Zach

gdf.to_crs(epsg:4326) worked in the end. Had to spend a while troubleshooting my environment and geopandas' dependencies to get this to work. Thank you!!

Hi Reyalino, I've tried this and hit a: RuntimeError: b'no arguments in initialization list' despite having set the geodataframe with a valid crs. I am looking into this now and troubleshooting, but are there other options to transform? It would be great if I could define a function to apply the transformation. I don't know the underlying math, which prevents me from doing this.

Hi readers, I have a dataset of ~60,000,000 rows of lidar point data. All spatial reference points are projected using ESRI:102673 (full WKT here: https://epsg.io/102673). I need to convert this to latitude and longitude, EPSG:4326, so that I can overlay other layers and have them match up in the same spacial reference. I am using Python, so any transformation I can do using numpy or pandas will work, or any other free software that gets the job done would be great. This tool (https://www.ngs.noaa.gov/NCAT/) does exactly what I need, for reference, but only takes up to ~10,000 points at a time, which won't work for my purposes. Thanks in advance.