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blog_num_journals.ipynb
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{ | |
"cells": [ | |
{ | |
"metadata": {}, | |
"cell_type": "markdown", | |
"source": "# QA\n\n\n## Number of journals\n\n- What to do with the fact that not all journals in the Freedom Collection have a price on pricelist?\n\n\n## Citations and Authorships\n\n- citations from MIT, UVA\n- get top journals, compare to lens? \n-- mit: https://link.lens.org/ylsb2JCsjB\n-- uva: https://link.lens.org/2uOyK1E3KSi\n\n## Prices\n\n- have them for all the journals\n\n## Magic Wand\n\n- plot the curve, see it makes sense\n\n\n## Counter\n\n- See what scaling factors we are applying to our download data, make sure is reasonable\n- See if their last five years roughly match ours\n\n## " | |
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"start_time": "2019-10-28T02:35:29.355166Z", | |
"end_time": "2019-10-28T02:35:31.389911Z" | |
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"cell_type": "code", | |
"source": "import requests\nimport numpy as np\nimport pandas as pd\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\n\n%matplotlib nbagg\n\nurl = \"http://localhost:5004/scenario?package=demo&ill_cost=5&spend=100&pagesize=100000000\"\nr = requests.get(url)\njournals = r.json()[\"journals\"]\n", | |
"execution_count": 46, | |
"outputs": [] | |
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{ | |
"metadata": { | |
"ExecuteTime": { | |
"start_time": "2019-10-28T02:35:35.249102Z", | |
"end_time": "2019-10-28T02:35:35.351775Z" | |
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"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "print journals[0].keys()\nnums = [[j[\"title\"], j[\"num_authorships\"], j[\"num_citations\"]] for j in journals]\nsorted_journals = sorted(journals, key=lambda x: x[\"num_citations\"], reverse=True)\n# print [[j[\"issn_l\"], j[\"title\"], j[\"num_citations\"], j[\"num_authorships\"]/(0.1+j[\"num_citations\"])] for j in sorted_journals];", | |
"execution_count": 47, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": "[u'cost_subscription', u'use_paywalled_weighted', u'cpu_weighted', u'cost_subscription_minus_ill', u'cpu_unweighted', u'subscribed', u'title', u'cost_ill', u'num_citations', u'num_authorships', u'issn_l', u'use_paywalled_unweighted', u'subject']\n", | |
"name": "stdout" | |
} | |
] | |
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{ | |
"metadata": { | |
"ExecuteTime": { | |
"start_time": "2019-10-28T02:49:57.143904Z", | |
"end_time": "2019-10-28T02:49:59.399799Z" | |
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"cell_type": "code", | |
"source": "url = \"http://localhost:5004/scenario/subscription_wizard?package=demo&pagesize=100000000&spend=40\"\nr = requests.get(url)\njournals = r.json()[\"journals\"]\ndf = pd.DataFrame(journals) \n# df.head()", | |
"execution_count": 61, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"start_time": "2019-10-28T02:49:59.420897Z", | |
"end_time": "2019-10-28T02:50:05.960702Z" | |
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"cell_type": "code", | |
"source": "%matplotlib nbagg\n\nsubscription_color = [\"blue\" if s else \"purple\" for s in df.subscribed]\n# plt.scatter(df.subscription_cpu_unweighted, df.paywalled_use_unweighted, alpha=0.2, color=my_color)\n\nfig, ax = plt.subplots(1, 1, figsize=(8, 5), sharex=True, sharey=False)\n\nlabels, subject_index = np.unique(df.subject, return_inverse=True)\nprint len(subject_index)\nprint max(subject_index)\n \nfor i in range(0, len(df.use_paywalled_weighted)):\n plt.scatter(df.use_paywalled_weighted[i], \n df.cost_subscription[i], \n alpha=0.2, \n color=subscription_color[i], \n label=df.title[i])\n# color=plt.cm.jet(float(subject_index[i])/max(subject_index)), \n# cmap=plt.cm.jet,\n# label=[df.title[i], df.issn_l[i], df.subject[i]])\nplt.yscale('log')\nplt.xscale('log')\nax.set_ylabel(\"subscription cost\")\nax.set_xlabel(\"paywalled uses per year\")\n# ax.set_xlim(-1000, 50000)\n# ax.set_ylim(-1000, 50000)\nax.set_xlim(.5)\nax.set_ylim(100)\nax.yaxis.set_major_formatter(mpl.ticker.FuncFormatter(lambda y, pos: '{0:,.0f}'.format(y)))\nax.xaxis.set_major_formatter(mpl.ticker.FuncFormatter(lambda y, pos: '{0:,.0f}'.format(y)))\n\nimport mpldatacursor\nmpldatacursor.datacursor(hover=False, formatter='{label}'.format)\nplt.show()\n\n", | |
"execution_count": 62, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
