Draw circle around geographic locations sized by given radius values

[Hearth]

I'm trying to portray on a map the amount of water injected in a series of SWD wells.  I calculated a theoretical radius for each SWD well based on its cumulative injection volume.  I was trying to use these values in the "Draw Circular Radius Data Function" but it appears it can only handle 1 radius value which is applied to every well, and not a value for each well.  I could be wrong and handling the inputs section incorrectly, but if not, is this possible through another method?  Any help is greatly appreciated. 

[Hearth]

Apologies, I figured out how to change the parameter type of the input to a column.  Once I did that though, I'm getting the below error that I'm unsure how to fix. 

[Gaia Paolini]

what version of Spotfire are you on?

[Hearth]

I was previously on 12.5, but just downloaded the 14.4 version, and I'm still getting the same error. That error only happens if I tell it to limit by the map marking.  If I don't, I don't get that error, but the map will zoom way out and not draw any circles.  The only way it will draw a circle is if I set the circular radius to a fixed value.

[Gaia Paolini]

We are developing Python functionality for geospatial analysis. That also covers generating circles. The new function also assumes fixed radii but can be tweaked.
Interesting use case and I will make sure to make it easier to use variable radii in the next version.

It's new functionality so no supporting articles yet.

You should be able to see and install the "spotfire_dsml" Python package (top menu > Tools > Python Tools > Package management).
I tried it with a table containing a latitude, longitude, id and radius for ten fictitious items.
I am attaching the Spotfire example. It was saved with Spotfire 14.0.
It reacts to marking, I added a bit of code so that if nothing is marked it returns an empty table.

I added a couple of Iron Python buttons to remove markings or mark all, you might need to trust them.

This is the Python data function: input is a data table (locations) with columns Latitude, Longitude, Radius and ID.
Also input is the units for the radius (e.g. km, miles or meters).
The output is a new data table (circle_buffer) rendered as a feature layer.
 

# Python libraries
import pandas as pd
#Spotfire-dsml libraries
from spotfire_dsml.geo_analytics import shape_utilities, io_utilities


#If nothing is marked return empty circle
if locations.shape[0] == 0: 
    circle_buffer = pd.DataFrame({'geometry':['N/A']})

else:
    # Using fixed column names in this example
    radius = locations['Radius'].tolist()
    latitude = locations['Latitude'].tolist()
    longitude = locations['Longitude'].tolist()
    # Optional: add id of original point to generated circles
    id = locations['ID']
    
    # Create circle buffers around the points
    for i in range(locations.shape[0]):
        # Argument circle_id is optional
        circle_buffer_i = shape_utilities.create_circle_buffer(radius[i],radius_units,[latitude[i]], [longitude[i]], circle_id=pd.Series([id[i]]))
        if i==0:
            circle_buffer = circle_buffer_i.copy()
        else:
            circle_buffer = pd.concat([circle_buffer,circle_buffer_i])


    # Format buffer for export to Spotfire
    circle_buffer = io_utilities.prepare_geo_dataframe_for_spotfire(circle_buffer)

Radius.txt

Circle_buffers_multiple_radii_with_marking.dxp

[Hearth]

This worked great, thank you, Gaia!