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Jupyter-Notebook-Tutorial der Session eGo auf dem Abschlussworkshop von open_eGo in Berlin 2018
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eGo_Session_Workshop2018.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img src=\"https://www.uni-flensburg.de/fileadmin/content/system/logos/europa/uni-flensburg.png\" alt=\"EUF\" height=\"200\" width=\"300\" align=\"right\" >\n",
"<img src=\"https://hs-flensburg.de/themes/hsfl/img/Logo_color_schrift_grau_72dpi-320px.png\" alt=\"HSF\" height=\"200\" width=\"200\" align=\"left\" >\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"__copyright__ = \"Zentrum für nachhaltige Energiesysteme Flensburg\"\n",
"__license__ = \"GNU Affero General Public License Version 3 (AGPL-3.0)\"\n",
"__url__ = \"https://github.com/openego/eGo/blob/master/LICENSE\"\n",
"__author__ = \"wolfbunke\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"# <center> Abschlussworkshop open_eGo 2018 </center>\n",
"\n",
"## Session eGo: Ein Open Source Tool für spannungsübergreifende Stromnetz-Optimierung von Speicher- und Netzausbau\n",
"\n",
"****\n",
"\n",
"### Erfahre mehr über:\n",
"\n",
"\n",
"* __[open_eGo Projekt Webpage](https://openegoproject.wordpress.com/)__\n",
"* __[eGo Dokumentation](https://openego.readthedocs.io/)__ \n",
"* __[oedb Tutorials](http://oep.iks.cs.ovgu.de/dataedit/)__ \n",
"* __[eGo Source Code](https://github.com/openego/eGo)__\n",
"* __[OpenEnergy-Platform](https://openenergy-platform.org/)__\n",
"* __[eTraGo Dokumentation](https://etrago.readthedocs.io/en/latest/)__\n",
"* __[eDisGo Dokumentation](https://edisgo.readthedocs.io/en/dev/)__\n",
"* __[Ding0 Dokumentation](https://dingo.readthedocs.io/en/dev/)__\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img src=\"https://openego.readthedocs.io/en/dev/_images/open_ego_logo.png\" alt=\"eGo Tool\" height=\"200\" width=\"200\" align=\"right\" >\n",
"\n",
"## Inhaltsverzeichnis <a class=\"anchor\" id=\"toc\"></a>\n",
"\n",
"\n",
"* [Starte eGo](#started)\n",
"* [Fragestellung des Tutotrials](#tutorial)\n",
"* [Wie wende ich eGo an?](#anwendung)\n",
"* [Wie hoch sind die Ausbaukosten beim NEP 2035 und eGo 100 Szenario?](#szenario)\n",
"* [Wie unterscheiden sich der Ausbaubedarf je Spannungsebene?](#kostenvergleich)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Starte eGo <a class=\"anchor\" id=\"started\"></a>\n",
"\n",
"eGo ist ein Anwendungs-Tool, das in der Programmiersprache Python 3 entwickelt ist. Daher ist es wichtig vorab Python 3 zu installieren. Wenn eine Python Umgebung vorhanden ist, installiere eGo einfach über pypi mit **>>> pip3 install eGo**. Wir empfehlen eine virtuelle Umgebung für deine Installation zu verwenden. Erfahre mehr auf der README Datei oder auf der Dokumentationsseite [openego.readthedocs.io](https://openego.readthedocs.io/en/dev/).\n",
"\n",
"\n",
"## Übersicht der Funktionsweise der open_eGo Entwicklungen\n",
"\n",
"<img src=\"https://openego.readthedocs.io/en/dev/_images/open_ego_models_overview.png\" alt=\"eGo Tool\" height=\"700\" width=\"700\" align=\"center\" >\n",
"\n",
"\n",
"Damit wir das Tool eGo verwenden können, wurden innerhalb des Projektes open_eGo verschiedene Tools, Datenbanken, Schnittstellen und Datenaufbereitungs-Skripte als Open Source und Open Daten entwickelt. Die Grafik zeigt den Aufbau und den Prozess von der Rohdatengewinnung, Verarbeitung der Daten und Daten Modellerstellung (Data processing und Ding0) über die modulare Anwendung zur Mittel- und Niederspannungsberechnung (eDisGo), Höchst- und Hochspannungsberechnung (eTraGo) und deren Integration zur Berechnung der Gesamtergebnisse (eGo). \n",
"\n",
"\n",
"\n",
"## Installation \n",
"\n",
"Eine detaillierte Installationsanleitung ist unter [README.md](https://github.com/openego/eGo/tree/features/tutorial/ego/examples/tutorials) zu finden. \n",
"\n",
"### Schritte bevor wir eGo starten können\n",
"\n",
"\n",
"1. Anmeldung auf der [OpenEnergy-Platform](https://openenergy-platform.org/login) zum erhalt des Token für den Datenbankzugang\n",
"2. Installation von eGo\n",
"3. Erstellung der Ding0 (MS/NS Netze) (Berechnungszeit ca. 24h, Größe: ~20 GB bei 16 Gbit Arbeitsspeicher, 5 Kernen)\n",
"\n",
