diff --git a/code/notebooks/03_feature_extraction.ipynb b/code/notebooks/03_feature_extraction.ipynb index 9f54286..16dd5b2 100644 --- a/code/notebooks/03_feature_extraction.ipynb +++ b/code/notebooks/03_feature_extraction.ipynb @@ -25,7 +25,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -154,7 +154,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -293,18 +293,50 @@ "### Print Time-domain Features (Multiple CSV Mockup Data)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Importing modules" + ] + }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import sys\n", "import os\n", + "import re\n", "# Assuming the src directory is one level up from the notebooks directory\n", "sys.path.append('../src/features')\n", "from time_domain_features import ExtractTimeFeatures # use wrapper function instead of class for easy use\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The function" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function to extract numbers from a filename that later used as labels features\n", + "def extract_numbers(filename):\n", + " # Find all occurrences of one or more digits in the filename\n", + " numbers = re.findall(r'\\d+', filename)\n", + " # Convert the list of number strings to integers\n", + " numbers = [int(num) for num in numbers]\n", + " # Convert to a tuple and return\n", + " return numbers\n", "\n", "def build_features(input_dir):\n", " all_features = []\n", @@ -316,53 +348,1145 @@ " nth_test_path = os.path.join(nth_damage_path, nth_test)\n", " # print(nth_test_path)\n", " features = ExtractTimeFeatures(nth_test_path) # return the one csv file feature in dictionary {}\n", + " features['label'] = extract_numbers(nth_test)[0] # add labels to the dictionary\n", " all_features.append(features)\n", "\n", " # Create a DataFrame from the list of dictionaries\n", " df = pd.DataFrame(all_features)\n", - " return df\n", - "\n", - "data_dir = \"../../data/raw\"\n", - "# Extract features\n", - "df = build_features(data_dir)\n", - "\n" + " return df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Execute the automation" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data_dir = \"../../data/raw\"\n", + "# Extract features\n", + "df = build_features(data_dir)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 50 entries, 0 to 49\n", - "Data columns (total 14 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Mean 50 non-null float64\n", - " 1 Max 50 non-null float64\n", - " 2 Peak (Pm) 50 non-null float64\n", - " 3 Peak-to-Peak (Pk) 50 non-null float64\n", - " 4 RMS 50 non-null float64\n", - " 5 Variance 50 non-null float64\n", - " 6 Standard Deviation 50 non-null float64\n", - " 7 Power 50 non-null float64\n", - " 8 Crest Factor 50 non-null float64\n", - " 9 Form Factor 50 non-null float64\n", - " 10 Pulse Indicator 50 non-null float64\n", - " 11 Margin 50 non-null float64\n", - " 12 Kurtosis 50 non-null float64\n", - " 13 Skewness 50 non-null float64\n", - "dtypes: float64(14)\n", - "memory usage: 5.6 KB\n" - ] + "data": { + "text/html": [ + "
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350.4100121.8609931.8609932.4121730.7988440.4700410.7226810.6381512.3296091.9483424.5388752.5775972.6198450.6854354
360.1231820.8797070.9635511.8432580.6720720.4365070.6964250.4516811.4337025.4559157.8221561.3761201.840085-0.4583794
