{"id":16649911,"url":"https://github.com/griffintaur/visualizations","last_synced_at":"2026-04-21T17:40:02.366Z","repository":{"id":88357273,"uuid":"100406296","full_name":"Griffintaur/visualizations","owner":"Griffintaur","description":null,"archived":false,"fork":false,"pushed_at":"2017-08-15T19:25:58.000Z","size":23316,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-12T13:29:34.087Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-12T09:14:14.656Z","updated_at":"2026-04-21T17:40:02.315Z","avatar_url":"https://github.com/Griffintaur.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## This contains visualization for the EEG Database Data Set \n## Below visualizations has been performed on the (smni97_eeg_data.tar.gz) dataset\n\n\n\n```python\nimport tarfile\nimport gzip\nimport os\nimport cPickle as pickle\nimport pandas as pd\nimport matplotlib.pyplot as plt\n% matplotlib inline\nimport numpy as np\nimport seaborn as sns\nfrom scipy import stats\n\n```\n\n\n```python\ndef extract(fname,filetowrite,g,logger):\n    if (fname.endswith(\"tar.gz\")):\n        tar = tarfile.open(fname, \"r:gz\")\n        tar.extractall()\n        tar.close()\n    elif (fname.endswith(\"tar\")):\n        tar = tarfile.open(fname, \"r:\")\n        tar.extractall()\n        tar.close()\n    elif (fname.endswith(\"gz\")):\n        Parse(fname,filetowrite,g,logger)\n        \n```\n\n\n```python\ndef func(files,filetowrite,g,logger):\n    for file in files:\n        if os.path.isdir(file):\n            g=os.path.abspath(file)\n            func(os.listdir(g),filetowrite,g,logger)\n        else:\n            extract(file,filetowrite,g,logger)\n \n```\n\n\n```python\ndef Parse(fname,filetowrite,g,logger):\n    fname=os.path.join(g,fname)\n    f=gzip.open(fname, 'rb')\n    #shutil.copyfileobj(f,filetowrite)\n#    with open(file, 'r') as f:\n    firstline = f.readline().rstrip() \n    identifier=firstline[2:]\n    if firstline[5]=='a':\n        typeof='alcoholic'\n    else:\n        typeof='control'\n    f.readline()\n    f.readline()\n    obj=f.readline().split()\n    try:\n        subject=obj[1]\n    except IndexError:\n        subject='NotAvailable'\n        logger.write(\"Eror in {0} and {1} \" .format(fname,obj))\n    while True:\n        info=f.readline().split()\n        if not info: break\n        try:\n            channel=info[3]\n            logger.write(\"Eror in {0} and {1} \".format(fname,info))\n        except IndexError:\n            channel=\"NotAvailable\"\n        global outputdump\n        #list strcutire['identifier',typeof,subject,channel,trial,sensor position,sample number,sensor value]\n    \n        for x in xrange(256):\n           inputparam=f.readline().rstrip().split()\n           try:\n               temp=identifier,typeof,subject,channel,inputparam[0],inputparam[1],inputparam[2],inputparam[3]\n    #       print temp\n               outputdump.append(temp)\n           except:\n               continue\n#    pickle.dump(outputdump,filetowrite)\n    #MainProcessing start\n\n        \n       \n```\n\n\n```python\n    try:\n        databasename='output.dat'\n        fil=open(databasename,\"rb\")\n        dataset=pickle.load(fil)\n    except:            \n        filetowrite=open(databasename,\"wb\") \n        loggerfile=open('trace.txt',\"wb\")\n        files=os.listdir(os.getcwd())\n        func(files,filetowrite,os.getcwd(),loggerfile)\n        pickle.dump(outputdump,filetowrite)\n        fil=open(databasename,\"rb\")\n        dataset=pickle.load(fil)\n    df = pd.DataFrame(data = dataset, columns=['identifier','typeof','subject','channel','trial','sensorPosition','sampleNumber','sensorValue'])\n#   ild=df[df['subject']=='S1']\n#   print df\n#   iff=df.groupby(df['channel']).count()\n    ch=df.groupby([df['channel']])['sensorValue'].first()\n    ch=ch.reset_index()\n\n    ch=ch.astype(float)\n    plt.bar(ch['channel'],ch['sensorValue'])\n    sns.plt.show()\n\n    \n```\n\n\n![png](images/output_4_0.png)\n\n\n\n```python\n    sp=df[['trial','channel','sensorValue']]\n    sp=sp.astype(float)\n    sns.pairplot(sp)\n    sns.plt.show()\n```\n\n\n![png](images/output_5_0.png)\n\n\n\n![png](images/output_5_1.png)\n\n\n\n```python\n   pt=df[df['channel']=='56']\n   pt=pt[['channel','sensorValue']]\n   pt=pt.astype(float)\n   plt.plot(pt['sensorValue'])\n#    plt.plot(ch['channel'])\n   sns.plt.show()\n   q2=pt=df[df['channel']=='56']\n   q2=q2.groupby([df['trial']])['sensorValue'].first()\n   q2=q2.reset_index()\n#   print q2\n   q2=q2.astype(float)\n   plt.bar(q2['trial'],q2['sensorValue'])\n   plt.show()\n   \n```\n\n\n![png](images/output_6_0.png)\n\n\n\n![png](images/output_6_1.png)\n\n\n\n```python\nq3=df[['channel','trial','sensorValue']]\n# q3[['sensorValue']]=q3[['sensorValue']].resample('3T').mean()\nq3=q3.astype(float)\nq3=q3.groupby([q3['channel'],q3['trial']])['sensorValue'].mean()\nq3=q3.reset_index()\n#    print q3\nplt.figure(figsize=(20,20))\nresult = q3.pivot('channel','trial','sensorValue')\nsns.heatmap(result, annot=True, fmt=\"g\", cmap='viridis')\nplt.show()\n# \n```\n\n\n![png](images/output_7_0.png)\n\n\n\n```python\n\"\"\"Here we are computing the cross corelation between the different sensor position for subject S1 for all avaailable trials.\nand then we are looking for the sensor positions which have the highest cross-corrleation\"\"\"\nmaxtillnow=-100000000000\nelectrode1=None\nelectrode2=None\nlistedtrials=df[df['subject']=='S1']\nlistedtrials=listedtrials.groupby([listedtrials['trial']])['sensorValue'].first()\n#    print listedtrials\nlistedtrials=listedtrials.reset_index()\nalltrials=listedtrials['trial'].get_values()\nfor trial in alltrials:\n   q4=df[df['trial']==trial]\n   q4[['channel','sensorValue']]=q4[['channel','sensorValue']].apply(pd.to_numeric)\n   for x in xrange(64):\n\n       input1=q4[q4['channel']==x]\n       input11=input1['sensorValue']\n       for y in xrange(64):\n           if x == y :\n               y=y+1\n               continue\n           input2=q4[q4['channel']==y]\n           input12=input2['sensorValue']\n           out=np.correlate(input11,input12)\n           if out\u003emaxtillnow:\n               maxtillnow=out\n               electrode1=input1['sensorPosition'].get_values()[0]\n               electrode2=input2['sensorPosition'].get_values()[0]\n           y=y+1\n       x=x+1\n   p1=df.groupby(df['sensorPosition']).count()\n   p1=p1.reset_index()\n   countelectrode1=p1[p1['sensorPosition']==electrode1]\n   countelectrode1=countelectrode1['sensorPosition'].get_values()[0]\n   countelectrode2=p1[p1['sensorPosition']==electrode2]\n   countelectrode2=countelectrode2['sensorPosition'].get_values()[0]\n   maxCount=countelectrode1 if countelectrode1\u003e=countelectrode2 else countelectrode2\n   print \"Max count Sensor Position is \",maxCount\n   print \"electrodes having the highest correlation are {} and {} for trial {} \".format(electrode1,electrode2,trial)\n  # print \"and the correlation value is\", maxtillnow\n```\n\n    Max count Sensor Position is  Y\n    electrodes having the highest correlation are CZ and Y for trial 0 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 10 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 12 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 14 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 16 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 18 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 2 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 20 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 22 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 24 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 26 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 28 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 30 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 32 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 34 \n    Max count Sensor Position is  X\n    electrodes having the highest correlation are FP1 and X for trial 36 \n    \n\n\u003cp\u003eHere we can see that the electrode having the most correlation in almost all trial is X \u003c/p\u003e\n\n\n```python\n# creating two groups\n\"\"\"Here we are trying to gauge any difference between the alcoholic and control group which are having subject as S2\"\"\"\nsp=df[['trial','channel','sensorValue']]\nsp=sp.astype(float)\nsns.pairplot(sp)\nlistedtrials=df.groupby([df['sensorPosition']])['sensorValue'].first()\n#    print listedtrials\n\nlistedtrials=listedtrials.reset_index()\nalltrials=listedtrials['sensorPosition'].get_values()\ngroup1=df[(df['typeof']=='alcoholic') \u0026 (df['subject']=='S2')] \ngroup1=group1.reset_index()\ngroup1=group1[['sensorValue']]\ngroup1=group1.astype(float)\n\ngroup2=df[(df['typeof']=='control') \u0026 (df['subject']=='S2')] \ngroup2=group2.reset_index()\ngroup2=group2[['sensorValue']]\ngroup2=group2.astype(float)\n\nprint group1.describe()\nprint group2.describe()\nplt.plot(group1)\nplt.plot(group2)\nplt.show()\n\nsns.distplot(group1)\nsns.distplot(group2)\nplt.show()\n\nprint stats.ttest_rel(group1,group2)\nsns.boxplot(group1,color=\"red\")\nplt.show()\nsns.boxplot(group2,color=\"green\")\n\nplt.show()\n\nprint stats.ttest_1samp(group1,0)\nprint stats.ttest_ind(group1,group2)\n```\n\n             sensorValue\n    count  327680.000000\n    mean       -2.889747\n    std         9.302859\n    min       -92.539000\n    25%        -7.111000\n    50%        -2.563000\n    75%         0.977000\n    max       183.777000\n             sensorValue\n    count  327680.000000\n    mean       -4.442456\n    std        11.818993\n    min       -94.655000\n    25%       -10.010000\n    50%        -4.415000\n    75%         0.407000\n    max       278.687000\n    \n\n\n![png](images/output_10_1.png)\n\n\n\n![png](images/output_10_2.png)\n\n\n    Ttest_relResult(statistic=array([ 60.43492541]), pvalue=array([ 0.]))