{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Zonal mean response\n", "* Wenchang Yang (wenchang@princeton.edu)\n", "* Department of Geoscience, Princeton University" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2019-04-19T20:25:08.803325Z", "start_time": "2019-04-19T20:24:40.500403Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "**2019-04-19T16:24:40.502968**\n", ">>> Importing Python 3.7.2 packages...\n", "[OK]: import sys, os, os.path, datetime, glob\n", "[OK]: import numpy as np-1.16.2\n", "[OK]: import matplotlib as mpl-3.0.3; backend: module://ipykernel.pylab.backend_inline\n", "[OK]: #---import matplotlib.pyplot as plt\n", "[OK]: #---from pylab import *\n", "[OK]: import xarray as xr-0.12.0\n", "[OK]: #---import netCDF4\n", "[OK]: #---import dask\n", "[OK]: #---import bottleneck\n", "[OK]: import pandas as pd-0.24.2\n", "[OK]: from mpl_toolkits.basemap import Basemap\n", " PROJ_LIB = /tigress/wenchang/miniconda3p7/share/proj\n", ">>>Import packages from Wenchang Yang (wython)...\n", "[OK]: import geoplots as gt\n", "[OK]: from geoplots import geoplot, fxyplot, mapplot, xticksyear\n", "[OK]: import geoxarray\n", "[OK]: import filter\n", "[OK]: import xlearn\n", "[OK]: import mysignal as sig\n", "**Done**\n" ] } ], "source": [ "%run -im pythonstartup" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2019-04-19T20:25:32.616411Z", "start_time": "2019-04-19T20:25:32.441782Z" } }, "outputs": [], "source": [ "from lib.util import year_shift\n", "import xlearn\n", "\n", "%matplotlib notebook" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2019-04-19T20:26:28.408586Z", "start_time": "2019-04-19T20:25:39.198961Z" }, "code_folding": [ 0 ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Agung_t_surf\n", "StMaria_t_surf\n", "Pinatubo_t_surf\n", "Agung_ctl_t_surf\n", "StMaria_ctl_t_surf\n", "Pinatubo_ctl_t_surf\n", "Agung_precip\n", "StMaria_precip\n", "Pinatubo_precip\n", "Agung_ctl_precip\n", "StMaria_ctl_precip\n", "Pinatubo_ctl_precip\n", "Agung_nudge_netrad_toa\n", "StMaria_nudge_netrad_toa\n", "Pinatubo_nudge_netrad_toa\n", "Agung_nudge_ctl_netrad_toa\n", "StMaria_nudge_ctl_netrad_toa\n", "Pinatubo_nudge_ctl_netrad_toa\n" ] } ], "source": [ "# data\n", "if 'das' in globals() or 'das' in locals():\n", " pass\n", "else:\n", " das = dict()\n", "\n", "volcs = ['Agung', 'StMaria', 'Pinatubo']\n", "years = [1963, 1902, 1991]\n", "\n", "# non-nudged\n", "datanames = ('t_surf', 'precip')\n", "for dataname in datanames:\n", " # volc\n", " ifiles = [f'data/{volc}_PI_ens_noleap.atmos_month.{dataname}.nc'\n", " for volc in volcs]\n", " for volc, ifile in zip(volcs, ifiles):\n", " key = f'{volc}_{dataname}'\n", " if key in das.keys():\n", " print('\\t[Exists]:', key)\n", " else:\n", " print(key)\n", " da = xr.open_dataarray(ifile).mean('lon')\n", " das[key] = da\n", "\n", " # ctl\n", " ifile = f'data/CTL1860_noleap_tigercpu_intelmpi_18_576PE.atmos_month.{dataname}.nc'\n", " for volc, year in zip(volcs, years):\n", " key = f'{volc}_ctl_{dataname}'\n", " if key in das.keys():\n", " print('\\t[Exists]:', key)\n", " else:\n", " print(key)\n", " da = xr.open_dataarray(ifile).mean('lon')\n", " da = year_shift(da, n=year-1, to_datetime=True)\n", " das[key] = da\n", "\n", "# nudged\n", "datanames = ('netrad_toa',)\n", "for dataname in datanames:\n", " # volc_nudge\n", " ifiles = [f'data/{volc}_ens_noleap_nudgeclimo_all_model1860.atmos_month.{dataname}.nc'\n", " for volc in volcs]\n", " for volc, ifile in zip(volcs, ifiles):\n", " key = f'{volc}_nudge_{dataname}'\n", " if key in das.keys():\n", " print('\\t[Exists]:', key)\n", " else:\n", " print(key)\n", " da = xr.open_dataarray(ifile).mean('lon')\n", " das[key] = da\n", "\n", " # ctl_nudge\n", " ifile = f'data/nudgeclimo_all_model_CTL1860_tigercpu_intelmpi_18_576PE.atmos_month.{dataname}.nc'\n", " for volc, year in zip(volcs, years):\n", " key = f'{volc}_nudge_ctl_{dataname}'\n", " if key in das.keys():\n", " print('\\t[Exists]:', key)\n", " else:\n", " print(key)\n", " da = xr.open_dataarray(ifile).mean('lon')\n", " da = year_shift(da, n=year-1, to_datetime=True)\n", " das[key] = da\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2018-09-17T14:49:00.117128Z", "start_time": "2018-09-17T14:48:59.736386Z" }, "code_folding": [ 0 ] }, "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 = $('
