source": [
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"im = imread('../data/dialects.png')\n",
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"\n",
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"color_occurence = Counter(map(tuple, im.reshape(-1,3)))\n",
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"colors_sorted_by_occurence = [c for c, _ in sorted(\n",
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" color_occurence.items(),\n",
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" key=lambda x: x[1],\n",
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" reverse=True)\n",
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"]"
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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": 31,
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"metadata": {},
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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",
|
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" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
|
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" fig._resize_canvas(size[0], size[1]);\n",
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" fig.send_message(\"refresh\", {});\n",
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" };\n",
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"}\n",
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"\n",
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"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
|
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" var x0 = msg['x0'] / mpl.ratio;\n",
|
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" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
|
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" var x1 = msg['x1'] / mpl.ratio;\n",
|
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" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
|
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" x0 = Math.floor(x0) + 0.5;\n",
|
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" y0 = Math.floor(y0) + 0.5;\n",
|
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" x1 = Math.floor(x1) + 0.5;\n",
|
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" y1 = Math.floor(y1) + 0.5;\n",
|
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" var min_x = Math.min(x0, x1);\n",
|
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" var min_y = Math.min(y0, y1);\n",
|
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" var width = Math.abs(x1 - x0);\n",
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" var height = Math.abs(y1 - y0);\n",
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"\n",
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" fig.rubberband_context.clearRect(\n",
|
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" 0, 0, fig.canvas.width, fig.canvas.height);\n",
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"\n",
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" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
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"}\n",
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"\n",
|
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"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
|
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" // Updates the figure title.\n",
|
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" fig.header.textContent = msg['label'];\n",
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"}\n",
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"\n",
|
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"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
|
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" var cursor = msg['cursor'];\n",
|
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" switch(cursor)\n",
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" {\n",
|
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" case 0:\n",
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" cursor = 'pointer';\n",
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" break;\n",
|
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" case 1:\n",
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" cursor = 'default';\n",
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" break;\n",
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" case 2:\n",
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" cursor = 'crosshair';\n",
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" break;\n",
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" case 3:\n",