\n    \n\n\n![png](images/output_10_4.png)\n\n\n\n![png](images/output_10_5.png)\n\n\n    Ttest_1sampResult(statistic=array([-177.81500464]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 59.09329339]), pvalue=array([ 0.]))\n    \n\n\u003cp\u003eHere we can see that there is not much difference between the two groups alocholic and control having the subject S2.\nYou can see the distribution of both the group are nearly identical having no much quantifiable difference\u003c/p\u003e\n\n\n```python\n# creating two groups\nsp=df[['trial','channel','sensorValue']]\nsp=sp.astype(float)\nsns.pairplot(sp)\nlistedtrials=df.groupby([df['sensorPosition']])['sensorValue'].first()\n#    print listedtrials\n\nlistedtrials=listedtrials.reset_index()\nsensorPositions=listedtrials['sensorPosition'].get_values()\nsensorPositions=list(set(sensorPositions))\n#  trial='CZ'\nfor sensorPosition in sensorPositions:\n    group1=df[(df['typeof']=='alcoholic') \u0026 (df['subject']=='S2') \u0026(df['sensorPosition']==sensorPosition)] \n    group1=group1.reset_index()\n    group1=group1[['sensorValue']]\n    group1=group1.astype(float)\n\n    group2=df[(df['typeof']=='control') \u0026 (df['subject']=='S2')\u0026(df['sensorPosition']==sensorPosition)] \n    group2=group2.reset_index()\n    group2=group2[['sensorValue']]\n    group2=group2.astype(float)\n    print \"================Sensor Position {}================================\".format(sensorPosition)\n    print group1.describe()\n    print group2.describe()\n    plt.plot(group1)\n    plt.plot(group2)\n    plt.show()\n\n    sns.distplot(group1)\n    sns.distplot(group2)\n    plt.show()\n\n    print stats.ttest_rel(group1,group2)\n    sns.boxplot(group1,color=\"red\")\n    plt.show()\n    sns.boxplot(group2,color=\"green\")\n\n    plt.show()\n\n    print stats.ttest_1samp(group1,0)\n    print stats.ttest_ind(group1,group2)\n\n```\n\n    ================Sensor Position P3================================\n           sensorValue\n    count  5120.000000\n    mean     -4.837254\n    std       4.612894\n    min     -20.467000\n    25%      -7.728500\n    50%      -4.709500\n    75%      -1.668000\n    max      11.810000\n           sensorValue\n    count  5120.000000\n    mean     -3.069020\n    std       7.022202\n    min     -31.453000\n    25%      -7.070000\n    50%      -2.726000\n    75%       1.302000\n    max      18.880000\n    \n\n\n![png](images/output_12_1.png)\n\n\n\n![png](images/output_12_2.png)\n\n\n    Ttest_relResult(statistic=array([-15.15950286]), pvalue=array([  8.20164346e-51]))\n    \n\n\n![png](images/output_12_4.png)\n\n\n\n![png](images/output_12_5.png)\n\n\n    Ttest_1sampResult(statistic=array([-75.03438855]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-15.05923331]), pvalue=array([  1.04643612e-50]))\n    ================Sensor Position FZ================================\n           sensorValue\n    count  5120.000000\n    mean      1.196083\n    std       5.395867\n    min     -11.627000\n    25%      -2.330000\n    50%       0.498000\n    75%       3.642000\n    max      34.485000\n           sensorValue\n    count  5120.000000\n    mean     -3.740252\n    std       8.530205\n    min     -23.824000\n    25%      -9.145000\n    50%      -4.893000\n    75%      -0.142000\n    max      53.955000\n    \n\n\n![png](images/output_12_7.png)\n\n\n\n![png](images/output_12_8.png)\n\n\n    Ttest_relResult(statistic=array([ 34.30592315]), pvalue=array([  2.41326663e-232]))\n    \n\n\n![png](images/output_12_10.png)\n\n\n\n![png](images/output_12_11.png)\n\n\n    Ttest_1sampResult(statistic=array([ 15.86116317]), pvalue=array([  2.40503106e-55]))\n    Ttest_indResult(statistic=array([ 34.99416426]), pvalue=array([  1.60177396e-253]))\n    ================Sensor Position Y================================\n           sensorValue\n    count  5120.000000\n    mean     -6.064127\n    std       7.945766\n    min     -36.855000\n    25%     -11.342000\n    50%      -6.114000\n    75%      -0.631000\n    max      23.132000\n           sensorValue\n    count  5120.000000\n    mean    -10.444007\n    std      11.229190\n    min     -41.901000\n    25%     -18.656000\n    50%     -10.742000\n    75%      -3.052000\n    max      38.666000\n    \n\n\n![png](images/output_12_13.png)\n\n\n\n![png](images/output_12_14.png)\n\n\n    Ttest_relResult(statistic=array([ 21.78583259]), pvalue=array([  1.04906185e-100]))\n    \n\n\n![png](images/output_12_16.png)\n\n\n\n![png](images/output_12_17.png)\n\n\n    Ttest_1sampResult(statistic=array([-54.60940762]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 22.78255021]), pvalue=array([  4.06584633e-112]))\n    ================Sensor Position CPZ================================\n           sensorValue\n    count  5120.000000\n    mean     -1.245552\n    std       2.271290\n    min     -11.169000\n    25%      -2.421000\n    50%      -0.987000\n    75%       0.224000\n    max       5.900000\n           sensorValue\n    count  5120.000000\n    mean      0.206828\n    std       3.568242\n    min     -19.297000\n    25%      -1.709000\n    50%       0.346000\n    75%       2.431000\n    max      10.010000\n    \n\n\n![png](images/output_12_19.png)\n\n\n\n![png](images/output_12_20.png)\n\n\n    Ttest_relResult(statistic=array([-24.01267831]), pvalue=array([  7.91117439e-121]))\n    \n\n\n![png](images/output_12_22.png)\n\n\n\n![png](images/output_12_23.png)\n\n\n    Ttest_1sampResult(statistic=array([-39.23955969]), pvalue=array([  1.12687644e-294]))\n    Ttest_indResult(statistic=array([-24.56950027]), pvalue=array([  1.44243783e-129]))\n    ================Sensor Position P1================================\n           sensorValue\n    count  5120.000000\n    mean     -4.135577\n    std       4.430385\n    min     -22.990000\n    25%      -6.632000\n    50%      -3.886000\n    75%      -1.221000\n    max      11.932000\n           sensorValue\n    count  5120.000000\n    mean     -2.210938\n    std       7.201149\n    min     -35.675000\n    25%      -6.144000\n    50%      -1.902000\n    75%       2.218000\n    max      19.958000\n    \n\n\n![png](images/output_12_25.png)\n\n\n\n![png](images/output_12_26.png)\n\n\n    Ttest_relResult(statistic=array([-16.32185628]), pvalue=array([  2.01784902e-58]))\n    \n\n\n![png](images/output_12_28.png)\n\n\n\n![png](images/output_12_29.png)\n\n\n    Ttest_1sampResult(statistic=array([-66.79279337]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-16.28835213]), pvalue=array([  6.55224755e-59]))\n    ================Sensor Position P6================================\n           sensorValue\n    count  5120.000000\n    mean     -6.747340\n    std       5.876491\n    min     -29.236000\n    25%     -10.539000\n    50%      -6.694000\n    75%      -2.764500\n    max      10.803000\n           sensorValue\n    count  5120.000000\n    mean     -5.618224\n    std       7.363871\n    min     -42.928000\n    25%     -10.030000\n    50%      -5.310000\n    75%      -0.559000\n    max      21.108000\n    \n\n\n![png](images/output_12_31.png)\n\n\n\n![png](images/output_12_32.png)\n\n\n    Ttest_relResult(statistic=array([-8.79015061]), pvalue=array([  2.00832320e-18]))\n    \n\n\n![png](images/output_12_34.png)\n\n\n\n![png](images/output_12_35.png)\n\n\n    Ttest_1sampResult(statistic=array([-82.15793142]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-8.57562033]), pvalue=array([  1.12798009e-17]))\n    ================Sensor Position FP1================================\n           sensorValue\n    count  5120.000000\n    mean      1.239114\n    std      16.405473\n    min     -24.577000\n    25%      -8.128000\n    50%      -1.872000\n    75%       4.344000\n    max     114.380000\n           sensorValue\n    count  5120.000000\n    mean     -2.660282\n    std      20.879979\n    min     -36.346000\n    25%     -12.665000\n    50%      -6.897000\n    75%       0.916000\n    max     156.728000\n    \n\n\n![png](images/output_12_37.png)\n\n\n\n![png](images/output_12_38.png)\n\n\n    Ttest_relResult(statistic=array([ 