"Die weiteren Schritte werden hier im Tutorial beschrieben.\n",
"\n",
"\n",
"# Fragestellung des Tutorials <a class=\"anchor\" id=\"tutorial\"></a>\n",
"\n",
"In dem Jupyter Notebook Tutorial möchten wie folgende Inhalte und Fragen bearbeiten:\n",
"\n",
"### Wie wende ich das Tool an?\n",
"\n",
"* Übersicht des Tool und der Steuerung mit der zentralen `scenario_setting.json` \n",
"* Anwendung einer kleinen Berechnung\n",
"\n",
"### Wie hoch sind die Ausbaukosten von Netz und Speicher beim `NEP 2035` sowie ` eGo 100` Szenario?\n",
"\n",
"* Auf Basis der verkleinerten Rechnungen untersuchen wir \n",
"\n",
"\n",
"### Wie unterscheiden sich der Ausbaubedarf je Spannungsebene?\n",
"\n",
"\n",
"\n",
"\n",
"## Importiere eGo und Hilfspakete zur Darstellung\n",
"\n",
"Wir starten mit dem Import der [eGo() class](https://openego.readthedocs.io/en/dev/api/ego.tools.html#ego.tools.io.eGo)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# enable jupyter interactiv plotting\n",
"%matplotlib notebook\n",
"from ipywidgets import *\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/lib/python3.5/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use \"pip install psycopg2-binary\" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.\n",
" \"\"\")\n",
"INFO:keyring.backend:Loading KWallet\n",
"INFO:keyring.backend:Loading SecretService\n",
"INFO:keyring.backend:Loading Windows\n",
"INFO:keyring.backend:Loading macOS\n",
"INFO:keyring.backend:Loading Gnome\n",
"INFO:keyring.backend:Loading Google\n",
"INFO:keyring.backend:Loading Windows (alt)\n",
"INFO:keyring.backend:Loading file\n",
"INFO:keyring.backend:Loading keyczar\n",
"INFO:keyring.backend:Loading multi\n",
"INFO:keyring.backend:Loading pyfs\n",
"INFO:root:Generating grammar tables from /usr/lib/python3.5/lib2to3/Grammar.txt\n",
"INFO:root:Generating grammar tables from /usr/lib/python3.5/lib2to3/PatternGrammar.txt\n",
"/lib/python3.5/site-packages/sqlalchemy/ext/declarative/base.py:338: SAWarning:\n",
"\n",
"Ignoring declarative-like tuple value of attribute segment: possibly a copy-and-paste error with a comma left at the end of the line?\n",
"\n",
"/lib/python3.5/site-packages/sqlalchemy/ext/declarative/base.py:338: SAWarning:\n",
"\n",
"Ignoring declarative-like tuple value of attribute cable: possibly a copy-and-paste error with a comma left at the end of the line?\n",
"\n",
"INFO:root:Initialisation of eGo Results\n"
]
}
],
"source": [
"from ego.tools.io import eGo\n",
"from ego.tools.utilities import define_logging\n",
"import pandas as pd\n",
"# define logger file\n",
"logger = define_logging(name='ego')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setze die Einstellungen für die Berechnung\n",
"\n",
"Erhalte einen Überblick über die möglichen Einstellungen zur Berechnung. Eine detaillierte Dokumentation ist unter [openego.readthedocs.io/../..#scenario-settings-json](https://openego.readthedocs.io/en/latest/api/modules.html#scenario-settings-json) zu finden.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"eDisGo\": {\n",
" \"results\": \"results/another_result\",\n",
" \"parallelization\": true,\n",
" \"cluster_attributes\": [\n",
" \"farthest_node\",\n",
" \"wind_cap\",\n",
" \"solar_cap\",\n",
" \"extended_storage\"\n",
" ],\n",
" \"apply_curtailment\": true,\n",
" \"initial_reinforcement\": true,\n",
" \"manual_grids\": [],\n",
" \"ding0_files\": \"/path/to_your/.dingo/grids\",\n",
" \"max_workers\": 2,\n",
" \"max_cos_phi_renewable\": 0.9,\n",
" \"choice_mode\": \"cluster\",\n",
" \"max_calc_time\": 0.5,\n",
" \"no_grids\": 2,\n",
" \"gridversion\": \"v0.4.5\",\n",
" \"db\": \"oedb\",\n",
" \"timesteps_pfa\": \"snapshot_analysis\",\n",
" \"curtailment_voltage_threshold\": 0,\n",
" \"only_cluster\": false,\n",
" \"solver\": \"gurobi\",\n",
" \"storage_distribution\": true\n",
" },\n",
" \"eTraGo\": {\n",
" \"load_shedding\": false,\n",
" \"network_clustering_kmeans\": 10,\n",
" \"comments\": \"\",\n",
" \"scn_extension\": null,\n",
" \"extendable\": [\n",
" \"storage\",\n",
" \"network\"\n",
" ],\n",
" \"db\": \"oedb\",\n",
" \"skip_snapshots\": false,\n",
" \"parallelisation\": false,\n",
" \"solver_options\": {},\n",
" \"disaggregation\": \"uniform\",\n",
" \"db_export\": false,\n",
" \"generator_noise\": 789456,\n",
