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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "# Pyrocko Notebook\n",
  8. "## Double Couple Waveform Inversion (The 2009 Aquila Earthquake)\n",
  9. "\n",
  10. "In this Jupyter-notebook we look at teleseismic waveforms of the 2009 Aquila Earthquake and setup `pyrocko.gf` forward modelling to invert for the double couple mechanism of the event. We will use `pyrocko` to handle the seismic data and execute the forward modelling based on pre-calculated Green's function stores, `scipy` delivers the optimisation algorithms.\n",
  11. "\n",
  12. "_Authors:_\n",
  13. "Andreas Steinberg, Marius Isken\n",
  14. "\n",
  15. "-Nov. 2017"
  16. ]
  17. },
  18. {
  19. "cell_type": "code",
  20. "execution_count": 1,
  21. "metadata": {},
  22. "outputs": [],
  23. "source": [
  24. "%matplotlib notebook\n",
  25. "import time\n",
  26. "import os\n",
  27. "import scipy\n",
  28. "import numpy as num\n",
  29. "import matplotlib.pyplot as plt\n",
  30. "import plotly.plotly as py\n",
  31. "from collections import OrderedDict\n",
  32. "\n",
  33. "import utils_nb\n",
  34. "\n",
  35. "from pyrocko import gf, trace\n",
  36. "from pyrocko import moment_tensor as mtm\n",
  37. "from pyrocko.gf import ws, LocalEngine, Target, DCSource\n",
  38. "from pyrocko import util, pile, model, config, trace, io, pile, catalog\n",
  39. "\n",
  40. "km = 1000."
  41. ]
  42. },
  43. {
  44. "cell_type": "markdown",
  45. "metadata": {},
  46. "source": [
  47. "### Optimisation Parameters\n",
  48. "Setup of the optimisation parameters, as well as boundaries for the source parameters."
  49. ]
  50. },
  51. {
  52. "cell_type": "code",
  53. "execution_count": 2,
  54. "metadata": {},
  55. "outputs": [],
  56. "source": [
  57. "component = 'Z'\n",
  58. "f_low = 0.05 # Hz, for a lowpass filter\n",
  59. "taper = trace.CosFader(xfade=2.0) # Cosine taper, 2s fade\n",
  60. "\n",
  61. "phase = 'P' # Phase to fit\n",
  62. "tmin_fit = 15. # [s] to fit before synthetic phase onset (from GFStore)\n",
  63. "tmax_fit = 35. # [s] ... after\n",
  64. "\n",
  65. "bounds = OrderedDict([\n",
  66. " ('north_shift', (-20.*km, 20.*km)),\n",
  67. " ('east_shift', (-20.*km, 20.*km)),\n",
  68. " ('depth', (3.*km, 8.*km)),\n",
  69. " ('magnitude', (6.2, 6.4)),\n",
  70. " ('strike', (100., 140.)),\n",
  71. " ('dip', (40., 60.)),\n",
  72. " ('rake', (-100, -150.)),\n",
  73. " ('timeshift', (-20., 20.)),\n",
  74. " ])"
  75. ]
  76. },
  77. {
  78. "cell_type": "markdown",
  79. "metadata": {},
  80. "source": [
  81. "### Load the Waveforms\n",
  82. "We download the instrument-corrected seismic waveforms and use a `pyrocko.pile` to manage the data."
  83. ]
  84. },
  85. {
  86. "cell_type": "code",
  87. "execution_count": 3,
  88. "metadata": {
  89. "scrolled": true
  90. },
  91. "outputs": [
  92. {
  93. "name": "stderr",
  94. "output_type": "stream",
  95. "text": [
  96. "selecting files... done. 58 files selected.\n",
  97. "Looking at files [------------------------------------------------------] 100% \n",
  98. "Scanning files [--------------------------------------------------------] 100% \n",
  99. "Cannot read file '/home/marius/Development/pyrocko-notebooks/data/aquila_realdata/stations_short.txt': No SEED data detected (file: /home/marius/Development/pyrocko-notebooks/data/aquila_realdata/stations_short.txt)\n",
  100. "The following file caused problems and will be ignored:\n",
  101. "/home/marius/Development/pyrocko-notebooks/data/aquila_realdata/stations_short.txt\n"
  102. ]
  103. }
  104. ],
  105. "source": [
  106. "# Download the instrument-corrected 2009 Aquila Earthquake data\n",
  107. "data_path = utils_nb.download_dir('aquila_realdata/')\n",
  108. "data = pile.make_pile([data_path])\n",
  109. "traces = data.all() # retrieves the raw waveform data as a 2D `numpy.array`.\n",
  110. "\n",
  111. "for tr in traces:\n",
  112. " tr.lowpass(4, f_low)"
  113. ]
  114. },
  115. {
  116. "cell_type": "markdown",
  117. "metadata": {},
  118. "source": [
  119. "### Initialize Forward Modelling Engine (Seismosizer)\n",
  120. "We download the precalculated Green's function database (`Store`) *global_2s_25km* from http://kinherd.org"
  121. ]
  122. },
  123. {
  124. "cell_type": "code",
  125. "execution_count": 4,
  126. "metadata": {},
  127. "outputs": [],
  128. "source": [
  129. "store_id = 'global_2s_25km'\n",
  130. "if not os.path.exists(store_id):\n",
  131. " ws.download_gf_store(site='kinherd', store_id=store_id)"
  132. ]
  133. },
  134. {
  135. "cell_type": "markdown",
  136. "metadata": {},
  137. "source": [
  138. "Now we fire up the `engine` to forward model synthetic seismograms on our _global_2s_25km_ GF database."