10.18758244]), pvalue=array([  3.82401694e-24]))\n    \n\n\n![png](images/output_12_40.png)\n\n\n\n![png](images/output_12_41.png)\n\n\n    Ttest_1sampResult(statistic=array([ 5.40452405]), pvalue=array([  6.79250912e-08]))\n    Ttest_indResult(statistic=array([ 10.50758562]), pvalue=array([  1.07690222e-25]))\n    ================Sensor Position O2================================\n           sensorValue\n    count  5120.000000\n    mean     -8.150737\n    std       7.279770\n    min     -35.085000\n    25%     -12.909000\n    50%      -8.189000\n    75%      -3.092000\n    max      17.537000\n           sensorValue\n    count  5120.000000\n    mean     -8.779143\n    std      10.021292\n    min     -55.298000\n    25%     -14.547000\n    50%      -8.433000\n    75%      -2.340000\n    max      23.783000\n    \n\n\n![png](images/output_12_43.png)\n\n\n\n![png](images/output_12_44.png)\n\n\n    Ttest_relResult(statistic=array([ 3.65006055]), pvalue=array([ 0.00026479]))\n    \n\n\n![png](images/output_12_46.png)\n\n\n\n![png](images/output_12_47.png)\n\n\n    Ttest_1sampResult(statistic=array([-80.11506132]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 3.63021572]), pvalue=array([ 0.00028457]))\n    ================Sensor Position O1================================\n           sensorValue\n    count  5120.000000\n    mean     -8.059503\n    std       7.612187\n    min     -35.817000\n    25%     -13.072000\n    50%      -7.884000\n    75%      -2.818000\n    max      20.549000\n           sensorValue\n    count  5120.000000\n    mean     -7.792183\n    std      10.467080\n    min     -52.755000\n    25%     -13.786500\n    50%      -7.436000\n    75%      -1.111250\n    max      27.751000\n    \n\n\n![png](images/output_12_49.png)\n\n\n\n![png](images/output_12_50.png)\n\n\n    Ttest_relResult(statistic=array([-1.49452709]), pvalue=array([ 0.13509954]))\n    \n\n\n![png](images/output_12_52.png)\n\n\n\n![png](images/output_12_53.png)\n\n\n    Ttest_1sampResult(statistic=array([-75.7589249]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-1.4779276]), pvalue=array([ 0.13945792]))\n    ================Sensor Position P7================================\n           sensorValue\n    count  5120.000000\n    mean     -7.874490\n    std       7.117379\n    min     -34.922000\n    25%     -12.828000\n    50%      -7.904000\n    75%      -3.062000\n    max      17.446000\n           sensorValue\n    count  5120.000000\n    mean     -7.176744\n    std       9.193440\n    min     -46.672000\n    25%     -12.838000\n    50%      -6.866000\n    75%      -1.251000\n    max      20.091000\n    \n\n\n![png](images/output_12_55.png)\n\n\n\n![png](images/output_12_56.png)\n\n\n    Ttest_relResult(statistic=array([-4.52938111]), pvalue=array([  6.05006953e-06]))\n    \n\n\n![png](images/output_12_58.png)\n\n\n\n![png](images/output_12_59.png)\n\n\n    Ttest_1sampResult(statistic=array([-79.16574293]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-4.29419524]), pvalue=array([  1.76944398e-05]))\n    ================Sensor Position POZ================================\n           sensorValue\n    count  5120.000000\n    mean     -5.559163\n    std       5.831079\n    min     -29.521000\n    25%      -8.998000\n    50%      -5.371000\n    75%      -1.668000\n    max      15.076000\n           sensorValue\n    count  5120.000000\n    mean     -5.216538\n    std       8.987910\n    min     -42.155000\n    25%     -10.244000\n    50%      -5.025000\n    75%       0.407000\n    max      25.523000\n    \n\n\n![png](images/output_12_61.png)\n\n\n\n![png](images/output_12_62.png)\n\n\n    Ttest_relResult(statistic=array([-2.29050206]), pvalue=array([ 0.0220327]))\n    \n\n\n![png](images/output_12_64.png)\n\n\n\n![png](images/output_12_65.png)\n\n\n    Ttest_1sampResult(statistic=array([-68.21745553]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-2.28830598]), pvalue=array([ 0.02213999]))\n    ================Sensor Position P4================================\n           sensorValue\n    count  5120.000000\n    mean     -4.783667\n    std       4.530626\n    min     -23.733000\n    25%      -7.609000\n    50%      -4.567000\n    75%      -1.760000\n    max      10.132000\n           sensorValue\n    count   5120.00000\n    mean      -3.68106\n    std        6.91290\n    min      -38.67600\n    25%       -8.14800\n    50%       -3.37700\n    75%        1.08800\n    max       19.26700\n    \n\n\n![png](images/output_12_67.png)\n\n\n\n![png](images/output_12_68.png)\n\n\n    Ttest_relResult(statistic=array([-9.79680636]), pvalue=array([  1.82892736e-22]))\n    \n\n\n![png](images/output_12_70.png)\n\n\n\n![png](images/output_12_71.png)\n\n\n    Ttest_1sampResult(statistic=array([-75.5505593]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-9.54548843]), pvalue=array([  1.66446865e-21]))\n    ================Sensor Position FT7================================\n           sensorValue\n    count  5120.000000\n    mean     -4.156498\n    std       8.909594\n    min     -37.547000\n    25%     -10.271750\n    50%      -4.405000\n    75%       1.689000\n    max      25.818000\n           sensorValue\n    count  5120.000000\n    mean     -6.617477\n    std       7.937364\n    min     -30.660000\n    25%     -12.004000\n    50%      -6.643000\n    75%      -1.292000\n    max      21.088000\n    \n\n\n![png](images/output_12_73.png)\n\n\n\n![png](images/output_12_74.png)\n\n\n    Ttest_relResult(statistic=array([ 14.92337037]), pvalue=array([  2.49800673e-49]))\n    \n\n\n![png](images/output_12_76.png)\n\n\n\n![png](images/output_12_77.png)\n\n\n    Ttest_1sampResult(statistic=array([-33.38140938]), pvalue=array([  3.13355799e-221]))\n    Ttest_indResult(statistic=array([ 14.75755333]), pvalue=array([  8.70957835e-49]))\n    ================Sensor Position PZ================================\n           sensorValue\n    count  5120.000000\n    mean     -3.027212\n    std       4.045148\n    min     -19.887000\n    25%      -5.292500\n    50%      -2.736500\n    75%      -0.468000\n    max      10.295000\n           sensorValue\n    count  5120.000000\n    mean     -1.696615\n    std       7.279488\n    min     -36.326000\n    25%      -6.195000\n    50%      -1.643000\n    75%       3.215000\n    max      20.660000\n    \n\n\n![png](images/output_12_79.png)\n\n\n\n![png](images/output_12_80.png)\n\n\n    Ttest_relResult(statistic=array([-11.31069414]), pvalue=array([  2.58153648e-29]))\n    \n\n\n![png](images/output_12_82.png)\n\n\n\n![png](images/output_12_83.png)\n\n\n    Ttest_1sampResult(statistic=array([-53.54801139]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-11.43260353]), pvalue=array([  4.37338117e-30]))\n    ================Sensor Position FT8================================\n           sensorValue\n    count  5120.000000\n    mean     -3.428419\n    std       5.974880\n    min     -24.994000\n    25%      -7.416000\n    50%      -3.530000\n    75%       0.381250\n    max      19.165000\n           sensorValue\n    count  5120.000000\n    mean     -6.446998\n    std       8.799999\n    min     -38.788000\n    25%     -12.299000\n    50%      -6.551000\n    75%      -0.580000\n    max      32.644000\n    \n\n\n![png](images/output_12_85.png)\n\n\n\n![png](images/output_12_86.png)\n\n\n    Ttest_relResult(statistic=array([ 20.89842295]), pvalue=array([  3.89216277e-93]))\n    \n\n\n![png](images/output_12_88.png)\n\n\n\n![png](images/output_12_89.png)\n\n\n    Ttest_1sampResult(statistic=array([-41.05817765]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 20.30630844]), pvalue=array([  6.57886113e-90]))\n    ================Sensor Position FCZ================================\n           sensorValue\n    count  5120.000000\n    mean      0.977837\n    std       2.682489\n    min      -7.914000\n    25%      -0.732000\n    50%       0.829000\n    75%       2.533000\n    max      12.807000\n           sensorValue\n    count  5120.000000\n    mean     -2.346107\n    std       4.136924\n    min     -13.377000\n    25%      -5.157000\n    50%      -2.675000\n    75%       0.203000\n    max      19.358000\n    \n\n\n![png](images/output_12_91.png)\n\n\n\n![png](images/output_12_92.png)\n\n\n    Ttest_relResult(statistic=array([ 48.92302074]), pvalue=array([ 0.]))\n    \n\n\n![png](images/output_12_94.png)\n\n\n\n![png](images/output_12_95.png)\n\n\n    Ttest_1sampResult(statistic=array([ 26.08336405]), pvalue=array([  6.36124863e-141]))\n    Ttest_indResult(statistic=array([ 48.23888765]), pvalue=array([ 0.]))