370.3751842.0261942.0261943.0304741.0993771.0678681.0892751.2086311.8430382.9302365.4005362.1390081.5051340.2039974
380.2725101.6268061.6268062.6235280.8329260.6195050.8296620.6937661.9531213.0565015.9697152.1764502.0375040.1052654
390.0894692.8058722.8058724.1963991.2659741.5946841.3311171.6026892.21637514.14981231.3612903.0319312.7520881.1176614
400.4055641.8904271.8993813.7898081.1311631.1150471.1130771.2795291.6791402.7891104.6833072.0157942.869595-0.8875725
41-0.3822011.4098141.6897413.0995551.0341710.9234311.0129341.0695091.633909-2.705827-4.4210761.8217722.1598020.6969555
420.6862072.4407202.4407203.0622731.1868930.9378351.0208031.4087152.0563951.7296443.5568292.6611411.9328170.2715855
43-0.2734041.6627261.9234713.5861971.0965001.1275641.1193071.2023131.754191-4.010556-7.0352812.1490532.3254380.5767475
440.1307801.5526781.5526782.8843521.0816231.1528061.1317671.1699091.4355068.27058211.8724731.5686471.424831-0.2309165
450.1732591.9192441.9192442.9746370.9466620.8661500.9810140.8961692.0273815.46385311.0773132.3666351.9426540.4847495
46-0.0885531.5630991.5630993.0854600.9307920.8585320.9766910.8663741.679321-10.511085-17.6514851.8051391.9455040.2671655
470.1051411.5146441.5146442.4067520.6997700.4786230.7292490.4896782.1644896.65551514.4057872.3785822.6134860.5174885
480.2694791.7265071.7265072.6904860.8654550.6763930.8669180.7490121.9949133.2115826.4068272.4636472.3939380.6244685
490.0690121.1231531.1231532.0434540.5365810.2831570.5609090.2879192.0931647.77518316.2747331.8963522.8803360.2087635
\n", + "
" + ], + "text/plain": [ + " Mean Max Peak (Pm) Peak-to-Peak (Pk) RMS Variance \\\n", + "0 -0.179611 1.397586 2.100568 3.498154 1.014916 0.997795 \n", + "1 -0.252972 1.190946 1.365320 2.556266 0.797160 0.571470 \n", + "2 0.082731 2.025532 2.114413 4.139945 1.137345 1.286709 \n", + "3 0.229025 1.369192 1.369192 2.433417 0.873569 0.710670 \n", + "4 0.563738 1.700555 1.700555 2.171556 0.888985 0.472494 \n", + "5 0.241972 2.160772 2.420774 4.581546 1.166533 1.302249 \n", + "6 -0.457981 1.734305 2.350419 4.084725 1.172031 1.163910 \n", + "7 0.215078 0.896437 0.896437 1.469767 0.571965 0.280886 \n", + "8 -0.239766 2.871613 2.871613 4.679464 1.228949 1.452829 \n", + "9 -0.803142 0.470248 2.826202 3.296450 1.313970 1.081479 \n", + "10 -0.077538 1.097114 1.097114 2.101327 0.739722 0.541177 \n", + "11 -0.096567 1.438530 1.737605 3.176134 0.981060 0.953153 \n", + "12 -0.133844 0.890724 1.226863 2.117587 0.558974 0.294538 \n", + "13 -0.409095 1.385217 2.209556 3.594773 1.191499 1.252310 \n", + "14 0.093017 1.143571 1.305958 2.449528 0.768956 0.582641 \n", + "15 0.006811 1.481453 2.196841 3.678293 0.966842 0.934737 \n", + "16 0.461118 1.397349 1.397349 2.395587 0.846020 0.503119 \n", + "17 -0.491342 2.337485 2.337485 4.086374 1.241553 1.300038 \n", + "18 0.330859 1.466641 1.466641 2.082146 0.766005 0.477296 \n", + "19 0.194496 1.707591 1.707591 3.018449 0.933345 0.833304 \n", + "20 -0.072633 1.824907 1.824907 3.170507 1.076143 1.152809 \n", + "21 0.185105 1.293976 1.293976 2.550155 0.846136 0.681682 \n", + "22 -0.353429 1.440146 1.707491 3.147636 1.043411 0.963794 \n", + "23 0.411200 1.713564 1.713564 2.571010 0.820975 0.504914 \n", + "24 0.426956 1.430148 1.430148 2.104040 0.657249 0.249685 \n", + "25 0.070670 1.608378 2.633574 4.241952 1.154883 1.328761 \n", + "26 0.309727 1.816516 1.816516 3.234134 1.196945 1.336747 \n", + "27 -0.156286 1.214420 1.725395 2.939815 0.974539 0.925302 \n", + "28 0.245548 1.843489 1.843489 2.970403 0.995723 0.931171 \n", + "29 -0.163872 1.717014 1.717014 3.251762 0.945954 0.867976 \n", + "30 0.290341 2.805732 2.805732 4.568940 1.090652 1.105224 \n", + "31 0.368252 2.171867 2.171867 2.975510 1.005940 0.876305 \n", + "32 -0.126842 1.426012 2.027936 3.453949 1.158883 1.326920 \n", + "33 0.182933 1.886090 1.886090 2.946085 1.174639 1.346313 \n", + "34 0.028416 0.804074 2.324715 3.128789 0.826622 0.682497 \n", + "35 0.410012 1.860993 1.860993 2.412173 0.798844 0.470041 \n", + "36 0.123182 0.879707 0.963551 1.843258 0.672072 0.436507 \n", + "37 0.375184 2.026194 2.026194 3.030474 1.099377 1.067868 \n", + "38 0.272510 1.626806 1.626806 2.623528 0.832926 0.619505 \n", + "39 0.089469 2.805872 2.805872 4.196399 1.265974 1.594684 \n", + "40 0.405564 1.890427 1.899381 3.789808 1.131163 1.115047 \n", + "41 -0.382201 1.409814 1.689741 3.099555 1.034171 0.923431 \n", + "42 0.686207 2.440720 2.440720 3.062273 1.186893 0.937835 \n", + "43 -0.273404 1.662726 1.923471 3.586197 1.096500 1.127564 \n", + "44 0.130780 1.552678 1.552678 2.884352 1.081623 1.152806 \n", + "45 0.173259 1.919244 1.919244 2.974637 0.946662 0.866150 \n", + "46 -0.088553 1.563099 1.563099 3.085460 0.930792 0.858532 \n", + "47 0.105141 1.514644 1.514644 2.406752 0.699770 0.478623 \n", + "48 0.269479 1.726507 1.726507 2.690486 0.865455 0.676393 \n", + "49 0.069012 1.123153 1.123153 2.043454 0.536581 0.283157 \n", + "\n", + " Standard Deviation Power Crest Factor Form Factor Pulse Indicator \\\n", + "0 1.052930 1.030055 2.069696 -5.650644 -11.695112 \n", + "1 0.796848 0.635465 1.712729 -3.151180 -5.397117 \n", + "2 1.195691 1.293553 1.859078 13.747427 25.557543 \n", + "3 0.888613 0.763122 1.567354 3.814302 5.978361 \n", + "4 0.724564 0.790294 1.912918 1.576946 3.016569 \n", + "5 1.202889 1.360799 2.075187 4.820950 10.004373 \n", + "6 1.137204 1.373656 2.005424 -2.559126 -5.132134 \n", + "7 0.558655 0.327144 1.567293 2.659343 4.167969 \n", + "8 1.270533 1.510317 2.336641 -5.125629 -11.976753 \n", + "9 1.096195 1.726517 2.150888 -1.636036 -3.518930 \n", + "10 0.775441 0.547189 1.483142 -9.540155 -14.149410 \n", + "11 1.029106 0.962478 1.771151 -10.159348 -17.993736 \n", + "12 0.572070 0.312452 2.194850 -4.176314 -9.166382 \n", + "13 1.179600 1.419669 1.854435 -2.912522 -5.401082 \n", + "14 0.804598 0.591293 1.698352 8.266830 14.039990 \n", + "15 1.019116 0.934783 2.272182 141.947952 322.531599 \n", + "16 0.747677 0.715749 1.651675 1.834714 3.030352 \n", + "17 1.201868 1.541455 1.882710 -2.526863 -4.757349 \n", + "18 0.728237 0.586763 1.914663 2.315203 4.432833 \n", + "19 0.962234 0.871133 1.829539 4.798777 8.779550 \n", + "20 1.131768 1.158084 1.695784 -14.816250 -25.125165 \n", + "21 0.870301 0.715946 1.529278 4.571117 6.990506 \n", + "22 1.034834 1.088706 1.636451 -2.952248 -4.831211 \n", + "23 0.749010 0.673999 2.087231 1.996533 4.167227 \n", + "24 0.526714 0.431976 2.175961 1.539384 3.349638 \n", + "25 1.215072 1.333755 2.280381 16.341990 37.265969 \n", + "26 1.218718 1.432677 1.517627 3.864520 5.864902 \n", + "27 1.013959 0.949727 1.770472 -6.235606 -11.039968 \n", + "28 1.017170 0.991464 1.851408 4.055114 7.507669 \n", + "29 0.982048 