From 2f54e91197781ff422821b706744ac7cda210dc6 Mon Sep 17 00:00:00 2001 From: nuluh Date: Tue, 3 Sep 2024 15:39:44 +0700 Subject: [PATCH] feat: Add absolute value option to time feature extraction --- code/notebooks/03_feature_extraction.ipynb | 1301 ++++++++++---------- code/src/features/time_domain_features.py | 7 +- 2 files changed, 670 insertions(+), 638 deletions(-) diff --git a/code/notebooks/03_feature_extraction.ipynb b/code/notebooks/03_feature_extraction.ipynb index 4878537..2f23cc9 100644 --- a/code/notebooks/03_feature_extraction.ipynb +++ b/code/notebooks/03_feature_extraction.ipynb @@ -971,6 +971,22 @@ "df.head()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Absolute the data" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "df[df.columns[-1]] = df[df.columns[-1]].abs()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -980,12 +996,12 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 35, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1100,264 +1116,205 @@ "### Print Time-domain Features (Single CSV Real Data)" ] }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'df' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn [2], line 10\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtime_domain_features\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FeatureExtractor\n\u001b[0;32m 9\u001b[0m \u001b[38;5;66;03m# Extract features\u001b[39;00m\n\u001b[1;32m---> 10\u001b[0m extracted \u001b[38;5;241m=\u001b[39m FeatureExtractor(\u001b[43mdf\u001b[49m[df\u001b[38;5;241m.\u001b[39mcolumns[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]])\n\u001b[0;32m 12\u001b[0m \u001b[38;5;66;03m# Format with pandas DataFramw\u001b[39;00m\n\u001b[0;32m 13\u001b[0m features \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(extracted\u001b[38;5;241m.\u001b[39mfeatures, index\u001b[38;5;241m=\u001b[39m[\u001b[38;5;241m0\u001b[39m])\n", + "\u001b[1;31mNameError\u001b[0m: name 'df' is not defined" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import sys\n", + "import os\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 FeatureExtractor\n", + "\n", + "\n", + "# Extract features\n", + "extracted = FeatureExtractor(df[df.columns[-1]])\n", + "\n", + "# Format with pandas DataFramw\n", + "features = pd.DataFrame(extracted.features, index=[0])\n", + "features\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Print Time-domain Features (Multiple CSV Real Data)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "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": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Define a function to extract numbers from a filename that later used as labels features\n", + "def extract_numbers(filename):\n", + " '''\n", + " Extract numbers from a filename\n", + "\n", + " Parameters\n", + " ----------\n", + " filename : str\n", + " The filename to extract numbers from\n", + "\n", + " Returns\n", + " -------\n", + " list\n", + " A list of extracted numbers: [damage_number, test_number, sensor_number]\n", + " '''\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:str, sensor:int=None, verbose:bool=False, absolute:bool=False):\n", + " all_features = []\n", + " for nth_damage in os.listdir(input_dir):\n", + " nth_damage_path = os.path.join(input_dir, nth_damage)\n", + " if verbose:\n", + " print(f'Extracting features from damage folder {nth_damage_path}')\n", + " if os.path.isdir(nth_damage_path):\n", + " for nth_test in os.listdir(nth_damage_path):\n", + " nth_test_path = os.path.join(nth_damage_path, nth_test)\n", + " # if verbose:\n", + " # print(f'Extracting features from {nth_test_path}')\n", + " if sensor is not None:\n", + " # Check if the file has the specified sensor suffix\n", + " if not nth_test.endswith(f'_{sensor:02}.csv'):\n", + " continue\n", + " # if verbose:\n", + " # print(f'Extracting features from {nth_test_path}')\n", + " features = ExtractTimeFeatures(nth_test_path, absolute=absolute) # return the one csv file feature in dictionary {}\n", + " if verbose:\n", + " print(features)\n", + " features['label'] = extract_numbers(nth_test)[0] # add labels to the dictionary\n", + " features['filename'] = nth_test # add filename 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" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Execute the automation" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_1\n", + "{'Mean': 0.10861195383566818, 'Max': 0.6626305, 'Peak (Pm)': 0.6626305, 'Peak-to-Peak (Pk)': 0.6626301647239, 'RMS': 0.1362702190299897, 'Variance': 0.006773016078480047, 'Standard Deviation': 0.08229849279107779, 'Power': 0.018569572594481366, 'Crest Factor': 4.862621523006222, 'Form Factor': 1.2546521282194127, 'Pulse Indicator': 6.1008984425652795, 'Margin': 2.1849538435504186, 'Kurtosis': 3.919854893349945, 'Skewness': 1.007743082500558}\n", + "{'Mean': 0.11623915835130644, 'Max': 0.7143209, 'Peak (Pm)': 0.7143209, 'Peak-to-Peak (Pk)': 0.714317081577, 'RMS': 0.14557249700238117, 'Variance': 0.007679809949288185, 'Standard Deviation': 0.08763469202126355, 'Power': 0.021191351883508274, 'Crest Factor': 4.906977036935182, 'Form Factor': 1.252353329696533, 'Pulse Indicator': 6.145269030950202, 'Margin': 2.2755535142432146, 'Kurtosis': 3.8587318804757156, 'Skewness': 0.9900509098017531}\n", + "{'Mean': 0.13169360386502754, 'Max': 0.7278727, 'Peak (Pm)': 0.7278727, 'Peak-to-Peak (Pk)': 0.7278717090728001, 'RMS': 0.165006915629019, 'Variance': 0.009884076906443402, 'Standard Deviation': 0.09941888458181482, 'Power': 0.027227282205402194, 'Crest Factor': 4.411164812246163, 'Form Factor': 1.252960742103574, 'Pulse Indicator': 5.527016336693125, 'Margin': 2.1792802291177393, 'Kurtosis': 3.8114911905130944, 'Skewness': 0.982200250854774}\n", + "{'Mean': 0.09661585577317759, 'Max': 0.637569, 'Peak (Pm)': 0.637569, 'Peak-to-Peak (Pk)': 0.6375680165234, 'RMS': 0.12090799377123415, 'Variance': 0.005284119371001339, 'Standard Deviation': 0.07269208711043344, 'Power': 0.014618742957784795, 'Crest Factor': 5.273174916840671, 'Form Factor': 1.2514301384970035, 'Pulse Indicator': 6.599010016500847, 'Margin': 2.226963805106291, 'Kurtosis': 3.8537568548482435, 'Skewness': 0.9884607076084054}\n", + "{'Mean': 0.10477218863539046, 'Max': 0.5852444, 'Peak (Pm)': 0.5852444, 'Peak-to-Peak (Pk)': 0.585243042132, 'RMS': 0.13144029417868638, 'Variance': 0.006299339422329772, 'Standard Deviation': 0.07936852935884586, 'Power': 0.017276550933779614, 'Crest Factor': 4.452549377319485, 'Form Factor': 1.2545342031185538, 'Pulse Indicator': 5.585875484921513, 'Margin': 1.9649866646054637, 'Kurtosis': 3.8961900684995965, 'Skewness': 1.0029874458566062}\n", + "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_2\n", + "{'Mean': 0.12497037861765337, 'Max': 0.7776651, 'Peak (Pm)': 0.7776651, 'Peak-to-Peak (Pk)': 0.777661411963, 'RMS': 0.15703024768091647, 'Variance': 0.009040903154890338, 'Standard Deviation': 0.09508384533380004, 'Power': 0.024658498686729976, 'Crest Factor': 4.952326774521848, 'Form Factor': 1.256539745001095, 'Pulse Indicator': 6.222795422419779, 'Margin': 2.3914494217651483, 'Kurtosis': 4.032440140263064, 'Skewness': 1.0319214890804242}\n", + "{'Mean': 0.13005910769041173, 'Max': 0.7801023, 'Peak (Pm)': 0.7801023, 'Peak-to-Peak (Pk)': 0.7800990962500001, 'RMS': 0.1629113530481945, 'Variance': 0.009624737458767352, 'Standard Deviation': 0.09810593343171012, 'Power': 0.026540108951993477, 'Crest Factor': 4.788507893426066, 'Form Factor': 1.2525947312815888, 'Pulse Indicator': 5.99805975800579, 'Margin': 2.3491353605498797, 'Kurtosis': 3.9272842826957364, 'Skewness': 1.003737972554312}\n", + "{'Mean': 0.1475255812977528, 'Max': 0.8284533, 'Peak (Pm)': 0.8284533, 'Peak-to-Peak (Pk)': 0.8284528566905, 'RMS': 0.18490495831144427, 'Variance': 0.012426046470917055, 'Standard Deviation': 0.11147239063052429, 'Power': 0.03418984360815694, 'Crest Factor': 4.480427715759771, 'Form Factor': 1.2533755616136035, 'Pulse Indicator': 5.615658604509559, 'Margin': 2.343746706467838, 'Kurtosis': 3.8865184090917633, 'Skewness': 0.9950479548147393}\n", + "{'Mean': 0.11302540016105272, 'Max': 0.7604433, 'Peak (Pm)': 0.7604433, 'Peak-to-Peak (Pk)': 0.7604430504056, 'RMS': 0.14168733498902872, 'Variance': 0.007300559814727143, 'Standard Deviation': 0.08544347642953898, 'Power': 0.020075300896293242, 'Crest Factor': 5.367052037917739, 'Form Factor': 1.2535884392989087, 'Pulse Indicator': 6.728074387849327, 'Margin': 2.457804091403889, 'Kurtosis': 3.8747101916317725, 'Skewness': 0.9953841170354235}\n", + "{'Mean': 0.12031705692582279, 'Max': 0.6917691, 'Peak (Pm)': 0.6917691, 'Peak-to-Peak (Pk)': 0.6917687423721001, 'RMS': 0.1509157231480295, 'Variance': 0.008299361306001004, 'Standard Deviation': 0.09110100419750283, 'Power': 0.02277555549329269, 'Crest Factor': 4.583810656504364, 'Form Factor': 1.2543169439481157, 'Pulse Indicator': 5.74955137430336, 'Margin': 2.167332528548143, 'Kurtosis': 3.8900652931172375, 'Skewness': 1.0010868882541832}\n", + "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_3\n", + "{'Mean': 0.13485452260647166, 'Max': 0.7967038, 'Peak (Pm)': 0.7967038, 'Peak-to-Peak (Pk)': 0.7967000896109999, 'RMS': 0.16884091104965937, 'Variance': 0.01032151097665961, 'Standard Deviation': 0.10159503113046281, 'Power': 0.028507253244078986, 'Crest Factor': 4.718665606854455, 'Form Factor': 1.252022607668604, 'Pulse Indicator': 5.907876017810071, 'Margin': 2.3556475344978147, 'Kurtosis': 3.910439758246949, 'Skewness': 0.999919645919606}\n", + "{'Mean': 0.13534608053086036, 'Max': 0.8287752, 'Peak (Pm)': 0.8287752, 'Peak-to-Peak (Pk)': 0.82877160137, 'RMS': 0.16929145862040224, 'Variance': 0.010341036446757235, 'Standard Deviation': 0.1016910807051516, 'Power': 0.02865959796182336, 'Crest Factor': 4.895552361317535, 'Form Factor': 1.250804293381824, 'Pulse Indicator': 6.1233779120115, 'Margin': 2.446085789562267, 'Kurtosis': 3.8043775644466598, 'Skewness': 0.9745356265753446}\n", + "{'Mean': 0.12965173720783296, 'Max': 0.7944632, 'Peak (Pm)': 0.7944632, 'Peak-to-Peak (Pk)': 0.794461799291, 'RMS': 0.1625625135017677, 'Variance': 0.009616997835003433, 'Standard Deviation': 0.09806648011027351, 'Power': 0.02642657079601241, 'Crest Factor': 4.887124238463261, 'Form Factor': 1.2538398405042461, 'Pulse Indicator': 6.12767107567921, 'Margin': 2.3967788349063155, 'Kurtosis': 3.9299593609147108, 'Skewness': 1.0100293414443062}\n", + "{'Mean': 0.12927070001654023, 'Max': 0.7135901, 'Peak (Pm)': 0.7135901, 'Peak-to-Peak (Pk)': 0.713587194274, 'RMS': 0.16207233854213446, 'Variance': 0.009556529037749908, 'Standard Deviation': 0.09775768764293288, 'Power': 0.02626744292051624, 'Crest Factor': 4.402911110056487, 'Form Factor': 1.2537437990310043, 'Pulse Indicator': 5.520122501918037, 'Margin': 2.1564501310909345, 'Kurtosis': 3.8463393062274327, 'Skewness': 0.9942778392052645}\n", + "{'Mean': 0.12205282863992185, 'Max': 0.7488455, 'Peak (Pm)': 0.7488455, 'Peak-to-Peak (Pk)': 0.748844073214, 'RMS': 0.15292709505145338, 'Variance': 0.008489803421870123, 'Standard Deviation': 0.0921403050144024, 'Power': 0.02338669640087626, 'Crest Factor': 4.896748347623067, 'Form Factor': 1.2529582210881507, 'Pulse Indicator': 6.13542109875414, 'Margin': 2.328524868575274, 'Kurtosis': 3.888181107124967, 'Skewness': 0.9948432322300108}\n", + "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_4\n", + "{'Mean': 0.1348985423972359, 'Max': 0.7442828, 'Peak (Pm)': 0.7442828, 'Peak-to-Peak (Pk)': 0.74428273294477, 'RMS': 0.1690262994991522, 'Variance': 0.010372273181478256, 'Standard Deviation': 0.10184455188601045, 'Power': 0.028569889922377106, 'Crest Factor': 4.403354993899828, 'Form Factor': 1.2529883310482353, 'Pulse Indicator': 5.5173524248194585, 'Margin': 2.2012696204227113, 'Kurtosis': 3.8365956916488058, 'Skewness': 0.9905276898175764}\n", + "{'Mean': 0.14510613903620495, 'Max': 0.8217714, 'Peak (Pm)': 0.8217714, 'Peak-to-Peak (Pk)': 0.821766117538, 'RMS': 0.18214987905659388, 'Variance': 0.012122786854337349, 'Standard Deviation': 0.11010373789954651, 'Power': 0.03317857844033178, 'Crest Factor': 4.511512191258036, 'Form Factor': 1.2552872005721707, 'Pulse Indicator': 5.663243508911519, 'Margin': 2.3449707893701555, 'Kurtosis': 3.9264058536459627, 'Skewness': 1.0086993584407087}\n", + "{'Mean': 0.14042345745259668, 'Max': 0.8320401, 'Peak (Pm)': 0.8320401, 'Peak-to-Peak (Pk)': 0.832036926053, 'RMS': 0.1758869327443254, 'Variance': 0.01121746570726563, 'Standard Deviation': 0.10591274002133957, 'Power': 0.03093621311020685, 'Crest Factor': 4.730539597330285, 'Form Factor': 1.2525466609003006, 'Pulse Indicator': 5.9252215768927, 'Margin': 2.4119301890810863, 'Kurtosis': 3.838116517553205, 'Skewness': 0.9850437876604308}\n", + "{'Mean': 0.11460818733158669, 'Max': 0.6532164, 'Peak (Pm)': 0.6532164, 'Peak-to-Peak (Pk)': 0.653214658427, 'RMS': 0.14361795378567382, 'Variance': 0.007491080046151867, 'Standard Deviation': 0.08655119076345777, 'Power': 0.020626116649583946, 'Crest Factor': 4.54829206782056, 'Form Factor': 1.2531212396733533, 'Pulse Indicator': 5.69956139442378, 'Margin': 2.096257507768814, 'Kurtosis': 3.857070685851107, 'Skewness': 0.9915957364474681}\n", + "{'Mean': 0.124037125448541, 'Max': 0.6669507, 'Peak (Pm)': 0.6669507, 'Peak-to-Peak (Pk)': 0.66694659473, 'RMS': 0.15547548985491688, 'Variance': 0.00878741945608928, 'Standard Deviation': 0.09374141548797948, 'Power': 0.02417262794562636, 'Crest Factor': 4.289748182317162, 'Form Factor': 1.25345931141736, 'Pulse Indicator': 5.377024802761141, 'Margin': 2.0572986524988806, 'Kurtosis': 3.849466048284523, 'Skewness': 0.995403286474657}\n", + "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_1\n", + "{'Mean': 0.10156844026347414, 'Max': 0.5918152, 'Peak (Pm)': 0.5918152, 'Peak-to-Peak (Pk)': 0.591812204867, 'RMS': 0.1273105747526182, 'Variance': 0.005891834386287069, 'Standard Deviation': 0.07675843186271504, 'Power': 0.016207982443841983, 'Crest Factor': 4.648594204762468, 'Form Factor': 1.253446192757982, 'Pulse Indicator': 5.826762707636336, 'Margin': 2.0169392631404075, 'Kurtosis': 3.959306012781492, 'Skewness': 1.0117955332012372}\n", + "{'Mean': 0.113565465533875, 'Max': 0.6988725, 'Peak (Pm)': 0.6988725, 'Peak-to-Peak (Pk)': 0.6988722802079, 'RMS': 0.1422862926904231, 'Variance': 0.007348274125658988, 'Standard Deviation': 0.08572223840587731, 'Power': 0.020245389087584748, 'Crest Factor': 4.911734551412901, 'Form Factor': 1.2529010647869978, 'Pulse Indicator': 6.153917449416311, 'Margin': 2.2528929044415698, 'Kurtosis': 3.912502434315609, 'Skewness': 0.9991676576325043}\n", + "{'Mean': 0.1420653413098863, 'Max': 0.9292531, 'Peak (Pm)': 0.9292531, 'Peak-to-Peak (Pk)': 0.9292488680700001, 'RMS': 0.17837248381965012, 'Variance': 0.011634181782496858, 'Standard Deviation': 0.10786207008822375, 'Power': 0.03181674298399135, 'Crest Factor': 5.209621350227732, 'Form Factor': 1.2555665032371779, 'Pulse Indicator': 6.541026061895179, 'Margin': 2.6794066535741035, 'Kurtosis': 4.034122863128545, 'Skewness': 1.0306896401255596}\n", + "{'Mean': 0.12715541143100562, 'Max': 0.755228, 'Peak (Pm)': 0.755228, 'Peak-to-Peak (Pk)': 0.7552274523823, 'RMS': 0.15931024345213565, 'Variance': 0.009211255012590408, 'Standard Deviation': 0.09597546640161642, 'Power': 0.025379753668778728, 'Crest Factor': 4.7406116746466855, 'Form Factor': 1.252878203603448, 'Pulse Indicator': 5.939409038912873, 'Margin': 2.3013726266794055, 'Kurtosis': 3.8473907089318957, 'Skewness': 0.9841215072981665}\n", + "{'Mean': 0.11282508323444447, 'Max': 0.6920146, 'Peak (Pm)': 0.6920146, 'Peak-to-Peak (Pk)': 0.692013584858, 'RMS': 0.1412843411260445, 'Variance': 0.007231765640561178, 'Standard Deviation': 0.08503995077472862, 'Power': 0.019961265047420507, 'Crest Factor': 4.898027583839816, 'Form Factor': 1.2522422946718612, 'Pulse Indicator': 6.133517300953644, 'Margin': 2.236725107476516, 'Kurtosis': 3.8768643279888915, 'Skewness': 0.9978586119085865}\n", + "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_2\n", + "{'Mean': 0.10339165422013737, 'Max': 0.5797505, 'Peak (Pm)': 0.5797505, 'Peak-to-Peak (Pk)': 0.5797478997469999, 'RMS': 0.12968834598537562, 'Variance': 0.006129232922046042, 'Standard Deviation': 0.0782895670149765, 'Power': 0.016819067084422497, 'Crest Factor': 4.470336140036637, 'Form Factor': 1.2543405651412483, 'Pulse Indicator': 5.607323960264901, 'Margin': 1.9590883401151484, 'Kurtosis': 3.8925336120016634, 'Skewness': 1.0055286250182225}\n", + "{'Mean': 0.11170525817450622, 'Max': 0.6756481, 'Peak (Pm)': 0.6756481, 'Peak-to-Peak (Pk)': 0.6756477926636, 'RMS': 0.1402657999449104, 'Variance': 0.007196429930352545, 'Standard Deviation': 0.08483193610170386, 'Power': 0.01967449463418563, 'Crest Factor': 4.816912606389881, 'Form Factor': 1.2556776846241815, 'Pulse Indicator': 6.048489668628678, 'Margin': 2.1975471976374075, 'Kurtosis': 3.946993397416747, 'Skewness': 1.015142673401272}\n", + "{'Mean': 0.13263974760952524, 'Max': 0.814953, 'Peak (Pm)': 0.814953, 'Peak-to-Peak (Pk)': 0.8149497962500001, 'RMS': 0.16625709306754788, 'Variance': 0.010048118349352715, 'Standard Deviation': 0.10024049421354, 'Power': 0.02764142099527128, 'Crest Factor': 4.901763798245265, 'Form Factor': 1.2534485029102127, 