Import the spots and links tables, features, tags and meta data from a Mastodon project file.
ported to Python from: matlab-mastodon-importer
Read the mastodon file:
from mastodon_reader import MastodonReader
mr = MastodonReader("demo/demo.mastodon")
# show meta data
meta_data = mr.read_metadata()
# read (networkX) graph representation, spot and link tables with features and tags columns
graph, spots, links, tag_definition = mr.read(tags=True, features=True)
or read information separately
# read only spot and link tables
spots, links = mr.read_tables()
# read tag_definition and add tags as new columns to the spot and link tables
tag_definition = mr.read_tags(spots, links)
# read features and add as new columns to the spot and link tables
mr.read_features(spots, links)
# create networkX DiGraph representation form spots and links
graph = mr.create_nx_graph(spots, links)
pip install git+git://github.com/mastodon-sc/python-mastodon-importer.git
pip install Mastodon-Reader
more information on PyPi
- numpy
- pandas
- networkx