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" cursor = 'move';\n",
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" break;\n",
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" }\n",
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" fig.rubberband_canvas.style.cursor = cursor;\n",
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"}\n",
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"\n",
|
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"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
|
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" fig.message.textContent = msg['message'];\n",
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"}\n",
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"\n",
|
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"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
|
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" // Request the server to send over a new figure.\n",
|
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" fig.send_draw_message();\n",
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"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
|
|
" fig.image_mode = msg['mode'];\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.updated_canvas_event = function() {\n",
|
|
" // Called whenever the canvas gets updated.\n",
|
|
" this.send_message(\"ack\", {});\n",
|
|
"}\n",
|
|
"\n",
|
|
"// A function to construct a web socket function for onmessage handling.\n",
|
|
"// Called in the figure constructor.\n",
|
|
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
|
|
" return function socket_on_message(evt) {\n",
|
|
" if (evt.data instanceof Blob) {\n",
|
|
" /* FIXME: We get \"Resource interpreted as Image but\n",
|
|
" * transferred with MIME type text/plain:\" errors on\n",
|
|
" * Chrome. But how to set the MIME type? It doesn't seem\n",
|
|
" * to be part of the websocket stream */\n",
|
|
" evt.data.type = \"image/png\";\n",
|
|
"\n",
|
|
" /* Free the memory for the previous frames */\n",
|
|
" if (fig.imageObj.src) {\n",
|
|
" (window.URL || window.webkitURL).revokeObjectURL(\n",
|
|
" fig.imageObj.src);\n",
|
|
" }\n",
|
|
"\n",
|
|
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
|
|
" evt.data);\n",
|
|
" fig.updated_canvas_event();\n",
|
|
" fig.waiting = false;\n",
|
|
" return;\n",
|
|
" }\n",
|
|
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
|
|
" fig.imageObj.src = evt.data;\n",
|
|
" fig.updated_canvas_event();\n",
|
|
" fig.waiting = false;\n",
|
|
" return;\n",
|
|
" }\n",
|
|
"\n",
|
|
" var msg = JSON.parse(evt.data);\n",
|
|
" var msg_type = msg['type'];\n",
|
|
"\n",
|
|
" // Call the \"handle_{type}\" callback, which takes\n",
|
|
" // the figure and JSON message as its only arguments.\n",
|
|
" try {\n",
|
|
" var callback = fig[\"handle_\" + msg_type];\n",
|
|
" } catch (e) {\n",
|
|
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
|
|
" return;\n",
|
|
" }\n",
|
|
"\n",
|
|
" if (callback) {\n",
|
|
" try {\n",
|
|
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
|
|
" callback(fig, msg);\n",
|
|
" } catch (e) {\n",
|
|
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
|
|
" }\n",
|
|
" }\n",
|
|
" };\n",
|
|
"}\n",
|
|
"\n",
|
|
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
|
|
"mpl.findpos = function(e) {\n",
|
|
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
|
|
" var targ;\n",
|
|
" if (!e)\n",
|
|
" e = window.event;\n",
|
|
" if (e.target)\n",
|
|
" targ = e.target;\n",
|
|
" else if (e.srcElement)\n",
|
|
" targ = e.srcElement;\n",
|
|
" if (targ.nodeType == 3) // defeat Safari bug\n",
|
|
" targ = targ.parentNode;\n",
|
|
"\n",
|
|
" // jQuery normalizes the pageX and pageY\n",
|
|
" // pageX,Y are the mouse positions relative to the document\n",
|
|
" // offset() returns the position of the element relative to the document\n",
|
|
" var x = e.pageX - $(targ).offset().left;\n",
|
|
" var y = e.pageY - $(targ).offset().top;\n",
|
|
"\n",
|
|
" return {\"x\": x, \"y\": y};\n",
|
|
"};\n",
|
|
"\n",
|
|
"/*\n",
|
|
" * return a copy of an object with only non-object keys\n",
|
|
" * we need this to avoid circular references\n",
|
|
" * http://stackoverflow.com/a/24161582/3208463\n",
|
|
" */\n",
|
|
"function simpleKeys (original) {\n",
|
|
" return Object.keys(original).reduce(function (obj, key) {\n",
|
|
" if (typeof original[key] !== 'object')\n",
|
|
" obj[key] = original[key]\n",
|
|
" return obj;\n",
|
|
" }, {});\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
|
|
" var canvas_pos = mpl.findpos(event)\n",
|
|
"\n",
|
|
" if (name === 'button_press')\n",