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');\n", " var 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= 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": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# fig\n", "fig, axes = plt.subplots(3, 1, figsize=(6,6), sharex=True)\n", "n_years = 3\n", "volc_dates = dict(StMaria=(1902, 10), Agung=(1963, 3), Pinatubo=(1991, 6))\n", "xlim = (-1, 1)\n", "xticks = [-1, -np.sin(np.pi/3), -np.sin(np.pi/4), -.5, -np.sin(np.pi/12),\n", " 0, np.sin(np.pi/12), .5, np.sin(np.pi/4), np.sin(np.pi/3), 1]\n", "xticklabels = ['90S', '60S', '45S', '30S', '15S', '0', '15N', '30N', '45N', '60N', '90N']\n", "rolling_kws = dict(lat=9, center=True, min_periods=1)\n", "axline_kws = dict(color='gray', lw=1, ls='--')\n", "legend_kws = dict(loc='upper left', bbox_to_anchor=(0,1.25), ncol=3)\n", "tag_kws = dict(x=.01, y=.02, ha='left', va='bottom', fontsize='large')\n", "\n", "ax = axes[0]\n", "dataname = 'netrad_toa'\n", "units = 'W m$^{-2}$'\n", "longname = 'F'\n", "\n", "volc = 'StMaria'\n", "line_kws = dict(color='C1')\n", "keyv, keyc = f'{volc}_nudge_{dataname}', f'{volc}_nudge_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "volc = 'Agung'\n", "line_kws = dict(color='C0')\n", "keyv, keyc = f'{volc}_nudge_{dataname}', f'{volc}_nudge_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "volc = 'Pinatubo'\n", "line_kws = dict(color='k')\n", "keyv, keyc = f'{volc}_nudge_{dataname}', f'{volc}_nudge_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "ax.set_xlim(xlim)\n", "ax.set_ylabel(f'{longname} [{units}]')\n", "ax.set_xticks(xticks)\n", "ax.set_xticklabels(xticklabels)\n", "ax.axhline(0, **axline_kws)\n", "ax.axvline(0, **axline_kws)\n", "ax.text(s='(a)', transform=ax.transAxes, **tag_kws)\n", "ax.legend(**legend_kws)\n", "\n", "\n", "# \n", "ax = axes[1]\n", "dataname = 't_surf'\n", "units = 'K'\n", "longname = 'T$_s$'\n", "\n", "volc = 'StMaria'\n", "line_kws = dict(color='C1')\n", "keyv, keyc = f'{volc}_{dataname}', f'{volc}_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "volc = 'Agung'\n", "line_kws = dict(color='C0')\n", "keyv, keyc = f'{volc}_{dataname}', f'{volc}_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "volc = 'Pinatubo'\n", "line_kws = dict(color='k')\n", "keyv, keyc = f'{volc}_{dataname}', f'{volc}_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "ax.axhline(0, **axline_kws)\n", "ax.axvline(0, **axline_kws)\n", "ax.set_ylabel(f'{longname} [{units}]')\n", "ax.text(s='(b)', transform=ax.transAxes, **tag_kws)\n", "\n", "\n", "# \n", "ax = axes[2]\n", "dataname = 'precip'\n", "units = 'mm day$^{-1}$'\n", "longname = 'Prcp'\n", "scale = 24*3600\n", "\n", "volc = 'StMaria'\n", "line_kws = dict(color='C1')\n", "keyv, keyc = f'{volc}_{dataname}', f'{volc}_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()*scale\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "volc = 'Agung'\n", "line_kws = dict(color='C0')\n", "keyv, keyc = f'{volc}_{dataname}', f'{volc}_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()*scale\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "volc = 'Pinatubo'\n", "line_kws = dict(color='k')\n", "keyv, keyc = f'{volc}_{dataname}', f'{volc}_ctl_{dataname}'\n", "da = das[keyv] - das[keyc]\n", "yyyy, mm = volc_dates[volc]\n", "da = (da.isel(time=slice(mm - 1, mm - 1 + n_years*12))\n", " .mean(['en', 'time'])\n", " .rolling(**rolling_kws).mean()*scale\n", ")\n", "ax.plot(np.sin(da.lat/180*np.pi), da, **line_kws, label=volc)\n", "\n", "\n", "ax.axhline(0, **axline_kws)\n", "ax.axvline(0, **axline_kws)\n", "ax.set_ylabel(f'{longname} [{units}]')\n", "ax.text(s='(c)', transform=ax.transAxes, **tag_kws)\n", "\n", "figname = 'figs/fig_lines_zonmean_xlat.pdf'\n", "plt.savefig(figname)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "with spread" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2019-01-03T20:28:34.093862Z", "start_time": "2019-01-03T20:28:33.123450Z" }, "code_folding": [] }, "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 = $('
');\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", " '
');\n", " var titletext = $(\n", " '
');\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 = $('
');\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 = $('');\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 = $('');\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 = $('
')\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 = $('