Access it through the ArcGIS Pro backstage area: Step: 2 Install the arcgis package Install using ArcGIS Pro Python Package ManagerĪrcGIS Pro 1.4 and later provide the Python Package Manager GUI to download and install any conda package. Once the Anaconda software is installed, proceed to Install the arcgis package with the Anaconda for Python Distribution to install the API. Since the ArcGIS API for Python requires Python 3.5 or later, proceed to the Anaconda download page and download the appropriate 3x version of the Anaconda software: Get Conda with Anaconda for Python DistributionĪnaconda installs Python, conda for package management and many useful Python packages. ArcGIS Pro 1.3 ships with conda installed. Proceed to Install using Python Command Prompt for instructions on installing the arcgis package. ArcGIS Pro 1.4 ships with conda installed. Proceed to Install with ArcGIS Pro Python Package Manager for instructions on installing the arcgis package. ArcGIS Pro 2.1 and later releases ship with conda and the arcgis package pre-installed. Proceed to Using the API for instructions. See below for options to install both conda and the arcgis package: Step 1: Get Conda Get Conda with ArcGIS Pro Conda is a popular Python package and environment manager application that helps you install and update packages such as the ArcGIS API for Python and their dependencies. The ArcGIS API for Python is distributed as a conda package named arcgis. and keep your imported packages intact.There are multiple ways in which you can experience the ArcGIS API for Python. This should overwrite the files related to spyder, jupyter. What you need to do then is copy the contents of ENV2 into those of ENV1 and replace files. My solution to this was to clone the base environment in the offline machine into a new environment that i will refer to as ENV2. You will notice though that software like spyder and jupyter don't work anymore (probably because of path differences). This first step should get your new environment to respond to commands like conda activate. Copy the desired environment folder into your offline machine's directory for anaconda environments. I suggest compressing the folder but you could just use it as is. I will refer to this as ENV1 You will have to go to this environment directory and locate it. So i suppose you have a machine where you have a conda environment in which you've installed all the packages you need. It's not very pretty but it gets the job done. And extract the environment from the archive into the env directory on the offline machine. Check "envs directories" from conda info. Go there and package the whole sub-folder named "myvenv" (the env name in previous step) into an archive.Ĭopy the archive to your offline machine. The 1st value of key "envs directories" is the location. Install all packages using copies instead of hard- orįind where the environments are stored with conda info # create a env named "myvenv", name it whatever you want Install the packages you need in an isolated virtual environment. Get conda installed on another machine with same OS. It's totally absurd to download all these dependencies one by one and install them on the offline machine. Meta packages,are packages do not contain actual softwares and simply depend on other packages to be installed. Cause anaconda is a meta package depends on another 160+ packages. The dependency is especially heavy in anaconda. When you install a package online, the package manager conda analyzes the package dependencies and install all the required packages for you. Short answer: copy the whole environment from another machine with the same OS.
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