" \"scn_decommissioning\": null,\n",
" \"line_grouping\": false,\n",
" \"snapshot_clustering\": false,\n",
" \"ramp_limits\": false,\n",
" \"solver\": \"gurobi\",\n",
" \"end_snapshot\": 1005,\n",
" \"csv_export\": \"results/your_results\",\n",
" \"gridversion\": \"v0.4.5\",\n",
" \"branch_capacity_factor\": {\n",
" \"HV\": 0.5,\n",
" \"eHV\": 0.7\n",
" },\n",
" \"minimize_loading\": false,\n",
" \"load_cluster\": false,\n",
" \"method\": \"lopf\",\n",
" \"foreign_lines\": {\n",
" \"capacity\": \"osmTGmod\",\n",
" \"carrier\": \"AC\"\n",
" },\n",
" \"lpfile\": false,\n",
" \"pf_post_lopf\": true,\n",
" \"extra_functionality\": null,\n",
" \"scn_name\": \"eGo 100\",\n",
" \"network_clustering_ehv\": false,\n",
" \"start_snapshot\": 1000\n",
" },\n",
" \"eGo\": {\n",
" \"csv_import_eDisGo\": false,\n",
" \"eDisGo\": true,\n",
" \"eTraGo\": true,\n",
" \"csv_import_eTraGo\": false\n",
" }\n",
"}\n"
]
}
],
"source": [
"# lets have a look at our settings\n",
"import urllib.request, json\n",
"url =\"https://raw.githubusercontent.com/openego/eGo/dev/ego/scenario_setting.json\"\n",
"\n",
"with urllib.request.urlopen(url) as url:\n",
" data = json.loads(url.read().decode())\n",
" print(json.dumps(data, indent=4, sort_keys=False))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Start unserer Berechnung mit eGo <a class=\"anchor\" id=\"anwendung\"></a>\n",
"\n",
"\n",
"Für dieses Tutorial rechnen wir zwei Szenarien die innerhalb des Projektes entwickelt worden. Als erstes rechnen wir das **NEP 2035** Szenario, welches auf dem Netzentwicklungsplan Version 2015 der vier Übertragungsnetzbetreiber beruht. Danach rechnen wir das Szenario **eGo100** welches eine 100%ig regenerative Versorgung des elektrischen Verbrauchs innerhalb von Deutschland annimmt. Dieses basiert auf dem 2050 Szenario der E-Highway Studie (X-13:\n",
"13: 100% RES electricity).\n",
"\n",
"\n",
"### Schritte für die Berechnung\n",
"\n",
"* In der json Datei scenario_setting_nep2035.json finden wir unser vordefiniertes Szenario sowie alle Einstellung für die Berechnung\n",
"* Über der Aufruf der eGo Klasse initialisieren wir die Berechnung\n",
"* Um Zeit zu sparen wurden die Berechnung und das Optimierungsproblem zuvor gelöst und werden als Ergebnis csv für die weitere Analyse importiert\n",
"\n",
"\n",
"## NEP 2035 Szenario\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:ego:Using scenario setting: scenario_setting_nep2035.json\n",
"INFO:ego.tools.utilities:Your path is: /tutorial\n",
"INFO:ego.tools.utilities:eDisGo and eTraGo results will be imported from csv\n",
"\n",
"INFO:ego.tools.utilities:Using and importing eTraGo settings\n",
"INFO:ego.tools.utilities:Using and importing eDisGo settings\n",
"INFO:ego:Connected to Database\n",
"INFO:ego:eTraGo section started\n",
"INFO:ego:Caution, import disaggregation data of former Cluster\n",
"INFO:pypsa.io:Imported network etrago_k300_StoNet_nep35_workshop has buses, carriers, generators, lines, links, loads, storage_units\n",
"INFO:ego:Create eTraGo network from CSV result\n",
"INFO:pypsa.io:Imported network disaggregated has buses, carriers, generators, lines, links, loads, storage_units\n",
"INFO:ego:Create eTraGo disaggregated network from CSV result\n",
"INFO:ego:Using argument file\n",
"INFO:ego:Changed naming of storages to storage of args\n",
"INFO:ego:['network', 'storage']\n",
"INFO:ego:No Transform and Line losses are calcualted! \n",
"Use eTraGo pf_post_lopf method\n",
"INFO:ego:Create eDisGo network\n",
"INFO:ego.tools.edisgo_integration:eTraGo Dataset used extendable storage\n",
"INFO:ego.tools.edisgo_integration:All eDisGo settings are taken from CSV folder(scenario settings are ignored)\n",
"INFO:pypsa.io:Imported network pypsa_network has buses, generators, lines, loads, transformers\n",
"INFO:ego.tools.edisgo_integration:Imported MV grid 2390\n",
"INFO:pypsa.io:Imported network pypsa_network has buses, generators, lines, loads, transformers\n",
"INFO:ego.tools.edisgo_integration:Imported MV grid 1078\n",
"INFO:pypsa.io:Imported network pypsa_network has buses, generators, lines, loads, transformers\n",
"INFO:ego.tools.edisgo_integration:Imported MV grid 1298\n",
"INFO:pypsa.io:Imported network pypsa_network has buses, generators, lines, loads, transformers\n",