  139. ]
  140. },
  141. {
  142. "cell_type": "code",
  143. "execution_count": 5,
  144. "metadata": {},
  145. "outputs": [],
  146. "source": [
  147. "engine = gf.LocalEngine(store_superdirs=['.']) # The Path to where the gf_store(s)\n",
  148. "store = engine.get_store(store_id) # Load the store."
  149. ]
  150. },
  151. {
  152. "cell_type": "markdown",
  153. "metadata": {},
  154. "source": [
  155. "### Get GlobalCMT Start Model\n",
  156. "We use the GlobalCMT catalog to search for the 2009 Aquila Earthquake and initalize a source for the starting model."
  157. ]
  158. },
  159. {
  160. "cell_type": "code",
  161. "execution_count": 6,
  162. "metadata": {},
  163. "outputs": [],
  164. "source": [
  165. "tmin = util.str_to_time('2009-04-06 00:00:00') # beginning time of query\n",
  166. "tmax = util.str_to_time('2009-04-06 05:59:59') # ending time of query\n",
  167. "event = catalog.GlobalCMT().get_events(\n",
  168. " time_range=(tmin, tmax),\n",
  169. " magmin=6.)[0]\n",
  170. "\n",
  171. "base_source = gf.MTSource.from_pyrocko_event(event)"
  172. ]
  173. },
  174. {
  175. "cell_type": "markdown",
  176. "metadata": {},
  177. "source": [
  178. "### Station and _Target_ Setup\n",
  179. "We use the term _Target_ for a single component of a single station."
  180. ]
  181. },
  182. {
  183. "cell_type": "code",
  184. "execution_count": 7,
  185. "metadata": {},
  186. "outputs": [],
  187. "source": [
  188. "stations_list = model.load_stations('data/aquila_realdata/stations_short.txt')\n",
  189. "for s in stations_list:\n",
  190. " s.set_channels_by_name(*component.split())"
  191. ]
  192. },
  193. {
  194. "cell_type": "markdown",
  195. "metadata": {},
  196. "source": [
  197. "Next we define the `Target` - where to calculate the synthetic seismogram."
  198. ]
  199. },
  200. {
  201. "cell_type": "code",
  202. "execution_count": 8,
  203. "metadata": {},
  204. "outputs": [],
  205. "source": [
  206. "targets=[]\n",
  207. "for s in stations_list:\n",
  208. " target = Target(\n",
  209. " lat=s.lat,\n",
  210. " lon=s.lon,\n",
  211. " store_id=store_id, # The gf-store to be used for this target,\n",
  212. " interpolation='multilinear', # Interpolation method between GFStore nodes\n",
  213. " quantity='displacement',\n",
  214. " codes=s.nsl() + ('BH' + component,))\n",
  215. " targets.append(target)"
  216. ]
  217. },
  218. {
  219. "cell_type": "markdown",
  220. "metadata": {},
  221. "source": [
  222. "### Objective Function\n",
  223. "Now the objective function that will be called by `scipy.optimize`:"
  224. ]
  225. },
  226. {
  227. "cell_type": "code",
  228. "execution_count": 9,
  229. "metadata": {},
  230. "outputs": [],
  231. "source": [
  232. "source = gf.DCSource(\n",
  233. " lat=event.lat,\n",
  234. " lon=event.lon)\n",
  235. "\n",
  236. "def update_source(params):\n",
  237. " s = source\n",
  238. " s.north_shift = float(params[0])\n",
  239. " s.east_shift = float(params[1])\n",
  240. " s.depth = float(params[2])\n",
  241. " s.magnitude = float(params[3])\n",
  242. " s.strike = float(params[4])\n",
  243. " s.dip = float(params[5])\n",
  244. " s.rake = float(params[6])\n",
  245. " s.time = float(event.time - params[7])\n",
  246. " return source\n",
  247. "\n",
  248. "def process_trace(trace, tmin, tmax, lowpass=False, inplace=True):\n",
  249. " if lowpass:\n",
  250. " trace.lowpass(4, f_low)\n",
  251. " trace = trace.chop(tmin, tmax, inplace=inplace)\n",
  252. " trace.taper(taper)\n",
  253. " return trace\n",
  254. "\n",
  255. "iiter = 0\n",
  256. "\n",
  257. "def trace_fit(params, line=None):\n",
  258. " global iiter\n",
  259. " update_source(params)\n",
  260. "\n",
  261. " # Forward model synthetic seismograms\n",
  262. " response = engine.process(source, targets)\n",
  263. " syn_traces = response.pyrocko_traces()\n",
  264. "\n",
  265. " misfits = 0.\n",
  266. " norms = 0.\n",
  267. "\n",