'Pulse Indicator': 6.1441084945300055, 'Margin': 2.4308595525011776, 'Kurtosis': 3.9399687799493504, 'Skewness': 1.0080458071768004}\n", + "{'Mean': 0.12216895282513461, 'Max': 0.7196078, 'Peak (Pm)': 0.7196078, 'Peak-to-Peak (Pk)': 0.719607684516, 'RMS': 0.15299253723022288, 'Variance': 0.008481463413751179, 'Standard Deviation': 0.09209503661008728, 'Power': 0.023406716448141133, 'Crest Factor': 4.703548375808263, 'Form Factor': 1.252302927153737, 'Pulse Indicator': 5.890267399033893, 'Margin': 2.235990216835229, 'Kurtosis': 3.819405501957601, 'Skewness': 0.9867116302405707}\n", + "{'Mean': 0.11359081495079595, 'Max': 0.6528962, 'Peak (Pm)': 0.6528962, 'Peak-to-Peak (Pk)': 0.6528942255960001, 'RMS': 0.14220565540682817, 'Variance': 0.007319575188499572, 'Standard Deviation': 0.08555467906944692, 'Power': 0.020222448429685555, 'Crest Factor': 4.591211215420132, 'Form Factor': 1.2519115693326726, 'Pulse Indicator': 5.747790437834385, 'Margin': 2.1038145838382705, 'Kurtosis': 3.8560484852701475, 'Skewness': 0.9885476564081916}\n", + "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_3\n", + "{'Mean': 0.10196578434687417, 'Max': 0.6369753, 'Peak (Pm)': 0.6369753, 'Peak-to-Peak (Pk)': 0.6369715262810001, 'RMS': 0.12773594252827294, 'Variance': 0.005919449836112997, 'Standard Deviation': 0.07693810770479334, 'Power': 0.016316471013586246, 'Crest Factor': 4.986656749794699, 'Form Factor': 1.2527333884250043, 'Pulse Indicator': 6.246951407082732, 'Margin': 2.166322112675606, 'Kurtosis': 3.934673461331923, 'Skewness': 1.0052070033962466}\n", + "{'Mean': 0.11744228287785688, 'Max': 0.6533219, 'Peak (Pm)': 0.6533219, 'Peak-to-Peak (Pk)': 0.6533210394579, 'RMS': 0.1471860602460746, 'Variance': 0.007871046523198552, 'Standard Deviation': 0.08871908785085249, 'Power': 0.021663736330761102, 'Crest Factor': 4.438748471884747, 'Form Factor': 1.253262935966189, 'Pulse Indicator': 5.562918941889714, 'Margin': 2.0719719014709344, 'Kurtosis': 3.754108047119902, 'Skewness': 0.9725421131508118}\n", + "{'Mean': 0.15822032481110554, 'Max': 1.001901, 'Peak (Pm)': 1.001901, 'Peak-to-Peak (Pk)': 1.0018982991649998, 'RMS': 0.19846256347765465, 'Variance': 0.014353717918790353, 'Standard Deviation': 0.11980723131053735, 'Power': 0.0393873891021221, 'Crest Factor': 5.048312298519747, 'Form Factor': 1.2543430416704877, 'Pulse Indicator': 6.33231540382779, 'Margin': 2.736851348421886, 'Kurtosis': 3.8465793715639047, 'Skewness': 0.9984709367532942}\n", + "{'Mean': 0.12882220442628775, 'Max': 0.764375, 'Peak (Pm)': 0.764375, 'Peak-to-Peak (Pk)': 0.764373942018, 'RMS': 0.16163067307431705, 'Variance': 0.00952931412520849, 'Standard Deviation': 0.09761839210381601, 'Power': 0.02612447447845676, 'Crest Factor': 4.729145684176814, 'Form Factor': 1.2546802299661186, 'Pulse Indicator': 5.933565594566242, 'Margin': 2.3146302669231273, 'Kurtosis': 3.905827651186329, 'Skewness': 1.0044883208272095}\n", + "{'Mean': 0.10866713547178677, 'Max': 0.6170025, 'Peak (Pm)': 0.6170025, 'Peak-to-Peak (Pk)': 0.6170015984797, 'RMS': 0.13617995217916362, 'Variance': 0.006736433043875629, 'Standard Deviation': 0.08207593277888713, 'Power': 0.01854497937551929, 'Crest Factor': 4.530788050125378, 'Form Factor': 1.2531843375453657, 'Pulse Indicator': 5.677912621154832, 'Margin': 2.033717161471145, 'Kurtosis': 3.8459234859936693, 'Skewness': 0.9890789795516307}\n", + "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_4\n", + "{'Mean': 0.10234762767093783, 'Max': 0.5506368, 'Peak (Pm)': 0.5506368, 'Peak-to-Peak (Pk)': 0.5506367143183201, 'RMS': 0.12818522987371672, 'Variance': 0.005956416267908684, 'Standard Deviation': 0.07717796958981811, 'Power': 0.0164314531577776, 'Crest Factor': 4.29563375236341, 'Form Factor': 1.2524494489100466, 'Pulse Indicator': 5.380064125866949, 'Margin': 1.8701294186586008, 'Kurtosis': 3.796271247560618, 'Skewness': 0.9771788926839773}\n", + "{'Mean': 0.13709221528798035, 'Max': 0.7885605, 'Peak (Pm)': 0.7885605, 'Peak-to-Peak (Pk)': 0.7885602559935, 'RMS': 0.1717757508437296, 'Variance': 0.010712633085361108, 'Standard Deviation': 0.10350204805280439, 'Power': 0.02950690857792707, 'Crest Factor': 4.590639226588979, 'Form Factor': 1.2529942016247377, 'Pulse Indicator': 5.752044332667061, 'Margin': 2.313529340377086, 'Kurtosis': 3.875476218044351, 'Skewness': 0.9957141824232535}\n", + "{'Mean': 0.15569679664937916, 'Max': 0.8665391, 'Peak (Pm)': 0.8665391, 'Peak-to-Peak (Pk)': 0.866534830817, 'RMS': 0.19506420041417172, 'Variance': 0.013808549796342036, 'Standard Deviation': 0.11751001009352807, 'Power': 0.038050042283220155, 'Crest Factor': 4.442327696010408, 'Form Factor': 1.252846587803896, 'Pulse Indicator': 5.565555095853382, 'Margin': 2.385612230408672, 'Kurtosis': 3.8465728045369842, 'Skewness': 0.9910407218201748}\n", + "{'Mean': 0.12379243327586324, 'Max': 0.7413595, 'Peak (Pm)': 0.7413595, 'Peak-to-Peak (Pk)': 0.741358423391, 'RMS': 0.1555196869879253, 'Variance': 0.008861806504463193, 'Standard Deviation': 0.09413734811343555, 'Power': 0.024186373040822256, 'Crest Factor': 4.766981688032589, 'Form Factor': 1.2562939662181125, 'Pulse Indicator': 5.988730331747575, 'Margin': 2.2912655142745573, 'Kurtosis': 3.919118444626193, 'Skewness': 1.0092079074325853}\n", + "{'Mean': 0.11010352143013252, 'Max': 0.6074951, 'Peak (Pm)': 0.6074951, 'Peak-to-Peak (Pk)': 0.6074940457429999, 'RMS': 0.13797500828702497, 'Variance': 0.006914317480488955, 'Standard Deviation': 0.08315253367587891, 'Power': 0.019037102911804608, 'Crest Factor': 4.402935774689337, 'Form Factor': 1.253138923213992, 'Pulse Indicator': 5.51749019567456, 'Margin': 1.9889851026106096, 'Kurtosis': 3.814381021124157, 'Skewness': 0.9874332195185267}\n" + ] + } + ], + "source": [ + "data_dir = \"D:/thesis/data/converted/raw\"\n", + "# Extract features\n", + "df1 = build_features(data_dir, sensor=1, verbose=True, absolute=True)\n", + "df2 = build_features(data_dir, sensor=2, verbose=True, absolute=True)" + ] + }, { "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " Mean Max Peak (Pm) Peak-to-Peak (Pk) RMS Variance \\\n", - "0 -4.594330e-11 0.691769 0.691769 1.375404 0.150915 0.022775 \n", - "\n", - " Standard Deviation Power Crest Factor Form Factor Pulse Indicator \\\n", - "0 0.150916 0.022775 4.583819 -3.284819e+09 -1.505702e+10 \n", - "\n", - " Margin Kurtosis Skewness \n", - "0 2.16734 3.012459 0.008173 " - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "import sys\n", - "import os\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 FeatureExtractor\n", - "\n", - "\n", - "# Extract features\n", - "extracted = FeatureExtractor(df[df.columns[-1]])\n", - "\n", - "# Format with pandas DataFramw\n", - "features = pd.DataFrame(extracted.features, index=[0])\n", - "features\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Print Time-domain Features (Multiple CSV Real Data)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "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": 25, - "metadata": {}, - "outputs": [], - "source": [ - "# Define a function to extract numbers from a filename that later used as labels features\n", - "def extract_numbers(filename):\n", - " '''\n", - " Extract numbers from a filename\n", - "\n", - " Parameters\n", - " ----------\n", - " filename : str\n", - " The filename to extract numbers from\n", - "\n", - " Returns\n", - " -------\n", - " list\n", - " A list of extracted numbers: [damage_number, test_number, sensor_number]\n", - " '''\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:str, sensor:int=None, verbose:bool=False):\n", - " all_features = []\n", - " for nth_damage in os.listdir(input_dir):\n", - " nth_damage_path = os.path.join(input_dir, nth_damage)\n", - " if verbose:\n", - " print(f'Extracting features from damage folder {nth_damage_path}')\n", - " if os.path.isdir(nth_damage_path):\n", - " for nth_test in os.listdir(nth_damage_path):\n", - " nth_test_path = os.path.join(nth_damage_path, nth_test)\n", - " # if verbose:\n", - " # print(f'Extracting features from {nth_test_path}')\n", - " if sensor is not None:\n", - " # Check if the file has the specified sensor suffix\n", - " if not nth_test.endswith(f'_{sensor:02}.csv'):\n", - " continue\n", - " # if verbose:\n", - " # print(f'Extracting features from {nth_test_path}')\n", - " features = ExtractTimeFeatures(nth_test_path) # return the one csv file feature in dictionary {}\n", - " if verbose:\n", - " print(features)\n", - " features['label'] = extract_numbers(nth_test)[0] # add labels to the dictionary\n", - " features['filename'] = nth_test # add filename 