{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "91e5d121-4267-4ee7-baaa-3cec3da1f869", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "from collections import namedtuple\n", "\n", "from pathlib import Path" ] }, { "cell_type": "code", "execution_count": 2, "id": "f7c989c6-67e1-4c34-bd08-34d6626cd33a", "metadata": {}, "outputs": [], "source": [ "N_SAMPLES = 1000\n", "SEED = 42\n", "RNG = np.random.default_rng(seed=SEED)\n", "COLS_DUMMY_DATA = ['type', 'problem', 'action']\n", "TOTAL_POSSIBILITY_FAILURES = 0.4\n", "TYPE_MAPPING = {\n", " 'Reguläre Wartung': 'Wartung',\n", " 'Unerwarteter Fehler': 'Störungsmeldung',\n", "}\n", "OBJ_IDS_2_TXT = {\n", " 1: 'Fräsmaschine-FS435X',\n", " 2: 'Schleifmaschine-S4x87',\n", " 3: 'Bohrbearbeitungszentrum-BBZ35',\n", "}\n", "STARTING_DATE = pd.to_datetime('2022-01-01')\n", "ENDING_DATE = pd.to_datetime('2024-08-07')\n", "DATASET_FEATURES = [\n", " 'VorgangsID',\n", " 'ObjektID',\n", " 'HObjektText',\n", " 'VorgangsTypName',\n", " 'VorgangsBeschreibung',\n", " 'ErledigungsBeschreibung',\n", " 'ErstellungsDatum',\n", " 'VorgangsDatum',\n", " 'Arbeitsbeginn',\n", " 'ErledigungsDatum',\n", "]\n", "DF_SKELLETON = {feat: [] for feat in DATASET_FEATURES}" ] }, { "cell_type": "code", "execution_count": 3, "id": "0be70014-4fe0-45dd-8bd5-f731bd12cfe1", "metadata": {}, "outputs": [], "source": [ "source = '../data/Dummy_Data.xlsx'\n", "dest = f'../data/Dummy_Dataset_N_{N_SAMPLES}.csv'\n", "pth_source = Path(source)\n", "pth_dest = Path(dest)\n", "assert pth_source.exists()" ] }, { "cell_type": "code", "execution_count": 4, "id": "193304e9-9db1-4697-ae48-836a716ce80e", "metadata": {}, "outputs": [], "source": [ "def read_dummy_data(pth_data, columns=COLS_DUMMY_DATA):\n", " data = pd.read_excel(pth_data)\n", " data.columns = columns.copy()\n", " \n", " return data" ] }, { "cell_type": "code", "execution_count": 5, "id": "85ac2d6c-4eee-429a-8511-82f39d4e8716", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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typeproblemaction
0Reguläre WartungSchmierung der LagerNachfüllen des Schmiermittels
1Unerwarteter FehlerMotorüberhitzungAustausch des Kühlgebläses
2Reguläre WartungÜberprüfung der HydraulikReinigung und Nachfüllen der Hydraulikflüssigkeit
3Unerwarteter FehlerElektronikfehlerAustausch der defekten Platine
4Reguläre WartungKalibrierung der SensorenJustierung und Test der Sensoren
\n", "
" ], "text/plain": [ " type problem \\\n", "0 Reguläre Wartung Schmierung der Lager \n", "1 Unerwarteter Fehler Motorüberhitzung \n", "2 Reguläre Wartung Überprüfung der Hydraulik \n", "3 Unerwarteter Fehler Elektronikfehler \n", "4 Reguläre Wartung Kalibrierung der Sensoren \n", "\n", " action \n", "0 Nachfüllen des Schmiermittels \n", "1 Austausch des Kühlgebläses \n", "2 Reinigung und Nachfüllen der Hydraulikflüssigkeit \n", "3 Austausch der defekten Platine \n", "4 Justierung und Test der Sensoren " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = read_dummy_data(pth_source)\n", "data.head()" ] }, { "cell_type": "code", "execution_count": 6, "id": "aa6d3af2-31c7-44ee-a3a8-4201b559038f", "metadata": {}, "outputs": [], "source": [ "def make_subset(data, target_type, type_mapping=TYPE_MAPPING):\n", " Entry = namedtuple('ProblemActionPairs', ['type', 'problem', 'action'])\n", " entries = []\n", " data_subset = data.loc[data['type']==target_type,:].copy()\n", "\n", " for row in data_subset.itertuples(index=False):\n", " type_mapped = type_mapping[row.type]\n", " entries.append(Entry(type_mapped, row.problem, row.action))\n", "\n", " return entries" ] }, { "cell_type": "markdown", "id": "79bb0e96-3e04-458e-bbfb-dbd11a5386b9", "metadata": {}, "source": [ "## Activity Types\n", "\n", "- relevant activity types:\n", " - 'Reparaturauftrag (Portal)'\n", " - 'Störungsmeldung'\n", " - 'Wartung'\n", "- ``regular`` --> 'Wartung'\n", "- ``failures`` --> 'Störungsmeldung'" ] }, { "cell_type": "markdown", "id": "2ec7a69d-80a6-4ede-928f-3ad933d3e090", "metadata": {}, "source": [ "### Failures" ] }, { "cell_type": "code", "execution_count": 7, "id": "668c0275-c8d8-4390-8857-a2ada566d786", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[ProblemActionPairs(type='Störungsmeldung', problem='Motorüberhitzung', action='Austausch des Kühlgebläses'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Elektronikfehler', action='Austausch der defekten