/scs_analysis

Information management and analysis tools for South Coast Science data consumers.

Primary LanguagePythonMIT LicenseMIT

scs_analysis

Information management and analysis tools for South Coast Science data consumers.

Required libraries:

  • Third party (always required): paho-mqtt, pycurl, tzlocal
  • Third party (to enable charting): matplotlib, python3-tk
  • SCS root: scs_core
  • SCS host: scs_host_posix or scs_host_rpi

Example PYTHONPATH:

Raspberry Pi, in /home/pi/.bashrc:

export \ PYTHONPATH=~/SCS/scs_analysis:~/SCS/scs_dev:~/SCS/scs_osio:~/SCS/scs_mfr:~/SCS/scs_dfe_eng:~/SCS/scs_host_rpi:~/SCS/scs_core:$PYTHONPATH

MacOS, in ~/.bash_profile:

PYTHONPATH="{$HOME}/SCS/scs_analysis:{$HOME}/SCS/scs_osio:{$HOME}/SCS/scs_host_posix:{$HOME}/SCS/scs_core:${PYTHONPATH}"
export PYTHONPATH

Ubuntu, in ~/.bashrc:

export \ PYTHONPATH="~/SCS/scs_analysis:~/SCS/scs_osio:~/SCS/scs_host_posix:~/SCS/scs_core:$PYTHONPATH"