  268. " for obs, syn, target in zip(traces, syn_traces, targets):\n",
  269. " syn_phs = store.t(phase, base_source, target)\n",
  270. " \n",
  271. " tmin = base_source.time + syn_phs - tmin_fit # start before theor. arrival\n",
  272. " tmax = base_source.time + syn_phs + tmax_fit # end after theor. arrival\n",
  273. " \n",
  274. " syn = process_trace(syn, tmin, tmax)\n",
  275. " obs = process_trace(obs, tmin, tmax, lowpass=False, inplace=True)\n",
  276. "\n",
  277. " misfits += num.sqrt(num.sum((obs.ydata - syn.ydata)**2))\n",
  278. " norms += num.sqrt(num.sum(obs.ydata**2))\n",
  279. " \n",
  280. " misfit = num.sqrt(misfits**2 / norms**2)\n",
  281. " \n",
  282. " iiter += 1\n",
  283. "\n",
  284. " if line:\n",
  285. " data = {\n",
  286. " 'y': [misfit],\n",
  287. " 'x': [iiter],\n",
  288. " }\n",
  289. " line.data_source.stream(data)\n",
  290. "\n",
  291. " return misfit"
  292. ]
  293. },
  294. {
  295. "cell_type": "markdown",
  296. "metadata": {},
  297. "source": [
  298. "### Optimisation with SciPy\n",
  299. "We will use `scipy.optimize.differential_evolution` to find a best fitting model. The method is stochastic in nature (does not use gradient methods) to find the minimium, and can search large areas of candidate space, but often requires larger numbers of function evaluations than conventional gradient based techniques. The scipy solver can easily be exchanged for a method of your favor."
  300. ]
  301. },
  302. {
  303. "cell_type": "code",
  304. "execution_count": 10,
  305. "metadata": {},
  306. "outputs": [],
  307. "source": [
  308. "def solve():\n",
  309. " t = time.time()\n",
  310. "\n",
  311. " result = scipy.optimize.differential_evolution(\n",
  312. " trace_fit,\n",
  313. " args=[p],\n",
  314. " bounds=tuple(bounds.values()),\n",
  315. " maxiter=15000,\n",
  316. " tol=0.01,\n",
  317. " callback=update_plot)\n",
  318. "\n",
  319. " source = update_source(result.x)\n",
  320. " source.regularize()\n",
  321. "\n",
  322. " print(\"Time elapsed: %.1f s\" % (time.time() - t))\n",
  323. " print(\"Best model:\\n - Misfit %f\" % trace_fit(result.x))\n",
  324. " print(source)\n",
  325. " return result, source"
  326. ]
  327. },
  328. {
  329. "cell_type": "markdown",
  330. "metadata": {},
  331. "source": [
  332. "#### Plotting of the Convergence"
  333. ]
  334. },
  335. {
  336. "cell_type": "code",
  337. "execution_count": 11,
  338. "metadata": {},
  339. "outputs": [
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  539. " if (root._bokeh_is_loading > 0) {\n",
  540. " console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
  541. " return null;\n",
  542. " }\n",
  543. " if (js_urls == null || js_urls.length === 0) {\n",
  544. " run_callbacks();\n",
  545. " return null;\n",
  546. " }\n",
  547. " console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
  548. " root._bokeh_is_loading = js_urls.length;\n",
  549. " for (var i = 0; i < js_urls.length; i++) {\n",
  550. " var url = js_urls[i];\n",
  551. " var s = document.createElement('script');\n",
  552. " s.src = url;\n",
  553. " s.async = false;\n",
  554. " s.onreadystatechange = s.onload = function() {\n",
  555. " root._bokeh_is_loading--;\n",
  556. " if (root._bokeh_is_loading === 0) {\n",
  557. " console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
  558. " run_callbacks()\n",
  559. " }\n",
  560. " };\n",
  561. " s.onerror = function() {\n",
  562. " console.warn(\"failed to load library \" + url);\n",
  563. " };\n",
  564. " console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
  565. " document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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  567. " };var element = document.getElementById(\"f9db2f47-8d88-4d15-8f78-5d9f999696ae\");\n",
  568. " if (element == null) {\n",
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  570. " return false;\n",
  571. " }\n",
  572. "\n",
