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Clean up taxi example #4

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f6fc074
Updated timings to match actual times
jbednar Sep 8, 2017
ab7ea39
Renamed apps to indicate what each demonstrates
jbednar Sep 8, 2017
dc122b4
Made initial and final apps more similar
jbednar Sep 8, 2017
b6ce5e1
Renamed apps to indicate what each demonstrates
jbednar Sep 8, 2017
85fbac3
Renamed apps to indicate what each demonstrates
jbednar Sep 8, 2017
4291998
Renamed apps to indicate what each demonstrates
jbednar Sep 8, 2017
46cd549
Renamed apps to indicate what each demonstrates
jbednar Sep 8, 2017
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57 changes: 42 additions & 15 deletions notebooks/00-welcome.ipynb
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Expand Up @@ -25,28 +25,28 @@
"source": [
"## Index and Schedule\n",
"\n",
"This 3.5-hour tutorial is broken down into the following sections. Sections marked \"*(Omit)*\" are available for later self study, but there is not expected to be time to present those in detail.\n",
"This 4-hour tutorial is broken down into the following sections. To fit the allotted time, some sections may be omitted or presented only as overviews, but these will be available for later self study.\n",
"\n",
"- *Overview*\n",
"\n",
" *   **5 min**  [0 - Welcome](./00-welcome.ipynb): (This notebook!) Welcome, demos, and setup.\n",
" * **20 min** &nbsp;[1 - Workflow](./01-workflow-introduction.ipynb): Overview of solving a simple but complete data-science task from exploration to deployment.<br><br>\n",
" * **15 min** &nbsp;[0 - Welcome](./00-welcome.ipynb): (This notebook!) Welcome, demos, and setup.\n",
" * **35 min** &nbsp;[1 - Workflow](./01-workflow-introduction.ipynb): Overview of solving a simple but complete data-science task from exploration to deployment.<br><br>\n",
"\n",
"- *Making data visualizable*\n",
" * **30 min** &nbsp;[2 - Annotating your data](./02-annotating-data.ipynb): Using HoloViews Elements to make your data instantly visualizable\n",
" * **35 min** &nbsp;[2 - Annotating your data](./02-annotating-data.ipynb): Using HoloViews Elements to make your data instantly visualizable\n",
" * **20 min** &nbsp;[3 - Customizing visual appearance](./03-customizing-visual-appearance.ipynb): How to change the appearance and output format of elements.\n",
" * **20 min** &nbsp;[4 - Exploration with containers](./04-exploration-with-containers.ipynb): Using HoloViews \"containers\" for quick, easy data exploration.\n",
" * **25 min** &nbsp;[4 - Exploration with containers](./04-exploration-with-containers.ipynb): Using HoloViews \"containers\" for quick, easy data exploration.\n",
" * *(Omit)* &nbsp;&nbsp;&nbsp;[5 - Working with tabular data](./05-working-with-tabular-data.ipynb): Exploring a tabular (columnar) dataset.\n",
" * *(Omit)* &nbsp;&nbsp;&nbsp;[6 - Working with gridded data](./06-working-with-gridded-data.ipynb): Exploring a gridded (n-dimensional) dataset.\n",
" * **30 min** &nbsp;*Break*\n",
"\n",
"\n",
"- *Interactive apps and dashboards*\n",
"\n",
" * **25 min** &nbsp;[7 - Custom interactivity](./07-custom-interactivity.ipynb): Using HoloViews \"streams\" to add interactivity to your visualizations.\n",
" * **30 min** &nbsp;[7 - Custom interactivity](./07-custom-interactivity.ipynb): Using HoloViews \"streams\" to add interactivity to your visualizations.\n",
" * **15 min** &nbsp;[8 - Operations and pipelines](./08-operations-and-pipelines.ipynb): Dynamically transforming your data as needed\n",
" * *(Omit)* &nbsp;&nbsp;&nbsp;[9 - Working with large data](./09-working-with-large-datasets.ipynb): Using datasets too large to feed directly to your browser.\n",
" * **15 min** &nbsp;[10 - Parameters and widgets](./10-parameters-and-widgets.ipynb): Declarative custom controls\n",
" * **05 min** &nbsp;[10 - Parameters and widgets](./10-parameters-and-widgets.ipynb): Declarative custom controls\n",
" * **30 min** &nbsp;[11 - Deploying Bokeh Apps](./11-deploying-bokeh-apps.ipynb): Deploying your visualizations using Bokeh server."