\n    ================Sensor Position nd================================\n           sensorValue\n    count  5120.000000\n    mean      1.293718\n    std      16.092510\n    min     -23.346000\n    25%      -7.751000\n    50%      -1.811000\n    75%       4.272000\n    max     111.888000\n           sensorValue\n    count  5120.000000\n    mean     -2.778465\n    std      20.501489\n    min     -35.960000\n    25%     -12.655000\n    50%      -6.927000\n    75%       0.529000\n    max     153.168000\n    \n\n\n![png](images/output_12_97.png)\n\n\n\n![png](images/output_12_98.png)\n\n\n    Ttest_relResult(statistic=array([ 10.85725757]), pvalue=array([  3.63486060e-27]))\n    \n\n\n![png](images/output_12_100.png)\n\n\n\n![png](images/output_12_101.png)\n\n\n    Ttest_1sampResult(statistic=array([ 5.75242118]), pvalue=array([  9.30813218e-09]))\n    Ttest_indResult(statistic=array([ 11.17989904]), pvalue=array([  7.51268303e-29]))\n    ================Sensor Position TP7================================\n           sensorValue\n    count  5120.000000\n    mean     -6.965830\n    std       7.360054\n    min     -32.471000\n    25%     -11.965500\n    50%      -7.039000\n    75%      -1.801000\n    max      26.316000\n           sensorValue\n    count  5120.000000\n    mean     -6.895196\n    std       8.011946\n    min     -39.337000\n    25%     -12.085000\n    50%      -6.541000\n    75%      -1.506000\n    max      18.728000\n    \n\n\n![png](images/output_12_103.png)\n\n\n\n![png](images/output_12_104.png)\n\n\n    Ttest_relResult(statistic=array([-0.4924086]), pvalue=array([ 0.62245164]))\n    \n\n\n![png](images/output_12_106.png)\n\n\n\n![png](images/output_12_107.png)\n\n\n    Ttest_1sampResult(statistic=array([-67.72154777]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-0.46456143]), pvalue=array([ 0.64225543]))\n    ================Sensor Position OZ================================\n           sensorValue\n    count  5120.000000\n    mean     -7.914446\n    std       7.359834\n    min     -35.258000\n    25%     -12.655000\n    50%      -7.863000\n    75%      -2.981000\n    max      20.223000\n           sensorValue\n    count  5120.000000\n    mean     -8.290614\n    std      10.520413\n    min     -53.355000\n    25%     -14.170000\n    50%      -7.802000\n    75%      -1.607000\n    max      26.428000\n    \n\n\n![png](images/output_12_109.png)\n\n\n\n![png](images/output_12_110.png)\n\n\n    Ttest_relResult(statistic=array([ 2.12074757]), pvalue=array([ 0.033991]))\n    \n\n\n![png](images/output_12_112.png)\n\n\n\n![png](images/output_12_113.png)\n\n\n    Ttest_1sampResult(statistic=array([-76.94625056]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 2.096416]), pvalue=array([ 0.03606978]))\n    ================Sensor Position AF8================================\n           sensorValue\n    count  5120.000000\n    mean      0.237434\n    std      13.927885\n    min     -33.549000\n    25%      -8.341000\n    50%      -1.434000\n    75%       6.276250\n    max     104.940000\n           sensorValue\n    count  5120.000000\n    mean     -2.672583\n    std      24.057878\n    min     -45.227000\n    25%     -13.494000\n    50%      -7.273000\n    75%       0.264000\n    max     171.366000\n    \n\n\n![png](images/output_12_115.png)\n\n\n\n![png](images/output_12_116.png)\n\n\n    Ttest_relResult(statistic=array([ 7.41293584]), pvalue=array([  1.43773197e-13]))\n    \n\n\n![png](images/output_12_118.png)\n\n\n\n![png](images/output_12_119.png)\n\n\n    Ttest_1sampResult(statistic=array([ 1.2198114]), pvalue=array([ 0.22259257]))\n    Ttest_indResult(statistic=array([ 7.49041769]), pvalue=array([  7.43207939e-14]))\n    ================Sensor Position FP2================================\n           sensorValue\n    count  5120.000000\n    mean      1.530269\n    std      16.300795\n    min     -25.930000\n    25%      -7.650000\n    50%      -1.475000\n    75%       5.051000\n    max     121.277000\n           sensorValue\n    count  5120.000000\n    mean     -1.847245\n    std      24.731120\n    min     -38.055000\n    25%     -12.868000\n    50%      -6.744500\n    75%       1.109000\n    max     180.796000\n    \n\n\n![png](images/output_12_121.png)\n\n\n\n![png](images/output_12_122.png)\n\n\n    Ttest_relResult(statistic=array([ 7.94010462]), pvalue=array([  2.46394578e-15]))\n    \n\n\n![png](images/output_12_124.png)\n\n\n\n![png](images/output_12_125.png)\n\n\n    Ttest_1sampResult(statistic=array([ 6.7172861]), pvalue=array([  2.05267217e-11]))\n    Ttest_indResult(statistic=array([ 8.15918943]), pvalue=array([  3.76865305e-16]))\n    ================Sensor Position C3================================\n           sensorValue\n    count  5120.000000\n    mean     -2.203844\n    std       6.124907\n    min     -39.795000\n    25%      -4.995000\n    50%      -2.355000\n    75%       0.264000\n    max      36.051000\n           sensorValue\n    count  5120.000000\n    mean     -2.455681\n    std       3.827000\n    min     -19.969000\n    25%      -4.934000\n    50%      -2.492000\n    75%       0.081000\n    max      10.874000\n    \n\n\n![png](images/output_12_127.png)\n\n\n\n![png](images/output_12_128.png)\n\n\n    Ttest_relResult(statistic=array([ 2.55418756]), pvalue=array([ 0.0106723]))\n    \n\n\n![png](images/output_12_130.png)\n\n\n\n![png](images/output_12_131.png)\n\n\n    Ttest_1sampResult(statistic=array([-25.74639171]), pvalue=array([  1.44935064e-137]))\n    Ttest_indResult(statistic=array([ 2.49507453]), pvalue=array([ 0.0126087]))\n    ================Sensor Position C2================================\n           sensorValue\n    count  5120.000000\n    mean      0.144060\n    std       2.099661\n    min      -9.410000\n    25%      -1.243750\n    50%       0.081000\n    75%       1.434000\n    max      10.925000\n           sensorValue\n    count  5120.000000\n    mean     -1.111789\n    std       4.206095\n    min     -16.032000\n    25%      -3.916000\n    50%      -1.261000\n    75%       1.424000\n    max      17.629000\n    \n\n\n![png](images/output_12_133.png)\n\n\n\n![png](images/output_12_134.png)\n\n\n    Ttest_relResult(statistic=array([ 19.7274548]), pvalue=array([  1.48667243e-83]))\n    \n\n\n![png](images/output_12_136.png)\n\n\n\n![png](images/output_12_137.png)\n\n\n    Ttest_1sampResult(statistic=array([ 4.90942145]), pvalue=array([  9.41833404e-07]))\n    Ttest_indResult(statistic=array([ 19.11517319]), pvalue=array([  4.64134350e-80]))\n    ================Sensor Position C1================================\n           sensorValue\n    count  5120.000000\n    mean     -0.609116\n    std       2.616856\n    min     -15.147000\n    25%      -2.146000\n    50%      -0.570000\n    75%       0.895000\n    max      12.665000\n           sensorValue\n    count  5120.000000\n    mean     -0.747901\n    std       3.205461\n    min     -15.828000\n    25%      -2.777000\n    50%      -0.641000\n    75%       1.312000\n    max       9.878000\n    \n\n\n![png](images/output_12_139.png)\n\n\n\n![png](images/output_12_140.png)\n\n\n    Ttest_relResult(statistic=array([ 2.53560083]), pvalue=array([ 0.01125496]))\n    \n\n\n![png](images/output_12_142.png)\n\n\n\n![png](images/output_12_143.png)\n\n\n    Ttest_1sampResult(statistic=array([-16.65539599]), pvalue=array([  1.06813243e-60]))\n    Ttest_indResult(statistic=array([ 2.39987102]), pvalue=array([ 0.0164186]))\n    ================Sensor Position AF7================================\n           sensorValue\n    count  5120.000000\n    mean     -0.242899\n    std      13.569091\n    min     -31.789000\n    25%      -8.270000\n    50%      -2.167000\n    75%       4.201000\n    max      84.981000\n           sensorValue\n    count  5120.000000\n    mean     -4.030458\n    std      16.658542\n    min     -32.623000\n    25%     -12.950000\n    50%      -7.233000\n    75%       0.071000\n    max     118.479000\n    \n\n\n![png](images/output_12_145.png)\n\n\n\n![png](images/output_12_146.png)\n\n\n    Ttest_relResult(statistic=array([ 12.16582738]), pvalue=array([  1.36947693e-33]))\n    \n\n\n![png](images/output_12_148.png)\n\n\n\n![png](images/output_12_149.png)\n\n\n    Ttest_1sampResult(statistic=array([-1.28088249]), pvalue=array([ 0.20029297]))\n    Ttest_indResult(statistic=array([ 12.61388167]), pvalue=array([  3.28978768e-36]))\n    ================Sensor Position C6================================\n           sensorValue\n    count  5120.000000\n    mean     -2.371727\n    std       3.556693\n    min     -13.916000\n    25%      -4.873000\n    50%      -2.513000\n    75%      -0.142000\n    max      11.912000\n           sensorValue\n    count  5120.000000\n    mean     -4.514252\n    std       6.733284\n    min     -30.131000\n    25%      -8.993000\n    50%      -4.527000\n    75%      -0.031000\n    max      20.477000\n    \n\n\n![png](images/output_12_151.png)\n\n\n\n![png](images/output_12_152.png)\n\n\n    Ttest_relResult(statistic=array([ 20.42278155]), pvalue=array([  3.45680316e-89]))\n    \n\n\n![png](images/output_12_154.png)\n\n\n\n![png](images/output_12_155.png)\n\n\n    Ttest_1sampResult(statistic=array([-47.71483]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 20.13236813]), pvalue=array([  1.95195647e-88]))\n    ================Sensor Position C5================================\n           sensorValue\n    count  