Platine'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Getriebeausfall', action='Reparatur und Austausch der beschädigten Zahnräder'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Leckage in der Hydraulikleitung', action='Abdichtung der Leckstelle und Nachfüllen der Hydraulikflüssigkeit'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Ausfall der Steuerungseinheit', action='Neustart und Software-Update der Steuerungseinheit'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Bruch eines Zahnriemens', action='Austausch des Zahnriemens'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Kurzschluss im Schaltschrank', action='Austausch der Sicherungen und Kabel'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Vibrationsprobleme am Motor', action='Auswuchten des Motors und Austausch der Dämpfer'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Fehlfunktion der Hydraulikpumpe', action='Austausch der Hydraulikpumpe'),\n", " ProblemActionPairs(type='Störungsmeldung', problem='Bruch eines Förderbands', action='Austausch des Förderbands')]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "failures = make_subset(data, target_type='Unerwarteter Fehler')\n", "failures[:10]" ] }, { "cell_type": "markdown", "id": "4f784dba-5e0a-41aa-9005-3e310fda47cb", "metadata": {}, "source": [ "### Regular Maintenance" ] }, { "cell_type": "code", "execution_count": 8, "id": "d4b8ca4a-4230-463e-bb74-f965b0732155", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[ProblemActionPairs(type='Wartung', problem='Schmierung der Lager', action='Nachfüllen des Schmiermittels'),\n", " ProblemActionPairs(type='Wartung', problem='Überprüfung der Hydraulik', action='Reinigung und Nachfüllen der Hydraulikflüssigkeit'),\n", " ProblemActionPairs(type='Wartung', problem='Kalibrierung der Sensoren', action='Justierung und Test der Sensoren'),\n", " ProblemActionPairs(type='Wartung', problem='Reinigung der Luftfilter', action='Austausch der Luftfilter'),\n", " ProblemActionPairs(type='Wartung', problem='Überprüfung der Sicherheitsvorrichtungen', action='Funktionstest und Justierung der Sicherheitsvorrichtungen'),\n", " ProblemActionPairs(type='Wartung', problem='Inspektion der Förderbänder', action='Einstellung und Austausch abgenutzter Teile'),\n", " ProblemActionPairs(type='Wartung', problem='Überprüfung der Druckventile', action='Reinigung und Einstellung der Druckventile'),\n", " ProblemActionPairs(type='Wartung', problem='Test der Not-Aus-Schalter', action='Test und Austausch defekter Not-Aus-Schalter'),\n", " ProblemActionPairs(type='Wartung', problem='Überprüfung der Kühlmittelsysteme', action='Nachfüllen und Entlüftung des Kühlmittelsystems'),\n", " ProblemActionPairs(type='Wartung', problem='Kontrolle der Lichtschranken', action='Reinigung und Neujustierung der Lichtschranken')]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "regular = make_subset(data, target_type='Reguläre Wartung')\n", "regular[:10]" ] }, { "cell_type": "markdown", "id": "aaf5b6bd-a7bf-4c6b-a969-566cd90d2353", "metadata": {}, "source": [ "## ObjectIDs and HObjektTexts" ] }, { "cell_type": "code", "execution_count": 9, "id": "bf2d380d-4103-40b0-a99d-7770e73a9ef5", "metadata": {}, "outputs": [], "source": [ "def random_objects(mapping, rng, n_samples):\n", " max_val = max(mapping.keys())\n", " rands = rng.integers(1, max_val+1, size=n_samples)\n", "\n", " obj_ids = rands.tolist()\n", " texts =[mapping[obj_id] for obj_id in obj_ids]\n", "\n", " return obj_ids, texts" ] }, { "cell_type": "markdown", "id": "708521a4-a93c-4d29-9be7-19a29fd8aa7d", "metadata": {}, "source": [ "## Random Dates" ] }, { "cell_type": "code", "execution_count": 10, "id": "bff4fc9e-7a61-42df-abcb-1540e2d04b80", "metadata": {}, "outputs": [], "source": [ "def random_dates(start, end, rng, n_samples):\n", "\n", " start_u = start.value//10**9\n", " end_u = end.value//10**9\n", " days_to_finish = rng.exponential(1.3, n_samples).astype(np.int_)\n", " td = pd.to_timedelta(days_to_finish, unit='day')\n", "\n", " creation_dates = pd.to_datetime(rng.integers(start_u, end_u, n_samples), unit='s').normalize()\n", " done_dates = creation_dates + td\n", "\n", " return creation_dates.to_list(), done_dates.to_list()" ] }, { "cell_type": "markdown", "id": "d2a77202-0eb9-4390-89af-e8e60e5a1e34", "metadata": {}, "source": [ "## Random descriptions" ] }, { "cell_type": "markdown", "id": "d360fe54-36f2-4f35-a42c-7ca09a7599c3", "metadata": {}, "source": [ "proportions:\n", "- regular: 0.6\n", "- failure: 0.4" ] }, { "cell_type": "code", "execution_count": 11, "id": "626a290b-a3ee-4c37-a754-b29ecca59f70", "metadata": {}, "outputs": [], "source": [ "def random_descriptions(failures, regular, target_prop_fail, rng, n_samples):\n", " poss_per_entry_fail = target_prop_fail / len(failures)\n", " poss_per_entry_regular = (1 - target_prop_fail) / len(regular)\n", "\n", " failure_possibilities = np.full(len(failures), poss_per_entry_fail)\n", " regular_possibilities = np.full(len(regular), poss_per_entry_regular)\n", " possibilities = np.concatenate((failure_possibilities, regular_possibilities))\n", "\n", " content_descriptions = failures.copy()\n", " content_descriptions.extend(regular.copy())\n", "\n", " return rng.choice(content_descriptions, size=n_samples, p=possibilities)\n", "\n", "def description_parts(descriptions):\n", " types = descriptions[:,0].tolist()\n", " todo = descriptions[:,1].tolist()\n", " dones = descriptions[:,2].tolist()\n", "\n", " return types, todo, dones" ] }, { "cell_type": "code", "execution_count": null, "id": "d8999cba-a460-4f67-901f-b7936f04cd74", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "39f72300-d73b-431f-89ee-af85e7bcdccc", "metadata": {}, "source": [ "# Complete Dataset" ] }, { "cell_type": "code", "execution_count": 12, "id": "8eb838de-d28e-4499-a63a-a708a58e0c6f", "metadata": {}, "outputs": [], "source": [ "def create_dataset(df_skelleton, type_failure, type_regular, starting_date, ending_date, rng, n_samples):\n", " df_dict = df_skelleton.copy()\n", " \n", " failures = make_subset(data, target_type=type_failure)\n", " regular = make_subset(data, target_type=type_regular)\n", " \n", " event_ids = list(range(1,n_samples+1))\n", " obj_ids, txts = random_objects(OBJ_IDS_2_TXT, rng, n_samples)\n", " creation_dates, done_dates = random_dates(starting_date, ending_date, rng, n_samples)\n", " process_date = creation_dates.copy()\n", " done_start_date = done_dates.copy()\n", " descriptions = random_descriptions(failures, regular, TOTAL_POSSIBILITY_FAILURES, rng, n_samples)\n", " types, todo, dones = description_parts(descriptions)\n", "\n", " df_dict.update(\n", " VorgangsID=event_ids,\n", " ObjektID=obj_ids,\n", " HObjektText=txts,\n", " VorgangsTypName=types,\n", " VorgangsBeschreibung=todo,\n", " ErledigungsBeschreibung=dones,\n", " ErstellungsDatum=creation_dates,\n", " VorgangsDatum=process_date,\n", " Arbeitsbeginn=done_start_date,\n", " ErledigungsDatum=done_dates,\n", " )\n", " df = pd.DataFrame.from_dict(df_dict)\n", " df = df.sort_values(by='ErstellungsDatum', ascending=True)\n", " df = df.reset_index(drop=True)\n", " df['VorgangsID'] = event_ids\n", "\n", " return df.copy()" ] }, { "cell_type": "code", "execution_count": 13, "id": "195775b3-e44a-4d80-92bc-799093bd4ef2", "metadata": {}, "outputs": [], "source": [ "df = create_dataset(\n", " df_skelleton=DF_SKELLETON,\n", " type_failure='Unerwarteter Fehler',\n", " type_regular='Reguläre Wartung',\n", " starting_date=STARTING_DATE,\n", " ending_date=ENDING_DATE,\n", " rng=RNG,\n", " n_samples=N_SAMPLES,\n", ")" ] }, { "cell_type": "code", "execution_count": 14, "id": "d3182c98-b57a-4619-aa41-8ab4a90bd1f2", "metadata": {}, "outputs": [ { "data": { "text/html": [ 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VorgangsIDObjektIDHObjektTextVorgangsTypNameVorgangsBeschreibungErledigungsBeschreibungErstellungsDatumVorgangsDatumArbeitsbeginnErledigungsDatum
012Schleifmaschine-S4x87StörungsmeldungÖlleckage durch undichten ÖlsumpfAbdichtung und Austausch des Ölsumpfs2022-01-012022-01-012022-01-012022-01-01
122Schleifmaschine-S4x87WartungÜberprüfung der SchwingungsdämpferAustausch und Justierung der Schwingungsdämpfer2022-01-032022-01-032022-01-032022-01-03
231Fräsmaschine-FS435XWartungÜberprüfung der KühlmittelsystemeNachfüllen und Entlüftung des Kühlmittelsystems2022-01-052022-01-052022-01-052022-01-05
343Bohrbearbeitungszentrum-BBZ35StörungsmeldungBlockierung der FörderschneckeBeseitigung der Blockierung und Überprüfung de...2022-01-062022-01-062022-01-072022-01-07
453Bohrbearbeitungszentrum-BBZ35StörungsmeldungÜberhitzung durch mangelnde KühlmittelzirkulationReinigung der Leitungen und Austausch des Kühl...2022-01-062022-01-062022-01-092022-01-09
