1.7 Animate (solution).ipynb

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   "source": [
    "<h1 align='center'>Bokeh Tutorial</h1>"
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   "source": [
    "## 1.7 Animate"
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   "source": [
    "**Exercise: Animate the climate map**\n",
    "\n",
    "Create a loop that updates the data source of the `climate_map` through time (for every month and year). You'll need to use the bokeh-server.\n",
    "\n",
    "*Note: when using the output_server make sure that your data source doesn't contain `nans`*"
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    "# Imports\n",
    "import numpy as np\n",
    "import netCDF4\n",
    "\n",
    "from bokeh.plotting import vplot, hplot, cursession, output_server, show\n",
    "\n",
    "from viz import climate_map, timeseries, legend, get_slice  "
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   "source": [
    "# Data\n",
    "data = netCDF4.Dataset('data/Land_and_Ocean_LatLong1.nc')\n",
    "t = data.variables['temperature']"
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     "text": [
      "Using saved session configuration for http://localhost:5006/\n",
      "To override, pass 'load_from_config=False' to Session\n"
     ]
    }
   ],
   "source": [
    "# Output option\n",
    "output_server(\"climate\")"
   ]
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    "# Plots\n",
    "climate_map = climate_map()\n",
    "timeseries = timeseries()\n",
    "legend = legend()"
   ]
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   "source": [
    "# Create layout\n",
    "map_legend = hplot(climate_map, legend)\n",
    "layout = vplot(map_legend, timeseries)"
   ]
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   "cell_type": "code",
   "execution_count": 14,
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   "source": [
    "# Show\n",
    "show(layout)"
   ]
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   "cell_type": "code",
   "execution_count": 15,
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   "source": [
    "# Select data source for climate_map\n",
    "renderer = climate_map.select(dict(name=\"image\"))\n",
    "ds = renderer[0].data_source"
   ]
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   "execution_count": 16,
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    "# Create a loop that goes through month and year and updates the image data\n",
    "import time\n",
    "\n",
    "for year_index in np.arange(2000, 2015, 1):\n",
    "    for month_index in np.arange(1, 13, 1):\n",
    "        image = get_slice(t, year_index, month_index)\n",
    "        ds.data[\"image\"] = [image]\n",
    "        cursession().store_objects(ds)\n",
    "        time.sleep(0.2)"
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