Skip to content

Latest commit

 

History

History
26 lines (19 loc) · 826 Bytes

README.md

File metadata and controls

26 lines (19 loc) · 826 Bytes

canopus_treemap

CANOPUS visualization for Jupyter notebook

install

python setup.py install --user

usage in Jupyter notebook

See Tutorial.ipynb for a guide. You can read it from github, but javascript objects won't work. Better is to run it locally:

jupyter-notebook Tutorial.ipynb

Changelog

  • 27.05.2021 We add support for the NPC (natural product classifier) prediction. In particular, you can create a summary file with all NPC classes by the following code:
from canopus import Canopus
C = Canopus(sirius="sirius_projectspace")
C.npcSummary().to_csv("npc_summary.csv")

Note that support for NPC predictions exists since several months in CANOPUS. Thus, it is very likely that you do not have to recompute your projectspace.