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" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Execute the automation" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_1\n", - "{'Mean': 4.935794427560776e-09, 'Max': 0.5858288, 'Peak (Pm)': 0.6626305, 'Peak-to-Peak (Pk)': 1.2484593, 'RMS': 0.1362702190299897, 'Variance': 0.01856957259448133, 'Standard Deviation': 0.13627047894654068, 'Power': 0.018569572594481366, 'Crest Factor': 4.862621523006222, 'Form Factor': 27608568.596187092, 'Pulse Indicator': 134250019.87521306, 'Margin': 2.1849538435504186, 'Kurtosis': 3.022962308835951, 'Skewness': 0.0012958106685132709}\n", - "{'Mean': 1.0670429728482285e-07, 'Max': 0.7143209, 'Peak (Pm)': 0.7143209, 'Peak-to-Peak (Pk)': 1.2992979, 'RMS': 0.14557249700238117, 'Variance': 0.021191351883496887, 'Standard Deviation': 0.14557277466169877, 'Power': 0.021191351883508274, 'Crest Factor': 4.906977036935182, 'Form Factor': 1364260.8658375633, 'Pulse Indicator': 6694396.741054232, 'Margin': 2.2755535142432146, 'Kurtosis': 2.9896062310785814, 'Skewness': 0.0016697103771502017}\n", - "{'Mean': 1.9706693736568082e-08, 'Max': 0.7278727, 'Peak (Pm)': 0.7278727, 'Peak-to-Peak (Pk)': 1.4333739, 'RMS': 0.165006915629019, 'Variance': 0.027227282205401805, 'Standard Deviation': 0.1650072303568338, 'Power': 0.027227282205402194, 'Crest Factor': 4.411164812246163, 'Form Factor': 8373140.509248861, 'Pulse Indicator': 36935302.78239149, 'Margin': 2.1792802291177393, 'Kurtosis': 2.9812895758530917, 'Skewness': -0.006938824931332053}\n", - "{'Mean': 4.6400798331387123e-08, 'Max': 0.637569, 'Peak (Pm)': 0.637569, 'Peak-to-Peak (Pk)': 1.1512296000000002, 'RMS': 0.12090799377123415, 'Variance': 0.01461874295778264, 'Standard Deviation': 0.12090822438646137, 'Power': 0.014618742957784795, 'Crest Factor': 5.273174916840671, 'Form Factor': 2605730.8951395294, 'Pulse Indicator': 13740474.796286557, 'Margin': 2.226963805106291, 'Kurtosis': 2.9826863333977065, 'Skewness': -0.00442221557241219}\n", - "{'Mean': 2.7488388806731582e-08, 'Max': 0.5571427, 'Peak (Pm)': 0.5852444, 'Peak-to-Peak (Pk)': 1.1423871, 'RMS': 0.13144029417868638, 'Variance': 0.017276550933778858, 'Standard Deviation': 0.1314405448828225, 'Power': 0.017276550933779614, 'Crest Factor': 4.452549377319485, 'Form Factor': 4781666.000973408, 'Pulse Indicator': 21290603.975183897, 'Margin': 1.9649866646054637, 'Kurtosis': 3.015813008716952, 'Skewness': -0.000659001044647282}\n", - "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_2\n", - "{'Mean': 1.3934612310944543e-08, 'Max': 0.7251477, 'Peak (Pm)': 0.7776651, 'Peak-to-Peak (Pk)': 1.5028128, 'RMS': 0.15703024768091647, 'Variance': 0.024658498686729775, 'Standard Deviation': 0.15703054719434353, 'Power': 0.024658498686729976, 'Crest Factor': 4.952326774521848, 'Form Factor': 11269079.051275905, 'Pulse Indicator': 55808161.909836926, 'Margin': 2.3914494217651483, 'Kurtosis': 3.065793079040563, 'Skewness': -0.011438874839155505}\n", - "{'Mean': -1.6040696913631207e-08, 'Max': 0.7163731, 'Peak (Pm)': 0.7801023, 'Peak-to-Peak (Pk)': 1.4964754, 'RMS': 0.1629113530481945, 'Variance': 0.026540108951993217, 'Standard Deviation': 0.1629116637790146, 'Power': 0.026540108951993477, 'Crest Factor': 4.788507893426066, 'Form Factor': -10156126.876866193, 'Pulse Indicator': -48632693.71651039, 'Margin': 2.3491353605498797, 'Kurtosis': 3.0095153805004067, 'Skewness': 0.0035459331148647265}\n", - "{'Mean': -3.6031959580527945e-08, 'Max': 0.7914127, 'Peak (Pm)': 0.8284533, 'Peak-to-Peak (Pk)': 1.619866, 'RMS': 0.18490495831144427, 'Variance': 0.034189843608155635, 'Standard Deviation': 0.18490531099201457, 'Power': 0.03418984360815694, 'Crest Factor': 4.480427715759771, 'Form Factor': -5131693.098683672, 'Pulse Indicator': -22992179.988115467, 'Margin': 2.343746706467838, 'Kurtosis': 3.002473556285487, 'Skewness': 0.016718729830412823}\n", - "{'Mean': 9.172816008257008e-09, 'Max': 0.6702775, 'Peak (Pm)': 0.7604433, 'Peak-to-Peak (Pk)': 1.4307208, 'RMS': 0.14168733498902872, 'Variance': 0.02007530089629316, 'Standard Deviation': 0.1416876052379772, 'Power': 0.020075300896293242, 'Crest Factor': 5.367052037917739, 'Form Factor': 15446438.134318551, 'Pulse Indicator': 82901837.26736467, 'Margin': 2.457804091403889, 'Kurtosis': 3.0023394577627944, 'Skewness': -0.01140764905780411}\n", - "{'Mean': 9.495013175985419e-09, 'Max': 0.6917691, 'Peak (Pm)': 0.6917691, 'Peak-to-Peak (Pk)': 1.375404, 'RMS': 0.1509157231480295, 'Variance': 0.022775555493292594, 'Standard Deviation': 0.15091601099884902, 'Power': 0.02277555549329269, 'Crest Factor': 4.583810656504364, 'Form Factor': 15894208.923240073, 'Pulse Indicator': 72856044.2390546, 'Margin': 2.167332528548143, 'Kurtosis': 3.012447483653337, 'Skewness': 0.008172550552215142}\n", - "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_3\n", - "{'Mean': -5.125203652084519e-09, 'Max': 0.7967038, 'Peak (Pm)': 0.7967038, 'Peak-to-Peak (Pk)': 1.5589914999999999, 'RMS': 0.16884091104965937, 'Variance': 0.028507253244078955, 'Standard Deviation': 0.16884123309028998, 'Power': 0.028507253244078986, 'Crest Factor': 4.718665606854455, 'Form Factor': -32943258.943669196, 'Pulse Indicator': -155448222.95519227, 'Margin': 2.3556475344978147, 'Kurtosis': 3.0014048735916217, 'Skewness': 0.00016304631330188324}\n", - "{'Mean': -7.222874873547567e-09, 'Max': 0.8287752, 'Peak (Pm)': 0.8287752, 'Peak-to-Peak (Pk)': 1.5514018, 'RMS': 0.16929145862040224, 'Variance': 0.028659597961823314, 'Standard Deviation': 0.16929178152038984, 'Power': 0.02865959796182336, 'Crest Factor': 4.895552361317535, 'Form Factor': -23438237.76324863, 'Pulse Indicator': -114743120.22699365, 'Margin': 2.446085789562267, 'Kurtosis': 2.9631006088008798, 'Skewness': 0.010084718218560516}\n", - "{'Mean': -7.725628435660411e-09, 'Max': 0.7944632, 'Peak (Pm)': 0.7944632, 'Peak-to-Peak (Pk)': 1.5331682, 'RMS': 0.1625625135017677, 'Variance': 0.026426570796012346, 'Standard Deviation': 0.16256282356722532, 'Power': 0.02642657079601241, 'Crest Factor': 4.887124238463261, 'Form Factor': -21041979.284352075, 'Pulse Indicator': -102834766.98579885, 'Margin': 2.3967788349063155, 'Kurtosis': 3.0213181211381293, 'Skewness': 0.004488735052518127}\n", - "{'Mean': 9.120998409253091e-09, 'Max': 0.7135901, 'Peak (Pm)': 0.7135901, 'Peak-to-Peak (Pk)': 1.4117066, 'RMS': 0.16207233854213446, 'Variance': 0.026267442920516162, 'Standard Deviation': 0.16207264767265123, 'Power': 0.02626744292051624, 'Crest Factor': 4.402911110056487, 'Form Factor': 17769144.480687, 'Pulse Indicator': 78235963.6502157, 'Margin': 2.1564501310909345, 'Kurtosis': 2.998678121046115, 'Skewness': 0.006172057448616143}\n", - "{'Mean': -3.128234370585584e-08, 'Max': 0.6531574, 'Peak (Pm)': 0.7488455, 'Peak-to-Peak (Pk)': 1.4020029, 'RMS': 0.15292709505145338, 'Variance': 0.023386696400875272, 'Standard Deviation': 0.15292738673868306, 'Power': 0.02338669640087626, 'Crest Factor': 4.896748347623067, 'Form Factor': -4888607.339955366, 'Pulse Indicator': -23938279.914104436, 'Margin': 2.328524868575274, 'Kurtosis': 3.000210053435982, 'Skewness': -0.0029119433234809813}\n", - "Extracting features from damage folder D:/thesis/data/converted/raw\\DAMAGE_4\n", - "{'Mean': 1.55488128252111e-08, 'Max': 0.7442828, 'Peak (Pm)': 0.7442828, 'Peak-to-Peak (Pk)': 1.459784, 'RMS': 0.1690262994991522, 'Variance': 0.02856988992237687, 'Standard Deviation': 0.169026621893385, 'Power': 0.028569889922377106, 'Crest Factor': 4.403354993899828, 'Form Factor': 10870688.418416755, 'Pulse Indicator': 47867500.13436445, 'Margin': 2.2012696204227113, 'Kurtosis': 2.99056612619621, 'Skewness': -0.018603955930243943}\n", - "{'Mean': 1.292989200929343e-08, 'Max': 0.8217714, 'Peak (Pm)': 0.8217714, 'Peak-to-Peak (Pk)': 1.6252129000000002, 'RMS': 0.18214987905659388, 'Variance': 0.033178578440331605, 'Standard Deviation': 0.1821502264822355, 'Power': 0.03317857844033178, 'Crest Factor': 4.511512191258036, 'Form Factor': 14087501.96255875, 'Pulse Indicator': 63555936.8484553, 'Margin': 2.3449707893701555, 'Kurtosis': 3.0280857310588734, 'Skewness': 0.0009546518963361565}\n", - "{'Mean': -9.007574774122792e-09, 'Max': 0.8003945, 'Peak (Pm)': 0.8320401, 'Peak-to-Peak (Pk)': 1.6324345999999998, 'RMS': 0.1758869327443254, 'Variance': 0.03093621311020678, 'Standard Deviation': 0.17588726822426548, 'Power': 0.03093621311020685, 'Crest Factor': 4.730539597330285, 'Form Factor': -19526558.164092984, 'Pulse Indicator': -92371156.5948148, 'Margin': 2.4119301890810863, 'Kurtosis': 2.9844842979116764, 'Skewness': -0.011957880697579701}\n", - "{'Mean': 1.3813648390246642e-09, 'Max': 0.6532164, 'Peak (Pm)': 0.6532164, 