Is it possible to install geopandas into the arcgispro-py3 environment without any problems?
Note that geopandas is not found when trying to Add Packages in the ArcGIS Pro Python
Package Manager. From the command line (conda install -c Conda-Forge geopandas) gives
missing write permission and suggest creating a clone environment. This clone environment
does not contain arcpy. Please help with the proper way to do this as geopandas would be
useful with arcpy.
there is the 'arcgis' module instead. they keep a pretty close eye on what can be installed inside their conda environment. Create a separate conda distribution if you need to work with geopandas and the like... but you won't have arcpy
Thanks for the advice about using the 'arcgis' module instead of geopandas. However, I need
to extract the coordinates (x and y) from the spatial data frame geometry SHAPE item. I am
not a very experienced Python programmer and what seems to be a dictionary inside a pandas
series is not what I have figured out how to read. Any suggestions about how to do this would
be greatly appreciated!
Also, I thought about using geopandas because I was having problems reading and writing files
using the SSDO (earlier GeoNet posting). There have been so far no replies. I did do a test on
one of my PCs where I changed the protections on the arcgispro-py3 folder and installed geopandas.
ArcGIS Pro still seems to work and I can use geopandas with arcpy, but not sure of any problems
that this may have caused.
If necessary I think I can split my work between two Python environments (arcgispro-py3 and
another with geopandas). I would really just like to use only the arcgispro-py3 environment.
Larry Spear M.A., GISP Phone: (505) 260-1810
Sr. Research Scientist (Ret.) Cell: (505) 401-5756
Division of Government Research Email: firstname.lastname@example.org<mailto:email@example.com>
Non-degree Student URL: http://www.unm.edu/~lspear
University of New Mexico
Albuquerque, New Mexico 87131
I have been blogging about some stuff... not all done, but these might get you started
Now if you want them in a particular format, you can explore. the option. ie a Pandas dataframe, a numpy array, a list? as a point featureclass