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9959961Fräsmaschine-FS435XWartungTest der Not-Aus-SchalterTest und Austausch defekter Not-Aus-Schalter2024-08-032024-08-032024-08-032024-08-03
9969972Schleifmaschine-S4x87StörungsmeldungFehlfunktion der HydraulikpumpeAustausch der Hydraulikpumpe2024-08-052024-08-052024-08-062024-08-06
9979983Bohrbearbeitungszentrum-BBZ35WartungKalibrierung der SensorenJustierung und Test der Sensoren2024-08-052024-08-052024-08-072024-08-07
9989992Schleifmaschine-S4x87WartungÜberprüfung der HydraulikzylinderNachjustierung und Schmierung der Hydraulikzyl...2024-08-052024-08-052024-08-052024-08-05
99910002Schleifmaschine-S4x87WartungInspektion der SchutzabdeckungenReparatur und Austausch beschädigter Abdeckungen2024-08-062024-08-062024-08-072024-08-07
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1000 rows × 10 columns

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" ], "text/plain": [ " VorgangsID ObjektID HObjektText VorgangsTypName \\\n", "0 1 2 Schleifmaschine-S4x87 Störungsmeldung \n", "1 2 2 Schleifmaschine-S4x87 Wartung \n", "2 3 1 Fräsmaschine-FS435X Wartung \n", "3 4 3 Bohrbearbeitungszentrum-BBZ35 Störungsmeldung \n", "4 5 3 Bohrbearbeitungszentrum-BBZ35 Störungsmeldung \n", ".. ... ... ... ... \n", "995 996 1 Fräsmaschine-FS435X Wartung \n", "996 997 2 Schleifmaschine-S4x87 Störungsmeldung \n", "997 998 3 Bohrbearbeitungszentrum-BBZ35 Wartung \n", "998 999 2 Schleifmaschine-S4x87 Wartung \n", "999 1000 2 Schleifmaschine-S4x87 Wartung \n", "\n", " VorgangsBeschreibung \\\n", "0 Ölleckage durch undichten Ölsumpf \n", "1 Überprüfung der Schwingungsdämpfer \n", "2 Überprüfung der Kühlmittelsysteme \n", "3 Blockierung der Förderschnecke \n", "4 Überhitzung durch mangelnde Kühlmittelzirkulation \n", ".. ... \n", "995 Test der Not-Aus-Schalter \n", "996 Fehlfunktion der Hydraulikpumpe \n", "997 Kalibrierung der Sensoren \n", "998 Überprüfung der Hydraulikzylinder \n", "999 Inspektion der Schutzabdeckungen \n", "\n", " ErledigungsBeschreibung ErstellungsDatum \\\n", "0 Abdichtung und Austausch des Ölsumpfs 2022-01-01 \n", "1 Austausch und Justierung der Schwingungsdämpfer 2022-01-03 \n", "2 Nachfüllen und Entlüftung des Kühlmittelsystems 2022-01-05 \n", "3 Beseitigung der Blockierung und Überprüfung de... 2022-01-06 \n", "4 Reinigung der Leitungen und Austausch des Kühl... 2022-01-06 \n", ".. ... ... \n", "995 Test und Austausch defekter Not-Aus-Schalter 2024-08-03 \n", "996 Austausch der Hydraulikpumpe 2024-08-05 \n", "997 Justierung und Test der Sensoren 2024-08-05 \n", "998 Nachjustierung und Schmierung der Hydraulikzyl... 2024-08-05 \n", "999 Reparatur und Austausch beschädigter Abdeckungen 2024-08-06 \n", "\n", " VorgangsDatum Arbeitsbeginn ErledigungsDatum \n", "0 2022-01-01 2022-01-01 2022-01-01 \n", "1 2022-01-03 2022-01-03 2022-01-03 \n", "2 2022-01-05 2022-01-05 2022-01-05 \n", "3 2022-01-06 2022-01-07 2022-01-07 \n", "4 2022-01-06 2022-01-09 2022-01-09 \n", ".. ... ... ... \n", "995 2024-08-03 2024-08-03 2024-08-03 \n", "996 2024-08-05 2024-08-06 2024-08-06 \n", "997 2024-08-05 2024-08-07 2024-08-07 \n", "998 2024-08-05 2024-08-05 2024-08-05 \n", "999 2024-08-06 2024-08-07 2024-08-07 \n", "\n", "[1000 rows x 10 columns]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "code", "execution_count": 15, "id": "2bb03fdb-ea45-46a1-81b4-525f7568355c", "metadata": {}, "outputs": [], "source": [ "# df.to_excel(pth_dest)" ] }, { "cell_type": "code", "execution_count": 16, "id": "ff9f6f80-b709-4011-89fe-90c8812d7e7b", "metadata": {}, "outputs": [], "source": [ "df.to_csv(pth_dest, sep=';', encoding='cp1252', index=False, date_format='%d.%m.%Y')" ] }, { "cell_type": "code", "execution_count": null, "id": "e2871889-f128-419c-8e89-d8eb48ceb2e1", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "cdba82ad-d4d1-4266-ad41-8d90bb059956", "metadata": {}, "source": [ "# Check processed data" ] }, { "cell_type": "code", "execution_count": 17, "id": "af26cd9b-e5d1-46e1-b269-ac46de10dfe2", "metadata": {}, "outputs": [], "source": [ "pth_to_data = '../scripts/results/dummy_N_1000/'\n", "pth_to_data = Path(pth_to_data)" ] }, { "cell_type": "code", "execution_count": 