|
|
" {\n",
|
|
" this.canvas.focus();\n",
|
|
" this.canvas_div.focus();\n",
|
|
" }\n",
|
|
"\n",
|
|
" var x = canvas_pos.x * mpl.ratio;\n",
|
|
" var y = canvas_pos.y * mpl.ratio;\n",
|
|
"\n",
|
|
" this.send_message(name, {x: x, y: y, button: event.button,\n",
|
|
" step: event.step,\n",
|
|
" guiEvent: simpleKeys(event)});\n",
|
|
"\n",
|
|
" /* This prevents the web browser from automatically changing to\n",
|
|
" * the text insertion cursor when the button is pressed. We want\n",
|
|
" * to control all of the cursor setting manually through the\n",
|
|
" * 'cursor' event from matplotlib */\n",
|
|
" event.preventDefault();\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
|
|
" // Handle any extra behaviour associated with a key event\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.key_event = function(event, name) {\n",
|
|
"\n",
|
|
" // Prevent repeat events\n",
|
|
" if (name == 'key_press')\n",
|
|
" {\n",
|
|
" if (event.which === this._key)\n",
|
|
" return;\n",
|
|
" else\n",
|
|
" this._key = event.which;\n",
|
|
" }\n",
|
|
" if (name == 'key_release')\n",
|
|
" this._key = null;\n",
|
|
"\n",
|
|
" var value = '';\n",
|
|
" if (event.ctrlKey && event.which != 17)\n",
|
|
" value += \"ctrl+\";\n",
|
|
" if (event.altKey && event.which != 18)\n",
|
|
" value += \"alt+\";\n",
|
|
" if (event.shiftKey && event.which != 16)\n",
|
|
" value += \"shift+\";\n",
|
|
"\n",
|
|
" value += 'k';\n",
|
|
" value += event.which.toString();\n",
|
|
"\n",
|
|
" this._key_event_extra(event, name);\n",
|
|
"\n",
|
|
" this.send_message(name, {key: value,\n",
|
|
" guiEvent: simpleKeys(event)});\n",
|
|
" return false;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
|
|
" if (name == 'download') {\n",
|
|
" this.handle_save(this, null);\n",
|
|
" } else {\n",
|
|
" this.send_message(\"toolbar_button\", {name: name});\n",
|
|
" }\n",
|
|
"};\n",
|
|
"\n",
|
|
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
|
|
" this.message.textContent = tooltip;\n",
|
|
"};\n",
|
|
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
|
|
"\n",
|
|
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
|
|
"\n",
|
|
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
|
|
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
|
|
" // object with the appropriate methods. Currently this is a non binary\n",
|
|
" // socket, so there is still some room for performance tuning.\n",
|
|
" var ws = {};\n",
|
|
"\n",
|
|
" ws.close = function() {\n",
|
|
" comm.close()\n",
|
|
" };\n",
|
|
" ws.send = function(m) {\n",
|
|
" //console.log('sending', m);\n",
|
|
" comm.send(m);\n",
|
|
" };\n",
|
|
" // Register the callback with on_msg.\n",
|
|
" comm.on_msg(function(msg) {\n",
|
|
" //console.log('receiving', msg['content']['data'], msg);\n",
|
|
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
|
|
" ws.onmessage(msg['content']['data'])\n",
|
|
" });\n",
|
|
" return ws;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.mpl_figure_comm = function(comm, msg) {\n",
|
|
" // This is the function which gets called when the mpl process\n",
|
|
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
|
|
"\n",
|
|
" var id = msg.content.data.id;\n",
|
|
" // Get hold of the div created by the display call when the Comm\n",
|
|
" // socket was opened in Python.\n",
|
|
" var element = $(\"#\" + id);\n",
|
|
" var ws_proxy = comm_websocket_adapter(comm)\n",
|
|
"\n",
|
|
" function ondownload(figure, format) {\n",
|
|
" window.open(figure.imageObj.src);\n",
|
|
" }\n",
|
|
"\n",
|
|
" var fig = new mpl.figure(id, ws_proxy,\n",
|
|
" ondownload,\n",
|
|
" element.get(0));\n",
|
|
"\n",
|
|
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
|
|
" // web socket which is closed, not our websocket->open comm proxy.\n",
|
|
" ws_proxy.onopen();\n",
|
|
"\n",
|
|
" fig.parent_element = element.get(0);\n",
|
|
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
|
|
" if (!fig.cell_info) {\n",
|
|
" console.error(\"Failed to find cell for figure\", id, fig);\n",
|
|
" return;\n",
|
|
" }\n",
|
|
"\n",
|
|
" var output_index = fig.cell_info[2]\n",
|
|
" var cell = fig.cell_info[0];\n",
|
|
"\n",
|
|
"};\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
|
|
" var width = fig.canvas.width/mpl.ratio\n",
|
|
" fig.root.unbind('remove')\n",
|
|
"\n",
|
|
" // Update the output cell to use the data from the current canvas.\n",
|
|
" fig.push_to_output();\n",
|
|
" var dataURL = fig.canvas.toDataURL();\n",
|
|
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
|
|
" // the notebook keyboard shortcuts fail.\n",
|
|
" IPython.keyboard_manager.enable()\n",
|
|