"INFO:ego.tools.edisgo_integration:Imported MV grid 2008\n",
"INFO:pypsa.io:Imported network pypsa_network has buses, generators, lines, loads, transformers\n",
"INFO:ego.tools.edisgo_integration:Imported MV grid 2687\n",
"WARNING:ego.tools.edisgo_integration:MV grid 1107 could not be loaded\n",
"INFO:pypsa.io:Imported network pypsa_network has buses, generators, lines, loads, transformers\n",
"INFO:ego.tools.edisgo_integration:Imported MV grid 2046\n",
"INFO:pypsa.io:Imported network pypsa_network has buses, generators, lines, loads, transformers\n",
"INFO:ego.tools.edisgo_integration:Imported MV grid 444\n",
"INFO:ego:For all components T=40 and p=0.05 is used\n",
"WARNING:ego:No results available for grid 1107\n",
"WARNING:ego:Only 92.49 % of the grids were calculated.\n",
"Costs are extrapolated...\n"
]
}
],
"source": [
"# Starte die Berechnung\n",
"ego = eGo(jsonpath='scenario_setting_nep2035.json')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>differentiation</th>\n",
" <th>voltage_level</th>\n",
" <th>capital_cost</th>\n",
" <th>component</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>cross-border</td>\n",
" <td>ehv</td>\n",
" <td>2.660334e+06</td>\n",
" <td>grid</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>domestic</td>\n",
" <td>ehv</td>\n",
" <td>5.084579e+06</td>\n",
" <td>grid</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>foreign</td>\n",
" <td>ehv</td>\n",
" <td>2.993799e+06</td>\n",
" <td>grid</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" differentiation voltage_level capital_cost component\n",
"0 cross-border ehv 2.660334e+06 grid\n",
"1 domestic ehv 5.084579e+06 grid\n",
"2 foreign ehv 2.993799e+06 grid"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Übersicht der Netzausbaukosten von eTraGo\n",
"ego.etrago.grid_investment_costs"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>voltage_level</th>\n",
" <th>capital_cost</th>\n",
" <th>overnight_costs</th>\n",
" <th>component</th>\n",
" <th>differentiation</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>lv</td>\n",
" <td>5216.046090</td>\n",
" <td>7.840426e+08</td>\n",
" <td>grid</td>\n",
" <td>domestic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>mv</td>\n",
" <td>35352.934531</td>\n",
" <td>5.314027e+09</td>\n",
" <td>grid</td>\n",
" <td>domestic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>mv/lv</td>\n",
" <td>382.216385</td>\n",
" <td>5.745232e+07</td>\n",
" <td>grid</td>\n",
" <td>domestic</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" voltage_level capital_cost overnight_costs component differentiation\n",
"0 lv 5216.046090 7.840426e+08 grid domestic\n",
"1 mv 35352.934531 5.314027e+09 grid domestic\n",
"2 mv/lv 382.216385 5.745232e+07 grid domestic"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Übersicht der Ausbaukosten von eDisGo\n",
"ego.edisgo.grid_investment_costs"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
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" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>capital_cost</th>\n",
" <th>component</th>\n",
" <th>differentiation</th>\n",
" <th>overnight_costs</th>\n",
" <th>voltage_level</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2.660334e+06</td>\n",
" <td>grid</td>\n",
" <td>cross-border</td>\n",
" <td>3.998843e+11</td>\n",
" <td>ehv</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>5.084579e+06</td>\n",
" <td>grid</td>\n",
" <td>domestic</td>\n",
" <td>7.642814e+11</td>\n",
" <td>ehv</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2.993799e+06</td>\n",
" <td>grid</td>\n",
" <td>foreign</td>\n",
" <td>4.500087e+11</td>\n",
" <td>ehv</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3.375557e+00</td>\n",
" <td>storage</td>\n",
" <td>domestic</td>\n",
" <td>5.073922e+05</td>\n",
" <td>ehv</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>3.535293e+04</td>\n",
" <td>grid</td>\n",
" <td>domestic</td>\n",
" <td>5.314027e+09</td>\n",
" <td>mv</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5.216046e+03</td>\n",
" <td>grid</td>\n",
" <td>domestic</td>\n",
" <td>7.840426e+08</td>\n",
" <td>lv</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>3.822164e+02</td>\n",
" <td>grid</td>\n",
