ARCCSSive 0.3.3

Description:

ARCCSSive 0.3.3

# ARCCSSiveARCCSS Data Access Tools[](https://readthedocs.org/projects/arccssive/?badge=latest)[](https://travis-ci.org/coecms/ARCCSSive)[](https://circleci.com/gh/coecms/ARCCSSive)[](http://codecov.io/github/coecms/ARCCSSive?branch=master)[](https://landscape.io/github/coecms/ARCCSSive/master)[](https://codeclimate.com/github/coecms/ARCCSSive)[](https://pypi.python.org/pypi/ARCCSSive)[](https://anaconda.org/coecms/arccssive)For full documentation please see http://arccssive.readthedocs.org/en/stableInstalling==========### RaijinThe stable version of ARCCSSive is available on Rajin in the `analysis27` Anaconda environment: raijin moduleuse/g/data3/hh5/public/modulesraijin module load conda/analysis27and is also available as a module: raijin moduleuse access/modulesraijin module load pythonlib/ARCCSSive### NCI Virtual DesktopsNCI's virtual desktops allow you to use ARCCSSive from a Jupyter notebook. Fordetails on how to use virtual desktops see http://vdi.nci.org.au/helpARCCSSive can be accessed on VDI using the Anaconda environments: vdi moduleuse/g/data3/hh5/public/modulesvdi module load conda/analysis27### Local InstallYou can install ARCCSSive locally using either Anaconda or Pip. You will needto copy the database file from Raijin You can't use 'macro parameter character #' in math modeYou can't use 'macro parameter character #' in math mode conda install -c coecms arccssive scpraijin:/g/data1/ua6/unofficial−ESG−replica/tmp/tree/cmip5raijinlatest.dbPWD/cmip5.db exportCMIP5DB=sqlite:///PWD/cmip5.db### Development VersionTo install the current development version with a test database: pipinstall−−usergit+https://github.com/coecms/ARCCSSive.git export CMIP5_DB=sqlite:///$HOME/cmip5.dbCMIP5=====Query and access the CMIP5 data from Raijin```pythonfrom ARCCSSive import CMIP5cmip = CMIP5.DB.connect()for output in cmip.outputs(model='ACCESS1-0'): variable = output.variable files = output.filenames() ```Uses[SQLAlchemy](http://docs.sqlalchemy.org/en/rel_1_0/orm/tutorial.html#querying)to filter and sort the data files.