Python and georeferencing data issue

I am attempting to create a weather radar website. I am well on my way, but I have run into an issue with projecting the radar data. My issue is I need the script to do the following: Py-ART handles radar data processing, while MetPy's azimuth_range_to_lat_lon is used for geospatial calculations, and Cartopy is utilized for plotting. I also included an updated script for what I have right now... unfortunately, the conversion is occupying a massive amount of data (which isn't correct..... I have to figure out the issue). The MetPy information for doing the conversion to lat / lon coordinates for the data is https://unidata.github.io/MetPy/latest/examples/formats/NEXRAD_Level_2_File.html#sphx-glr-examples-formats-nexrad-level-2-file-py

Example radar data: https://noaa-nexrad-level2.s3.amazonaws.com/2024/02/20/KLCH/KLCH20240220_185813_V06

The memory allocation issue likely occurs during the transformation into latitude and longitude coordinates, but I am not certain.

The radar data should look like rain data (reflectivity which is green / yellow) in the attached file.

Portions of the script are attached as Script2.txt

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