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
|
|
" fig.close_ws(fig, msg);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
|
|
" fig.send_message('closing', msg);\n",
|
|
" // fig.ws.close()\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
|
|
" // Turn the data on the canvas into data in the output cell.\n",
|
|
" var width = this.canvas.width/mpl.ratio\n",
|
|
" var dataURL = this.canvas.toDataURL();\n",
|
|
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.updated_canvas_event = function() {\n",
|
|
" // Tell IPython that the notebook contents must change.\n",
|
|
" IPython.notebook.set_dirty(true);\n",
|
|
" this.send_message(\"ack\", {});\n",
|
|
" var fig = this;\n",
|
|
" // Wait a second, then push the new image to the DOM so\n",
|
|
" // that it is saved nicely (might be nice to debounce this).\n",
|
|
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var nav_element = $('<div/>')\n",
|
|
" nav_element.attr('style', 'width: 100%');\n",
|
|
" this.root.append(nav_element);\n",
|
|
"\n",
|
|
" // Define a callback function for later on.\n",
|
|
" function toolbar_event(event) {\n",
|
|
" return fig.toolbar_button_onclick(event['data']);\n",
|
|
" }\n",
|
|
" function toolbar_mouse_event(event) {\n",
|
|
" return fig.toolbar_button_onmouseover(event['data']);\n",
|
|
" }\n",
|
|
"\n",
|
|
" for(var toolbar_ind in mpl.toolbar_items){\n",
|
|
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
|
|
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
|
|
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
|
|
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
|
|
"\n",
|
|
" if (!name) { continue; };\n",
|
|
"\n",
|
|
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
|
|
" button.click(method_name, toolbar_event);\n",
|
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
" nav_element.append(button);\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Add the status bar.\n",
|
|
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"\n",
|
|
" // Add the close button to the window.\n",
|
|
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
|
|
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
|
|
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
|
|
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
|
|
" buttongrp.append(button);\n",
|
|
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
|
|
" titlebar.prepend(buttongrp);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._root_extra_style = function(el){\n",
|
|
" var fig = this\n",
|
|
" el.on(\"remove\", function(){\n",
|
|
"\tfig.close_ws(fig, {});\n",
|
|
" });\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
|
|
" // this is important to make the div 'focusable\n",
|
|
" el.attr('tabindex', 0)\n",
|
|
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
|
|
" // off when our div gets focus\n",
|
|
"\n",
|
|
" // location in version 3\n",
|
|
" if (IPython.notebook.keyboard_manager) {\n",
|
|
" IPython.notebook.keyboard_manager.register_events(el);\n",
|
|
" }\n",
|
|
" else {\n",
|
|
" // location in version 2\n",
|
|
" IPython.keyboard_manager.register_events(el);\n",
|
|
" }\n",
|
|
"\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
|
|
" var manager = IPython.notebook.keyboard_manager;\n",
|
|
" if (!manager)\n",
|
|
" manager = IPython.keyboard_manager;\n",
|
|
"\n",
|
|
" // Check for shift+enter\n",
|
|
" if (event.shiftKey && event.which == 13) {\n",
|
|
" this.canvas_div.blur();\n",
|
|
" event.shiftKey = false;\n",
|
|
" // Send a \"J\" for go to next cell\n",
|
|
" event.which = 74;\n",
|
|
" event.keyCode = 74;\n",
|
|
" manager.command_mode();\n",
|
|
" manager.handle_keydown(event);\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
" fig.ondownload(fig, null);\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.find_output_cell = function(html_output) {\n",
|
|
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
|
|
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
|
|
" // IPython event is triggered only after the cells have been serialised, which for\n",
|
|
" // our purposes (turning an active figure into a static one), is too late.\n",
|
|
" var cells = IPython.notebook.get_cells();\n",
|
|
" var ncells = cells.length;\n",
|
|
" for (var i=0; i<ncells; i++) {\n",
|
|
" var cell = cells[i];\n",
|
|
" if (cell.cell_type === 'code'){\n",
|
|
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
|
|
" var data = cell.output_area.outputs[j];\n",
|
|
" if (data.data) {\n",
|
|
" // IPython >= 3 moved mimebundle to data attribute of output\n",
|
|
" data = data.data;\n",
|
|
" }\n",
|
|
" if (data['text/html'] == html_output) {\n",
|
|
" return [cell, data, j];\n",