  573. " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.10.min.js\"];\n",
  574. "\n",
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  584. " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n",
  585. " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n",
  586. " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n",
  587. " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n",
  588. " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n",
  589. " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n",
  590. " }\n",
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  596. " for (var i = 0; i < inline_js.length; i++) {\n",
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  603. " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
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  607. " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
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  611. "\n",
  612. " if (root._bokeh_is_loading === 0) {\n",
  613. " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
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  616. " load_libs(js_urls, function() {\n",
  617. " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
  618. " run_inline_js();\n",
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  620. " }\n",
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  648. " root.Bokeh.embed.embed_items(docs_json, render_items);\n",
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  682. "Time elapsed: 220.7 s\n",
  683. "Best model:\n",
  684. " - Misfit 1.195396\n",
  685. "--- !pf.DCSource\n",
  686. "lat: 42.29\n",
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  691. "time: 2009-04-06 01:32:54.999995\n",
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  693. "magnitude: 6.200494965363762\n",
  694. "strike: 100.30898362804017\n",
  695. "dip: 59.63065062216228\n",
  696. "rake: -149.96402678887372\n",
  697. "\n"
  698. ]
  699. }
  700. ],
  701. "source": [
  702. "from bokeh.io import push_notebook, show, output_notebook\n",
  703. "from bokeh.plotting import figure\n",
  704. "output_notebook()\n",
  705. "\n",
  706. "f = figure(title='SciPy Optimisation Progress',\n",
  707. " x_axis_label='# Iteration',\n",
  708. " y_axis_label='Misfit',\n",
  709. " plot_width=800,\n",
  710. " plot_height=300)\n",
  711. "p = f.scatter([], [])\n",
  712. "show(f, notebook_handle=True)\n",
  713. "\n",
  714. "def update_plot(*a, **ka):\n",
  715. " push_notebook()\n",
  716. "\n",
  717. "# Start the optimisation\n",
  718. "result, best_source = solve()"
  719. ]
  720. },
  721. {
  722. "cell_type": "markdown",
  723. "metadata": {},
  724. "source": [
  725. "### Plot the Results\n",
  726. "Now we plot the synthetic waveforms produced by our the best model vs. the observed traces."
  727. ]
  728. },
  729. {
  730. "cell_type": "code",
  731. "execution_count": null,
  732. "metadata": {},
  733. "outputs": [],
  734. "source": [
  735. "def plot_traces(result):\n",
  736. " nstations = len(stations_list)\n",
  737. " response = engine.process(source, targets)\n",
  738. " syn_traces = response.pyrocko_traces()\n",
  739. "\n",
  740. " fig, axes = plt.subplots(nstations, squeeze=True, sharex=True)\n",
  741. " fig.subplots_adjust(hspace=0)\n",
  742. " plt.setp([ax.get_xticklabels() for ax in axes[:-1]], visible=False)\n",
  743. "\n",
  744. " for istation, (obs, syn, target) in enumerate(zip(traces, syn_traces, targets)):\n",
  745. " ax = axes[istation]\n",
  746. " tp = store.t(phase, base_source, target)\n",
  747. " tp_onset = base_source.time + tp\n",
  748. " tmin = tp_onset - tmin_fit\n",
  749. " tmax = tp_onset + tmax_fit\n",
  750. " \n",
  751. " syn = process_trace(syn, tmin, tmax)\n",
  752. " obs = process_trace(obs, tmin, tmax, lowpass=False, inplace=False)\n",
  753. " \n",
  754. " s1 = ax.plot(obs.get_xdata(), obs.ydata, color='b')\n",
  755. " s2 = ax.plot(syn.get_xdata(), syn.ydata, color='r')\n",
