Editing Manual

*Python installation manual for Windows

Notice that you must have administrative rights on your computer for this manual
This manual is only for 32bit windows.
**Python

# Download "Windows x86 MSI Installer" for Python 2.6.6 from http://www.python.org/download/releases/2.6.6/
##http://gyazo.argmax.jp/data/0805d491734b39856b5c8e178c9de66e.png
# Run the installer.
##http://gyazo.argmax.jp/data/c926e6405ff303a6c80625204a5b7a9f.png Double click this icon to start installer.
# Step through the installer program.
## Except as otherwise noted, click "Next" to bring forward Installation.
## http://gyazo.argmax.jp/data/743ee27846ed5bd129ed67a12d3bf5de.png Choice "Install for all users" and click "Next."
## http://gyazo.argmax.jp/data/94be0d2c7a90dc5450c1581903b6e2fe.png Click "next".
## http://gyazo.argmax.jp/data/050998d9a57e931e46c2c70119982d27.png Click "next".

**Numpy
NumPy is a open-source numerical computation module for Python.

# Download "numpy-1.5.1-win32-superpack-python2.6.exe" from http://sourceforge.net/projects/numpy/files/NumPy/1.5.1/.
## http://gyazo.argmax.jp/data/d9f9e4c26024b18dc4b21b099e7f900d.png
# Run the installer.
## http://gyazo.argmax.jp/data/347aa09541427e1dcfb7935f86d5c897.png Double click this icon to start installer.
# Step through the installer program.
## Except as otherwise noted, click "Next" to bring forward Installation.
## http://gyazo.argmax.jp/data/5df43fd3c06be4c91191e64e21ec4999.png Choice "Python Version 2.6" and click "Next".

**Scipy
Scipy is a open-source python module for mathematics, science, and engineering.
# Download "scipy-0.8.0-win32-superpack-python2.6.exe" from http://sourceforge.net/projects/scipy/files/scipy/0.8.0/.
## http://gyazo.argmax.jp/data/b5e1b8069c20d716069c8a3eb221b87a.png
# Run the installer.
## http://gyazo.argmax.jp/data/55c0bcade8ab3d8a2c51dd08854a2576.png Double click this icon to start installer.
# Step through the installer plogram.
## Except as otherwise noted, click "Next" to bring forward Installation.
## http://gyazo.argmax.jp/data/a2ee9ebb15add7638912245704e55878.png Choice "Python Version 2.6" and click "Next".
**Matplotlib
Matplotlib is a plotting library for the Python.

# Visit the official page of matplotlib at http://matplotlib.sourceforge.net/.
# Click on the [["download"|http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0.1/]] link.
## http://gyazo.argmax.jp/data/88d00ceb483579b5c45915a42ad2dbcf.png
# Download "matplotlib-1.0.1.win32-py2.6.exe".
## http://gyazo.argmax.jp/data/b3ac9b2154bafd5809b68f8cdf0ac429.png
# Run the installer.
## http://gyazo.argmax.jp/data/dea1f1d5e133c39cd9a52559bb8207ab.png Double click this icon to start installer.
# Step through the installer program.
## Except as otherwise noted, click "Next" to bring forward Installation.
## http://gyazo.argmax.jp/data/cd94b01550095502721ca4acc5747f28.png Choice "Python Version 2.6" and click "Next".

* Sample code for analyzing neurotycho data in python.
Notice the we assume "C:/neurotycho" as download directory. If You have download neurotycho datasets elsewhere, adapt the pathes below. 
** plotting
 #!/usr/bin/python
 #-*- coding: utf-8 -*-
 import numpy as np
 import scipy.io
 import scipy
 import matplotlib
 import matplotlib.pyplot as plt
 
 _indir = "C:/neurotycho/20100604_S1_ST_K2_ToruYanagawa_mat_ECoG128-Event3/"
 
 def load_mat(path):
     """
     loading a matlab data using scipy.io
     """
     return scipy.io.loadmat(path)
 
 if __name__=="__main__":
     mat = load_mat(_indir+"ECoG_ch1.mat")#loading ECoG data
     data = mat["ECoGData_ch1"][0]
     event = load_mat(_indir+"Event.mat")##loading event data
     eindex = event["EventIndex"][0]#EventIndex is one-row vector contains indexes when events were occurred in ECoG data.
     fig = plt.figure()
     ax = fig.add_subplot(111)
     ax.plot(data)#plotting ECoGdata
     ax.annotate('Inject anesthetic drug',
                 xy=(eindex[0],data[eindex[0]]),
                 xytext=(eindex[0]-170000,2000),
                 arrowprops=dict(facecolor='black', shrink=0.1,),
                 )
     plt.show()

***result
http://gyazo.argmax.jp/data/ca592b24adff54e62f5e2f7af236e919.png