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

1. Download "Windows x86 MSI Installer" for Python 2.6.6 from http://www.python.org/download/releases/2.6.6/
   1. 
2. Run the installer.
   1. Double click this icon to start installer.
3. Step through the installer program.
   1. Except as otherwise noted, click "Next" to bring forward Installation.
   2. Choice "Install for all users" and click "Next."
   3. Click "next".
   4. File:Data/050998d9a57e931e46c2c70119982d27.png Click "next".

Numpy

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

1. Download "numpy-1.5.1-win32-superpack-python2.6.exe" from http://sourceforge.net/projects/numpy/files/NumPy/1.5.1/.
   1. File:d9f9e4c26024b18dc4b21b099e7f900d.png]]
2. Run the installer.
   1. Double click this icon to start installer.
3. Step through the installer program.
   1. Except as otherwise noted, click "Next" to bring forward Installation.
   2. Choice "Python Version 2.6" and click "Next".

Scipy

Scipy is a open-source python module for mathematics, science, and engineering.

1. Download "scipy-0.8.0-win32-superpack-python2.6.exe" from http://sourceforge.net/projects/scipy/files/scipy/0.8.0/.
   1. 
2. Run the installer.
   1. Double click this icon to start installer.
3. Step through the installer plogram.
   1. Except as otherwise noted, click "Next" to bring forward Installation.
   2. Choice "Python Version 2.6" and click "Next".

Matplotlib

Matplotlib is a plotting library for the Python.

1. Visit the official page of matplotlib at http://matplotlib.sourceforge.net/.
2. Click on the download link.
   1. http://gyazo.argmax.jp/data/88d00ceb483579b5c45915a42ad2dbcf.png
3. Download "matplotlib-1.0.1.win32-py2.6.exe".
   1. 
4. Run the installer.
   1. Double click this icon to start installer.
5. Step through the installer program.
   1. Except as otherwise noted, click "Next" to bring forward Installation.
   2. 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