29, "id": "c7338787-716c-43c0-9d11-03567459f594", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[WindowsPath('../scripts/results/dummy_N_1000/Pipe-TargetFeature_Step-3_remove_NA.pkl'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TIMELINE.pkl'),\n", " WindowsPath('../scripts/results/dummy_N_1000/Pipe-TargetFeature_Step-5_analyse_feature.pkl'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TOKEN_ANALYSIS.pkl'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TK-GRAPH_POSTPROCESSING.pkl'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TokenGraph.graphml'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TK-GRAPH_ANALYSIS.pkl'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TokenGraph-filtered.graphml'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TK-GRAPH_ANALYSIS_RESCALED.pkl'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TokenGraph-directed-rescaled.graphml'),\n", " WindowsPath('../scripts/results/dummy_N_1000/TokenGraph-undirected-rescaled.graphml'),\n", " WindowsPath('../scripts/results/dummy_N_1000/token_graph.svg'),\n", " WindowsPath('../scripts/results/dummy_N_1000/token_graph_sub_1.svg'),\n", " WindowsPath('../scripts/results/dummy_N_1000/token_graph_sub_2.svg'),\n", " WindowsPath('../scripts/results/dummy_N_1000/token_graph_sub_3.svg'),\n", " WindowsPath('../scripts/results/dummy_N_1000/token_graph_sub_4.svg'),\n", " WindowsPath('../scripts/results/dummy_N_1000/token_graph_sub_5.svg'),\n", " WindowsPath('../scripts/results/dummy_N_1000/Pipe-Graph_Static-Rendering_Step-6_build_subnetworks.pkl')]" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "files = list(pth_to_data.glob(r'*'))\n", "files" ] }, { "cell_type": "code", "execution_count": 22, "id": "1dd0da25-9097-46a1-bac8-dce281e17c5b", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "A:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\transformers\\utils\\generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.\n", " _torch_pytree._register_pytree_node(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "2024-08-07 13:37:19 +0000 | lang_main:io:INFO | Loaded TOML config file successfully.\n" ] } ], "source": [ "from lang_main import io" ] }, { "cell_type": "code", "execution_count": 30, "id": "33ae3e52-f638-40a0-b243-6578cde52a19", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "WindowsPath('../scripts/results/dummy_N_1000/TIMELINE.pkl')" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "files[1]" ] }, { "cell_type": "code", "execution_count": 33, "id": "fc598842-f218-4895-8d1e-20b09f9e6d12", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2024-08-07 13:51:31 +0000 | lang_main:io:INFO | Loaded file successfully.\n" ] } ], "source": [ "(data,) = io.load_pickle(files[1])" ] }, { "cell_type": "code", "execution_count": 34, "id": "3cbffa6c-4199-4a9f-b041-3c34fdbc7266", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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VorgangsIDObjektIDHObjektTextVorgangsTypNameVorgangsBeschreibungErledigungsBeschreibungErstellungsDatumVorgangsDatumArbeitsbeginnErledigungsDatum
012Schleifmaschine-S4x87StörungsmeldungÖlleckage durch undichten ÖlsumpfAbdichtung und Austausch des Ölsumpfs2022-01-012022-01-012022-01-012022-01-01
122Schleifmaschine-S4x87WartungÜberprüfung der SchwingungsdämpferAustausch und Justierung der Schwingungsdämpfer2022-01-032022-01-032022-01-032022-01-03
231Fräsmaschine-FS435XWartungÜberprüfung der KühlmittelsystemeNachfüllen und Entlüftung des Kühlmittelsystems2022-01-052022-01-052022-01-052022-01-05
343Bohrbearbeitungszentrum-BBZ35StörungsmeldungBlockierung der FörderschneckeBeseitigung der Blockierung und Überprüfung de...2022-01-062022-01-062022-01-072022-01-07
453Bohrbearbeitungszentrum-BBZ35StörungsmeldungÜberhitzung durch mangelnde KühlmittelzirkulationReinigung der Leitungen und Austausch des Kühl...2022-01-062022-01-062022-01-092022-01-09
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9959961Fräsmaschine-FS435XWartungTest der Not-Aus-SchalterTest und Austausch defekter Not-Aus-Schalter2024-08-032024-08-032024-08-032024-08-03
9969972Schleifmaschine-S4x87StörungsmeldungFehlfunktion der HydraulikpumpeAustausch der Hydraulikpumpe2024-08-052024-08-052024-08-062024-08-06
9979983Bohrbearbeitungszentrum-BBZ35WartungKalibrierung der SensorenJustierung und Test der Sensoren2024-08-052024-08-052024-08-072024-08-07
9989992Schleifmaschine-S4x87WartungÜberprüfung der HydraulikzylinderNachjustierung und Schmierung der Hydraulikzyl...2024-08-052024-08-052024-08-052024-08-05
99910002Schleifmaschine-S4x87WartungInspektion der SchutzabdeckungenReparatur und Austausch beschädigter Abdeckungen2024-08-062024-08-062024-08-072024-08-07