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' +\n 'Firefox 4 and 5 are also supported but you ' +\n 'have to enable WebSockets in about:config.');\n };\n}\n\nmpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n this.id = figure_id;\n\n this.ws = websocket;\n\n this.supports_binary = (this.ws.binaryType != undefined);\n\n if (!this.supports_binary) {\n var warnings = document.getElementById(\"mpl-warnings\");\n if (warnings) {\n warnings.style.display = 'block';\n warnings.textContent = (\n \"This browser does not support binary websocket messages. \" +\n \"Performance may be slow.\");\n }\n }\n\n this.imageObj = new Image();\n\n this.context = undefined;\n this.message = undefined;\n this.canvas = undefined;\n this.rubberband_canvas = undefined;\n this.rubberband_context = undefined;\n this.format_dropdown = undefined;\n\n this.image_mode = 'full';\n\n this.root = $('<div/>');\n this._root_extra_style(this.root)\n this.root.attr('style', 'display: inline-block');\n\n $(parent_element).append(this.root);\n\n this._init_header(this);\n this._init_canvas(this);\n this._init_toolbar(this);\n\n var fig = this;\n\n this.waiting = false;\n\n this.ws.onopen = function () {\n fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n fig.send_message(\"send_image_mode\", {});\n if (mpl.ratio != 1) {\n fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n }\n fig.send_message(\"refresh\", {});\n }\n\n this.imageObj.onload = function() {\n if (fig.image_mode == 'full') {\n // Full images could contain transparency (where diff images\n // almost always do), so we need to clear the canvas so that\n // there is no ghosting.\n fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n }\n fig.context.drawImage(fig.imageObj, 0, 0);\n };\n\n this.imageObj.onunload = function() {\n fig.ws.close();\n }\n\n this.ws.onmessage = this._make_on_message_function(this);\n\n this.ondownload = ondownload;\n}\n\nmpl.figure.prototype._init_header = function() {\n var titlebar = $(\n '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n 'ui-helper-clearfix\"/>');\n var titletext = $(\n '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n 'text-align: center; padding: 3px;\"/>');\n titlebar.append(titletext)\n this.root.append(titlebar);\n this.header = titletext[0];\n}\n\n\n\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.figure.prototype._init_canvas = function() {\n var fig = this;\n\n var canvas_div = $('<div/>');\n\n canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n\n function canvas_keyboard_event(event) {\n return fig.key_event(event, event['data']);\n }\n\n canvas_div.keydown('key_press', canvas_keyboard_event);\n canvas_div.keyup('key_release', canvas_keyboard_event);\n this.canvas_div = canvas_div\n this._canvas_extra_style(canvas_div)\n this.root.append(canvas_div);\n\n var canvas = $('<canvas/>');\n canvas.addClass('mpl-canvas');\n canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n\n this.canvas = canvas[0];\n this.context = canvas[0].getContext(\"2d\");\n\n var backingStore = this.context.backingStorePixelRatio ||\n\tthis.context.webkitBackingStorePixelRatio ||\n\tthis.context.mozBackingStorePixelRatio ||\n\tthis.context.msBackingStorePixelRatio ||\n\tthis.context.oBackingStorePixelRatio ||\n\tthis.context.backingStorePixelRatio || 1;\n\n mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n\n var rubberband = $('<canvas/>');\n rubberband.attr('style', \"position: absolute; 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height: ' + height + 'px;');\n\n rubberband.attr('width', width);\n rubberband.attr('height', height);\n }\n\n // Set the figure to an initial 600x600px, this will subsequently be updated\n // upon first draw.\n this._resize_canvas(600, 600);\n\n // Disable right mouse context menu.\n $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n return false;\n });\n\n function set_focus () {\n canvas.focus();\n canvas_div.focus();\n }\n\n window.setTimeout(set_focus, 100);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n var fig = this;\n\n var nav_element = $('<div/>')\n nav_element.attr('style', 'width: 100%');\n this.root.append(nav_element);\n\n // Define a callback function for later on.\n function toolbar_event(event) {\n return fig.toolbar_button_onclick(event['data']);\n }\n function toolbar_mouse_event(event) {\n return fig.toolbar_button_onmouseover(event['data']);\n }\n\n for(var toolbar_ind in mpl.toolbar_items) {\n var name = mpl.toolbar_items[toolbar_ind][0];\n var tooltip = mpl.toolbar_items[toolbar_ind][1];\n var image = mpl.toolbar_items[toolbar_ind][2];\n var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n if (!name) {\n // put a spacer in here.