Microsoft Windows¶
Miniconda¶
- Download and install Miniconda using the following instructions https://conda.io/projects/conda/en/latest/user-guide/install/windows.html
- Open the Anaconda Prompt from the Start Menu to execute the following commands.
- Add the conda-forge channel
conda config --add channels conda-forge
The conda-forge channel provides multitude of community maintained packages. Find out more about it here https://conda-forge.org/
- Create a virtual environment in conda
conda create --name cubeenv python=3.6 datacube
- Activate the virtual environment
source activate cubeenv
Find out more about managing virtual environments here https://conda.io/docs/using/envs.html
- Install other packages
conda install jupyter matplotlib scipy
Find out more about managing packages here https://conda.io/docs/using/pkgs.html
Datacube is now installed and can be used in the Anaconda Prompt by activating the cubeenv environment.
Manual Installation (Fallback)¶
Only follow these steps if the Miniconda installation does not suit your needs.
Python 3 environment¶
1. Download and install a standard python release from http://www.python.org/ . The AGDC supports 3.5 or newer.
Note
If in a restricted environment with no local administrator access, python can be installed by running:
msiexec /a python-3.6.4.msi TARGETDIR=C:\Python3
Or by launching the version 3.6 installer and selecting not to install for all users (only single user install).
Ensure pip is installed:
cd C:\Python3 python -m ensurepip
Upgrade and Install python virtualenv:
python -m pip install --upgrade pip setuptools virtualenv
Create an AGDC virtualenv:
mkdir C:\envs Scripts\virtualenv C:\envs\agdcv2
Note
3.5 only workaround: Copy vcruntime140.dll
from Python install dir into
virtualenv Scripts\
folder.
Activate virtualenv:
C:\envs\agdcv2\Scripts\activate
The python virtual environment isolates this python installation from other python installations (which may be in use for other application software) to prevent conflicts between different python module versions.
Python modules¶
On windows systems by default there are no ready configured compilers, and so libraries needed for some python modules must be obtained in precompiled (binary) form.
Download and install binary wheels from https://www.lfd.uci.edu/~gohlke/pythonlibs/
You will need to download at least:
- GDAL
- rasterio
- numpy
- netCDF4
- psycopg2
- numexpr
- scipy
- pandas
- matplotlib
The following may also be useful:
- lxml
- pyzmq
- udunits2
Install these packages by running in your Downloads
directory:
pip install *.whl
Note
It may be necessary to manually replace *.whl
with the full filenames for each
.whl file (unless using a unix-like shell instead of the standard windows command line
console).
Note
For 3.5 only
If there are problems loading libraries. Try:
copy site-packages/matplotlib/msvcp140.dll site-packages/osgeo/
Also, install the python notebook interface for working with datacube example notebooks:
pip install jupyter
Datacube installation¶
Obtain a current copy of the datacube source code from GitHub. A simple way is to extract https://github.com/opendatacube/datacube-core/archive/develop.zip into a subdirectory of the python environment.
Install the datacube module by running:
cd datacube-core-develop
python setup.py install
Extra instructions for installing Compliance Checker¶
pip install cf_units
- Download and install udunits2 from gohlke
- Edit site-packages/cf_units/etc/site.cfg with path to udunits2.dll which should be venv/share/udunits/udunits2.dll