\n", "

1000 rows × 10 columns

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" ], "text/plain": [ " VorgangsID ObjektID HObjektText VorgangsTypName \\\n", "0 1 2 Schleifmaschine-S4x87 Störungsmeldung \n", "1 2 2 Schleifmaschine-S4x87 Wartung \n", "2 3 1 Fräsmaschine-FS435X Wartung \n", "3 4 3 Bohrbearbeitungszentrum-BBZ35 Störungsmeldung \n", "4 5 3 Bohrbearbeitungszentrum-BBZ35 Störungsmeldung \n", ".. ... ... ... ... \n", "995 996 1 Fräsmaschine-FS435X Wartung \n", "996 997 2 Schleifmaschine-S4x87 Störungsmeldung \n", "997 998 3 Bohrbearbeitungszentrum-BBZ35 Wartung \n", "998 999 2 Schleifmaschine-S4x87 Wartung \n", "999 1000 2 Schleifmaschine-S4x87 Wartung \n", "\n", " VorgangsBeschreibung \\\n", "0 Ölleckage durch undichten Ölsumpf \n", "1 Überprüfung der Schwingungsdämpfer \n", "2 Überprüfung der Kühlmittelsysteme \n", "3 Blockierung der Förderschnecke \n", "4 Überhitzung durch mangelnde Kühlmittelzirkulation \n", ".. ... \n", "995 Test der Not-Aus-Schalter \n", "996 Fehlfunktion der Hydraulikpumpe \n", "997 Kalibrierung der Sensoren \n", "998 Überprüfung der Hydraulikzylinder \n", "999 Inspektion der Schutzabdeckungen \n", "\n", " ErledigungsBeschreibung ErstellungsDatum \\\n", "0 Abdichtung und Austausch des Ölsumpfs 2022-01-01 \n", "1 Austausch und Justierung der Schwingungsdämpfer 2022-01-03 \n", "2 Nachfüllen und Entlüftung des Kühlmittelsystems 2022-01-05 \n", "3 Beseitigung der Blockierung und Überprüfung de... 2022-01-06 \n", "4 Reinigung der Leitungen und Austausch des Kühl... 2022-01-06 \n", ".. ... ... \n", "995 Test und Austausch defekter Not-Aus-Schalter 2024-08-03 \n", "996 Austausch der Hydraulikpumpe 2024-08-05 \n", "997 Justierung und Test der Sensoren 2024-08-05 \n", "998 Nachjustierung und Schmierung der Hydraulikzyl... 2024-08-05 \n", "999 Reparatur und Austausch beschädigter Abdeckungen 2024-08-06 \n", "\n", " VorgangsDatum Arbeitsbeginn ErledigungsDatum \n", "0 2022-01-01 2022-01-01 2022-01-01 \n", "1 2022-01-03 2022-01-03 2022-01-03 \n", "2 2022-01-05 2022-01-05 2022-01-05 \n", "3 2022-01-06 2022-01-07 2022-01-07 \n", "4 2022-01-06 2022-01-09 2022-01-09 \n", ".. ... ... ... \n", "995 2024-08-03 2024-08-03 2024-08-03 \n", "996 2024-08-05 2024-08-06 2024-08-06 \n", "997 2024-08-05 2024-08-07 2024-08-07 \n", "998 2024-08-05 2024-08-05 2024-08-05 \n", "999 2024-08-06 2024-08-07 2024-08-07 \n", "\n", "[1000 rows x 10 columns]" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data" ] }, { "cell_type": "code", "execution_count": 35, "id": "fd422d51-6118-47aa-80a1-6e80819a3205", "metadata": {}, "outputs": [], "source": [ "t = data.copy()" ] }, { "cell_type": "code", "execution_count": 37, "id": "4225af01-b9df-4b27-aae2-b06257b0dd3a", "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "Can only use .dt accessor with datetimelike values", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[1;32mIn[37], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mt\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mErledigungsDatum\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdt\u001b[49m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\generic.py:6299\u001b[0m, in \u001b[0;36mNDFrame.__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m 6292\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[0;32m 6293\u001b[0m name \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_internal_names_set\n\u001b[0;32m 6294\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m name \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_metadata\n\u001b[0;32m 6295\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m name \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_accessors\n\u001b[0;32m 6296\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_info_axis\u001b[38;5;241m.\u001b[39m_can_hold_identifiers_and_holds_name(name)\n\u001b[0;32m 6297\u001b[0m ):\n\u001b[0;32m 6298\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m[name]\n\u001b[1;32m-> 6299\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mobject\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__getattribute__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\accessor.py:224\u001b[0m, in \u001b[0;36mCachedAccessor.