ChrisBeaumont

ChrisBeaumont

from toasty import toast, healpix_sampler, normalizer
from astropy.io import fits
import logging

#print progress
FORMAT = ' %(asctime)-15s  %(message)s'
logging.basicConfig(format=FORMAT)
logger = logging.getLogger('toasty.tile')
logger.setLevel(logging.DEBUG)

ChrisBeaumont

ChrisBeaumont

from spectral_cube import read

mycube = read("ant_COline_5kms_evenbeam.fits")


my_cube.get_data(views, fill='min')  # nan replacement  fill='min'/'max'
my_cube.flatten(views)  # flat, reject nans
my_cube.spectral_slab(30 * u.km / u.s, 50 * u.km / u.s)

ChrisBeaumont

ChrisBeaumont

from glue import qglue
from glue.core.data_factories import panda_process
import pandas as pd

df = pd.read_csv(...)
data = panda_process(df)  # convert to Glue data, detect categorical components
qglue(data=data)  #start ui

#alternatively, from the GUI, choose file->open data set, and choose file type=Pandas table

ChrisBeaumont

from astrodendro.analysis import ppv_catalog
import numpy as np


class TruncatedStructure(object):

    def __init__(self, parent, value):
        self._parent = parent
        self.value = value
        self.idx = parent.idx

ChrisBeaumont

from astrodendro import Dendrogram, ppv_catalog
from astropy.io import fits
from astropy import units as u

data = fits.getdata('DHT21_Taurus_mom.fits')

dg = Dendrogram.compute(data, verbose=True,
                        min_value=0.01,
                        min_delta = 0.005,
                        min_npix = 20)

ChrisBeaumont

ChrisBeaumont