  756. " s3 = ax.plot([tp_onset, tp_onset], [tr.ydata.min(), tr.ydata.max()], 'k-', lw=2)\n",
  757. "\n",
  758. " ax.text(-.2, 0.5, stations_list[istation].station,\n",
  759. " transform=ax.transAxes)\n",
  760. " ax.set_yticklabels([], visible=False)\n",
  761. "\n",
  762. " axes[-1].set_xlabel('Time [s]')\n",
  763. " plt.suptitle('Waveform fits for %s-Phase and component %s' % (phase, component))\n",
  764. " plt.legend(\n",
  765. " (s1[0], s2[0], s3[0]),\n",
  766. " ('Data', 'Synthetic','%s Phase-onset' % phase),\n",
  767. " loc='upper center',\n",
  768. " bbox_to_anchor=(0.5, -2.),\n",
  769. " fancybox=True, shadow=True, ncol=5)\n",
  770. " \n",
  771. " plt.show()"
  772. ]
  773. },
  774. {
  775. "cell_type": "code",
  776. "execution_count": null,
  777. "metadata": {},
  778. "outputs": [],
  779. "source": [
  780. "def plot_snuffler(result, source):\n",
  781. " engine = gf.get_engine()\n",
  782. " response = engine.process(source, targets)\n",
  783. " syn_traces = response.pyrocko_traces()\n",
  784. " obs_traces = []\n",
  785. " \n",
  786. " for obs, syn, target in zip(traces, syn_traces, targets):\n",
  787. " tp = store.t('P', base_source, target)\n",
  788. " tmin = base_source.time + tp - tmin_fit\n",
  789. " tmax = base_source.time + tp + tmax_fit\n",
  790. "\n",
  791. " syn = process_trace(syn, tmin, tmax)\n",
  792. " obs = process_trace(obs, tmin, tmax, lowpass=False, inplace=False)\n",
  793. "\n",
  794. " obs_traces.append(obs)\n",
  795. "\n",
  796. " trace.snuffle(obs_traces + syn_traces, stations=stations_list, events=events)"
  797. ]
  798. },
  799. {
  800. "cell_type": "markdown",
  801. "metadata": {},
  802. "source": [
  803. "Next we plot the station distribution with https://matplotlib.org/basemap/"
  804. ]
  805. },
  806. {
  807. "cell_type": "code",
  808. "execution_count": 51,
  809. "metadata": {},
  810. "outputs": [
  811. {
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  815. ],
  816. "text/plain": [
  817. "<folium.folium.Map at 0x7f0e65593be0>"
  818. ]
  819. },
  820. "execution_count": 51,
  821. "metadata": {},
  822. "output_type": "execute_result"
  823. }
  824. ],
  825. "source": [
  826. "def plot_stations():\n",
  827. " import folium\n",
  828. " fmap = folium.Map(\n",
  829. " location=[best_source.lat, best_source.lon],\n",
  830. " tiles='Stamen Terrain',\n",
  831. " zoom_start=3)\n",
  832. " folium.Marker([best_source.lat, best_source.lon],\n",
  833. " popup=('2009 Aquila Earthquake'),\n",
  834. " icon=folium.Icon(color='red', icon='info-sign')).add_to(fmap)\n",
  835. " \n",
  836. " for s in stations_list:\n",
  837. " folium.Marker([s.lat, s.lon],\n",
  838. " popup='<b>%s</b></h4>' % s.station).add_to(fmap)\n",
  839. " fmap.add_child(folium.LatLngPopup())\n",
  840. " return fmap\n",
  841. " \n",
  842. "plot_stations()"
  843. ]
  844. },
  845. {
  846. "cell_type": "code",
  847. "execution_count": null,
  848. "metadata": {},
  849. "outputs": [],
  850. "source": [
  851. "plot_traces(result)"
  852. ]
  853. },
  854. {
  855. "cell_type": "markdown",
  856. "metadata": {},
  857. "source": [
  858. "Alternatively we can plot using snuffler, which will open in a seperate window."
  859. ]
  860. },
  861. {
  862. "cell_type": "code",
  863. "execution_count": null,
  864. "metadata": {},
  865. "outputs": [],
  866. "source": [
  867. "plot_snuffler(result)"
  868. ]
  869. }
  870. ],
  871. "metadata": {
  872. "kernelspec": {
  873. "display_name": "Python 3",
  874. "language": "python",
  875. "name": "python3"
  876. },
  877. "language_info": {
  878. "codemirror_mode": {
  879. "name": "ipython",
  880. "version": 3
  881. },
  882. "file_extension": ".py",
  883. "mimetype": "text/x-python",
  884. "name": "python",
  885. "nbconvert_exporter": "python",
  886. "pygments_lexer": "ipython3",
  887. "version": "3.6.3"
  888. }
  889. },
  890. "nbformat": 4,
  891. "nbformat_minor": 2
  892. }