__get__\u001b[1;34m(self, obj, cls)\u001b[0m\n\u001b[0;32m 221\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m obj \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 222\u001b[0m \u001b[38;5;66;03m# we're accessing the attribute of the class, i.e., Dataset.geo\u001b[39;00m\n\u001b[0;32m 223\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_accessor\n\u001b[1;32m--> 224\u001b[0m accessor_obj \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_accessor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 225\u001b[0m \u001b[38;5;66;03m# Replace the property with the accessor object. Inspired by:\u001b[39;00m\n\u001b[0;32m 226\u001b[0m \u001b[38;5;66;03m# https://www.pydanny.com/cached-property.html\u001b[39;00m\n\u001b[0;32m 227\u001b[0m \u001b[38;5;66;03m# We need to use object.__setattr__ because we overwrite __setattr__ on\u001b[39;00m\n\u001b[0;32m 228\u001b[0m \u001b[38;5;66;03m# NDFrame\u001b[39;00m\n\u001b[0;32m 229\u001b[0m \u001b[38;5;28mobject\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__setattr__\u001b[39m(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_name, accessor_obj)\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\indexes\\accessors.py:643\u001b[0m, in \u001b[0;36mCombinedDatetimelikeProperties.__new__\u001b[1;34m(cls, data)\u001b[0m\n\u001b[0;32m 640\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data\u001b[38;5;241m.\u001b[39mdtype, PeriodDtype):\n\u001b[0;32m 641\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m PeriodProperties(data, orig)\n\u001b[1;32m--> 643\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCan only use .dt accessor with datetimelike values\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "\u001b[1;31mAttributeError\u001b[0m: Can only use .dt accessor with datetimelike values" ] } ], "source": [ "t['ErledigungsDatum'].dt" ] }, { "cell_type": "code", "execution_count": 38, "id": "9ad24677-b0be-4f4e-9067-b4746e0ba039", "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "Can only use .dt accessor with datetimelike values", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[1;32mIn[38], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mt\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mErstellungsDatum\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdt\u001b[49m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\generic.py:6299\u001b[0m, in \u001b[0;36mNDFrame.__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m 6292\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[0;32m 6293\u001b[0m name \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_internal_names_set\n\u001b[0;32m 6294\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m name \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_metadata\n\u001b[0;32m 6295\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m name \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_accessors\n\u001b[0;32m 6296\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_info_axis\u001b[38;5;241m.\u001b[39m_can_hold_identifiers_and_holds_name(name)\n\u001b[0;32m 6297\u001b[0m ):\n\u001b[0;32m 6298\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m[name]\n\u001b[1;32m-> 6299\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mobject\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__getattribute__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\accessor.py:224\u001b[0m, in \u001b[0;36mCachedAccessor.__get__\u001b[1;34m(self, obj, cls)\u001b[0m\n\u001b[0;32m 221\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m obj \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 222\u001b[0m \u001b[38;5;66;03m# we're accessing the attribute of the class, i.e., Dataset.geo\u001b[39;00m\n\u001b[0;32m 223\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_accessor\n\u001b[1;32m--> 224\u001b[0m accessor_obj \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_accessor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 225\u001b[0m \u001b[38;5;66;03m# Replace the property with the accessor object. Inspired by:\u001b[39;00m\n\u001b[0;32m 226\u001b[0m \u001b[38;5;66;03m# https://www.pydanny.com/cached-property.html\u001b[39;00m\n\u001b[0;32m 227\u001b[0m \u001b[38;5;66;03m# We need to use object.__setattr__ because we overwrite __setattr__ on\u001b[39;00m\n\u001b[0;32m 228\u001b[0m \u001b[38;5;66;03m# NDFrame\u001b[39;00m\n\u001b[0;32m 229\u001b[0m \u001b[38;5;28mobject\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__setattr__\u001b[39m(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_name, accessor_obj)\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\indexes\\accessors.py:643\u001b[0m, in \u001b[0;36mCombinedDatetimelikeProperties.