Conda
Contents
Conda Python Environments
CMS maintain an Anaconda Python environment at NCI, with a wide variety of climate and weather related libraries.
You can find the most recent list of libraries at our github repository, or run conda list
with an environment loaded.
To use any of the conda environments:
- Request access to hh5 (to do once)
- You must first run (to do at each session)
module use /g/data/hh5/public/modules
You can safely put this in your ~/.profile
or ~/.login
file
If you need to use the conda environment in a PBS job you will need to add the hh5 project to your storage flags, e.g.
#PBS -l storage=gdata/hh5
Stable Environment
We update the stable environment once a quarter, around when NCI do their quarterly maintenance of Gadi. Otherwise everything in the environment stays fixed, we don't update packages or install new packages unless something is very broken.
module load conda/analysis3
Unstable Environment
The unstable environment gets updated more often, as we install new packages or apply updates to existing ones. If you ask for a new package it will be installed here.
module load conda/analysis3-unstable
When we do our quarterly update the unstable environment becomes the new stable environment.
Removed Environments
Normally after three quarters have passed old environments are removed, to reduce disk space and support burden. Conda environment.yml descriptions of past environments are available at https://github.com/coecms/conda-history.
Creating personal environments
You can create your own environment if needed, but please be cautious of both the size on disk and number of files that Conda environments can create. Make a file ~/.condarc
like:
auto_activate_base: false
envs_dirs:
- /scratch/$PROJECT/$USER/conda/envs
- /g/data/hh5/public/apps/miniconda3/envs
pkgs_dirs:
- /scratch/$PROJECT/$USER/conda/pkgs
conda-build:
root-dir: /scratch/$PROJECT/$USER/conda/bld
This will set up Conda to create environments in /scratch, by default it puts them in your home directory which will rapidly use up your disk quota.
Interactive Analysis / Jupyter
Jupyter provides a 'notebook' interface for working with Python - you can combine Python code, text, latex equations and plots in a web interface.
The preferred method of running Jupyter at NCI is through the 'Open on Demand' (OOD) service https://ood.nci.org.au. This runs a Jupyter instance in NCI's cloud that you can access directly from your browser. To use CLEX Conda in OOD, start Jupyter with the advanced options:
* Module Directories: /g/data/hh5/public/modules * Modules: conda/analysis3
The Centre has developed scripts that can run Jupyter on NCI facilities - VDI or Gadi - and display the notebook interface on your local computer. These scripts are available at https://github.com/coecms/nci_scripts, see the instructions there for usage.
You can also run Jupyter directly on VDI, by loading the Conda environment and running 'jupyter lab'.
Note that on Windows the Jupyter scripts must be run through a Bash terminal (From WSL or Cygwin).
Requesting new packages
You can ask for a new package to be installed or for an existing package to be updated by emailing cws_help@nci.org.au. Please include a link to the package documentation to your request.
It would be appreciated if you can check the package isn't already installed before putting in a request. To do so, please load the unstable environment and use conda list
to list the packages included in that environment
As a general rule we will only install packages from the 'conda-forge' channel. Newly installed packages will be available in the conda/analysis3-unstable environment.
Update History
21.07 (Current Unstable)
Python has been updated to version 3.9. See what's new at https://docs.python.org/3/whatsnew/3.9.html
Notable new packages
- Statistics/ML
- tensorflow TensorFlow is an end-to-end open source platform for machine learning
- Note: You may need to load the NCI modules 'cuda' and 'cudnn' to use tensorflow on GPU nodes
- shap a game theoretic approach to explain the output of any machine learning model
- tensorflow TensorFlow is an end-to-end open source platform for machine learning
- Geospatial
- gcm_filters Diffusion-based Spatial Filtering of Gridded Data from General Circulation Models
- Visualisation
- mayavi 3D scientific data visualization and plotting in Python
- Developer Tools
- gh a tool to open Github projects in a browser from the command line
21.04 (Current Stable)
Conda has dropped support for the old operating system version used on the Accessdev VM. It is likely that future versions of analysis3 after 21.04 will not work on Accessdev, consider setting up tasks to run on Gadi if they require the Conda environment.
