Pierre Haessig pierre-haessig

## logit_scale.ipynb

      
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                / logit_scale.ipynb
            
            
              Created
              October 8, 2014 13:34
            
              
                Logit scale, for plotting cumulated probability distributions (matplotlib implementation). Better visualization of the tails
              
          
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## selenium_2048.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Pierre Haessig — May 2014
"""A simple code to interact in Python with the "real" 2048 game in web browser.
"""

from __future__ import print_function
from selenium import webdriver
from selenium.webdriver.common.keys import Keys

## second order process.ipynb

      
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                / second order process.ipynb
            
            
              Created
              May 7, 2014 11:14
            
              
                Study of 2nd order autoregressive process (AR(2))
              
          
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## MPL_blitting.py
#!/usr/bin/env python

# Original source : https://gist.github.com/iMichka/9901318
# Change : use a timer

import sys
import numpy
from PyQt4 import QtGui, QtCore
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
from matplotlib.collections import PolyCollection

## traitsui_mpl_qt.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Pierre Haessig — March 2014
"""
Qt adaptation of Gael Varoquaux's tutorial to integrate Matplotlib
http://docs.enthought.com/traitsui/tutorials/traits_ui_scientific_app.html#extending-traitsui-adding-a-matplotlib-figure-to-our-application

based on Qt-based code shared by Didrik Pinte, May 2012
http://markmail.org/message/z3hnoqruk56g2bje

## opt_robot_traj.ipynb

      
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                / opt_robot_traj.ipynb
            
            
              Created
              March 27, 2014 14:14
            
              
                Optimal pick-and-place trajectory for a robot : attempt to find it on a Fourier basis
              
          
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## mpl_background.ipynb

      
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                / mpl_background.ipynb
            
            
              Created
              March 26, 2014 09:53
            
              
                change the background color of a Matplotlib plot
              
          
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## sympy_interactive_plot.ipynb

      
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                / sympy_interactive_plot.ipynb
            
            
              Created
              March 20, 2014 16:02
            
              
                Interactive plot of a SymPy expression (using Traits)
              
          
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## tictoc.py
class TicToc(object):
    '''Timing class

    1st time an instance is called, it sets  a timestamp (time.time())
    2nd time, it computes and returns the difference (in seconds, float).

    Examples
    --------
    >>> t = TicToc()
    >>> t() # returns time.time()

## index.html
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="utf-8">
    <title>Storage animation</title>
    <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>

    <style>

    body { font-family: sans-serif;}
	#!/usr/bin/python
	# -- coding: utf-8 --
	# Pierre Haessig — May 2014
	"""A simple code to interact in Python with the "real" 2048 game in web browser.
	"""

	from __future__ import print_function
	from selenium import webdriver
	from selenium.webdriver.common.keys import Keys
	#!/usr/bin/env python

	# Original source : https://gist.github.com/iMichka/9901318
	# Change : use a timer

	import sys
	import numpy
	from PyQt4 import QtGui, QtCore
	from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg
	from matplotlib.collections import PolyCollection
	#!/usr/bin/python
	# -- coding: utf-8 --
	# Pierre Haessig — March 2014
	"""
	Qt adaptation of Gael Varoquaux's tutorial to integrate Matplotlib
	http://docs.enthought.com/traitsui/tutorials/traits_ui_scientific_app.html#extending-traitsui-adding-a-matplotlib-figure-to-our-application

	based on Qt-based code shared by Didrik Pinte, May 2012
	http://markmail.org/message/z3hnoqruk56g2bje
	class TicToc(object):
	'''Timing class

	1st time an instance is called, it sets a timestamp (time.time())
	2nd time, it computes and returns the difference (in seconds, float).

	Examples
	--------
	>>> t = TicToc()
	>>> t() # returns time.time()
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Storage animation</title>
	<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>

	<style>

	body { font-family: sans-serif;}