#Conda install package add env install
#Conda install package add env full

#Conda install package add env install

To add ArcPy, use conda to install ArcPy from the Esri channel on Anaconda Cloud. An environment can be cloned using the Python Package Manager in ArcGIS Pro, or the conda command line application from the Python Command Prompt.Д«eginning with ArcGIS Pro 2.7, you can add ArcPy to an existing Python 3 environment, as long as its package versions are not in conflict. For details on versions, dependencies and channels, see Conda FAQ and Conda Troubleshooting.

#Conda install package add env full

A full uninstallation and reinstallation of ArcGIS Pro may be required.Д¬reate an environment with ArcPy by cloning arcgispro-pењ“. To install into a named environment, run: conda install package-name2.3.4 -n some-environment If the package is specific to a Python version, conda uses the version installed in the current or named environment. If the arcgispro-pењ“ environment is in a bad state, functionality in the ArcGIS Pro application (which uses the arcgispro-pењ“ environment) can also be in a bad state. This is recommended because the customization of an environment can make it unusable in some cases. These commands will download the miniconda installer, run it, and install it to. Now, you can create new environments and the default packages will be installed in all of them.

To customize your Python environment, create a Python environment, then activate and customize your new environment. conda is used for package, dependency and environment managing that is. To automatically add default packages to each new environment that you create: Open Anaconda Prompt or terminal and run: conda config-add createdefaultpackages PACKAGENAME1 PACKAGENAME2. Once you activate the conda environment, you can install any package you want - just type conda install .

The ArcPy package is part of the default Python distribution arcgispro-pењ“ that is provided with ArcGIS Pro and ArcGIS Server.Д¬ustomization of the arcgispro-pењ“ Python environment through the addition of Python packages or other modifications is discouraged.