|
|
" }\n",
|
|
" }\n",
|
|
" }\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"// Register the function which deals with the matplotlib target/channel.\n",
|
|
"// The kernel may be null if the page has been refreshed.\n",
|
|
"if (IPython.notebook.kernel != null) {\n",
|
|
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
|
|
"}\n"
|
|
],
|
|
"text/plain": [
|
|
"<IPython.core.display.Javascript object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<img 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\" width=\"640\">"
|
|
],
|
|
"text/plain": [
|
|
"<IPython.core.display.HTML object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"pallette_width = floor(sqrt(len(colors_sorted_by_occurence)))\n",
|
|
"pallette = np.array(colors_sorted_by_occurence[:pallette_width**2]).reshape(pallette_width, pallette_width, 3)\n",
|
|
"\n",
|
|
"_, (ax0, ax1) = plt.subplots(1, 2)\n",
|
|
"ax0.imshow(pallette)\n",
|
|
"for x in range(pallette_width):\n",
|
|
" for y in range(pallette_width):\n",
|
|
" ax0.text(x-0.5, y+0.5, str(x + y * pallette_width))\n",
|
|
"ax0.set_xticks([]), ax0.set_yticks([])\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"pallette_indices = [3, 4, 7, 8]\n",
|
|
"pallette = [colors_sorted_by_occurence[i] for i in pallette_indices]\n",
|
|
"pallette = np.array(pallette).reshape(1, -1, 3)\n",
|
|
"ax1.imshow(pallette)\n",
|
|
"ax1.set_xticks([]), ax1.set_yticks([])\n",
|
|
"None"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"ename": "AttributeError",
|
|
"evalue": "module 'folium.plugins' has no attribute 'ImageOverlay'",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-37-5561299adb2c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 10\u001b[0m )\n\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mfolium\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplugins\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImageOverlay\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0mm\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
|
"\u001b[0;31mAttributeError\u001b[0m: module 'folium.plugins' has no attribute 'ImageOverlay'"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"bounds = [\n",
|
|
" [52.832432288794514, 5.354483127593994],\n",
|
|
" [53.41434089638827, 6.330699920654297]\n",
|
|
"]\n",
|
|
"\n",
|
|
"m = folium.Map(\n",
|
|
" location=[(bounds[0][0] + bounds[1][0]) / 2, (bounds[0][1] + bounds[1][1]) / 2],\n",
|
|
" tiles='stamentoner',\n",
|
|
" zoom_start=9\n",
|
|
")\n",
|
|
"\n",
|
|
"folium.raster_layers.ImageOverlay()\n",
|
|
"\n",
|
|
"m"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"print(geojson)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"plt.rcParams['figure.figsize'] = (9.5, 3)\n",
|
|
"ax0, ax1, ax2 = plt.subplots(1,3)[1]\n",
|
|
"ax0.imshow(im)\n",
|
|
"ax1.imshow(composed_49.astype(int))\n",
|
|
"ax2.imshow(composed_4.astype(int))\n",
|
|
"ax0.set_xticks([]); ax0.set_yticks([])\n",
|
|
"ax1.set_xticks([]); ax1.set_yticks([])\n",
|
|
"ax2.set_xticks([]); ax2.set_yticks([])\n",
|
|
"plt.tight_layout()\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"stavoren_to_east_pixels = [295, 717]\n",
|
|
"north_to_south_pixels = [99, 525]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"scrolled": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"axes = plt.subplots(2,2)[1].ravel()\n",
|
|
"contours = []\n",
|
|
"for axis, c in zip(axes, relevant_colors):\n",
|
|
" bi = (im[:-100] == c[None,None]).min(axis=2)\n",
|
|
" bi = binary_closing(bi, np.ones((5,5)))\n",
|
|
" \n",
|
|
" labels = label(bi, background=False)\n",
|
|
" \n",
|
|
" contours.append(find_contours(bi, 0.5))\n",
|
|
"\n",
|
|
" axis.imshow(bi)\n",
|
|
" for n, contour in enumerate(contours[-1][:1]):\n",
|
|
" axis.plot(contour[:, 1], contour[:, 0], linewidth=2)\n",
|
|
" axis.set_xticks([]); axis.set_yticks([])\n",
|
|
"plt.tight_layout()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"ename": "NameError",
|
|
"evalue": "name 'stavoren_to_east_coords' is not defined",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-3-7f649ab43c0e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstavoren_to_east_coords\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mc0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstavoren_to_east_pixels\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mscale_x\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mc0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0md0\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mc0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mb0\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0ma0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0ma0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
