Anaconda
Anaconda is a Python based platform that is available on MacOS, Windows and Linux. It uses a package management utility called conda.
It's installed as part of ESRI ArcGIS Pro so if you have that then you don't need to install it separately.
You can install a gigantic everything-including-the-kitchen-sink version called Anaconda that includes 100's of packages or a more fleet-footed version called miniconda and then install just the packages you need.
I used to install miniconda primarily to get spyder, which is a reasonably good IDE and debugger. These days I do most of my Python work on Windows 10 so I use Microsoft Visual Studio.
Suggestions
Disclaimer: I work mostly in a Windows 7 environment and use ArcGIS Desktop 10.6, ArcGIS Enterprise, and sundry open source packages. At home I use mostly open source on Mac, Linux and Windows 10. If life is different for you these notes might not be relevant.
Don't install Anaconda, it's very big, install miniconda then add the packages you will actually use. Here is the Miniconda download page.
Don't install the "workloads" for Python and Anaconda that come from Microsoft with Visual Studio either! If you do then you will need administrative rights every time you want to update or install a package. If you install Miniconda as yourself (not admin) then you can maintain the packages yourself logged in as a normal user. Still worse is the process for removing a Python environment that was automatically installed from Visual Studio. Just don't do it. Trust me.
Anaconda is convenient if you want to do one giant install and have most everything you need, but it takes a long time to download the 300 or so packages it installs and chances are you will use only a few of them.
I tried "Jupyter notebook" because ESRI's pushing it these days and found Spyder to be a far better match for my needs.
I installed Anaconda on Plover (a MacBook) first, I can't access the ESRI "ArcPy" module from OS/X but I can use the "ArcGIS" module. ArcPy is for desktop GIS work. ArcGIS is for talking to ArcGIS Online.
I learned about using Jupyter notebook by watching an ESRI video, "ArcGIS API for Python: Advanced Scripting". I like the idea of cells and being able to visualize data directly (like displaying a dataset on a map) but I never need to do that.
Running this code in Spyder generates an error about Javascript. Running it in Jupyter generates a map, because it will send javascript to your browser.
from arcgis.gis import GIS g = GIS() g.map()
Installation
Windows
2018-May-09 I installed version 3 at work today, 32- and 64-bit.
2018-Jan-25 I have it installed on Windows 7 at work and on Windows 10 at home.
Linux
2017-Jul-09 Laysan Ubuntu. Installed miniconda3, then "conda3 install spyder" and "conda3 install -c esri arcgis"
Mac
2017-May-13 Installing on Plover
Download the Miniconda installation shell script and run it. Say "yes" to modifying your PATH.
I am not putting Anaconda onto Stellar, because alas Apple won't update the operating system for her and Anaconda warns against using old versions of OS/X.
Create an environment for doing GIS work, thus keeping all the modules contained.
conda create -n gis source activate gis conda install spyder conda install gdal # This installs lots of related packages conda install -c esri arcgis # this installs ESRI's python api module, "arcgis".
When you do 'which spyder' it should show the one installed in the gis environment, for me it's
/Users/bwilson/miniconda3/envs/gis/bin/spyder
Installing spyder inside the "gis" environment avoids having to mess around with settings and does not pollute the base install with things like alternative versions of numpy and python.
Installing spyder also installs jupyter.
Windows + Python + GDAL + FGDB
I still don't have the FGDB part working but I don't really care any more since I saw the comment in the docs that it can't be used with Annotation Feature Classes. I guess that leave me with trying to get access via ArcObjects.
See also https://github.com/OSGeo/gdal and https://trac.osgeo.org/gdal and of course http://www.gdal.org/
Download the WHL file you need from https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal The one you need matches your bitness (64-bit) and your python version so 64 + Python 3.6 = GDAL?2.2.3?cp36?cp36m?win_amd64.whl for me.
So far... at an Anaconda 64 bit prompt
conda create -n gdalwhl activate gdalwhl conda install pip pip install GDAL?2.2.3?cp36?cp36m?win_amd64.whl
Test before going on
python import osgeo.gdal gdal.__version__
should show
'2.2.3'
Download the FGDB zip from Github, https://github.com/Esri/file-geodatabase-api/tree/master/FileGDB_API_1.5.1 and unzip it
Windows + ArcGIS 10.7
Miniconda 2 downloader: https://conda.io/en/latest/miniconda.html
Read this before plunging into the Anaconda installer. https://my.usgs.gov/confluence/display/EGIS/Using+Anaconda+modules+from+the+ESRI+python+environment
Why install 32-bit Anaconda? So that you can use the Anaconda environment to add and maintain python packages. Arguably you could replace the entire ESRI Python with Anaconda Python but I don't suggest doing this.
Why install 64-bit Anaconda? Same reason, but also so that you can work in a completely up to date and snazzy Anaconda environment that has acess to the ESRI python modules (and therefore all of the ESRI ecosystem.)
NB:
- I installed both the 32- and 64-bit versions, so that I can use both ArcMap and geoprocessing.
- I put the 32-bit version in miniconda2_32 and the 64-bit version in miniconda2
- I told it NOT to modify my PATH and NOT to change the registry, so that the versions already installed by ESRI will continue to work.
- I installed for "Just me" because I am the only one who ever uses this computer.
- I never double-click py files to run them so I don't need to change the registry.