'Peak-to-Peak (Pk)': 1.2857231, 'RMS': 0.14361795378567382, 'Variance': 0.020626116649583946, 'Standard Deviation': 0.14361822771701033, 'Power': 0.020626116649583946, 'Crest Factor': 4.54829206782056, 'Form Factor': 103968155.06544794, 'Pulse Indicator': 472877534.99011487, 'Margin': 2.096257507768814, 'Kurtosis': 2.9947520336358764, 'Skewness': -0.0031834515529559487}\n", - "{'Mean': -4.778003436297728e-08, 'Max': 0.6669507, 'Peak (Pm)': 0.6669507, 'Peak-to-Peak (Pk)': 1.3241321, 'RMS': 0.15547548985491688, 'Variance': 0.024172627945624078, 'Standard Deviation': 0.1554757864028522, 'Power': 0.02417262794562636, 'Crest Factor': 4.289748182317162, 'Form Factor': -3253984.4712918047, 'Pulse Indicator': -13958773.971012289, 'Margin': 2.0572986524988806, 'Kurtosis': 2.998294672107473, 'Skewness': -0.005900011198990793}\n", - "{'Mean': -1.4860702017497662e-08, 'Max': 0.5918152, 'Peak (Pm)': 0.5918152, 'Peak-to-Peak (Pk)': 1.1695822, 'RMS': 0.1273105747526182, 'Variance': 0.016207982443841768, 'Standard Deviation': 0.12731081757988907, 'Power': 0.016207982443841983, 'Crest Factor': 4.648594204762468, 'Form Factor': -8566928.70920344, 'Pulse Indicator': -39824175.150216326, 'Margin': 2.0169392631404075, 'Kurtosis': 3.02420106022748, 'Skewness': 0.0074253093438661905}\n", - "{'Mean': -1.7241842698455592e-08, 'Max': 0.6988725, 'Peak (Pm)': 0.6988725, 'Peak-to-Peak (Pk)': 1.3169399, 'RMS': 0.1422862926904231, 'Variance': 0.020245389087584442, 'Standard Deviation': 0.14228656408179957, 'Power': 0.020245389087584748, 'Crest Factor': 4.911734551412901, 'Form Factor': -8252383.180781955, 'Pulse Indicator': -40533515.60054543, 'Margin': 2.2528929044415698, 'Kurtosis': 3.006112425097173, 'Skewness': 0.0020457966428877265}\n", - "{'Mean': -4.1197091090896294e-09, 'Max': 0.9292531, 'Peak (Pm)': 0.9292531, 'Peak-to-Peak (Pk)': 1.7662965000000002, 'RMS': 0.17837248381965012, 'Variance': 0.03181674298399133, 'Standard Deviation': 0.17837282404043445, 'Power': 0.03181674298399135, 'Crest Factor': 5.209621350227732, 'Form Factor': -43297349.180817954, 'Pulse Indicator': -225562794.70065442, 'Margin': 2.6794066535741035, 'Kurtosis': 3.059551564691877, 'Skewness': -0.009642173835931916}\n", - "{'Mean': -1.1934879643152173e-08, 'Max': 0.707527, 'Peak (Pm)': 0.755228, 'Peak-to-Peak (Pk)': 1.462755, 'RMS': 0.15931024345213565, 'Variance': 0.025379753668778586, 'Standard Deviation': 0.15931054731433875, 'Power': 0.025379753668778728, 'Crest Factor': 4.7406116746466855, 'Form Factor': -13348290.742382344, 'Pulse Indicator': -63279062.92991602, 'Margin': 2.3013726266794055, 'Kurtosis': 2.9869035740941716, 'Skewness': 0.014359917561322237}\n", - "{'Mean': 7.395535928902504e-09, 'Max': 0.6920146, 'Peak (Pm)': 0.6920146, 'Peak-to-Peak (Pk)': 1.3443711, 'RMS': 0.1412843411260445, 'Variance': 0.019961265047420452, 'Standard Deviation': 0.14128461060633815, 'Power': 0.019961265047420507, 'Crest Factor': 4.898027583839816, 'Form Factor': 19104003.074867226, 'Pulse Indicator': 93571934.02246033, 'Margin': 2.236725107476516, 'Kurtosis': 2.9968041695990943, 'Skewness': 0.0034724073879618903}\n", - "{'Mean': 1.0422456716329221e-08, 'Max': 0.5713457, 'Peak (Pm)': 0.5797505, 'Peak-to-Peak (Pk)': 1.1510962, 'RMS': 0.12968834598537562, 'Variance': 0.016819067084422386, 'Standard Deviation': 0.12968859334791594, 'Power': 0.016819067084422497, 'Crest Factor': 4.470336140036637, 'Form Factor': 12443164.746579224, 'Pulse Indicator': 55625129.06306293, 'Margin': 1.9590883401151484, 'Kurtosis': 3.016023674055137, 'Skewness': 0.00852173949170516}\n", - "{'Mean': 8.107469372403859e-09, 'Max': 0.6199987, 'Peak (Pm)': 0.6756481, 'Peak-to-Peak (Pk)': 1.2956468, 'RMS': 0.1402657999449104, 'Variance': 0.019674494634185562, 'Standard Deviation': 0.14026606748247794, 'Power': 0.01967449463418563, 'Crest Factor': 4.816912606389881, 'Form Factor': 17300811.572886854, 'Pulse Indicator': 83336497.36621463, 'Margin': 2.1975471976374075, 'Kurtosis': 3.037578810042664, 'Skewness': -0.013613810169722728}\n", - "{'Mean': 4.262961079273146e-08, 'Max': 0.814953, 'Peak (Pm)': 0.814953, 'Peak-to-Peak (Pk)': 1.5565602, 'RMS': 0.16625709306754788, 'Variance': 0.027641420995269454, 'Standard Deviation': 0.1662574101798985, 'Power': 0.02764142099527128, 'Crest Factor': 4.901763798245265, 'Form Factor': 3900037.7900681063, 'Pulse Indicator': 19117064.05114431, 'Margin': 2.4308595525011776, 'Kurtosis': 3.0190362730354328, 'Skewness': 0.0022508235385028208}\n", - "{'Mean': 9.371075913619966e-10, 'Max': 0.7196078, 'Peak (Pm)': 0.7196078, 'Peak-to-Peak (Pk)': 1.3686654, 'RMS': 0.15299253723022288, 'Variance': 0.023406716448141136, 'Standard Deviation': 0.15299282904227765, 'Power': 0.023406716448141133, 'Crest Factor': 4.703548375808263, 'Form Factor': 163260375.47925827, 'Pulse Indicator': 767903073.9193124, 'Margin': 2.235990216835229, 'Kurtosis': 2.981834630537439, 'Skewness': 0.0007909124000460926}\n", - "{'Mean': 1.4493594366489167e-08, 'Max': 0.6528962, 'Peak (Pm)': 0.6528962, 'Peak-to-Peak (Pk)': 1.290172, 'RMS': 0.14220565540682817, 'Variance': 0.020222448429685333, 'Standard Deviation': 0.14220592664440052, 'Power': 0.020222448429685555, 'Crest Factor': 4.591211215420132, 'Form Factor': 9811621.038299773, 'Pulse Indicator': 45047224.552494034, 'Margin': 2.1038145838382705, 'Kurtosis': 2.9857388812869656, 'Skewness': -0.007918264333781077}\n", - "{'Mean': 1.031987296632552e-08, 'Max': 0.595708, 'Peak (Pm)': 0.6369753, 'Peak-to-Peak (Pk)': 1.2326833000000001, 'RMS': 0.12773594252827294, 'Variance': 0.01631647101358614, 'Standard Deviation': 0.12773618616687432, 'Power': 0.016316471013586246, 'Crest Factor': 4.986656749794699, 'Form Factor': 12377666.173322521, 'Pulse Indicator': 61723172.569904275, 'Margin': 2.166322112675606, 'Kurtosis': 3.012298419893727, 'Skewness': 0.004319132036356966}\n", - "{'Mean': 1.5924574521904461e-09, 'Max': 0.6533219, 'Peak (Pm)': 0.6533219, 'Peak-to-Peak (Pk)': 1.2685596000000001, 'RMS': 0.1471860602460746, 'Variance': 0.021663736330761102, 'Standard Deviation': 0.1471863409830795, 'Power': 0.021663736330761102, 'Crest Factor': 4.438748471884747, 'Form Factor': 92426997.05641633, 'Pulse Indicator': 410260191.945064, 'Margin': 2.0719719014709344, 'Kurtosis': 2.968632188312844, 'Skewness': -0.005134453231454551}\n", - "{'Mean': -2.47821254392403e-08, 'Max': 1.001901, 'Peak (Pm)': 1.001901, 'Peak-to-Peak (Pk)': 1.8490419, 'RMS': 0.19846256347765465, 'Variance': 0.03938738910212148, 'Standard Deviation': 0.19846294201747922, 'Power': 0.0393873891021221, 'Crest Factor': 5.048312298519747, 'Form Factor': -8008294.68659725, 'Pulse Indicator': -40428372.55651924, 'Margin': 2.736851348421886, 'Kurtosis': 3.0049833880728696, 'Skewness': 0.00472936527535124}\n", - "{'Mean': 1.1718091881137134e-08, 'Max': 0.6872381, 'Peak (Pm)': 0.764375, 'Peak-to-Peak (Pk)': 1.4516130999999999, 'RMS': 0.16163067307431705, 'Variance': 0.026124474478456623, 'Standard Deviation': 0.161630981362418, 'Power': 0.02612447447845676, 'Crest Factor': 4.729145684176814, 'Form Factor': 13793258.724528132, 'Pulse Indicator': 65230329.9678364, 'Margin': 2.3146302669231273, 'Kurtosis': 3.018968361591216, 'Skewness': -0.0027038961477170074}\n", - "{'Mean': 4.483916744688538e-09, 'Max': 0.5636284, 'Peak (Pm)': 0.6170025, 'Peak-to-Peak (Pk)': 1.1806309000000001, 'RMS': 0.13617995217916362, 'Variance': 0.018544979375519265, 'Standard Deviation': 0.1361802119235431, 'Power': 0.01854497937551929, 'Crest Factor': 4.530788050125378, 'Form Factor': 30370758.409035303, 'Pulse Indicator': 137603469.27290198, 'Margin': 2.033717161471145, 'Kurtosis': 2.9918743365839853, 'Skewness': -0.0004150140042344471}\n", - "{'Mean': 2.9766394349442996e-09, 'Max': 0.5311777, 'Peak (Pm)': 0.5506368, 'Peak-to-Peak (Pk)': 1.0818145000000001, 'RMS': 0.12818522987371672, 'Variance': 0.01643145315777759, 'Standard Deviation': 0.12818547436927183, 'Power': 0.0164314531577776, 'Crest Factor': 4.29563375236341, 'Form Factor': 43063741.06614474, 'Pulse Indicator': 184986059.62676963, 'Margin': 1.8701294186586008, 'Kurtosis': 2.9729630742257265, 'Skewness': -0.0017016004702273704}\n", - "{'Mean': -1.7561047037294235e-08, 'Max': 0.7885605, 'Peak (Pm)': 0.7885605, 'Peak-to-Peak (Pk)': 1.5711632, 'RMS': 0.1717757508437296, 'Variance': 0.029506908577926764, 'Standard Deviation': 0.17177607848215945, 'Power': 0.02950690857792707, 'Crest Factor': 4.590639226588979, 'Form Factor': -9781634.914987188, 'Pulse Indicator': -44903956.94091254, 'Margin': 2.313529340377086, 'Kurtosis': 2.999345507398793, 'Skewness': -0.0039902823350783535}\n", - "{'Mean': -7.485887050165297e-09, 