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Cleaned up dashboard notebook
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@philippjfr
philippjfr committed Apr 18, 2016
1 parent 95d8900 commit 4f1c6e4
Showing 1 changed file with 172 additions and 41 deletions.
213 changes: 172 additions & 41 deletions notebooks/Dashboard_Demo.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,7 @@
"import numpy as np\n",
"import holoviews as hv\n",
"import holocube as hc\n",
"from matplotlib.cm import cmap_d\n",
"from cartopy import crs as ccrs\n",
"\n",
"from cartopy import feature as cf\n",
"from paramnb import NbParams, FileSelector\n",
"\n",
Expand All @@ -30,7 +29,13 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"urth": {
"dashboard": {
"hidden": true
}
}
},
"source": [
"Declaring a set of widgets using paramNB is as simply as declaring a Parameterized class. Here we declare a ``CubeLoader`` class with a ``FileSelector`` parameter, a cache and a load method, which will load cubes from a file on disk. The ``NbParams`` function accepts the ``CubeLoader`` instance and generates a dropdown widget for the ``cube_path`` from it. By declaring a callback we can tell it to load the file from disk (or the cache) whenever the user executes the widget. Finally we can declare the ``execute`` mode, which allows declaring no execution with ``execute=None`` or adds a button to execute the 'next' cell or all cells 'below'."
]
Expand All @@ -56,26 +61,24 @@
"class CubeLoader(param.Parameterized):\n",
" \n",
" cube_path = FileSelector(default='files/*.pp')\n",
"\n",
" cache = {}\n",
" cubes = None\n",
" \n",
" def __init__(self, **params):\n",
" super(CubeLoader, self).__init__(**params)\n",
" self.cache = {}\n",
" self.cubes = None\n",
" \n",
" def load(self, cube_loader):\n",
" if self.cube_path not in self.cache:\n",
" cubelist = iris.load(self.cube_path)\n",
" @classmethod\n",
" def load(cls, cube_loader):\n",
" if cls.cube_path not in cls.cache:\n",
" cubelist = iris.load(cls.cube_path)\n",
" for c in cubelist:\n",
" c.coord('grid_longitude').guess_bounds()\n",
" c.coord('grid_latitude').guess_bounds()\n",
" self.cache[self.cube_path] = cubelist\n",
" cls.cache[cls.cube_path] = cubelist\n",
" else:\n",
" cubelist = self.cache[self.cube_path]\n",
" cubelist = cls.cache[cls.cube_path]\n",
" cubes = {cb.vdims[0].name:cb for cb in [hc.HoloCube(c) for c in cubelist]} # Load cubes into dictionary\n",
" self.cubes = {k:v for k,v in cubes.items() if k!='unknown'} # Filter as desired\n",
" cls.cubes = {k:v for k,v in cubes.items() if k!='unknown'} # Filter as desired\n",
"\n",
"cube_loader = CubeLoader()\n",
"NbParams(cube_loader, execute='next', callback=cube_loader.load)"
"NbParams(CubeLoader, execute='next', callback=CubeLoader.load)"
]
},
{
Expand All @@ -96,28 +99,49 @@
},
"outputs": [],
"source": [
"# Next we declare a more complex ``CubeBrowser`` class, which will define the various options on what to display and how to display it.\n",
"# We add parameters to control the cmap, quantity, element and projection and populate these with useful options.\n",
"\n",
"def all_subclasses(cls):\n",
" return cls.__subclasses__() + [g for s in cls.__subclasses__()\n",
" for g in all_subclasses(s)]\n",
"from cartopy import crs as ccrs\n",
"from matplotlib.cm import cmap_d\n",
"\n",
"projections = {crs.__name__: crs for crs in all_subclasses(ccrs.CRS)\n",
" if hasattr(crs, '_as_mpl_axes') and not crs.__name__[0] == '_'}\n",
"projections = {k: crs for k, crs in param.concrete_descendents(ccrs.CRS).items()\n",
" if hasattr(crs, '_as_mpl_axes') and not k[0] == '_'}\n",
"\n",
"class CubeBrowser(param.Parameterized):\n",
" \"\"\"\n",
" CubeBrowser defines a small example GUI to demonstrate\n",
" how to define a small set of widgets to control plotting\n",
" of an iris Cube. It exposes control over the colormap,\n",
" the quantity to be plotted, the element to plot it with\n",
" and the projection to plot it on.\n",
" \"\"\"\n",
"\n",
" cmap = param.ObjectSelector(default='viridis', objects=list(cmap_d.keys()))\n",
" cmap = param.ObjectSelector(default='viridis',\n",
" objects=list(cmap_d.keys()))\n",
"\n",
" quantity = param.ObjectSelector(default=cube_loader.cubes.keys()[0], objects=list(cube_loader.cubes.keys()))\n",
" quantity = param.ObjectSelector(default=CubeLoader.cubes.keys()[0],\n",
" objects=list(CubeLoader.cubes.keys()))\n",
"\n",
" element = param.ObjectSelector(default=hc.Image, objects=[hc.Image, hc.Contours])\n",
" element = param.ObjectSelector(default=hc.Image,\n",
" objects=[hc.Image, hc.Contours])\n",
"\n",
" projection = param.ObjectSelector(default='PlateCarree', objects=list(projections.keys()))\n",
" projection = param.ObjectSelector(default='default',\n",
" objects=['default']+sorted(projections.keys()))\n",
" \n",
" cache = {}\n",
"\n",
" @classmethod\n",
" def view(cls):\n",
" key = (cls.quantity, cls.element)\n",
" if key in CubeBrowser.cache:\n",
" converted = cls.cache[key]\n",
" else:\n",
" holocube = CubeLoader.cubes[cls.quantity]\n",
" converted = holocube.to(cls.element, ['grid_longitude', 'grid_latitude'], dynamic=True)\n",
" cls.cache[key] = converted\n",
" styled = converted(style={cls.element.name: dict(cmap=cls.cmap)})\n",
" projection = projections[cls.projection]() if cls.projection != 'default' else None\n",
" projected = styled({'Image': dict(plot=dict(projection=projection))}) if projection else styled\n",
" return (projected * hc.GeoFeature(cf.COASTLINE)(plot=dict(scale='50m')))\n",
"\n",
"NbParams(CubeBrowser, execute='next')"
]
},
Expand All @@ -130,9 +154,9 @@
"dashboard": {
"layout": {
"col": 0,
"height": 33,
"height": 36,
"row": 7,
"width": 11
"width": 12
}
}
}
Expand All @@ -141,21 +165,128 @@
"source": [
"# Finally we can declare a cell which uses the settings defined via the widgets to render the requested plot.\n",
"# We simply look up the correct cube, convert it to the desired Element type and then display it with the requested options.\n",
"\n",
"key = (CubeBrowser.quantity, CubeBrowser.element)\n",
"if key in CubeBrowser.cache:\n",
" converted = CubeBrowser.cache[key]\n",
"else:\n",
" holocube = cube_loader.cubes[cube_browser.quantity]\n",
" converted = holocube.to(cube_browser.element, ['grid_longitude', 'grid_latitude'], dynamic=True)\n",
" CubeBrowser.cache[key] = converted\n",
"styled = converted(style={cube_browser.element.name: dict(cmap=cube_browser.cmap)})\n",
"projection = projections[cube_browser.projection]()\n",
"(styled * hc.GeoFeature(cf.COASTLINE)(plot=dict(scale='50m'))(plot=dict(projection=projection)))"
"CubeBrowser.view()"
]
}
],
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