Shunyang2018 / canopus_treemap

CANOPUS visualization for Jupyter notebook

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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.

About

CANOPUS visualization for Jupyter notebook

License:MIT License


Languages

Language:Python 70.9%Language:Jupyter Notebook 15.2%Language:JavaScript 13.8%