" <td>domestic</td>\n",
" <td>5.745232e+07</td>\n",
" <td>mv/lv</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" capital_cost component differentiation overnight_costs voltage_level\n",
"0 2.660334e+06 grid cross-border 3.998843e+11 ehv\n",
"1 5.084579e+06 grid domestic 7.642814e+11 ehv\n",
"2 2.993799e+06 grid foreign 4.500087e+11 ehv\n",
"3 3.375557e+00 storage domestic 5.073922e+05 ehv\n",
"5 3.535293e+04 grid domestic 5.314027e+09 mv\n",
"4 5.216046e+03 grid domestic 7.840426e+08 lv\n",
"6 3.822164e+02 grid domestic 5.745232e+07 mv/lv"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Übersicht der gesamten Ausbaukosten \n",
"# Annuisiert pro Zeitschritt als capital_cost\n",
"ego.total_investment_costs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Grafische Darstellung der Gesamtkosten pro Spannungsebene\n",
"\n",
"Funktionsdokumentation unter: [plot_total_investment_costs()](https://openego.readthedocs.io/en/dev/api/ego.tools.html#ego.tools.plots.plot_grid_storage_investment)\n",
"\n",
"Wir schauen uns die Gesamtkosten der zeitliche definierten Berechnung und deren Netzzuständen an. Eine Beschreibung der Kostenmethoden ist unter [Theoretical Background](https://openego.readthedocs.io/en/dev/theoretical_background.html#economic-calculation) zu finden.\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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"\n",
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"\n",
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" 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",
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"\n",
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"\n",
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"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
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"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
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"\n",
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" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
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"\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",
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" this.rubberband_context.strokeStyle = \"#000000\";\n",
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" this._resize_canvas = function(width, height) {\n",
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" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
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" }\n",
"\n",
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"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
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"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
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" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
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" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
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" 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",
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" // 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",
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"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
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"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
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" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
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" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
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"}\n",
"\n",
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" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
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" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
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"\n",
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"\n",
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"\n",
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" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
