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b/WESAD/WESAD_Analysis.ipynb |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"metadata": {}, |
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"source": [ |
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"# WESAD Dataset Analysis" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import numpy as np\n", |
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"import matplotlib as mpl\n", |
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"import matplotlib.pyplot as plt\n", |
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"import seaborn as sns\n", |
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"import pandas as pd" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"df = pd.read_csv(\"../../WESAD/allchest.csv\")" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"df = df[df['ID'] == 2]" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"df.reset_index(inplace=True, drop=True)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"df['label'].unique()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"sns.set_context(\"paper\", rc={\"lines.linewidth\": 2.5})\n", |
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"sns.set_palette(\"binary_d\")" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Neutral\n", |
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"sns.lineplot(data=df[df['label'] == 1].reset_index(drop=True)['chestResp'])\n", |
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"plt.ylabel('RESP')\n", |
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"plt.xlabel('Sequential Data-Points')\n", |
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"plt.show()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": { |
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"scrolled": false |
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}, |
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"outputs": [], |
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"source": [ |
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"# Stress\n", |
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"sns.lineplot(data=df[df['label'] == 2].reset_index(drop=True)['chestResp'])\n", |
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"plt.ylabel('RESP')\n", |
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"plt.xlabel('Sequential Data-Points')\n", |
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"plt.show()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Neutral\n", |
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"sns.lineplot(data=df[df['label'] == 1].reset_index(drop=True).iloc[400000:420000]['chestResp'])\n", |
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"plt.ylabel('RESP')\n", |
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"plt.xlabel('Sequential Data-Points')\n", |
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"plt.show()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Stress\n", |
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"sns.lineplot(data=df[df['label'] == 2].reset_index(drop=True).iloc[50000:70000]['chestResp'])\n", |
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"plt.ylabel('RESP')\n", |
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"plt.xlabel('Sequential Data-Points')\n", |
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"plt.show()" |
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] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.7.3" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 2 |
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} |