Philip Yang darthsuogles

Autonomy Engineering

darthsuogles / theano_chk_expr.py

Last active August 29, 2015 14:09

Checking numerical value of a Theano expression

	import inspect # for line number
	import re # for extracting debug information

	_check_expr_regex = re.compile('THEANO_CHECK_EXPR\(.+\)')

	def THEANO_CHECK_EXPR( expr, verbose = False ):
	"""
	Check the expression
	Limited resolution at the line level
	"""

darthsuogles / hw_pyplot.py

Last active August 29, 2015 14:20

Working with matplotlib

	# Do not use ax.set_xticks([]), instead
	ax.get_xaxis().set_visible(False);

	# When having a bunch of plots in a grid (via subplots or gridspec),
	# we can plot the title as the ylabel of the left-most plot.
	# http://matplotlib.org/users/text_props.html
	ax.set_ylabel('<text_of_the_title>', rotation = 'horizontal', horizontalalignment = 'right');

darthsuogles / hw_matlab.m

Last active August 29, 2015 14:20

	% Some useful tips
	% Ref: http://emacsclub.github.io/html/matlab.html
	% There are some other http://emacsclub.github.io/html/index.html
	% http://ubcmatlabguide.github.io/html/gettingStarted.html

	% Check if a parameter called 'arg1' of a function exists
	if ~exist('arg1','var') \|\| isempty(arg1)
	disp(arg1)
	end

darthsuogles / hw_networkx.py

Created May 5, 2015 13:32

How to properly plot a graph in networkx and export to json format.

	import numpy as np
	import networkx as nx
	import matplotlib.pyplot as plt

	#embedding_coords = nx.spring_layout(G)
	embedding_coords = nx.graphviz_layout(G)
	#embedding_coords = nx.spectral_layout(G)
	#embedding_coords = nx.random_layout(G)
	# stored_coords = nx.get_node_aattributes(G, 'embedding')
	# for k,v in stored_coords.iteritems():

darthsuogles / tree_hierarchy_d3js

Created June 9, 2015 15:01

darthsuogles / hierarchy_classify.py

Last active August 29, 2015 14:22

	# Recursively reload depedencies
	# Ref: https://ipython.org/ipython-doc/dev/interactive/reference.html#dreload
	from IPython.lib.deepreload import reload as dreload
	# %load_ext autoreload
	# %autoreload 2

	import numpy as np
	import scipy.io as sio
	import json # export data for d3 visualization
	from mlearn_hclust import hierarchical_clustering

darthsuogles / build_graph_d3js.py

Created June 9, 2015 15:10

	import json # export data for d3 visualization
	import numpy as np
	import scipy.cluster.hierarchy as hclust

	## Compute histogram based on the Wasserstein distance matrix

	def build_json_tree(node, parent):
	"""
	Build a tree for the json format
	"""

darthsuogles / git_mgmt.sh

Created June 10, 2015 19:47

git ls-files -ci --exclude-standard -z | xargs -0 git rm --cached 2>/dev/null

darthsuogles / tsp_olympic_park.py

Created June 28, 2015 01:35

	"""
	Find an optimal way to explore the Olympic Park west of Seattle

	Ref: http://www.nps.gov/olym/planyourvisit/gettingaround.htm
	"""
	import z3

	# import matplotlib.pyplot as plt
	# import seaborn as sns
	# sns.set_context("paper") # also: talk, poster, etc.

darthsuogles / exr_split_channels.py

Last active September 4, 2015 03:02

	import OpenEXR, Imath
	import numpy as np
	import matplotlib.pyplot as plt

	def exr_split_channels(exr_fname):
	"""
	Load a Mitsuba render generated multi-channel OpenEXR file.
	Split the channels according to the information stored.
	"""
	## Load all images