- For speed, I used /c/Users/bwilson/Continuum as the folder. When we get new computers next month I will need to reinstall it.
In each environment then find the version numbers you need by running the pyversions.py script from the USGS link. Then install virtual environments as follows, with appropriate versions. I used to install spyder and some of the packages below might be left over from that, I don't know. Installing 1.5.3 of matplotlib works instead of 1.5.2 and the latest numpy seems fine too. Python 2.7.16 is probably fine too but I am going with this Esri 2.7.15 thing for now.
Start a 32-bit conda prompt
conda update conda conda create -n arc10 activate arc10 conda install python=2.7.15 numpy matplotlib=1.5.3 scipy=0.17.0 pandas pyparsing xlrd xlwt console_shortcut
You can add a bash shell here too.
conda install -c msys2 m2-bash
Start a 64-bit conda prompt
conda create -n arc10x64 activate arc10x64 conda install -c anaconda git
I do some things with PDF files so I installed this
conda install -c anaconda-nb-extensions pypdf2
Likewise I want to be able to read Excel .xlsx files.
conda install -c anaconda openpyxl
You can add a bash shell here too. I run inside Cygwin bash so normally I don't need it.
conda install -c msys2 m2-bash
The process of setting up the environment should create items in your Startup menu with the environment name appended, use those to get access to arcpy.
The version of Python that launches from ArcGIS will be the same one ESRI installed but it will have access to packages that you install in the arc10 environment in Anaconda because of the 'zconda.pth' file. Naming it with a 'z' means it loads last and therefore most packages (like scipy and numpy) load from the ESRI directory and only things you have added come from Anaconda.
USGS missed only one item in there-- the 32-bit pth file to copy is Desktop.pth but the 64-bit file is DTBGGP64.pth which I assume stands for "DeskTop BackGround GeoProcessing 64-bit".
cd /c/Python27/ArcGISx6410.7/Lib/site-packages cp DTBGGP64.pth /c/Users/bwilson/AppData/Local/Continuum/miniconda2/envs/arc10x64/Lib/site-packages/
ArcGIS (server) module
I am talking about arcgis.py here, the module that works with ArcGIS server and requires no special licenses. In the 64-bit environment (miniconda), create a separate environment,
conda update conda conda create -n arcgis conda activate arcgis conda install python conda install -c esri arcgis
This works, now I can connect to my ArcGIS Enterprise Portal to test the connection. This 3 line test will prompt me for a password and then print the properties.
from arcgis.gis import GIS
gis = GIS("http://flyingsquirrel.wildsong.biz/portal", username="bullwinkle")
print(gis.properties)
Windows + ArcGIS Pro
With AGP, ESRI installs python3 and conda for you but does not update your PATH. They probably tell you how to do that somewhere. They install it with admin permissions so (as with Microsoft Visual Studio Workloads) you can't change it for example to add packages unless you have admin access. What you CAN do is clone the environment, leaving the ESRI one untouched, and then use the clone.
At version 2.2 of AGP you could have this in your environment
CONDAHOME=C:\Program Files\ArcGIS\Pro\bin\Python
and add this to PATH so that apps can find conda.exe: %CONDAHOME%\Scripts
Once your path is fixed up you can run a cmd window and use conda to create a new writable environment
conda create -n my_arcgispro-py3 --clone="%CONDAHOME%\envs\arcgispro-py3"
List the available environments
conda info --envs # conda environments: # my_arcgispro-py3 C:\Users\bwilson\AppData\Local\ESRI\conda\envs\my_arcgispro-py3 arcgispro-py3 * C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3 root C:\Program Files\ArcGIS\Pro\bin\Python
Switch to the new environment and install gdal there.
activate my_arcgispro-py3 conda install gdal
This installs the gdal packages (along with about 30 dependencies and 20 updates) into my_arcgispro-py3 environment. AGP will continue to use the old environment but I don't care because I normally work in Visual Studio and shell windows anyway.
You can list the packages installed. You should see the correct environment path and arcgispro 2.2 listed in there.
conda list # packages in environment at C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3: # arcgis 1.4.1 py36h52c3b5e_1 esri arcgispro 2.2 0 esri asn1crypto 0.24.0 py36_0 attrs 17.4.0 py36_0 backcall 0.1.0 py36_0 ... etc etc. freetype 2.8 vc14_0 [vc14] esri freexl 1.0.5 hfa6e2cd_0 future 0.16.0 py36_1 esri gdal 2.2.2 py36hcebd033_1 <<<<---- YAY!!! geos 3.6.2 h9ef7328_2 ...
Some old information is here: https://geonet.esri.com/groups/arcgis-python-api/blog/2017/02/08/arcgis-api-for-python-101-released
ArcGIS Pro + Visual Studio
If you are using VS older than 15.7, UPDATE NOW. Then read this page about environments and Conda in VS.
You can select environments in the Solution Explorer in Python Environments. Right click Python Environments and select "View all Environments" and the one we cloned should be listed. You can open an interactive window and type
import arcpy import osgeo.gdal
and (if you have install gdal) it should not give any messages.
Select the environment, and Intellisense for arcpy and gdal should start working.
(Note that I have some extra environments that I set up when experimenting.)
Intellisense
In Python Environments, it says it no longer needs the Intellisense database and it's turned off. At first Intellisense did not work so I turned the database thing back on, but that was far worse so I turned it off and after a few restarts it appears to be working again.