|
"\u001b[0;31mNameError\u001b[0m: name 'stavoren_to_east_coords' is not defined"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"a0, b0 = stavoren_to_east_coords\n",
|
|
"c0, d0 = stavoren_to_east_pixels\n",
|
|
"\n",
|
|
"scale_x = lambda x: (x - c0) / (d0 - c0) * (b0 - a0) + a0\n",
|
|
"\n",
|
|
"a1, b1 = north_to_south_coords\n",
|
|
"c1, d1 = north_to_south_pixels\n",
|
|
"\n",
|
|
"scale_y = lambda x: (x - c1) / (d1 - c1) * (b1 - a1) + a1\n",
|
|
"\n",
|
|
"contours_scaled = [\n",
|
|
" list(zip(scale_x(c[0][:, 1]), scale_y(c[0][:, 0])))\n",
|
|
" for c in contours\n",
|
|
"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"ename": "NameError",
|
|
"evalue": "name 'contours_scaled' is not defined",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-4-fc568b2f2fd5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 10\u001b[0m }\n\u001b[1;32m 11\u001b[0m }\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mcontour\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdialect\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcontours_scaled\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mregions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 13\u001b[0m ]\n\u001b[1;32m 14\u001b[0m })\n",
|
|
"\u001b[0;31mNameError\u001b[0m: name 'contours_scaled' is not defined"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"geojson = json.dumps({\n",
|
|
" \"type\": \"FeatureCollection\",\n",
|
|
" \"features\": [\n",
|
|
" {\n",
|
|
" \"type\": \"Feature\",\n",
|
|
" \"properties\": {'dialect': dialect},\n",
|
|
" \"geometry\": {\n",
|
|
" \"type\": \"Polygon\",\n",
|
|
" \"coordinates\": [list(map(list, contour))]\n",
|
|
" }\n",
|
|
" }\n",
|
|
" for contour, dialect in zip(contours_scaled, regions)\n",
|
|
" ]\n",
|
|
"})\n",
|
|
"\n",
|
|
"with open('dialect_regions.geojson', 'w') as f:\n",
|
|
" f.write(geojson)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"ename": "NameError",
|
|
"evalue": "name 'north_to_south_coords' is not defined",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-5-732d7d519e9d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m m = folium.Map(\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mlocation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnorth_to_south_coords\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstavoren_to_east_coords\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mtiles\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Mapbox Bright'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mzoom_start\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m9\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m )\n",
|
|
"\u001b[0;31mNameError\u001b[0m: name 'north_to_south_coords' is not defined"
|
|
]
|
|
}
|
|
],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"ename": "NameError",
|
|
"evalue": "name 'contours_scaled' is not defined",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-6-1008e368979e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m shapes = {\n\u001b[1;32m 2\u001b[0m \u001b[0mdialect\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"type\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"Polygon\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"coordinates\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontour\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mcontour\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdialect\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcontours_scaled\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mregions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m }\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
|
"\u001b[0;31mNameError\u001b[0m: name 'contours_scaled' is not defined"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"shapes = {\n",
|
|
" dialect: shape({\"type\": \"Polygon\", \"coordinates\": [list(map(list, contour))]})\n",
|
|
" for contour, dialect in zip(contours_scaled, regions)\n",
|
|
"}\n",
|
|
"\n",
|
|
"def regions_for(coordinate):\n",
|
|
" regions = {\n",
|
|
" region_name\n",
|
|
" for region_name, shape in shapes.items()\n",
|
|
" if shape.contains(Point(*coordinate))\n",
|
|
" }\n",
|
|
" return regions\n",
|
|
"\n",
|
|
"def distance(shape, longitude, latitude):\n",
|
|
" ext = shape.exterior\n",
|
|
" p = ext.interpolate(ext.project(Point(longitude, latitude)))\n",
|
|
" return vincenty((latitude, longitude), (p.y, p.x))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# SELECT user_lat, user_lng, question_text, answer_text\n",
|
|