5120.000000\n    mean     -3.598246\n    std       5.332873\n    min     -25.675000\n    25%      -7.039000\n    50%      -3.774000\n    75%      -0.376000\n    max      21.749000\n           sensorValue\n    count  5120.000000\n    mean     -4.581454\n    std       5.729438\n    min     -23.417000\n    25%      -8.413000\n    50%      -4.415000\n    75%      -0.824000\n    max      14.048000\n    \n\n\n![png](images/output_12_157.png)\n\n\n\n![png](images/output_12_158.png)\n\n\n    Ttest_relResult(statistic=array([ 9.25772074]), pvalue=array([  3.00250238e-20]))\n    \n\n\n![png](images/output_12_160.png)\n\n\n\n![png](images/output_12_161.png)\n\n\n    Ttest_1sampResult(statistic=array([-48.27969529]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 8.98816434]), pvalue=array([  2.95735740e-19]))\n    ================Sensor Position C4================================\n           sensorValue\n    count  5120.000000\n    mean     -0.673136\n    std       4.023122\n    min     -21.057000\n    25%      -3.245000\n    50%      -0.936000\n    75%       1.495000\n    max      20.549000\n           sensorValue\n    count  5120.000000\n    mean     -2.189241\n    std       5.101822\n    min     -18.148000\n    25%      -5.442000\n    50%      -2.207000\n    75%       1.434000\n    max      13.855000\n    \n\n\n![png](images/output_12_163.png)\n\n\n\n![png](images/output_12_164.png)\n\n\n    Ttest_relResult(statistic=array([ 17.32881745]), pvalue=array([  2.03380639e-65]))\n    \n\n\n![png](images/output_12_166.png)\n\n\n\n![png](images/output_12_167.png)\n\n\n    Ttest_1sampResult(statistic=array([-11.97221427]), pvalue=array([  1.34890663e-32]))\n    Ttest_indResult(statistic=array([ 16.69689485]), pvalue=array([  9.02571527e-62]))\n    ================Sensor Position P2================================\n           sensorValue\n    count  5120.000000\n    mean     -3.946470\n    std       4.495657\n    min     -22.085000\n    25%      -6.658000\n    50%      -3.754000\n    75%      -0.916000\n    max      10.305000\n           sensorValue\n    count  5120.000000\n    mean     -2.608454\n    std       9.697880\n    min     -38.045000\n    25%      -8.626000\n    50%      -2.452000\n    75%       3.499000\n    max      34.841000\n    \n\n\n![png](images/output_12_169.png)\n\n\n\n![png](images/output_12_170.png)\n\n\n    Ttest_relResult(statistic=array([-8.93391157]), pvalue=array([  5.63802840e-19]))\n    \n\n\n![png](images/output_12_172.png)\n\n\n\n![png](images/output_12_173.png)\n\n\n    Ttest_1sampResult(statistic=array([-62.81315992]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-8.95673372]), pvalue=array([  3.92552142e-19]))\n    ================Sensor Position FC1================================\n           sensorValue\n    count  5120.000000\n    mean     -0.111613\n    std       2.897663\n    min      -8.738000\n    25%      -1.943000\n    50%      -0.336000\n    75%       1.617000\n    max      18.504000\n           sensorValue\n    count  5120.000000\n    mean     -2.129459\n    std       4.597536\n    min     -19.348000\n    25%      -5.157000\n    50%      -2.452000\n    75%       0.427000\n    max      24.841000\n    \n\n\n![png](images/output_12_175.png)\n\n\n\n![png](images/output_12_176.png)\n\n\n    Ttest_relResult(statistic=array([ 27.09900592]), pvalue=array([  3.04692505e-151]))\n    \n\n\n![png](images/output_12_178.png)\n\n\n\n![png](images/output_12_179.png)\n\n\n    Ttest_1sampResult(statistic=array([-2.75614158]), pvalue=array([ 0.00586948]))\n    Ttest_indResult(statistic=array([ 26.56828563]), pvalue=array([  1.84466296e-150]))\n    ================Sensor Position FC2================================\n           sensorValue\n    count  5120.000000\n    mean      0.771806\n    std       2.617368\n    min      -7.609000\n    25%      -0.936000\n    50%       0.559000\n    75%       2.289000\n    max      13.519000\n           sensorValue\n    count  5120.000000\n    mean     -2.319238\n    std       4.751462\n    min     -13.692000\n    25%      -5.534000\n    50%      -2.747000\n    75%       0.193000\n    max      25.503000\n    \n\n\n![png](images/output_12_181.png)\n\n\n\n![png](images/output_12_182.png)\n\n\n    Ttest_relResult(statistic=array([ 41.56198813]), pvalue=array([ 0.]))\n    \n\n\n![png](images/output_12_184.png)\n\n\n\n![png](images/output_12_185.png)\n\n\n    Ttest_1sampResult(statistic=array([ 21.09979363]), pvalue=array([  7.86264368e-95]))\n    Ttest_indResult(statistic=array([ 40.77247922]), pvalue=array([ 0.]))\n    ================Sensor Position FC3================================\n           sensorValue\n    count  5120.000000\n    mean     -0.953352\n    std       3.408235\n    min     -13.123000\n    25%      -3.153000\n    50%      -1.129000\n    75%       1.241000\n    max      17.314000\n           sensorValue\n    count  5120.000000\n    mean     -3.567212\n    std       5.237147\n    min     -21.230000\n    25%      -6.989000\n    50%      -3.733000\n    75%      -0.102000\n    max      22.410000\n    \n\n\n![png](images/output_12_187.png)\n\n\n\n![png](images/output_12_188.png)\n\n\n    Ttest_relResult(statistic=array([ 30.17489405]), pvalue=array([  3.03551601e-184]))\n    \n\n\n![png](images/output_12_190.png)\n\n\n\n![png](images/output_12_191.png)\n\n\n    Ttest_1sampResult(statistic=array([-20.01514587]), pvalue=array([  7.26850159e-86]))\n    Ttest_indResult(statistic=array([ 29.93238836]), pvalue=array([  8.66116940e-189]))\n    ================Sensor Position FC4================================\n           sensorValue\n    count  5120.000000\n    mean     -0.261564\n    std       3.526229\n    min     -12.268000\n    25%      -2.533000\n    50%      -0.326000\n    75%       1.892000\n    max      17.324000\n           sensorValue\n    count  5120.000000\n    mean     -3.247929\n    std       6.407043\n    min     -23.783000\n    25%      -7.558000\n    50%      -3.347000\n    75%       0.743000\n    max      25.085000\n    \n\n\n![png](images/output_12_193.png)\n\n\n\n![png](images/output_12_194.png)\n\n\n    Ttest_relResult(statistic=array([ 30.19974581]), pvalue=array([  1.60455273e-184]))\n    \n\n\n![png](images/output_12_196.png)\n\n\n\n![png](images/output_12_197.png)\n\n\n    Ttest_1sampResult(statistic=array([-5.30765331]), pvalue=array([  1.15730447e-07]))\n    Ttest_indResult(statistic=array([ 29.21890427]), pvalue=array([  2.45547540e-180]))\n    ================Sensor Position FC5================================\n           sensorValue\n    count  5120.000000\n    mean     -1.822221\n    std       6.715590\n    min     -32.745000\n    25%      -6.165000\n    50%      -1.678000\n    75%       2.889000\n    max      23.265000\n           sensorValue\n    count  5120.000000\n    mean     -4.696025\n    std       6.325486\n    min     -22.909000\n    25%      -9.084000\n    50%      -4.812000\n    75%      -0.397000\n    max      20.386000\n    \n\n\n![png](images/output_12_199.png)\n\n\n\n![png](images/output_12_200.png)\n\n\n    Ttest_relResult(statistic=array([ 21.60260431]), pvalue=array([  4.02816725e-99]))\n    \n\n\n![png](images/output_12_202.png)\n\n\n\n![png](images/output_12_203.png)\n\n\n    Ttest_1sampResult(statistic=array([-19.41564492]), pvalue=array([  4.40982652e-81]))\n    Ttest_indResult(statistic=array([ 22.28946001]), pvalue=array([  1.64459877e-107]))\n    ================Sensor Position FC6================================\n           sensorValue\n    count  5120.000000\n    mean     -1.605738\n    std       4.174240\n    min     -13.753000\n    25%      -4.476000\n    50%      -1.577000\n    75%       1.119000\n    max      16.144000\n           sensorValue\n    count  5120.000000\n    mean     -5.043214\n    std       9.594328\n    min     -36.601000\n    25%     -11.627000\n    50%      -5.646000\n    75%       0.999500\n    max      47.709000\n    \n\n\n![png](images/output_12_205.png)\n\n\n\n![png](images/output_12_206.png)\n\n\n    Ttest_relResult(statistic=array([ 23.77554604]), pvalue=array([  1.30595566e-118]))\n    \n\n\n![png](images/output_12_208.png)\n\n\n\n![png](images/output_12_209.png)\n\n\n    Ttest_1sampResult(statistic=array([-27.5253227]), pvalue=array([  1.15981171e-155]))\n    Ttest_indResult(statistic=array([ 23.50803314]), pvalue=array([  4.63966880e-119]))\n    ================Sensor Position P5================================\n           sensorValue\n    count  5120.000000\n    mean     -6.073563\n    std       5.727058\n    min     -25.146000\n    25%      -9.878000\n    50%      -5.971000\n    75%      -2.126000\n    max      13.306000\n           sensorValue\n    count  5120.000000\n    mean     -4.854133\n    std       8.162037\n    min     -39.266000\n    25%      -9.745000\n    50%      -4.374000\n    75%       0.244000\n    max      21.535000\n    \n\n\n![png](images/output_12_211.png)\n\n\n\n![png](images/output_12_212.png)\n\n\n    Ttest_relResult(statistic=array([-9.01999145]), pvalue=array([  