Notable new packages
- Statistics/ML
- cvxpy modeling language for convex optimization problems
- dask-xgboost optimized distributed gradient boosting library
- pymannkendall analyze time series data for consistently increasing or decreasing trends
- Geospatial
- xarray-spatial common raster analysis functions
- Visualisation
- xmovie simple way of creating beautiful movies from xarray objects
- Developer Tools
- git-subtree subtree extension for Git
- rechunker efficient and scalable manipulation of the chunk structure of chunked array formats such as Zarr and TileDB
- spyder-kernels allow conda environment to work with Spyder IDE
- watermark IPython magic extension for printing date and time stamps, version numbers, and hardware information
21.01 (Unsupported)
The conda environment now uses a conda provided OpenMPI, rather than Gadi's OpenMPI module. This impacts users of mpi4py, esmf, esmpy and xesmf
era5grib, the tool for converting NCI's ERA5 archive to GRIB format for use in UM/WRF limited area runs, now uses the NCI managed ERA5 archive in projects rt52 and zz93. The new archive has global coverage, allowing limited area models to be run anywhere on the globe. The previously used CLEX archive will be removed on the 28th April to free up disk space, until this happens previous behavior can be accessed using the flag '--source CLEX'.
Notable new packages
- Statistics
- Geospatial
- xarray-spatial Raster-based spatial analysis
- fiona GDAL vector API for Python
- Visualisation
- geoplot Geospatial data visualisation
- folium Leaflet webpage map manipulation
- mplleaflet Use matplotlib on Leaflet webpage maps
- Developer Tools
- mamba Faster conda environment setup
- black Python code formatter
- intake-esm Data cataloguing tool
20.10 (Unsupported)
Python has been updated to 3.8 (changes)
There are a small number of packages in analysis3-20.07 that are not compatible with 3.8, these have been disabled until we can get them working
- pynio (https://github.com/conda-forge/pynio-feedstock/issues/90)
cf_units(was renamed to 'cf-units')pymunge(fixed)ants(fixed)
Notable new packages
- rioxarray geospatial xarray extension powered by rasterio
- cupy CUDA accellerated numpy
- celluloid simplified animations with matplotlib
- rasterstats summarizing geospatial raster datasets based on vector geometries
- windrose manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
- pyam analysis and visualization of integrated-assessment scenarios
- pyarrow a cross-language development platform for in-memory data
- python-gist a command line interface for working with github gists
- jags statistical analysis of Bayesian hierarchical models by Markov Chain Monte Carlo
20.07 (Unsupported)
Notable New Packages
- xesmf - regrids xarray data (NOTE: uses Gadi's ESMF install, won't work on VDI)
- sharppy - sounding and holograph analysis
- earthpy - spatial raster and vector tools (e.g. rasterise shapefiles)
- descartes - plot shapefiles
- era5grib - convert data from NCI ERA5 archive to GRIB for use in WRF/UM (beta tool)
- xmitgcm - read mitgcm binary output
20.04 (Unsupported)
Cartopy NaturalEarth source data has been centrally installed, so coastlines etc. can be drawn on compute nodes
Clef has been updated to 1.0, can now find ACCESS model CMIP6 data published by NCI
Notable New Packages
- geopy: Locate lat/lon coordinates of places
- ninja: mom6 build system
20.01 (Unsupported)
Python has been updated to 3.7
Notable New Packages
- xlrd: Read excel files
- ants: Unified Model Ancillary tools
- climtas: Dask-aware Xarray timeseries processing
19.10 (Unsupported)
basemap has been removed as it is no longer supported and caused conflicts with other packages
Notable New Packages
- addmeta
- holoviews: Fancy plots
- palettable: Matplotlib colour palettes
19.07 (Unsupported)
Notable New Packages
- pyferret
- pyngl
- pynio
- xgcm
- xrft
19.04 (unsupported)
Notable Changes
- arccssive has been renamed to clef
- A bug preventing Iris from opening UM files without a date has been fixed
Notable New Packages