"picture_games = pandas.read_sql('''\n",
|
|
"SELECT language.name as language, item.name as picture,\n",
|
|
" survey.user_lat as latitude, survey.user_lng as longitude,\n",
|
|
" survey.area_name as area, survey.country_name as country,\n",
|
|
" result.recording as filename,\n",
|
|
" result.submitted_at as date\n",
|
|
"FROM core_surveyresult as survey\n",
|
|
"INNER JOIN core_picturegameresult as result ON survey.id = result.survey_result_id\n",
|
|
"INNER JOIN core_language as language ON language.id = result.language_id\n",
|
|
"INNER JOIN core_picturegameitem as item\n",
|
|
" ON result.picture_game_item_id = item.id\n",
|
|
"''', db)\n",
|
|
"# picture_games['filename'] = [filename.split('/')[-1] for filename in picture_games['filename']]\n",
|
|
"picture_games.set_index('filename', inplace=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"model_id": "c9ac8f69c77e461fa654e81dba282ca1",
|
|
"version_major": 2,
|
|
"version_minor": 0
|
|
},
|
|
"text/plain": [
|
|
"VBox(children=(HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='<b>0</b>s passed', placeholder='0…"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"ename": "NameError",
|
|
"evalue": "name 'regions_for' is not defined",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-8-aabb5cdda548>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 12\u001b[0m for filename, (latitude, longitude) in ProgressBar(\n\u001b[1;32m 13\u001b[0m \u001b[0mpicture_games\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'latitude'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'longitude'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miterrows\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpicture_games\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 15\u001b[0m )\n\u001b[1;32m 16\u001b[0m ]\n",
|
|
"\u001b[0;32m<ipython-input-8-aabb5cdda548>\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;34m'filename'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m }\n\u001b[0;32m---> 12\u001b[0;31m for filename, (latitude, longitude) in ProgressBar(\n\u001b[0m\u001b[1;32m 13\u001b[0m \u001b[0mpicture_games\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'latitude'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'longitude'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miterrows\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpicture_games\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
|
"\u001b[0;31mNameError\u001b[0m: name 'regions_for' is not defined"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"region_per_picture_game = [\n",
|
|
" {\n",
|
|
" 'dialects': [\n",
|
|
" {\n",
|
|
" 'dialect': dialect,\n",
|
|
" 'boundary_distance': distance(shapes[dialect], longitude, latitude),\n",
|
|
" }\n",
|
|
" for dialect in regions_for((longitude, latitude))\n",
|
|
" ],\n",
|
|
" 'filename': filename,\n",
|
|
" }\n",
|
|
" for filename, (latitude, longitude) in ProgressBar(\n",
|
|
" picture_games[['latitude', 'longitude']].iterrows(),\n",
|
|
" size=len(picture_games)\n",
|
|
" )\n",
|
|
"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"scrolled": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"Counter(len(x['dialects']) for x in region_per_picture_game)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"df = pandas.DataFrame([\n",
|
|
" [r['filename'], r['dialects'][0]['dialect'], r['dialects'][0]['boundary_distance']]\n",
|
|
" for r in region_per_picture_game\n",
|
|
" if len(r['dialects']) == 1\n",
|
|
"], columns = ['filename', 'dialect', 'boundary_distance'])\n",
|
|
"\n",
|
|
"df.to_excel('picture_game_recordings_by_dialect.xlsx')\n",
|
|
"df.to_csv('picture_game_recordings_by_dialect.csv')\n",
|
|
"df"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# SELECT user_lat, user_lng, question_text, answer_text\n",
|
|
"free_speech_games = pandas.read_sql('''\n",
|
|
"SELECT language.name as language,\n",
|
|
" survey.user_lat as latitude, survey.user_lng as longitude,\n",
|
|
" survey.area_name as area, survey.country_name as country,\n",
|
|
" result.recording as filename,\n",
|
|
" result.submitted_at as date\n",
|
|
"FROM core_surveyresult as survey\n",
|
|
"INNER JOIN core_freespeechresult as result ON survey.id = result.survey_result_id\n",
|
|
"INNER JOIN core_language as language ON language.id = result.language_id\n",
|
|
"''', db)\n",
|
|
"# free_speech_games['filename'] = [filename.split('/')[-1] for filename in games['filename']]\n",
|
|
"free_speech_games.set_index('filename', inplace=True)"
|
|
]
|
|
}
|
|
],
|
|
"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": "3.6.5"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 1
|
|
}
|