Nicolás Guarín-Zapata nicoguaro

## data.tsv

          
            name
            value

            
              Locke
              4

            
              Reyes
              8

            
              Ford
              12

            
              Jarrah
              16

            
              Shephard
              23

            
              Kwon
              42

## index.html
<!DOCTYPE html>
<meta charset="utf-8">

<!--
Example based on http://bl.ocks.org/weiglemc/6185069
-->

<style>
.circ {
  fill: steelblue;

## plot_guy.py
import matplotlib.pyplot as plt
import numpy as np

def plot_guy(x, y, frown=False, **plot_args):
    """Plot a stick man of 2 units wide and 6 units tall.

    http://nbviewer.ipython.org/gist/theandygross/4544012
    """
    an = np.array(np.linspace(0,2*np.pi,100))
    head, = plt.plot(np.cos(an)+x, np.sin(an)+y + 5, **plot_args)

## butterfly_curves.py
"""
Plot multiple butterfly curves.
"""

import numpy as np
import matplotlib.pyplot as plt

def curve(turns, npts):
    t = np.linspace(0, 2*turns*np.pi, npts)
    x = np.sin(t)*(np.exp(np.cos(t))- 2*np.cos(4*t) - np.sin(t/12)**5)

## example_layered_elastic.py
# -*- coding: utf-8 -*-
"""
Wave propagation in layered elastic media.

@author: Nicolas Guarin-Zapata
@email: nguarin@purdue.edu
"""
import matplotlib.pyplot as plt
from matplotlib import rcParams
from layered_elastic import *

## bilinear_map.ipynb

      
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                nicoguaro
                / bilinear_map.ipynb
            
            
              Last active
              August 29, 2015 14:19
            
              
                Bilinear map inversion (analytically)
              
          
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## hausdorff.py
# -*- coding: utf-8 -*-
"""
Calculate two-side Hausdorff distance between two sets using a brute
force approach.

References
[1] http://en.wikipedia.org/wiki/Hausdorff_distance

@author: Nicolas Guarin-Zapata
"""

## parallel_proj.py
"""
Set projection to parallel in Paraview

In Paraview 4.3 the default is perspective projection.
"""
camera = GetActiveCamera ()
camera. SetParallelProjection (True)

## eval_fun.py
def eval_fun(f, **args):
    """ (str, dict) -> object
    f: Function as string.
    args: dictionary with arbitrary variables.
    Use arbitrary args in **args to eval general functions.
    Examples:
    >> eval_fun('x**2',x=5)
    25
    >> eval_fun('x*y', x=3, y=2)
    6

## plot_mesh.py
from numpy import array
from matplotlib import pyplot as plt

def plot_msh(pts, els, shw_pts=True, shw_els=True,
             pts_text=False, els_text=False):
    """
    Plot a mesh of  8 nodes (serendipity) elements.

    Parameters
    ----------
	<!DOCTYPE html>
	<meta charset="utf-8">

	<!--
	Example based on http://bl.ocks.org/weiglemc/6185069
	-->

	<style>
	.circ {
	fill: steelblue;
	import matplotlib.pyplot as plt
	import numpy as np

	def plot_guy(x, y, frown=False, **plot_args):
	"""Plot a stick man of 2 units wide and 6 units tall.

	http://nbviewer.ipython.org/gist/theandygross/4544012
	"""
	an = np.array(np.linspace(0,2*np.pi,100))
	head, = plt.plot(np.cos(an)+x, np.sin(an)+y + 5, **plot_args)
	"""
	Plot multiple butterfly curves.
	"""

	import numpy as np
	import matplotlib.pyplot as plt

	def curve(turns, npts):
	t = np.linspace(0, 2turnsnp.pi, npts)
	x = np.sin(t)(np.exp(np.cos(t))- 2np.cos(4t) - np.sin(t/12)*5)
	# -- coding: utf-8 --
	"""
	Wave propagation in layered elastic media.

	@author: Nicolas Guarin-Zapata
	@email: nguarin@purdue.edu
	"""
	import matplotlib.pyplot as plt
	from matplotlib import rcParams
	from layered_elastic import *
	# -- coding: utf-8 --
	"""
	Calculate two-side Hausdorff distance between two sets using a brute
	force approach.

	References
	[1] http://en.wikipedia.org/wiki/Hausdorff_distance

	@author: Nicolas Guarin-Zapata
	"""
	"""
	Set projection to parallel in Paraview

	In Paraview 4.3 the default is perspective projection.
	"""
	camera = GetActiveCamera ()
	camera. SetParallelProjection (True)
	def eval_fun(f, **args):
	""" (str, dict) -> object
	f: Function as string.
	args: dictionary with arbitrary variables.
	Use arbitrary args in **args to eval general functions.
	Examples:
	>> eval_fun('x**2',x=5)
	25
	>> eval_fun('x*y', x=3, y=2)
	6
	from numpy import array
	from matplotlib import pyplot as plt

	def plot_msh(pts, els, shw_pts=True, shw_els=True,
	pts_text=False, els_text=False):
	"""
	Plot a mesh of 8 nodes (serendipity) elements.

	Parameters
	----------