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" 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",
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" 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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
]
},
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},
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\" width=\"797.5000000000001\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Gesamtkosten\n",
"ego.plot_total_investment_costs(var = 'overnight_cost')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"881.8333333333334\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Annuisierte Kosten der Zeitschritte\n",
"ego.plot_total_investment_costs()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Analyse der eTraGo Ergebnisse\n",
"\n",
"* Anwendung der HöS/HS Ebene mit eTraGo Funktionalitäten"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"895.5833333333334\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ego.etrago.plot_line_loading()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
},
{
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\" width=\"862.5833333333334\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Erzeugung DE und Nachbarn\n",
"ego.etrago.plot_stacked_gen()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Analyse der eDisGo Cluster\n",
"\n",
"### Clustering \n",
"\n",
"Für die Clusterbildung wurden die Parameter:\n",
"\n",
"* kumulierte installierte Windkapazität `\"wind_cap\"`\n",
"* kumulierte installierte Photovoltaikkapazität `\"solar_cap\"`\n",
"* maximale länge einer MS Leitung `\"farthest_node\"`\n",
"* Speicherausbau nach HöS/HS Optimierung `\"extended_storage\"`\n",
"\n",
"Auf Grund des Nicht-Ausbaus von Speicher in dem gewählten Zeitraum entniehmt eGo diesen Parameter\n",
"\n",
"### Einstellungen\n",
"\n",
"* Auswahl von repräsentative wurde mit k=8 vorgegeben\n",
"* K-Means Cluster-Algorithmus wählt Netze aus"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>no_of_points_per_cluster</th>\n",
" <th>the_selected_network_id</th>\n",
" <th>represented_grids</th>\n",
" </tr>\n",
" <tr>\n",
" <th>cluster_id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>917</td>\n",
" <td>2390</td>\n",
" <td>[2048, 2731, 4, 2053, 2058, 2062, 18, 22, 2077...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>712</td>\n",
" <td>1078</td>\n",
" <td>[3072, 2051, 2052, 5, 6, 8, 11, 12, 15, 16, 17...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>703</td>\n",
" <td>1298</td>\n",
" <td>[3, 2059, 21, 23, 2075, 2080, 688, 2082, 2083,...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>358</td>\n",
" <td>2008</td>\n",
" <td>[1, 2054, 1032, 3082, 3083, 1036, 14, 3088, 20...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>338</td>\n",
" <td>2687</td>\n",
" <td>[512, 2560, 2, 86, 3478, 3329, 2056, 1034, 154...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>254</td>\n",
" <td>1107</td>\n",
" <td>[1025, 1027, 7, 9, 10, 2060, 2061, 2574, 2063,...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>59</td>\n",
" <td>2046</td>\n",
" <td>[2692, 1413, 1414, 1415, 2057, 1420, 2445, 329...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>43</td>\n",
" <td>444</td>\n",
" <td>[2177, 3153, 3139, 3076, 3142, 3143, 1097, 339...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" no_of_points_per_cluster the_selected_network_id \\\n",
"cluster_id \n",
"3 917 2390 \n",
"1 712 1078 \n",
"6 703 1298 \n",
"5 358 2008 \n",
"0 338 2687 \n",
"4 254 1107 \n",
"2 59 2046 \n",
"7 43 444 \n",
"\n",
" represented_grids \n",
"cluster_id \n",
"3 [2048, 2731, 4, 2053, 2058, 2062, 18, 22, 2077... \n",
"1 [3072, 2051, 2052, 5, 6, 8, 11, 12, 15, 16, 17... \n",
"6 [3, 2059, 21, 23, 2075, 2080, 688, 2082, 2083,... \n",
"5 [1, 2054, 1032, 3082, 3083, 1036, 14, 3088, 20... \n",
"0 [512, 2560, 2, 86, 3478, 3329, 2056, 1034, 154... \n",
"4 [1025, 1027, 7, 9, 10, 2060, 2061, 2574, 2063,... \n",
"2 [2692, 1413, 1414, 1415, 2057, 1420, 2445, 329... \n",
"7 [2177, 3153, 3139, 3076, 3142, 3143, 1097, 339... "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ego.edisgo.grid_choice"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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