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how to convert a feature layer to point

MVAC

Hello,

I'm using jupyter notebooks (localhost, not in pro or AGOL), and I want to convert a feature layer to point. I've been trying to do it using arcpy.FeatureToPoint_management() but I'm having some issues:

parcels_id = 'the id'

# get layer

parcels = gis.content.get(parcels_id)

# get the required layer
parcels_layer = parcels.layers[0]

# variables
inFeatures = parcels_layer
outFeatureClass =  i dont know how to address this part

# feature to point
arcpy.FeatureToPoint_management(inFeatures, outFeatureClass, "INSIDE")

For the outFeatureClass, how can I do it to save it in a folder i have in my AGOL? is the inFeatures ok?

Thanks

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Accepted answers

jcarlson

Here's a purely ArcGIS Python API way of doing this. Well, plus a little pandas.

Query the layer
1. Return as a dataframe
2. Return centroid instead of geometry
The centroid is just a JSON object, not a true shape, so we need to convert it.
1. Export the centroid column to a dict
2. Read the dict back into its own dataframe
3. Convert the x/y columns to a true shape
Export the spatial dataframe to a new layer in your portal

from arcgis import GIS, GeoAccessor
import pandas as pd

# connect to portal
gis = GIS('your url', 'username')

# get parcel layer
parcels = gis.content.get('parcels itemid').layers[0]

# set our spatial reference
sr = 4326 # or whatever your spatial reference is

# query features to dataframe
df = parcels.query(
    as_df = True,
    return_centroid = True,
    return_geometry = False,
    out_sr = sr
)

# convert centroid to dict
# ordinarily I don't like long single lines, but there's no point in assigning all the intermediate outputs to their own variables
sdf = GeoAccessor.from_xy(df.join(pd.DataFrame(df.loc[:, 'centroid'].to_dict()).T), 'x', 'y', sr=sr)

# drop the centroid columns
sdf.drop(columns=['x', 'y', 'centroid', 'objectid'], inplace=True)

# export to new feature class
sdf.spatial.to_featurelayer(
    title = 'My Awesome Parcel Centroids',
    gis = gis,
    tags = ['parcels', 'centroids', 'outputs'],
    folder = 'My Outputs',
    sanitize_columns = True,
    service_name = 'parcels_centroids'
)

You can just as easily export to other formats if you like.

Alternatively, you can use the GeoSeriesAccessor to take a spatial polygon column and derive the true_centroid of each, then assign the dataframe's shape attribute to that, but I tend to find the text → dict → x/y method performs a lot faster.

All comments

MVAC

Thank you very much!

Is there a way to overwrite the feature layer every time I run the code?

jcarlson

Here's a purely ArcGIS Python API way of doing this. Well, plus a little pandas.

Query the layer
1. Return as a dataframe
2. Return centroid instead of geometry
The centroid is just a JSON object, not a true shape, so we need to convert it.
1. Export the centroid column to a dict
2. Read the dict back into its own dataframe
3. Convert the x/y columns to a true shape
Export the spatial dataframe to a new layer in your portal

from arcgis import GIS, GeoAccessor
import pandas as pd

# connect to portal
gis = GIS('your url', 'username')

# get parcel layer
parcels = gis.content.get('parcels itemid').layers[0]

# set our spatial reference
sr = 4326 # or whatever your spatial reference is

# query features to dataframe
df = parcels.query(
    as_df = True,
    return_centroid = True,
    return_geometry = False,
    out_sr = sr
)

# convert centroid to dict
# ordinarily I don't like long single lines, but there's no point in assigning all the intermediate outputs to their own variables
sdf = GeoAccessor.from_xy(df.join(pd.DataFrame(df.loc[:, 'centroid'].to_dict()).T), 'x', 'y', sr=sr)

# drop the centroid columns
sdf.drop(columns=['x', 'y', 'centroid', 'objectid'], inplace=True)

# export to new feature class
sdf.spatial.to_featurelayer(
    title = 'My Awesome Parcel Centroids',
    gis = gis,
    tags = ['parcels', 'centroids', 'outputs'],
    folder = 'My Outputs',
    sanitize_columns = True,
    service_name = 'parcels_centroids'
)

You can just as easily export to other formats if you like.

danretired

You will have to wade through the help topic for it

arcgis.features.analysis module — plan_routes

MVAC

Would it be possible to do it on the notebook? I just checked and I don't need to save the point layer. I need this point layer to use arcgis.features.analysis.plan_routes() because I want to automate some stuff on workforce.

danretired

Moved this thread to the arcgis-api-for-python since it isn't python specific.

If you want to use the FeatureToPoint tool work local and upload the result. Especially for shapefiles, you can only upload a zip of its parts

ABishop

Hello MVAC,

Not sure about using the feature to point to save directly to AGOL. I have a feature that I create from a feature class in our versioned geodatabase with definition query applied and saved to a project in ArcGIS Pro. I then upload it using the script below. Hope this helps.

import arcpy, os, sys
from arcgis.gis import GIS
from datetime import datetime
import ctypes
ctypes.windll.kernel32.SetConsoleTitleW('AgUseParcelsFeatureServiceUpdate')

### Start setting variables
# Set the path to the project
prjPath = r"I:\users\abishop\PY\FeatureServiceUpdates\AgUseParcels\AgUseParcels.aprx"

# Update the following variables to match:
# Feature service/SD name in arcgis.com, user/password of the owner account
sd_fs_name = "Agricultural_Use_Parcels"
portal = "https://mcpafl.maps.arcgis.com/" # ArcGIS Online account
user = "abishop_MCPAFL"
password = "********"

# Set sharing options
shrOrg = True
shrEveryone = False
shrGroups = ""

### End setting variables

# Local paths to create temporary content
relPath = os.path.dirname(prjPath)
sddraft = os.path.join(relPath, "WebUpdate.sddraft")
sd = os.path.join(relPath, "WebUpdate.sd")

# Create a new SDDraft and stage to SD
print("Creating SD file")
arcpy.env.overwriteOutput = True
prj = arcpy.mp.ArcGISProject(prjPath)
mp = prj.listMaps()[0]
arcpy.mp.CreateWebLayerSDDraft(mp, sddraft, sd_fs_name, "MY_HOSTED_SERVICES", "FEATURE_ACCESS","", True, True, allow_exporting=True)
arcpy.StageService_server(sddraft, sd)

print("Connecting to {}".format(portal))
gis = GIS(portal, user, password)

# Find the SD, update it, publish /w overwrite and set sharing and metadata
print("Search for original SD on portal…")
sdItem = gis.content.search("{} AND owner:{}".format(sd_fs_name, user), item_type="Service Definition")[0]
print("Found SD: {}, ID: {} n Uploading and overwriting…".format(sdItem.title, sdItem.id))
sdItem.update(data=sd)
print("Overwriting existing feature service…")
fs = sdItem.publish(overwrite=True)

if shrOrg or shrEveryone or shrGroups:
 print("Setting sharing options…")
fs.share(org=shrOrg, everyone=shrEveryone, groups=shrGroups)

print("Finished updating: {} – ID: {}".format(fs.title, fs.id))

#provide input to stop script - uncomment input below if you need to see the script final output in the command window
input('Press ENTER to exit')

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