\n continue;\n }\n var button = $('<button/>');\n button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n 'ui-button-icon-only');\n button.attr('role', 'button');\n button.attr('aria-disabled', 'false');\n button.click(method_name, toolbar_event);\n button.mouseover(tooltip, toolbar_mouse_event);\n\n var icon_img = $('<span/>');\n icon_img.addClass('ui-button-icon-primary ui-icon');\n icon_img.addClass(image);\n icon_img.addClass('ui-corner-all');\n\n var tooltip_span = $('<span/>');\n tooltip_span.addClass('ui-button-text');\n tooltip_span.html(tooltip);\n\n button.append(icon_img);\n button.append(tooltip_span);\n\n nav_element.append(button);\n }\n\n var fmt_picker_span = $('<span/>');\n\n var fmt_picker = $('<select/>');\n fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n fmt_picker_span.append(fmt_picker);\n nav_element.append(fmt_picker_span);\n this.format_dropdown = fmt_picker[0];\n\n for (var ind in mpl.extensions) {\n var fmt = mpl.extensions[ind];\n var option = $(\n '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n fmt_picker.append(option)\n }\n\n // Add hover states to the ui-buttons\n $( \".ui-button\" ).hover(\n function() { $(this).addClass(\"ui-state-hover\");},\n function() { $(this).removeClass(\"ui-state-hover\");}\n );\n\n var status_bar = $('<span class=\"mpl-message\"/>');\n nav_element.append(status_bar);\n this.message = status_bar[0];\n}\n\nmpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n // which will in turn request a refresh of the image.\n this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n}\n\nmpl.figure.prototype.send_message = function(type, properties) {\n properties['type'] = type;\n properties['figure_id'] = this.id;\n this.ws.send(JSON.stringify(properties));\n}\n\nmpl.figure.prototype.send_draw_message = function() {\n if (!this.waiting) {\n this.waiting = true;\n this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n }\n}\n\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n var format_dropdown = fig.format_dropdown;\n var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n fig.ondownload(fig, format);\n}\n\n\nmpl.figure.prototype.handle_resize = function(fig, msg) {\n var size = msg['size'];\n if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n fig._resize_canvas(size[0], size[1]);\n fig.send_message(\"refresh\", {});\n };\n}\n\nmpl.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\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n // Updates the figure title.\n fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n // Request the server to send over a new figure.\n fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n fig.send_message('closing', msg);\n // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n var fig = this\n el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n", | |
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"metadata": {} | |
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\" 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}, | |
"metadata": {} | |
}, | |
{ | |
"output_type": "stream", | |
"text": "1851\n19\n", | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"metadata": { | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "", | |
"execution_count": null, | |
"outputs": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"name": "python2", | |
"display_name": "Python 2", | |
"language": "python" | |
}, | |
"toc": { | |
"nav_menu": {}, | |
"number_sections": true, | |
"sideBar": true, | |
"skip_h1_title": true, | |
"base_numbering": 1, | |
"title_cell": "Table of Contents", | |
"title_sidebar": "Contents", | |
"toc_cell": false, | |
"toc_position": { | |
"width": "165px", | |
"top": "150px", | |
"left": "10px", | |
"height": "calc(100% - 180px)" | |
}, | |
"toc_section_display": true, | |
"toc_window_display": true | |
}, | |
"hide_input": false, | |
"language_info": { | |
"mimetype": "text/x-python", | |
"nbconvert_exporter": "python", | |
"name": "python", | |
"pygments_lexer": "ipython2", | |
"version": "2.7.14", | |
"file_extension": ".py", | |
"codemirror_mode": { | |
"version": 2, | |
"name": "ipython" | |
} | |
}, | |
"gist": { | |
"id": "4d5c56abbff921016bc877e39e5efbd1", | |
"data": { | |
"description": "Unpaywall Journals QA.ipynb", | |
"public": true | |
} | |
}, | |
"_draft": { | |
"nbviewer_url": "https://gist.github.com/4d5c56abbff921016bc877e39e5efbd1" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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