2.61054754e-19]))\n    \n\n\n![png](images/output_12_214.png)\n\n\n\n![png](images/output_12_215.png)\n\n\n    Ttest_1sampResult(statistic=array([-75.88343572]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-8.7510337]), pvalue=array([  2.44688629e-18]))\n    ================Sensor Position PO7================================\n           sensorValue\n    count  5120.000000\n    mean     -8.126003\n    std      15.294110\n    min     -91.380000\n    25%     -17.192000\n    50%      -6.734000\n    75%       2.757000\n    max      33.132000\n           sensorValue\n    count  5120.000000\n    mean     -7.779347\n    std      11.420848\n    min     -57.566000\n    25%     -14.964000\n    50%      -7.253000\n    75%      -0.295000\n    max      29.877000\n    \n\n\n![png](images/output_12_217.png)\n\n\n\n![png](images/output_12_218.png)\n\n\n    Ttest_relResult(statistic=array([-1.31836345]), pvalue=array([ 0.18744099]))\n    \n\n\n![png](images/output_12_220.png)\n\n\n\n![png](images/output_12_221.png)\n\n\n    Ttest_1sampResult(statistic=array([-38.01786438]), pvalue=array([  8.53861232e-279]))\n    Ttest_indResult(statistic=array([-1.29949999]), pvalue=array([ 0.19380166]))\n    ================Sensor Position P8================================\n           sensorValue\n    count  5120.000000\n    mean     -8.775231\n    std       6.824427\n    min     -33.956000\n    25%     -13.418000\n    50%      -9.023000\n    75%      -3.855000\n    max      12.756000\n           sensorValue\n    count  5120.000000\n    mean     -8.378799\n    std       8.956751\n    min     -46.570000\n    25%     -13.499000\n    50%      -7.996000\n    75%      -2.441000\n    max      22.868000\n    \n\n\n![png](images/output_12_223.png)\n\n\n\n![png](images/output_12_224.png)\n\n\n    Ttest_relResult(statistic=array([-2.58815503]), pvalue=array([ 0.00967643]))\n    \n\n\n![png](images/output_12_226.png)\n\n\n\n![png](images/output_12_227.png)\n\n\n    Ttest_1sampResult(statistic=array([-92.0083773]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-2.51913017]), pvalue=array([ 0.01177962]))\n    ================Sensor Position PO2================================\n           sensorValue\n    count  5120.000000\n    mean     -6.031896\n    std       5.903425\n    min     -30.080000\n    25%      -9.532000\n    50%      -5.656000\n    75%      -2.218000\n    max      13.407000\n           sensorValue\n    count  5120.000000\n    mean     -5.738040\n    std       8.939684\n    min     -48.228000\n    25%     -10.793000\n    50%      -5.381000\n    75%      -0.028250\n    max      24.963000\n    \n\n\n![png](images/output_12_229.png)\n\n\n\n![png](images/output_12_230.png)\n\n\n    Ttest_relResult(statistic=array([-1.98999738]), pvalue=array([ 0.04664433]))\n    \n\n\n![png](images/output_12_232.png)\n\n\n\n![png](images/output_12_233.png)\n\n\n    Ttest_1sampResult(statistic=array([-73.11134331]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-1.96271686]), pvalue=array([ 0.04970612]))\n    ================Sensor Position TP8================================\n           sensorValue\n    count  5120.000000\n    mean     -6.776617\n    std       6.578470\n    min     -35.055000\n    25%     -11.271000\n    50%      -6.816000\n    75%      -2.279000\n    max      14.435000\n           sensorValue\n    count  5120.000000\n    mean     -7.832461\n    std       8.432154\n    min     -39.836000\n    25%     -13.204000\n    50%      -7.629000\n    75%      -1.973000\n    max      21.434000\n    \n\n\n![png](images/output_12_235.png)\n\n\n\n![png](images/output_12_236.png)\n\n\n    Ttest_relResult(statistic=array([ 7.28680314]), pvalue=array([  3.65773123e-13]))\n    \n\n\n![png](images/output_12_238.png)\n\n\n\n![png](images/output_12_239.png)\n\n\n    Ttest_1sampResult(statistic=array([-73.70942396]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 7.06421978]), pvalue=array([  1.72028302e-12]))\n    ================Sensor Position PO1================================\n           sensorValue\n    count  5120.000000\n    mean     -5.803141\n    std       5.811259\n    min     -27.751000\n    25%      -9.237000\n    50%      -5.646000\n    75%      -1.862000\n    max      16.693000\n           sensorValue\n    count  5120.000000\n    mean     -4.352316\n    std       9.359872\n    min     -41.707000\n    25%      -9.669000\n    50%      -3.896000\n    75%       1.322250\n    max      28.259000\n    \n\n\n![png](images/output_12_241.png)\n\n\n\n![png](images/output_12_242.png)\n\n\n    Ttest_relResult(statistic=array([-9.28365966]), pvalue=array([  2.36376336e-20]))\n    \n\n\n![png](images/output_12_244.png)\n\n\n\n![png](images/output_12_245.png)\n\n\n    Ttest_1sampResult(statistic=array([-71.45422252]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-9.42280625]), pvalue=array([  5.34124148e-21]))\n    ================Sensor Position CZ================================\n           sensorValue\n    count  5120.000000\n    mean    -14.693239\n    std      17.998470\n    min     -92.539000\n    25%     -23.844000\n    50%     -11.851000\n    75%      -1.648000\n    max      29.205000\n           sensorValue\n    count  5120.000000\n    mean    -13.774299\n    std      16.752331\n    min     -94.655000\n    25%     -23.214000\n    50%     -11.754000\n    75%      -2.093250\n    max      27.079000\n    \n\n\n![png](images/output_12_247.png)\n\n\n\n![png](images/output_12_248.png)\n\n\n    Ttest_relResult(statistic=array([-2.72814965]), pvalue=array([ 0.00639081]))\n    \n\n\n![png](images/output_12_250.png)\n\n\n\n![png](images/output_12_251.png)\n\n\n    Ttest_1sampResult(statistic=array([-58.41399956]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-2.67419632]), pvalue=array([ 0.00750275]))\n    ================Sensor Position T7================================\n           sensorValue\n    count  5120.000000\n    mean     -5.613713\n    std       6.470998\n    min     -26.652000\n    25%     -10.101000\n    50%      -5.885000\n    75%      -1.302000\n    max      24.689000\n           sensorValue\n    count  5120.000000\n    mean     -6.525963\n    std       7.419699\n    min     -32.318000\n    25%     -11.566000\n    50%      -6.460000\n    75%      -1.597000\n    max      20.376000\n    \n\n\n![png](images/output_12_253.png)\n\n\n\n![png](images/output_12_254.png)\n\n\n    Ttest_relResult(statistic=array([ 6.92191912]), pvalue=array([  5.00386321e-12]))\n    \n\n\n![png](images/output_12_256.png)\n\n\n\n![png](images/output_12_257.png)\n\n\n    Ttest_1sampResult(statistic=array([-62.07460669]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 6.63023639]), pvalue=array([  3.52043018e-11]))\n    ================Sensor Position AFZ================================\n           sensorValue\n    count  5120.000000\n    mean      1.692669\n    std       8.773601\n    min     -14.760000\n    25%      -3.652000\n    50%       0.041000\n    75%       4.598000\n    max      62.042000\n           sensorValue\n    count  5120.000000\n    mean     -4.480257\n    std      13.735871\n    min     -27.232000\n    25%     -11.973000\n    50%      -6.755000\n    75%      -0.916000\n    max      96.914000\n    \n\n\n![png](images/output_12_259.png)\n\n\n\n![png](images/output_12_260.png)\n\n\n    Ttest_relResult(statistic=array([ 26.26872864]), pvalue=array([  8.75702414e-143]))\n    \n\n\n![png](images/output_12_262.png)\n\n\n\n![png](images/output_12_263.png)\n\n\n    Ttest_1sampResult(statistic=array([ 13.80476644]), pvalue=array([  1.37144599e-42]))\n    Ttest_indResult(statistic=array([ 27.1001016]), pvalue=array([  2.93390135e-156]))\n    ================Sensor Position PO8================================\n           sensorValue\n    count  5120.000000\n    mean     -8.418078\n    std      10.160450\n    min     -91.858000\n    25%     -14.333000\n    50%      -8.087000\n    75%      -1.536000\n    max      31.555000\n           sensorValue\n    count  5120.000000\n    mean     -9.081013\n    std      10.781162\n    min     -62.215000\n    25%     -15.554000\n    50%      -8.484000\n    75%      -1.811000\n    max      23.285000\n    \n\n\n![png](images/output_12_265.png)\n\n\n\n![png](images/output_12_266.png)\n\n\n    Ttest_relResult(statistic=array([ 3.23518243]), pvalue=array([ 0.00122338]))\n    \n\n\n![png](images/output_12_268.png)\n\n\n\n![png](images/output_12_269.png)\n\n\n    Ttest_1sampResult(statistic=array([-59.28365359]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 3.20199093]), pvalue=array([ 0.00136899]))\n    ================Sensor Position X================================\n           sensorValue\n    count  5120.000000\n    mean      1.536599\n    std      26.930948\n    min     -42.053000\n    25%     -12.787000\n    50%      -4.084500\n    75%       4.232000\n    max     183.777000\n           sensorValue\n    count  5120.000000\n    mean      0.646338\n    std      36.915941\n    min     -44.657000\n    25%     -15.127000\n    50%      -7.105500\n    75%       3.784000\n    max     278.687000\n    \n\n\n![png](images/output_12_271.png)\n\n\n\n![png](images/output_12_272.png)\n\n\n    Ttest_relResult(statistic=array([ 1.37218529]), pvalue=array([ 0.17006589]))\n    \n\n\n![png](images/output_12_274.png)\n\n\n\n![png](images/output_12_275.png)\n\n\n    Ttest_1sampResult(statistic=array([ 4.08266633]), pvalue=array([  4.52007477e-05]))\n    Ttest_indResult(statistic=array([ 1.39405762]), pvalue=array([ 0.16333046]))\n    ================Sensor Position FPZ================================\n           sensorValue\n    count  5120.000000\n    mean      1.270996\n    std      15.886915\n    min     -26.998000\n    25%      -7.548000\n    50%      -1.668000\n    75%       4.517000\n    max     114.288000\n           sensorValue\n    count  5120.000000\n    mean     -2.719194\n    std      22.095409\n    min     -35.207000\n    25%     -13.112000\n    50%      -7.172000\n    75%       0.275000\n    max     161.021000\n    \n\n\n![png](images/output_12_277.png)\n\n\n\n![png](images/output_12_278.png)\n\n\n    Ttest_relResult(statistic=array([ 10.19095024]), pvalue=array([  3.69636651e-24]))\n    \n\n\n![png](images/output_12_280.png)\n\n\n\n![png](images/output_12_281.png)\n\n\n    Ttest_1sampResult(statistic=array([ 5.72452719]), pvalue=array([  1.09627799e-08]))\n    Ttest_indResult(statistic=array([ 10.49147012]), pvalue=array([  1.27504713e-25]))\n    ================Sensor Position F1================================\n           sensorValue\n    count  5120.000000\n    mean      0.563787\n    std       5.554081\n    min     -13.814000\n    25%      -3.072000\n    50%      -0.112000\n    75%       3.306000\n    max      37.109000\n           sensorValue\n    count  5120.000000\n    mean     -3.678203\n    std       8.620107\n    min     -28.320000\n    25%      -9.003000\n    50%      -4.628000\n    75%       0.132000\n    max      54.087000\n    \n\n\n![png](images/output_12_283.png)\n\n\n\n![png](images/output_12_284.png)\n\n\n    Ttest_relResult(statistic=array([ 29.1717667]), pvalue=array([  3.34483756e-173]))\n    \n\n\n![png](images/output_12_286.png)\n\n\n\n![png](images/output_12_287.png)\n\n\n    Ttest_1sampResult(statistic=array([ 7.26335826]), pvalue=array([  4.34375450e-13]))\n    Ttest_indResult(statistic=array([ 29.5999846]), pvalue=array([  7.88567888e-185]))\n    ================Sensor Position F2================================\n           sensorValue\n    count  5120.000000\n    mean      1.249284\n    std       5.421551\n    min     -12.227000\n    25%      -2.228000\n    50%       0.529000\n    75%       3.672000\n    max      34.047000\n           sensorValue\n    count  5120.000000\n    mean     -3.686844\n    std       9.044833\n    min     -22.563000\n    25%      -9.349000\n    50%      -5.015000\n    75%      -0.381500\n    max      58.400000\n    \n\n\n![png](images/output_12_289.png)\n\n\n\n![png](images/output_12_290.png)\n\n\n    Ttest_relResult(statistic=array([ 32.71873294]), pvalue=array([  2.19830145e-213]))\n    \n\n\n![png](images/output_12_292.png)\n\n\n\n![png](images/output_12_293.png)\n\n\n    Ttest_1sampResult(statistic=array([ 16.48817727]), pvalue=array([  1.49607624e-59]))\n    Ttest_indResult(statistic=array([ 33.49381656]), pvalue=array([  1.74120206e-233]))\n    ================Sensor Position F3================================\n           sensorValue\n    count  5120.000000\n    mean     -0.196997\n    std       5.792732\n    min     -19.480000\n    25%      -4.059000\n    50%      -0.783000\n    75%       2.833250\n    max      37.272000\n           sensorValue\n    count  5120.000000\n    mean     -3.759540\n    std       9.132861\n    min     -34.200000\n    25%      -9.389000\n    50%      -4.425000\n    75%       0.661000\n    max      52.094000\n    \n\n\n![png](images/output_12_295.png)\n\n\n\n![png](images/output_12_296.png)\n\n\n    Ttest_relResult(statistic=array([ 23.3523825]), pvalue=array([  1.07070598e-114]))\n    \n\n\n![png](images/output_12_298.png)\n\n\n\n![png](images/output_12_299.png)\n\n\n    Ttest_1sampResult(statistic=array([-2.43338527]), pvalue=array([ 0.01499237]))\n    Ttest_indResult(statistic=array([ 23.57042428]), pvalue=array([  1.14901219e-119]))\n    ================Sensor Position F4================================\n           sensorValue\n    count  5120.000000\n    mean      0.533174\n    std       5.855134\n    min     -16.205000\n    25%      -3.204000\n    50%       0.173000\n    75%       3.560000\n    max      33.478000\n           sensorValue\n    count  5120.000000\n    mean     -3.697843\n    std       9.317387\n    min     -21.729000\n    25%      -9.430000\n    50%      -5.025000\n    75%      -0.407000\n    max      60.038000\n    \n\n\n![png](images/output_12_301.png)\n\n\n\n![png](images/output_12_302.png)\n\n\n    Ttest_relResult(statistic=array([ 26.81820072]), pvalue=array([  2.32663795e-148]))\n    \n\n\n![png](images/output_12_304.png)\n\n\n\n![png](images/output_12_305.png)\n\n\n    Ttest_1sampResult(statistic=array([ 6.51579057]), pvalue=array([  7.92466841e-11]))\n    Ttest_indResult(statistic=array([ 27.51150257]), pvalue=array([  8.20084640e-161]))\n    ================Sensor Position F5================================\n           sensorValue\n    count  5120.000000\n    mean     -1.414105\n    std       6.629200\n    min     -27.507000\n    25%      -5.686000\n    50%      -1.770000\n    75%       2.258000\n    max      35.950000\n           sensorValue\n    count  5120.000000\n    mean     -5.003804\n    std       9.375028\n    min     -29.165000\n    25%     -10.905000\n    50%      -6.175000\n    75%      -0.061000\n    max      57.343000\n    \n\n\n![png](images/output_12_307.png)\n\n\n\n![png](images/output_12_308.png)\n\n\n    Ttest_relResult(statistic=array([ 21.56193017]), pvalue=array([  9.02190563e-99]))\n    \n\n\n![png](images/output_12_310.png)\n\n\n\n![png](images/output_12_311.png)\n\n\n    Ttest_1sampResult(statistic=array([-15.26354605]), pvalue=array([  1.79255030e-51]))\n    Ttest_indResult(statistic=array([ 22.37039694]), pvalue=array([  2.92489521e-108]))\n    ================Sensor Position F6================================\n           sensorValue\n    count  5120.000000\n    mean     -0.642327\n    std       6.971346\n    min     -21.688000\n    25%      -5.086000\n    50%      -1.017000\n    75%       3.276000\n    max      35.441000\n           sensorValue\n    count  5120.000000\n    mean     -4.813964\n    std      11.384516\n    min     -35.787000\n    25%     -11.505000\n    50%      -6.368000\n    75%      -0.651000\n    max      72.469000\n    \n\n\n![png](images/output_12_313.png)\n\n\n\n![png](images/output_12_314.png)\n\n\n    Ttest_relResult(statistic=array([ 22.04695836]), pvalue=array([  5.54456465e-103]))\n    \n\n\n![png](images/output_12_316.png)\n\n\n\n![png](images/output_12_317.png)\n\n\n    Ttest_1sampResult(statistic=array([-6.59287334]), pvalue=array([  4.74831112e-11]))\n    Ttest_indResult(statistic=array([ 22.36038464]), pvalue=array([  3.62256190e-108]))\n    ================Sensor Position F7================================\n           sensorValue\n    count  5120.000000\n    mean     -2.663302\n    std       8.239311\n    min     -29.165000\n    25%      -8.108000\n    50%      -3.103000\n    75%       2.092750\n    max      42.745000\n           sensorValue\n    count  5120.000000\n    mean     -6.310687\n    std      11.452345\n    min     -39.419000\n    25%     -13.814000\n    50%      -7.324000\n    75%      -0.233750\n    max      62.805000\n    \n\n\n![png](images/output_12_319.png)\n\n\n\n![png](images/output_12_320.png)\n\n\n    Ttest_relResult(statistic=array([ 18.01372265]), pvalue=array([  2.18038919e-70]))\n    \n\n\n![png](images/output_12_322.png)\n\n\n\n![png](images/output_12_323.png)\n\n\n    Ttest_1sampResult(statistic=array([-23.1294039]), pvalue=array([  1.17278917e-112]))\n    Ttest_indResult(statistic=array([ 18.49880787]), pvalue=array([  3.51961479e-75]))\n    ================Sensor Position F8================================\n           sensorValue\n    count  5120.000000\n    mean     -2.119312\n    std      10.990393\n    min     -40.181000\n    25%      -9.623000\n    50%      -2.319000\n    75%       4.641500\n    max      50.415000\n           sensorValue\n    count  5120.000000\n    mean     -5.514238\n    std      13.315634\n    min     -45.013000\n    25%     -13.265000\n    50%      -6.978000\n    75%      -0.203000\n    max      79.844000\n    \n\n\n![png](images/output_12_325.png)\n\n\n\n![png](images/output_12_326.png)\n\n\n    Ttest_relResult(statistic=array([ 13.95806707]), pvalue=array([  1.74558684e-43]))\n    \n\n\n![png](images/output_12_328.png)\n\n\n\n![png](images/output_12_329.png)\n\n\n    Ttest_1sampResult(statistic=array([-13.79801464]), pvalue=array([  1.50106311e-42]))\n    Ttest_indResult(statistic=array([ 14.06980422]), pvalue=array([  1.51218174e-44]))\n    ================Sensor Position AF1================================\n           sensorValue\n    count  5120.000000\n    mean      1.137925\n    std       9.715142\n    min     -18.972000\n    25%      -4.873000\n    50%      -0.102000\n    75%       4.415000\n    max      68.258000\n           sensorValue\n    count  5120.000000\n    mean     -3.926596\n    std      13.510127\n    min     -29.775000\n    25%     -11.241000\n    50%      -6.327000\n    75%      -0.142000\n    max      94.198000\n    \n\n\n![png](images/output_12_331.png)\n\n\n\n![png](images/output_12_332.png)\n\n\n    Ttest_relResult(statistic=array([ 20.74809447]), pvalue=array([  7.02080932e-92]))\n    \n\n\n![png](images/output_12_334.png)\n\n\n\n![png](images/output_12_335.png)\n\n\n    Ttest_1sampResult(statistic=array([ 8.3810687]), pvalue=array([  6.70473608e-17]))\n    Ttest_indResult(statistic=array([ 21.77739711]), pvalue=array([  8.01175210e-103]))\n    ================Sensor Position AF2================================\n           sensorValue\n    count  5120.000000\n    mean      1.033722\n    std       8.990897\n    min     -20.711000\n    25%      -4.405000\n    50%      -0.102000\n    75%       4.415000\n    max      58.614000\n           sensorValue\n    count  5120.000000\n    mean     -3.481163\n    std      14.602244\n    min     -27.049000\n    25%     -11.322000\n    50%      -6.205000\n    75%      -0.129500\n    max     101.410000\n    \n\n\n![png](images/output_12_337.png)\n\n\n\n![png](images/output_12_338.png)\n\n\n    Ttest_relResult(statistic=array([ 18.22883975]), pvalue=array([  5.53112654e-72]))\n    \n\n\n![png](images/output_12_340.png)\n\n\n\n![png](images/output_12_341.png)\n\n\n    Ttest_1sampResult(statistic=array([ 8.22689458]), pvalue=array([  2.41400460e-16]))\n    Ttest_indResult(statistic=array([ 18.83920117]), pvalue=array([  7.41127719e-78]))\n    ================Sensor Position T8================================\n           sensorValue\n    count  5120.000000\n    mean     -4.799931\n    std       8.591398\n    min     -30.752000\n    25%     -10.579000\n    50%      -4.974000\n    75%       0.658750\n    max      29.205000\n           sensorValue\n    count  5120.000000\n    mean     -7.066661\n    std       8.892190\n    min     -38.127000\n    25%     -13.051000\n    50%      -7.080000\n    75%      -0.966000\n    max      22.705000\n    \n\n\n![png](images/output_12_343.png)\n\n\n\n![png](images/output_12_344.png)\n\n\n    Ttest_relResult(statistic=array([ 13.22538309]), pvalue=array([  2.74441321e-39]))\n    \n\n\n![png](images/output_12_346.png)\n\n\n\n![png](images/output_12_347.png)\n\n\n    Ttest_1sampResult(statistic=array([-39.97662866]), pvalue=array([  2.19393615e-304]))\n    Ttest_indResult(statistic=array([ 13.11761587]), pvalue=array([  5.38027289e-39]))\n    ================Sensor Position CP1================================\n           sensorValue\n    count  5120.000000\n    mean     -1.830062\n    std       2.424460\n    min     -13.000000\n    25%      -3.235000\n    50%      -1.628000\n    75%      -0.275000\n    max       5.809000\n           sensorValue\n    count  5120.000000\n    mean     -0.432715\n    std       4.417852\n    min     -19.643000\n    25%      -3.352000\n    50%      -0.213500\n    75%       2.513000\n    max      12.115000\n    \n\n\n![png](images/output_12_349.png)\n\n\n\n![png](images/output_12_350.png)\n\n\n    Ttest_relResult(statistic=array([-20.72594542]), pvalue=array([  1.07356518e-91]))\n    \n\n\n![png](images/output_12_352.png)\n\n\n\n![png](images/output_12_353.png)\n\n\n    Ttest_1sampResult(statistic=array([-54.01143429]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-19.84090347]), pvalue=array([  5.38842621e-86]))\n    ================Sensor Position CP2================================\n           sensorValue\n    count  5120.000000\n    mean     -1.065968\n    std       2.519429\n    min     -12.197000\n    25%      -2.604000\n    50%      -1.017000\n    75%       0.661000\n    max       6.521000\n           sensorValue\n    count  5120.000000\n    mean     -0.765573\n    std       3.928988\n    min     -19.073000\n    25%      -3.347000\n    50%      -0.712000\n    75%       1.923000\n    max      10.569000\n    \n\n\n![png](images/output_12_355.png)\n\n\n\n![png](images/output_12_356.png)\n\n\n    Ttest_relResult(statistic=array([-4.64165371]), pvalue=array([  3.54264860e-06]))\n    \n\n\n![png](images/output_12_358.png)\n\n\n\n![png](images/output_12_359.png)\n\n\n    Ttest_1sampResult(statistic=array([-30.27449994]), pvalue=array([  2.35260192e-185]))\n    Ttest_indResult(statistic=array([-4.60526529]), pvalue=array([  4.16907394e-06]))\n    ================Sensor Position CP3================================\n           sensorValue\n    count  5120.000000\n    mean     -2.893849\n    std       3.454068\n    min     -15.076000\n    25%      -5.198000\n    50%      -2.869000\n    75%      -0.539000\n    max       9.277000\n           sensorValue\n    count  5120.000000\n    mean     -2.200065\n    std       4.998566\n    min     -23.539000\n    25%      -5.168000\n    50%      -1.872000\n    75%       1.119000\n    max      12.166000\n    \n\n\n![png](images/output_12_361.png)\n\n\n\n![png](images/output_12_362.png)\n\n\n    Ttest_relResult(statistic=array([-8.45394553]), pvalue=array([  3.63074240e-17]))\n    \n\n\n![png](images/output_12_364.png)\n\n\n\n![png](images/output_12_365.png)\n\n\n    Ttest_1sampResult(statistic=array([-59.94872545]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-8.1705321]), pvalue=array([  3.43275833e-16]))\n    ================Sensor Position CP4================================\n           sensorValue\n    count  5120.000000\n    mean     -2.760496\n    std       3.363847\n    min     -19.226000\n    25%      -4.852000\n    50%      -2.594000\n    75%      -0.509000\n    max       9.583000\n           sensorValue\n    count  5120.000000\n    mean     -2.658815\n    std       5.482587\n    min     -24.821000\n    25%      -6.154000\n    50%      -2.502000\n    75%       1.292000\n    max      17.985000\n    \n\n\n![png](images/output_12_367.png)\n\n\n\n![png](images/output_12_368.png)\n\n\n    Ttest_relResult(statistic=array([-1.14662982]), pvalue=array([ 0.25158824]))\n    \n\n\n![png](images/output_12_370.png)\n\n\n\n![png](images/output_12_371.png)\n\n\n    Ttest_1sampResult(statistic=array([-58.71997775]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-1.13111932]), pvalue=array([ 0.25803137]))\n    ================Sensor Position CP5================================\n           sensorValue\n    count  5120.000000\n    mean     -5.137028\n    std       7.699371\n    min     -42.226000\n    25%      -9.949000\n    50%      -5.117000\n    75%      -0.427000\n    max      28.982000\n           sensorValue\n    count  5120.000000\n    mean     -4.284662\n    std       6.379943\n    min     -28.910000\n    25%      -8.138000\n    50%      -4.120000\n    75%      -0.117000\n    max      16.856000\n    \n\n\n![png](images/output_12_373.png)\n\n\n\n![png](images/output_12_374.png)\n\n\n    Ttest_relResult(statistic=array([-6.3542085]), pvalue=array([  2.27653152e-10]))\n    \n\n\n![png](images/output_12_376.png)\n\n\n\n![png](images/output_12_377.png)\n\n\n    Ttest_1sampResult(statistic=array([-47.74101749]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([-6.09952302]), pvalue=array([  1.10231205e-09]))\n    ================Sensor Position CP6================================\n           sensorValue\n    count  5120.000000\n    mean     -4.167717\n    std       5.749508\n    min     -23.356000\n    25%      -7.996000\n    50%      -4.283000\n    75%      -0.407000\n    max      21.566000\n           sensorValue\n    count  5120.000000\n    mean     -5.151178\n    std       6.629391\n    min     -33.020000\n    25%      -9.572000\n    50%      -5.015000\n    75%      -0.458000\n    max      21.240000\n    \n\n\n![png](images/output_12_379.png)\n\n\n\n![png](images/output_12_380.png)\n\n\n    Ttest_relResult(statistic=array([ 8.17098543]), pvalue=array([  3.82012304e-16]))\n    \n\n\n![png](images/output_12_382.png)\n\n\n\n![png](images/output_12_383.png)\n\n\n    Ttest_1sampResult(statistic=array([-51.86836428]), pvalue=array([ 0.]))\n    Ttest_indResult(statistic=array([ 8.01919113]), pvalue=array([  1.18071194e-15]))\n    \n\n\u003cp\u003eHere we can that for sensor position P3,FZ,Y,PZ,FCZ,C6 we have some significant difference between the two groups and their their distriutions\nWe have almost the graph of both group for all sensor positions to have a look and understand  the differences between the two and also the describtion of both groups have been printed\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgriffintaur%2Fvisualizations","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgriffintaur%2Fvisualizations","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgriffintaur%2Fvisualizations/lists"}