def enrich_layer(input_layer,
data_collections=[],
analysis_variables=[],
country=None,
buffer_type=None,
distance=None,
units=None,
output_name=None,
context=None,
gis=None,
estimate=False,
return_boundaries=False,
future=False):
"""
.. image:: _static/images/enrich_layer/enrich_layer.png
The ``enrich_layer`` method enriches your data by getting facts about the people, places, and businesses that surround
your data locations. For example: What kind of people live here? What do people like to do in this area? What are
their habits and lifestyles? What kind of businesses are there in this area?
The result will be a new layer of input features that includes all demographic and geographic information from given data collections.
===================================================================== ====================================================================
**Parameter** **Description**
--------------------------------------------------------------------- --------------------------------------------------------------------
input_layer Required layer. The features to enrich with new data. See :ref:`Feature Input<FeatureInput>`.
--------------------------------------------------------------------- --------------------------------------------------------------------
data_collections Optional list of strings. This optional parameter defines the collections of data you want to use to enrich your features.
Its value is a list of strings. If you don't provide this parameter, you must provide the analysis_variables parameter.
For more information about data collections and the values for this parameter, visit the `Esri Demographics site <http://doc.arcgis.com/en/esri-demographics/data/data-browser.htm>`_.
--------------------------------------------------------------------- --------------------------------------------------------------------
analysis_variables Optional list of strings. The parameter defines the specific variables within a data collection you want to use to
your features. Its value is a list of strings in the form of "dataCollection.VariableName". If you don't provide
this parameter, you must provide the dataCollections parameter. You can provide both parameters.
For example, if you want all variables in the KeyGlobalFacts data collection, specify it in the dataCollections
parameter and use this parameter for specific variables in other collections.
For more information about variables in data collections, visit the `Esri Demographics site <http://doc.arcgis.com/en/esri-demographics/data/data-browser.htm>`_. Each data collection
has a PDF file describing variables and their names.
--------------------------------------------------------------------- --------------------------------------------------------------------
country Optional string. This optional parameter further defines what is returned from data collection.
For example, your input features may be countries in Western Europe, and you want to enrich them with the
KeyWEFacts data collection. However, you only want data for France, not every country in your input layer.
The value is the two-character country code.
For more information about data collections and the values for this parameter, visit the `Esri Demographics site <http://doc.arcgis.com/en/esri-demographics/data/data-browser.htm>`_.
--------------------------------------------------------------------- --------------------------------------------------------------------
buffer_type (Required if input_layer contains point or line features) Optional string. If your input features are points or lines, you must define an area around your features that you want to enrich. Features that are within (or equal to) the distances you enter will be enriched.
Choice list: ['StraightLine', 'Driving Distance', 'Driving Time ', 'Rural Driving Distance', 'Rural Driving Time', 'Trucking Distance', 'Trucking Time', 'Walking Distance', 'Walking Time']
--------------------------------------------------------------------- --------------------------------------------------------------------
distance (Required if input_layer contains point or line features) Optional float. A value that defines the search distance or time. The units of the distance value is supplied by the units parameter.
--------------------------------------------------------------------- --------------------------------------------------------------------
units Optional string. The linear unit to be used with the distance value(s) specified in the distance parameter.
Choice list: ['Meters', 'Kilometers', 'Feet', 'Yards', 'Miles', 'Seconds', 'Minutes'. 'Hours']
--------------------------------------------------------------------- --------------------------------------------------------------------
output_name Optional string. If provided, the task will create a feature service of the results.
You define the name of the service. If output_name is not supplied, the task will return a feature collection.
--------------------------------------------------------------------- --------------------------------------------------------------------
context Optional string. Context contains additional settings that affect task execution. For ``enrich_layer`` method, there are two settings.
#. Extent (extent)-a bounding box that defines the analysis area. Only those features in the input_layer that intersect the bounding box will be analyzed.
#. Output Spatial Reference (outSR) the output features will be projected into the output spatial reference.
--------------------------------------------------------------------- --------------------------------------------------------------------
gis Optional, the GIS on which this tool runs. If not specified, the active GIS is used.
--------------------------------------------------------------------- --------------------------------------------------------------------
estimate Optional Boolean. If True, the number of credits to run the operation will be returned.
--------------------------------------------------------------------- --------------------------------------------------------------------
return_boundaries Optional boolean. Applies only for point and line input features. If True, a result layer of areas is returned.
The returned areas are defined by the specified buffer_type. For example, if using a buffer_type of StraightLine with
a distance of 5 miles, your result will contain areas with a 5 mile radius around the input features and requested
analysis_variables variables. If False, the resulting layer will return the same features as the input layer with
analysis_variables variables.
The default value is False.
--------------------------------------------------------------------- --------------------------------------------------------------------
future Optional boolean. If True, the result will be a GPJob object and results will be returned asynchronously.
===================================================================== ====================================================================
:returns result_layer : feature layer Item if output_name is specified, else Feature Collection.
.. code-block:: python
USAGE EXAMPLE: To enrich US block groups with population as analysis variable.
blkgrp_enrich = enrich_layer(block_groups,
analysis_variables=["AtRisk.MP27002A_B"],
country='US',
output_name='enrich layer')
"""
kwargs = locals()
gis = _arcgis.env.active_gis if gis is None else gis
params = inspect_function_inputs(
fn=gis._tools.featureanalysis._tbx.enrich_layer, **kwargs)
if isinstance(buffer_type, str):
if buffer_type != 'StraightLine':
route_service = network.RouteLayer(
gis.properties.helperServices.route.url, gis=gis)
buffer_type = [
i for i in route_service.retrieve_travel_modes()
['supportedTravelModes'] if i['name'] == buffer_type
][0]
if 'buffer_type' in params:
params['buffer_type'] = buffer_type
else:
pass
return gis._tools.featureanalysis.enrich_layer(**params)
from IPython.display import HTML
import json
import pandas as pd
from arcgis.gis import GIS
import arcgis.network as network
import arcgis.geocoding as geocoding
user_name = 'arcgis_python'
password = '******'
my_gis = GIS('https://www.arcgis.com', user_name, password)
route_service_url = my_gis.properties.helperServices.route.url
route_service_url
route_service = network.RouteLayer(route_service_url, gis=my_gis)
route_service
address_1 = input()
address_2 = input()
stop1_address = address_1
stop2_address = address_2
stop1_geocoded = geocoding.geocode(stop1_address)
stop2_geocoded = geocoding.geocode(stop2_address)
stops = '{0},{1}; {2},{3}'.format(stop1_geocoded[0]['attributes']['X'],
stop1_geocoded[0]['attributes']['Y'],
stop2_geocoded[0]['attributes']['X'],
stop2_geocoded[0]['attributes']['Y'])