'Max': 0.8665391, 'Peak (Pm)': 0.8665391, 'Peak-to-Peak (Pk)': 1.6968147, 'RMS': 0.19506420041417172, 'Variance': 0.03805004228322011, 'Standard Deviation': 0.19506457247209133, 'Power': 0.038050042283220155, 'Crest Factor': 4.442327696010408, 'Form Factor': -26057593.322873402, 'Pulse Indicator': -115756368.50957641, 'Margin': 2.385612230408672, 'Kurtosis': 2.9914497228644032, 'Skewness': -0.006119251854077776}\n", - "{'Mean': -1.065039840858949e-09, 'Max': 0.7413595, 'Peak (Pm)': 0.7413595, 'Peak-to-Peak (Pk)': 1.428194, 'RMS': 0.1555196869879253, 'Variance': 0.02418637304082225, 'Standard Deviation': 0.15551998362016786, 'Power': 0.024186373040822256, 'Crest Factor': 4.766981688032589, 'Form Factor': -146022412.51604208, 'Pulse Indicator': -696086166.5063134, 'Margin': 2.2912655142745573, 'Kurtosis': 3.0331285787830486, 'Skewness': -0.013338525795229992}\n", - "{'Mean': 2.033986356306842e-08, 'Max': 0.5774453, 'Peak (Pm)': 0.6074951, 'Peak-to-Peak (Pk)': 1.1849404, 'RMS': 0.13797500828702497, 'Variance': 0.019037102911804195, 'Standard Deviation': 0.1379752714552237, 'Power': 0.019037102911804608, 'Crest Factor': 4.402935774689337, 'Form Factor': 6783477.571479364, 'Pulse Indicator': 29867216.076269235, 'Margin': 1.9889851026106096, 'Kurtosis': 2.986310918941125, 'Skewness': 0.006731218798193905}\n" - ] - } - ], - "source": [ - "data_dir = \"D:/thesis/data/converted/raw\"\n", - "# Extract features\n", - "df1 = build_features(data_dir, sensor=1, verbose=True)\n", - "df2 = build_features(data_dir, sensor=2, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, "outputs": [ { "data": { @@ -1401,96 +1358,96 @@ " \n", " \n", " 0\n", - " 4.935794e-09\n", - " 0.585829\n", + " 0.108612\n", " 0.662631\n", - " 1.248459\n", - " 0.136270\n", - " 0.018570\n", + " 0.662631\n", + " 0.662630\n", " 0.136270\n", + " 0.006773\n", + " 0.082298\n", " 0.018570\n", " 4.862622\n", - " 2.760857e+07\n", - " 1.342500e+08\n", + " 1.254652\n", + " 6.100898\n", " 2.184954\n", - " 3.022962\n", - " 0.001296\n", + " 3.919855\n", + " 1.007743\n", " 1\n", " D1_TEST01_01.csv\n", " \n", " \n", " 1\n", - " 1.067043e-07\n", + " 0.116239\n", " 0.714321\n", " 0.714321\n", - " 1.299298\n", + " 0.714317\n", " 0.145572\n", - " 0.021191\n", - " 0.145573\n", + " 0.007680\n", + " 0.087635\n", " 0.021191\n", " 4.906977\n", - " 1.364261e+06\n", - " 6.694397e+06\n", + " 1.252353\n", + " 6.145269\n", " 2.275554\n", - " 2.989606\n", - " 0.001670\n", + " 3.858732\n", + " 0.990051\n", " 1\n", " D1_TEST02_01.csv\n", " \n", " \n", " 2\n", - " 1.970669e-08\n", + " 0.131694\n", " 0.727873\n", " 0.727873\n", - " 1.433374\n", - " 0.165007\n", - " 0.027227\n", + " 0.727872\n", " 0.165007\n", + " 0.009884\n", + " 0.099419\n", " 0.027227\n", " 4.411165\n", - " 8.373141e+06\n", - " 3.693530e+07\n", + " 1.252961\n", + " 5.527016\n", " 2.179280\n", - " 2.981290\n", - " -0.006939\n", + " 3.811491\n", + " 0.982200\n", " 1\n", " D1_TEST03_01.csv\n", " \n", " \n", " 3\n", - " 4.640080e-08\n", + " 0.096616\n", " 0.637569\n", " 0.637569\n", - " 1.151230\n", - " 0.120908\n", - " 0.014619\n", + " 0.637568\n", " 0.120908\n", + " 0.005284\n", + " 0.072692\n", " 0.014619\n", " 5.273175\n", - " 2.605731e+06\n", - " 1.374047e+07\n", + " 1.251430\n", + " 6.599010\n", " 2.226964\n", - " 2.982686\n", - " -0.004422\n", + " 3.853757\n", + " 0.988461\n", " 1\n", " D1_TEST04_01.csv\n", " \n", " \n", " 4\n", - " 2.748839e-08\n", - " 0.557143\n", + " 0.104772\n", " 0.585244\n", - " 1.142387\n", + " 0.585244\n", + " 0.585243\n", " 0.131440\n", - " 0.017277\n", - " 0.131441\n", + " 0.006299\n", + " 0.079369\n", " 0.017277\n", " 4.452549\n", - " 4.781666e+06\n", - " 2.129060e+07\n", + " 1.254534\n", + " 5.585875\n", " 1.964987\n", - " 3.015813\n", - " -0.000659\n", + " 3.896190\n", + " 1.002987\n", " 1\n", " D1_TEST05_01.csv\n", " \n", @@ -1499,29 +1456,29 @@ "" ], "text/plain": [ - " Mean Max Peak (Pm) Peak-to-Peak (Pk) RMS Variance \\\n", - "0 4.935794e-09 0.585829 0.662631 1.248459 0.136270 0.018570 \n", - "1 1.067043e-07 0.714321 0.714321 1.299298 0.145572 0.021191 \n", - "2 1.970669e-08 0.727873 0.727873 1.433374 0.165007 0.027227 \n", - "3 4.640080e-08 0.637569 0.637569 1.151230 0.120908 0.014619 \n", - "4 2.748839e-08 0.557143 0.585244 1.142387 0.131440 0.017277 \n", + " Mean Max Peak (Pm) Peak-to-Peak (Pk) RMS Variance \\\n", + "0 0.108612 0.662631 0.662631 0.662630 0.136270 0.006773 \n", + "1 0.116239 0.714321 0.714321 0.714317 0.145572 0.007680 \n", + "2 0.131694 0.727873 0.727873 0.727872 0.165007 0.009884 \n", + "3 0.096616 0.637569 0.637569 0.637568 0.120908 0.005284 \n", + "4 0.104772 0.585244 0.585244 0.585243 0.131440 0.006299 \n", "\n", - " Standard Deviation Power Crest Factor Form Factor Pulse Indicator \\\n", - "0 0.136270 0.018570 4.862622 2.760857e+07 1.342500e+08 \n", - "1 0.145573 0.021191 4.906977 1.364261e+06 6.694397e+06 \n", - "2 0.165007 0.027227 4.411165 8.373141e+06 3.693530e+07 \n", - "3 0.120908 0.014619 5.273175 2.605731e+06 1.374047e+07 \n", - "4 0.131441 0.017277 4.452549 4.781666e+06 2.129060e+07 \n", + " Standard Deviation Power Crest Factor Form Factor Pulse Indicator \\\n", + "0 0.082298 0.018570 4.862622 1.254652 6.100898 \n", + "1 0.087635 0.021191 4.906977 1.252353 6.145269 \n", + "2 0.099419 0.027227 4.411165 1.252961 5.527016 \n", + "3 0.072692 0.014619 5.273175 1.251430 6.599010 \n", + "4 0.079369 0.017277 4.452549 1.254534 5.585875 \n", "\n", " Margin Kurtosis Skewness label filename \n", - "0 2.184954 3.022962 0.001296 1 D1_TEST01_01.csv \n", - "1 2.275554 2.989606 0.001670 1 D1_TEST02_01.csv \n", - "2 2.179280 2.981290 -0.006939 1 D1_TEST03_01.csv \n", - "3 2.226964 2.982686 -0.004422 1 D1_TEST04_01.csv \n", - "4 1.964987 3.015813 -0.000659 1 D1_TEST05_01.csv " + "0 2.184954 3.919855 1.007743 1 D1_TEST01_01.csv \n", + "1 2.275554 3.858732 0.990051 1 D1_TEST02_01.csv \n", + "2 2.179280 3.811491 0.982200 1 D1_TEST03_01.csv \n", + "3 2.226964 3.853757 0.988461 1 D1_TEST04_01.csv \n", + "4 1.964987 3.896190 1.002987 1 D1_TEST05_01.csv " ] }, - "execution_count": 27, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -1532,7 +1489,43 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Assuming your DataFrame is named 'df'\n", + "\n", + "# Subsetting the DataFrame to include only the first 3 columns and the label\n", + "subset_df = df1[['Mean', 'Max', 'Peak (Pm)', 'label']]\n", + "\n", + "# Plotting the pairplot\n", + "g = sns.pairplot(subset_df, hue='label', diag_kind='kde')\n", + "\n", + "# Adjusting the axis limits\n", + "# for ax in g.axes.flatten():\n", + "# ax.set_xlim(-10, 10) # Adjust these limits based on your data\n", + "# ax.set_ylim(-10, 10) # Adjust these limits based on your data\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -1577,96 +1570,96 @@ " \n", " \n", " 0\n", - " -1.486070e-08\n", + " 0.101568\n", " 0.591815\n", " 0.591815\n", - " 1.169582\n", - " 0.127311\n", - " 0.016208\n", + " 0.591812\n", " 0.127311\n", + " 0.005892\n", + " 0.076758\n", " 0.016208\n", " 4.648594\n", - " -8.566929e+06\n", - " -3.982418e+07\n", + " 1.253446\n", + " 5.826763\n", " 2.016939\n", - " 3.024201\n", - " 0.007425\n", + " 3.959306\n", + " 1.011796\n", " 1\n", " D1_TEST1_02.csv\n", " \n", " \n", " 1\n", - " -1.724184e-08\n", + " 0.113565\n", " 0.698873\n", " 0.698873\n", - " 1.316940\n", + " 0.698872\n", " 0.142286\n", - " 0.020245\n", - " 0.142287\n", + " 0.007348\n", + " 0.085722\n", " 0.020245\n", " 4.911735\n", - " -8.252383e+06\n", - " -4.053352e+07\n", + " 1.252901\n", + " 6.153917\n", " 2.252893\n", - " 3.006112\n", - " 0.002046\n", + " 3.912502\n", + " 0.999168\n", " 1\n", " D1_TEST2_02.csv\n", " \n", " \n", " 2\n", - " -4.119709e-09\n", + " 0.142065\n", " 0.929253\n", " 0.929253\n", - " 1.766297\n", + " 0.929249\n", " 0.178372\n", - " 0.031817\n", - " 0.178373\n", + " 0.011634\n", + " 0.107862\n", " 0.031817\n", " 5.209621\n", - " -4.329735e+07\n", - " -2.255628e+08\n", + " 1.255567\n", + " 6.541026\n", " 2.679407\n", - " 3.059552\n", - " -0.009642\n", + " 4.034123\n", + " 1.030690\n", " 1\n", " D1_TEST3_02.csv\n", " \n", " \n", " 3\n", - " -1.193488e-08\n", - " 0.707527\n", + " 0.127155\n", " 0.755228\n", - " 1.462755\n", + " 0.755228\n", + " 0.755227\n", " 0.159310\n", - " 0.025380\n", - " 0.159311\n", + " 0.009211\n", + " 0.095975\n", " 0.025380\n", " 4.740612\n", - " -1.334829e+07\n", - " -6.327906e+07\n", + " 1.252878\n", + " 5.939409\n", " 2.301373\n", - " 2.986904\n", - " 0.014360\n", + " 3.847391\n", + " 0.984122\n", " 1\n", " D1_TEST4_02.csv\n", " \n", " \n", " 4\n", - " 7.395536e-09\n", + " 0.112825\n", " 0.692015\n", " 0.692015\n", - " 1.344371\n", + " 0.692014\n", " 