Chris Tralie ctralie

For more info on some of these steps, visit https://mrchromebox.tech

First boot

	import numpy as np
	import matplotlib.pyplot as plt
	from scipy.spatial import KDTree

	# Generate some number of sites in
	# the square [0, 1] x [0, 1]
	np.random.seed(0)
	n_sites = 20
	sites = np.random.rand(n_sites, 2)
	# Create random velocities

	import matplotlib.pyplot as plt
	from matplotlib import cm
	import numpy as np
	from skimage import data
	from skimage.color import rgb2gray
	from colorspacious import cspace_converter

	I = data.astronaut()
	I = rgb2gray(I)
	cmaps = ['gray', 'magma', 'jet', 'RdGy']

	"""
	Programmer: Chris Tralie

	Purpose: To provide a basic ordered merge tree class for interval and circular domains,
	along with methods to construct the merge tree from a time series, to plot it and
	its associated persistence diagram, and to simplify the merge trees by persistence
	"""

	import numpy as np
	import matplotlib.pyplot as plt