]
},
Expand Down Expand Up @@ -124,7 +124,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from IPython.core import page\n",
Expand Down Expand Up @@ -160,7 +162,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import holoviews as hv\n",
Expand All @@ -177,7 +181,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"hv.extension('bokeh', 'matplotlib')"
Expand All @@ -193,7 +199,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import bokeh\n",
Expand All @@ -214,7 +222,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import os\n",
Expand All @@ -239,7 +249,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"lines = \"\"\"\\\n",
Expand All @@ -259,7 +271,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"rcpath = os.path.join(os.path.expanduser('~'), '.holoviews.rc')\n",
Expand All @@ -270,9 +284,22 @@
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"pygments_lexer": "ipython3"
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.2"
}
},
"nbformat": 4,
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22 changes: 10 additions & 12 deletions notebooks/01-workflow-introduction.ipynb
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Expand Up @@ -46,9 +46,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"metadata": {},
"outputs": [],
"source": [
"import holoviews as hv\n",
Expand Down Expand Up @@ -406,13 +404,13 @@
"class NYCTaxiExplorer(hv.streams.Stream):\n",
" alpha = param.Magnitude(default=0.75, doc=\"Alpha value for the map opacity\")\n",
" colormap = param.ObjectSelector(default=cm[\"fire\"], objects=cm.values())\n",
" plot = param.ObjectSelector(default=\"pickup\", objects=[\"pickup\",\"dropoff\"])\n",
" location = param.ObjectSelector(default=\"pickup\", objects=[\"pickup\",\"dropoff\"])\n",
" passengers = param.Range(default=(0, 10), bounds=(0, 10))\n",
"\n",
" def make_view(self, x_range=None, y_range=None, **kwargs):\n",
" map_tiles = tiles.opts(style=dict(alpha=self.alpha), plot=options) \n",
"\n",
" points = hv.Points(df, kdims=[self.plot+'_x', self.plot+'_y'], vdims=['passenger_count'])\n",
" points = hv.Points(df, kdims=[self.location+'_x', self.location+'_y'], vdims=['passenger_count'])\n",
" selected = points.select(passenger_count=self.passengers)\n",
" taxi_trips = datashade(selected, x_sampling=1, y_sampling=1, cmap=self.colormap,\n",
" dynamic=False, x_range=x_range, y_range=y_range,\n",
Expand All @@ -433,7 +431,7 @@
"metadata": {},
"outputs": [],
"source": [
"explorer = NYCTaxiExplorer(alpha=0.2, plot=\"dropoff\")\n",
"explorer = NYCTaxiExplorer(alpha=0.2, location=\"dropoff\")\n",
"explorer.make_view()"
]
},
Expand All @@ -452,7 +450,7 @@
"metadata": {},
"outputs": [],
"source": [
"explorer = NYCTaxiExplorer()\n",
"explorer = NYCTaxiExplorer(name=\"NYC Taxi Trips\")\n",
"paramnb.Widgets(explorer, callback=explorer.event)\n",
"hv.DynamicMap(explorer.make_view, streams=[explorer, RangeXY()])"
]
Expand All @@ -463,7 +461,7 @@
"metadata": {},
"outputs": [],
"source": [
"explorer = NYCTaxiExplorer()\n",
"explorer = NYCTaxiExplorer(name=\"NYC Taxi Trips\")\n",
"parambokeh.Widgets(explorer, callback=explorer.event)\n",
"hv.DynamicMap(explorer.make_view, streams=[explorer, RangeXY()])"
]
Expand Down Expand Up @@ -519,11 +517,11 @@
"class NYCTaxiExplorer(hv.streams.Stream):\n",
" alpha = param.Magnitude(default=0.75, doc=\"Alpha value for the map opacity\")\n",
" colormap = param.ObjectSelector(default=cm[\"fire\"], objects=[cm[k] for k in cm.keys() if not '_' in k])\n",
" plot = param.ObjectSelector(default=\"pickup\", objects=[\"pickup\",\"dropoff\"])\n",
" location = param.ObjectSelector(default=\"pickup\", objects=[\"pickup\",\"dropoff\"])\n",
" passengers = param.Range(default=passenger_counts, bounds=passenger_counts)\n",
" output = parambokeh.view.Plot()\n",
"\n",
" def make_view(self, x_range, y_range, alpha, colormap, plot, passengers, **kwargs):\n",
" def make_view(self, x_range, y_range, alpha, colormap, location, passengers, **kwargs):\n",
" map_tiles = tiles(style=dict(alpha=alpha), plot=tile_options)\n",
" points = hv.Points(df, kdims=[plot+'_x', plot+'_y'], vdims=['passenger_count'])\n",
" if passengers != passenger_counts: points = points.select(passenger_count=passengers)\n",
Expand Down Expand Up @@ -567,9 +565,9 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python [conda env:hvtutorial]",
"language": "python",
"name": "python3"
"name": "conda-env-hvtutorial-py"
},
"language_info": {
"codemirror_mode": {
Expand Down
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