0.141284\n", - " 0.019961\n", - " 0.141285\n", + " 0.007232\n", + " 0.085040\n", " 0.019961\n", " 4.898028\n", - " 1.910400e+07\n", - " 9.357193e+07\n", + " 1.252242\n", + " 6.133517\n", " 2.236725\n", - " 2.996804\n", - " 0.003472\n", + " 3.876864\n", + " 0.997859\n", " 1\n", " D1_TEST5_02.csv\n", " \n", @@ -1675,29 +1668,29 @@ "" ], "text/plain": [ - " Mean Max Peak (Pm) Peak-to-Peak (Pk) RMS Variance \\\n", - "0 -1.486070e-08 0.591815 0.591815 1.169582 0.127311 0.016208 \n", - "1 -1.724184e-08 0.698873 0.698873 1.316940 0.142286 0.020245 \n", - "2 -4.119709e-09 0.929253 0.929253 1.766297 0.178372 0.031817 \n", - "3 -1.193488e-08 0.707527 0.755228 1.462755 0.159310 0.025380 \n", - "4 7.395536e-09 0.692015 0.692015 1.344371 0.141284 0.019961 \n", + " Mean Max Peak (Pm) Peak-to-Peak (Pk) RMS Variance \\\n", + "0 0.101568 0.591815 0.591815 0.591812 0.127311 0.005892 \n", + "1 0.113565 0.698873 0.698873 0.698872 0.142286 0.007348 \n", + "2 0.142065 0.929253 0.929253 0.929249 0.178372 0.011634 \n", + "3 0.127155 0.755228 0.755228 0.755227 0.159310 0.009211 \n", + "4 0.112825 0.692015 0.692015 0.692014 0.141284 0.007232 \n", "\n", - " Standard Deviation Power Crest Factor Form Factor Pulse Indicator \\\n", - "0 0.127311 0.016208 4.648594 -8.566929e+06 -3.982418e+07 \n", - "1 0.142287 0.020245 4.911735 -8.252383e+06 -4.053352e+07 \n", - "2 0.178373 0.031817 5.209621 -4.329735e+07 -2.255628e+08 \n", - "3 0.159311 0.025380 4.740612 -1.334829e+07 -6.327906e+07 \n", - "4 0.141285 0.019961 4.898028 1.910400e+07 9.357193e+07 \n", + " Standard Deviation Power Crest Factor Form Factor Pulse Indicator \\\n", + "0 0.076758 0.016208 4.648594 1.253446 5.826763 \n", + "1 0.085722 0.020245 4.911735 1.252901 6.153917 \n", + "2 0.107862 0.031817 5.209621 1.255567 6.541026 \n", + "3 0.095975 0.025380 4.740612 1.252878 5.939409 \n", + "4 0.085040 0.019961 4.898028 1.252242 6.133517 \n", "\n", " Margin Kurtosis Skewness label filename \n", - "0 2.016939 3.024201 0.007425 1 D1_TEST1_02.csv \n", - "1 2.252893 3.006112 0.002046 1 D1_TEST2_02.csv \n", - "2 2.679407 3.059552 -0.009642 1 D1_TEST3_02.csv \n", - "3 2.301373 2.986904 0.014360 1 D1_TEST4_02.csv \n", - "4 2.236725 2.996804 0.003472 1 D1_TEST5_02.csv " + "0 2.016939 3.959306 1.011796 1 D1_TEST1_02.csv \n", + "1 2.252893 3.912502 0.999168 1 D1_TEST2_02.csv \n", + "2 2.679407 4.034123 1.030690 1 D1_TEST3_02.csv \n", + "3 2.301373 3.847391 0.984122 1 D1_TEST4_02.csv \n", + "4 2.236725 3.876864 0.997859 1 D1_TEST5_02.csv " ] }, - "execution_count": 30, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -1706,6 +1699,42 @@ "df2.head()" ] }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Assuming your DataFrame is named 'df'\n", + "\n", + "# Subsetting the DataFrame to include only the first 3 columns and the label\n", + "subset_df = df2[['Mean', 'Max', 'Standard Deviation', 'Kurtosis', 'label']]\n", + "\n", + "# Plotting the pairplot\n", + "g = sns.pairplot(subset_df, hue='label', diag_kind='kde')\n", + "\n", + "# Adjusting the axis limits\n", + "# for ax in g.axes.flatten():\n", + "# ax.set_xlim(-10, 10) # Adjust these limits based on your data\n", + "# ax.set_ylim(-10, 10) # Adjust these limits based on your data\n", + "\n", + "plt.show()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1715,7 +1744,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -1759,362 +1788,362 @@ " \n", " \n", " 0\n", - " -3.010802\n", - " 1.010219\n", + " 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0.808634\n", + " 0.899241\n", " 0.808469\n", " 1.094039\n", - " -0.759990\n", - " -0.831459\n", + " 1.000058\n", + " 1.094103\n", " 1.037168\n", - " 1.005516\n", - " 0.134629\n", + " 1.013753\n", + " 1.013063\n", " 2\n", " \n", " \n", " 8\n", - " 0.102161\n", - " 1.073597\n", + " 1.080898\n", " 0.946300\n", - " 0.956626\n", - " 1.079790\n", - " 1.165946\n", + " 0.946300\n", + " 0.946301\n", " 1.079790\n", + " 1.161755\n", + " 1.077847\n", " 1.165946\n", " 0.876375\n", - " 10.569451\n", - " 9.262799\n", + " 0.998975\n", + " 0.875476\n", " 0.909751\n", - " 0.993170\n", - " -0.069332\n", + " 0.985727\n", + " 0.991287\n", " 2\n", " \n", " \n", " 9\n", - " 1.526443\n", + " 0.944096\n", " 0.943807\n", " 0.943807\n", - " 0.938031\n", - " 0.942285\n", - " 0.887901\n", + " 0.943804\n", " 0.942285\n", + " 0.881944\n", + " 0.939119\n", " 0.887901\n", " 1.001614\n", - " 0.617308\n", - " 0.618305\n", + " 0.998082\n", + " 0.999694\n", " 0.970693\n", - " 0.991134\n", - " -0.968885\n", + " 0.991255\n", + " 0.987474\n", " 2\n", " \n", " \n", " 10\n", - " -2.013554\n", - " 0.747716\n", + " 0.756117\n", " 0.799513\n", - " 0.790693\n", - " 0.756546\n", - " 0.572362\n", + " 0.799513\n", + " 0.799512\n", " 0.756546\n", + " 0.573506\n", + " 0.757302\n", " 0.572362\n", " 1.056794\n", - " -0.375727\n", - " -0.397066\n", + " 1.000568\n", + " 1.057394\n", " 0.919629\n", - " 1.003629\n", - " 26.490216\n", + " 1.006197\n", + " 1.005288\n", " 3\n", " \n", " \n", " 11\n", - " -0.220474\n", + " 0.867718\n", " 0.788298\n", " 0.788298\n", - " 0.817686\n", - " 0.869424\n", - " 0.755898\n", + " 0.788300\n", " 0.869424\n", + " 0.761147\n", + " 0.872437\n", " 0.755898\n", " 0.906690\n", - " -3.943428\n", - " -3.575467\n", + " 1.001966\n", + " 0.908472\n", " 0.847056\n", - " 1.001867\n", - " -0.509132\n", + " 0.986786\n", + " 0.997954\n", " 3\n", " \n", " \n", " 12\n", - " 3.207781\n", + " 1.220349\n", " 1.261104\n", " 1.261104\n", - " 1.206027\n", - " 1.220838\n", - " 1.490446\n", + " 1.261103\n", " 1.220838\n", + " 1.492536\n", + " 1.221694\n", " 1.490446\n", " 1.032982\n", - " 0.380587\n", - " 0.393139\n", + " 1.000401\n", + " 1.033397\n", " 1.141887\n", - " 0.994594\n", - " 1.053608\n", + " 0.978783\n", + " 0.988556\n", " 3\n", " \n", " \n", " 13\n", - " 1.284738\n", - " 0.963071\n", + " 0.996531\n", " 1.071168\n", - " 1.028268\n", - " 0.997275\n", - " 0.994557\n", + " 1.071168\n", + " 1.071171\n", " 0.997275\n", + " 0.997152\n", + " 0.998575\n", " 0.994557\n", " 1.074095\n", - " 0.776248\n", - " 0.833764\n", + " 1.000747\n", + " 1.074897\n", " 1.073352\n", - " 1.006766\n", - " -0.438087\n", + " 1.015466\n", + " 1.010269\n", " 3\n", " \n", " \n", " 14\n", - " -0.143337\n", - " 0.862929\n", + " 0.890329\n", " 0.823938\n", - " 0.842103\n", - " 0.890489\n", - " 0.792971\n", + " 0.823938\n", + " 0.823939\n", " 0.890489\n", + " 0.793473\n", + " 0.890771\n", " 0.792971\n", " 0.925265\n", - " -6.212558\n", - " -5.748261\n", + " 1.000180\n", + " 0.925432\n", " 0.873393\n", - " 0.997222\n", - " 0.142521\n", + " 0.989132\n", + " 0.994206\n", " 3\n", " \n", " \n", " 15\n", - " 0.191438\n", - " 0.713677\n", + " 0.758701\n", + " 0.739822\n", + " 0.739822\n", " 0.739822\n", - " 0.741078\n", - " 0.758374\n", - " 0.575132\n", " 0.758374\n", + " 0.574263\n", + " 0.757802\n", " 0.575132\n", " 0.975537\n", - " 3.961455\n", - " 3.864544\n", + " 0.999570\n", + " 0.975117\n", " 0.849569\n", - " 0.994114\n", - " 0.091464\n", + " 0.989490\n", + " 0.986524\n", " 4\n", " \n", " \n", " 16\n", - " -1.358174\n", + " 0.944772\n", " 0.959586\n", " 0.959586\n", - " 0.966743\n", - " 0.943046\n", - " 0.889336\n", + " 0.959592\n", " 0.943046\n", + " 0.883677\n", + " 0.940041\n", " 0.889336\n", " 1.017539\n", - " -0.694348\n", - " -0.706527\n", + " 0.998173\n", + " 1.015680\n", " 0.986592\n", - " 0.990509\n", - " -4.179830\n", + " 0.987029\n", + " 0.987127\n", " 4\n", " \n", " \n", " 17\n", - " 0.831066\n", - " 1.082640\n", + " 1.108766\n", " 1.041463\n", - " 1.039438\n", - " 1.109032\n", - " 1.229952\n", + " 1.041463\n", + " 1.041462\n", " 1.109032\n", + " 1.230987\n", + " 1.109498\n", " 1.229952\n", " 0.939074\n", - " 1.334469\n", - " 1.253166\n", + " 1.000239\n", + " 0.939299\n", " 0.989088\n", - " 1.002334\n", - " 0.511734\n", + " 1.002203\n", + " 1.006088\n", " 4\n", " \n", " \n", " 18\n", - " -0.771005\n", + " 1.080136\n", " 1.134937\n", " 1.134937\n", - " 1.110810\n", - " 1.082871\n", - " 1.172609\n", + " 1.134938\n", " 1.082871\n", + " 1.182981\n", + " 1.087649\n", " 1.172609\n", " 1.048082\n", - " -1.404492\n", - " -1.472022\n", + " 1.002532\n", + " 1.050735\n", " 1.093027\n", - " 1.012815\n", - " 4.189957\n", + " 1.016087\n", + " 1.017761\n", " 4\n", " \n", " \n", " 19\n", - " -0.425698\n", - " 0.865799\n", + " 0.887666\n", " 0.910855\n", - " 0.894881\n", - " 0.887439\n", - " 0.787548\n", + " 0.910855\n", + " 0.910859\n", " 0.887439\n", + " 0.786843\n", + " 0.887042\n", " 0.787548\n", " 1.026386\n", - " -2.084668\n", - " -2.139673\n", + " 0.999744\n", + " 1.026123\n", " 0.966795\n", - " 0.996003\n", - " -1.140882\n", + " 0.990886\n", + " 0.991993\n", " 4\n", " \n", " \n", @@ -2123,95 +2152,95 @@ ], "text/plain": [ " Mean_rel Max_rel Peak (Pm)_rel Peak-to-Peak (Pk)_rel RMS_rel \\\n", - "0 -3.010802 1.010219 0.893130 0.936820 0.934251 \n", - "1 -0.161585 0.978373 0.978373 1.013578 0.977426 \n", - "2 -0.209051 1.276670 1.276670 1.232265 1.081000 \n", - "3 -0.257213 1.109726 1.184543 1.270602 1.317615 \n", - "4 0.269042 1.242078 1.182437 1.176809 1.074894 \n", - "5 0.747955 0.787903 0.745502 0.765961 0.825881 \n", - "6 -0.505431 0.865469 0.866102 0.865799 0.860995 \n", - "7 -1.183106 1.029745 0.983704 0.960919 0.899149 \n", - "8 0.102161 1.073597 0.946300 0.956626 1.079790 \n", - "9 1.526443 0.943807 0.943807 0.938031 0.942285 \n", - "10 -2.013554 0.747716 0.799513 0.790693 0.756546 \n", - "11 -0.220474 0.788298 0.788298 0.817686 0.869424 \n", - "12 3.207781 1.261104 1.261104 1.206027 1.220838 \n", - "13 1.284738 0.963071 1.071168 1.028268 0.997275 \n", - "14 -0.143337 0.862929 0.823938 0.842103 0.890489 \n", - "15 0.191438 0.713677 0.739822 0.741078 0.758374 \n", - "16 -1.358174 0.959586 0.959586 0.966743 0.943046 \n", - "17 0.831066 1.082640 1.041463 1.039438 1.109032 \n", - "18 -0.771005 1.134937 1.134937 1.110810 1.082871 \n", - "19 -0.425698 0.865799 0.910855 0.894881 0.887439 \n", + "0 0.935150 0.893130 0.893130 0.893126 0.934251 \n", + "1 0.976998 0.978373 0.978373 0.978378 0.977426 \n", + "2 1.078757 1.276670 1.276670 1.276666 1.081000 \n", + "3 1.316093 1.184543 1.184543 1.184544 1.317615 \n", + "4 1.076861 1.182437 1.182437 1.182438 1.074894 \n", + "5 0.827329 0.745502 0.745502 0.745502 0.825881 \n", + "6 0.858881 0.866102 0.866102 0.866105 0.860995 \n", + "7 0.899097 0.983704 0.983704 0.983701 0.899149 \n", + "8 1.080898 0.946300 0.946300 0.946301 1.079790 \n", + "9 0.944096 0.943807 0.943807 0.943804 0.942285 \n", + "10 0.756117 0.799513 0.799513 0.799512 0.756546 \n", + "11 0.867718 0.788298 0.788298 0.788300 0.869424 \n", + "12 1.220349 1.261104 1.261104 1.261103 1.220838 \n", + "13 0.996531 1.071168 1.071168 1.071171 0.997275 \n", + "14 0.890329 0.823938 0.823938 0.823939 0.890489 \n", + "15 0.758701 0.739822 0.739822 0.739822 0.758374 \n", + "16 0.944772 0.959586 0.959586 0.959592 0.943046 \n", + "17 1.108766 1.041463 1.041463 1.041462 1.109032 \n", + "18 1.080136 1.134937 1.134937 1.134938 1.082871 \n", + "19 0.887666 0.910855 0.910855 0.910859 0.887439 \n", "\n", " Variance_rel Standard Deviation_rel Power_rel Crest Factor_rel \\\n", - "0 0.872825 0.934251 0.872825 0.955985 \n", - "1 0.955361 0.977426 0.955361 1.000970 \n", - "2 1.168561 1.081000 1.168561 1.181008 \n", - "3 1.736111 1.317615 1.736111 0.899005 \n", - "4 1.155396 1.074894 1.155396 1.100050 \n", - "5 0.682080 0.825881 0.682080 0.902674 \n", - "6 0.741312 0.860995 0.741312 1.005932 \n", - "7 0.808469 0.899149 0.808469 1.094039 \n", - "8 1.165946 1.079790 1.165946 0.876375 \n", - "9 0.887901 0.942285 0.887901 1.001614 \n", - "10 0.572362 0.756546 0.572362 1.056794 \n", - "11 0.755898 0.869424 0.755898 0.906690 \n", - "12 1.490446 1.220838 1.490446 1.032982 \n", - "13 0.994557 0.997275 0.994557 1.074095 \n", - "14 0.792971 0.890489 0.792971 0.925265 \n", - "15 0.575132 0.758374 0.575132 0.975537 \n", - "16 0.889336 0.943046 0.889336 1.017539 \n", - "17 1.229952 1.109032 1.229952 0.939074 \n", - "18 1.172609 1.082871 1.172609 1.048082 \n", - "19 0.787548 0.887439 0.787548 1.026386 \n", + "0 0.869898 0.932683 0.872825 0.955985 \n", + "1 0.956830 0.978177 0.955361 1.000970 \n", + "2 1.177063 1.084925 1.168561 1.181008 \n", + "3 1.743196 1.320301 1.736111 0.899005 \n", + "4 1.148020 1.071457 1.155396 1.100050 \n", + "5 0.677945 0.823374 0.682080 0.902674 \n", + "6 0.747701 0.864697 0.741312 1.005932 \n", + "7 0.808634 0.899241 0.808469 1.094039 \n", + "8 1.161755 1.077847 1.165946 0.876375 \n", + "9 0.881944 0.939119 0.887901 1.001614 \n", + "10 0.573506 0.757302 0.572362 1.056794 \n", + "11 0.761147 0.872437 0.755898 0.906690 \n", + "12 1.492536 1.221694 1.490446 1.032982 \n", + "13 0.997152 0.998575 0.994557 1.074095 \n", + "14 0.793473 0.890771 0.792971 0.925265 \n", + "15 0.574263 0.757802 0.575132 0.975537 \n", + "16 0.883677 0.940041 0.889336 1.017539 \n", + "17 1.230987 1.109498 1.229952 0.939074 \n", + "18 1.182981 1.087649 1.172609 1.048082 \n", + "19 0.786843 0.887042 0.787548 1.026386 \n", "\n", " Form Factor_rel Pulse Indicator_rel Margin_rel Kurtosis_rel \\\n", - "0 -0.310300 -0.296642 0.923104 1.000410 \n", - "1 -6.048977 -6.054842 0.990042 1.005521 \n", - "2 -5.170981 -6.106970 1.229492 1.026251 \n", - "3 -5.122667 -4.605304 1.033413 1.001414 \n", - "4 3.995261 4.394987 1.138290 0.993697 \n", - "5 1.104186 0.996720 0.819205 0.983766 \n", - "6 -1.703485 -1.713590 0.935471 1.009325 \n", - "7 -0.759990 -0.831459 1.037168 1.005516 \n", - "8 10.569451 9.262799 0.909751 0.993170 \n", - "9 0.617308 0.618305 0.970693 0.991134 \n", - "10 -0.375727 -0.397066 0.919629 1.003629 \n", - "11 -3.943428 -3.575467 0.847056 1.001867 \n", - "12 0.380587 0.393139 1.141887 0.994594 \n", - "13 0.776248 0.833764 1.073352 1.006766 \n", - "14 -6.212558 -5.748261 0.873393 0.997222 \n", - "15 3.961455 3.864544 0.849569 0.994114 \n", - "16 -0.694348 -0.706527 0.986592 0.990509 \n", - "17 1.334469 1.253166 0.989088 1.002334 \n", - "18 -1.404492 -1.472022 1.093027 1.012815 \n", - "19 -2.084668 -2.139673 0.966795 0.996003 \n", + "0 0.999039 0.955066 0.923104 1.010064 \n", + "1 1.000437 1.001407 0.990042 1.013935 \n", + "2 1.002080 1.183464 1.229492 1.058411 \n", + "3 1.001157 0.900045 1.033413 0.998348 \n", + "4 0.998173 1.098040 1.138290 0.995040 \n", + "5 0.998250 0.901094 0.819205 0.965305 \n", + "6 1.002461 1.008408 0.935471 1.005019 \n", + "7 1.000058 1.094103 1.037168 1.013753 \n", + "8 0.998975 0.875476 0.909751 0.985727 \n", + "9 0.998082 0.999694 0.970693 0.991255 \n", + "10 1.000568 1.057394 0.919629 1.006197 \n", + "11 1.001966 0.908472 0.847056 0.986786 \n", + "12 1.000401 1.033397 1.141887 0.978783 \n", + "13 1.000747 1.074897 1.073352 1.015466 \n", + "14 1.000180 0.925432 0.873393 0.989132 \n", + "15 0.999570 0.975117 0.849569 0.989490 \n", + "16 0.998173 1.015680 0.986592 0.987029 \n", + "17 1.000239 0.939299 0.989088 1.002203 \n", + "18 1.002532 1.050735 1.093027 1.016087 \n", + "19 0.999744 1.026123 0.966795 0.990886 \n", "\n", " Skewness_rel label \n", - "0 5.730242 1 \n", - "1 1.225240 1 \n", - "2 1.389598 1 \n", - "3 -3.247222 1 \n", - "4 -5.269199 1 \n", - "5 -0.744981 2 \n", - "6 -3.839274 2 \n", - "7 0.134629 2 \n", - "8 -0.069332 2 \n", - "9 -0.968885 2 \n", - "10 26.490216 3 \n", - "11 -0.509132 3 \n", - "12 1.053608 3 \n", - "13 -0.438087 3 \n", - "14 0.142521 3 \n", - "15 0.091464 4 \n", - "16 -4.179830 4 \n", - "17 0.511734 4 \n", - "18 4.189957 4 \n", - "19 -1.140882 4 " + "0 1.004021 1 \n", + "1 1.009208 1 \n", + "2 1.049368 1 \n", + "3 0.995610 1 \n", + "4 0.994886 1 \n", + "5 0.974424 2 \n", + "6 1.011362 2 \n", + "7 1.013063 2 \n", + "8 0.991287 2 \n", + "9 0.987474 2 \n", + "10 1.005288 3 \n", + "11 0.997954 3 \n", + "12 0.988556 3 \n", + "13 1.010269 3 \n", + "14 0.994206 3 \n", + "15 0.986524 4 \n", + "16 0.987127 4 \n", + "17 1.006088 4 \n", + "18 1.017761 4 \n", + "19 0.991993 4 " ] }, - "execution_count": 32, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -2243,12 +2272,12 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -2270,9 +2299,9 @@ "g = sns.pairplot(subset_df, hue='label', diag_kind='kde')\n", "\n", "# Adjusting the axis limits\n", - "for ax in g.axes.flatten():\n", - " ax.set_xlim(-10, 10) # Adjust these limits based on your data\n", - " ax.set_ylim(-10, 10) # Adjust these limits based on your data\n", + "# for ax in g.axes.flatten():\n", + "# ax.set_xlim(-10, 10) # Adjust these limits based on your data\n", + "# ax.set_ylim(-10, 10) # Adjust these limits based on your data\n", "\n", "plt.show()" ] diff --git a/code/src/features/time_domain_features.py b/code/src/features/time_domain_features.py index 1ef4ace..f97e0d1 100644 --- a/code/src/features/time_domain_features.py +++ b/code/src/features/time_domain_features.py @@ -36,9 +36,12 @@ class FeatureExtractor: result += f"{feature}: {value:.4f}\n" return result -def ExtractTimeFeatures(object): +def ExtractTimeFeatures(object, absolute): data = pd.read_csv(object, skiprows=1) # Skip the header row separator char info - extractor = FeatureExtractor(data.iloc[:, 1].values) # Assuming the data is in the second column + if absolute: + extractor = FeatureExtractor(np.abs(data.iloc[:, 1].values)) # Assuming the data is in the second column + else: + extractor = FeatureExtractor(data.iloc[:, 1].values) features = extractor.features return features # Save features to a file