0.894830 1.815113 -5.772514 -10.477762 \n", + "30 1.108164 1.189522 2.572527 3.756450 9.663571 \n", + "31 0.986748 1.011914 2.159043 2.731659 5.897770 \n", + "32 1.214230 1.343009 1.749907 -9.136443 -15.987922 \n", + "33 1.223071 1.379777 1.605676 6.421152 10.310290 \n", + "34 0.870821 0.683304 2.812306 29.089795 81.809407 \n", + "35 0.722681 0.638151 2.329609 1.948342 4.538875 \n", + "36 0.696425 0.451681 1.433702 5.455915 7.822156 \n", + "37 1.089275 1.208631 1.843038 2.930236 5.400536 \n", + "38 0.829662 0.693766 1.953121 3.056501 5.969715 \n", + "39 1.331117 1.602689 2.216375 14.149812 31.361290 \n", + "40 1.113077 1.279529 1.679140 2.789110 4.683307 \n", + "41 1.012934 1.069509 1.633909 -2.705827 -4.421076 \n", + "42 1.020803 1.408715 2.056395 1.729644 3.556829 \n", + "43 1.119307 1.202313 1.754191 -4.010556 -7.035281 \n", + "44 1.131767 1.169909 1.435506 8.270582 11.872473 \n", + "45 0.981014 0.896169 2.027381 5.463853 11.077313 \n", + "46 0.976691 0.866374 1.679321 -10.511085 -17.651485 \n", + "47 0.729249 0.489678 2.164489 6.655515 14.405787 \n", + "48 0.866918 0.749012 1.994913 3.211582 6.406827 \n", + "49 0.560909 0.287919 2.093164 7.775183 16.274733 \n", + "\n", + " Margin Kurtosis Skewness label \n", + "0 2.427527 2.383707 -0.267759 1 \n", + "1 1.664761 2.105998 0.534903 1 \n", + "2 2.346379 2.538671 -0.241613 1 \n", + "3 1.638536 1.755856 -0.261205 1 \n", + "4 2.222567 2.102568 0.440846 1 \n", + "5 2.966141 3.869795 -0.902688 1 \n", + "6 2.667226 2.835863 0.415684 1 \n", + "7 1.377281 1.443894 0.016273 1 \n", + "8 3.280131 4.816155 1.698122 1 \n", + "9 3.158243 2.329370 -0.753923 1 \n", + "10 1.512813 1.662770 0.379036 2 \n", + "11 1.973285 1.955739 0.001575 2 \n", + "12 2.018483 3.056050 -0.082045 2 \n", + "13 2.322621 1.956418 0.037852 2 \n", + "14 1.747344 2.037027 -0.092307 2 \n", + "15 2.722795 3.366854 -0.865494 2 \n", + "16 1.652942 2.671065 -0.817120 2 \n", + "17 2.341196 4.119487 1.615029 2 \n", + "18 2.001873 1.718136 0.337674 2 \n", + "19 2.044022 2.116626 -0.119106 2 \n", + "20 2.041225 2.044118 0.714494 3 \n", + "21 1.515285 1.902752 -0.658599 3 \n", + "22 1.903056 2.042762 0.306445 3 \n", + "23 2.167624 2.571401 -0.087456 3 \n", + "24 1.986105 4.027795 -0.264895 3 \n", + "25 3.076828 3.605941 -1.105285 3 \n", + "26 1.854436 1.547268 -0.146616 3 \n", + "27 1.990651 1.960302 -0.056378 3 \n", + "28 2.194454 1.988498 0.455854 3 \n", + "29 1.982568 2.421706 0.618263 3 \n", + "30 4.235948 4.736813 0.733360 4 \n", + "31 2.738407 2.098044 0.662744 4 \n", + "32 2.230636 1.819980 -0.169432 4 \n", + "33 1.908943 1.350773 0.374683 4 \n", + "34 3.671443 6.699388 -2.575927 4 \n", + "35 2.577597 2.619845 0.685435 4 \n", + "36 1.376120 1.840085 -0.458379 4 \n", + "37 2.139008 1.505134 0.203997 4 \n", + "38 2.176450 2.037504 0.105265 4 \n", + "39 3.031931 2.752088 1.117661 4 \n", + "40 2.015794 2.869595 -0.887572 5 \n", + "41 1.821772 2.159802 0.696955 5 \n", + "42 2.661141 1.932817 0.271585 5 \n", + "43 2.149053 2.325438 0.576747 5 \n", + "44 1.568647 1.424831 -0.230916 5 \n", + "45 2.366635 1.942654 0.484749 5 \n", + "46 1.805139 1.945504 0.267165 5 \n", + "47 2.378582 2.613486 0.517488 5 \n", + "48 2.463647 2.393938 0.624468 5 \n", + "49 1.896352 2.880336 0.208763 5 " + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "df.info()" + "df" ] } ],