Accepted Solutions
plot() is a method on a License, not LicenseManager. So, from your example you would just grab one of the licenses returned and plot from there:
licenses = gis.admin.license.all()
licenses[0].plot()
This would return something like this:
plot() is a method on a License, not LicenseManager. So, from your example you would just grab one of the licenses returned and plot from there:
licenses = gis.admin.license.all()
licenses[0].plot()
This would return something like this:
I don't know of a specific method for this, but one way to do it would be to run a user search and then get the userLicenseTypeId (this was formerly userType so try both if you run into unexpected results in your version) value for each User object. The userLicenseTypeId values correspond to the userLicenseTypeId values described in REST API documentation:
creatorUT | editorUT | GISProfessionalAdvUT | GISProfessionalBasicUT | GISProfessionalStdUT | viewerUT | fieldWorkerUT
From there, you should have the data necessary to create your own plot/table. It's been a long while since I've had to do anything with Users/Content, but something like this should get you started:
import pandas as pd
from arcgis.gis import GIS
gis = GIS("https://machine.domain.com/portal", "username", "password")
users = gis.users.search('*', max_users=1000)
df = pd.DataFrame(users)
df.userLicenseTypeId.value_counts().plot(kind='bar', title="User Type Plot")
For simplicity, I use the user search results directly here, but ideally you would just grab the things you actually need from the User objects (if you don't, you may notice a performance hit especially with larger results). For example:
users = [{"username": user.username, "userLicenseTypeId": user.userLicenseTypeId } for user in gis.users.search('*', max_users=1000)]
Anyhow, this should yield a plot like this one:
