mtakemiya

mtakemiya

mtakemiya

import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm

shou = np.random.random(100)
chiku = np.log(shou)
bai = np.exp2(shou)

data=[shou, chiku, bai]
ll = ["shou (" + str(np.round(np.mean(shou),decimals=2))+")", "chiku (" + str(np.round(np.mean(chiku),decimals=2))+")", "bai (" + str(np.round(np.mean(bai),decimals=2))+")"]

mtakemiya

import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm

shou = np.random.random(100)
chiku = np.log(shou)
bai = np.exp2(shou)

data=[shou, chiku, bai]
ll = ["shou (" + str(np.round(np.mean(shou),decimals=2))+")", "chiku (" + str(np.round(np.mean(chiku),decimals=2))+")", "bai (" + str(np.round(np.mean(bai),decimals=2))+")"]

mtakemiya

[chData, chHeader, fileInfo] = ns_Reader('raw_EMG_signal.nsn');

mtakemiya

load('fileName.mat')

% plot data from the first channel, for example,
plot(chData.ch1.value)

mtakemiya

library("hdf5")

hdf5::hdf5load("fileName.mat")

# To show the value of chData, for example,
chData$ch1$value[[1]]

mtakemiya

import h5py

f = h5py.File('fileName.mat')

fileHeader = f['fileInfo']
data = f['chData']
dataHeaders = f['chHeader']

numChannels = len(data)

mtakemiya

/**
 * www.brainliner.jp
 * 
 * @author 武宮　誠 「Makoto Takemiya」<br />
 * （株）国際電気通信基礎技術研究・脳情報研究所・神経情報学研究室<br/>
 * 「ATR - Computational Neuroscience Laboratories, Department of Neuroinformatics」
 *
 * @version 2012/03/22
 */
public class StreamingInMemoryDestFile extends InMemoryDestFile {

mtakemiya

package jp.atr.dni.zip.test;

import java.io.FileNotFoundException;
import java.io.InputStream;
import java.util.List;
import java.util.zip.ZipFile;

import org.apache.commons.io.IOUtils;

/**