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

# -*- coding: utf-8 -*-

"""
This script loads a Brain Tumor DICOM dataset into Glue.
The data comes from http://www.osirix-viewer.com/datasets/DATA/BRAINIX.zip

To run this locally, download and unzip that file, and run this script
from the directory that you dowloaded the ZIP file to

This requires the dicom library, which you can install via

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

ChrisBeaumont