__new__\u001b[1;34m(cls, data)\u001b[0m\n\u001b[0;32m 640\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data\u001b[38;5;241m.\u001b[39mdtype, PeriodDtype):\n\u001b[0;32m 641\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m PeriodProperties(data, orig)\n\u001b[1;32m--> 643\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCan only use .dt accessor with datetimelike values\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", "\u001b[1;31mAttributeError\u001b[0m: Can only use .dt accessor with datetimelike values" ] } ], "source": [ "t['ErstellungsDatum'].dt" ] }, { "cell_type": "code", "execution_count": 36, "id": "de697da1-2a4d-465f-988e-5d0a68840167", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "unsupported operand type(s) for -: 'str' and 'str'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\ops\\array_ops.py:218\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 217\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 218\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 219\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\computation\\expressions.py:242\u001b[0m, in \u001b[0;36mevaluate\u001b[1;34m(op, a, b, use_numexpr)\u001b[0m\n\u001b[0;32m 240\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m use_numexpr:\n\u001b[0;32m 241\u001b[0m \u001b[38;5;66;03m# error: \"None\" not callable\u001b[39;00m\n\u001b[1;32m--> 242\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_evaluate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop_str\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[0;32m 243\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _evaluate_standard(op, op_str, a, b)\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\computation\\expressions.py:73\u001b[0m, in \u001b[0;36m_evaluate_standard\u001b[1;34m(op, op_str, a, b)\u001b[0m\n\u001b[0;32m 72\u001b[0m _store_test_result(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m---> 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mop\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n", "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for -: 'str' and 'str'", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[1;32mIn[36], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m t[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtest\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mt\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mErledigungsDatum\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mErstellungsDatum\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\ops\\common.py:76\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer..new_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 72\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m\n\u001b[0;32m 74\u001b[0m other \u001b[38;5;241m=\u001b[39m item_from_zerodim(other)\n\u001b[1;32m---> 76\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\arraylike.py:194\u001b[0m, in \u001b[0;36mOpsMixin.__sub__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m 192\u001b[0m \u001b[38;5;129m@unpack_zerodim_and_defer\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__sub__\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 193\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__sub__\u001b[39m(\u001b[38;5;28mself\u001b[39m, other):\n\u001b[1;32m--> 194\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moperator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msub\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\series.py:6135\u001b[0m, in \u001b[0;36mSeries._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 6133\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_arith_method\u001b[39m(\u001b[38;5;28mself\u001b[39m, other, op):\n\u001b[0;32m 6134\u001b[0m \u001b[38;5;28mself\u001b[39m, other \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_align_for_op(other)\n\u001b[1;32m-> 6135\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mIndexOpsMixin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\base.py:1382\u001b[0m, in \u001b[0;36mIndexOpsMixin._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m 1379\u001b[0m rvalues \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marange(rvalues\u001b[38;5;241m.\u001b[39mstart, rvalues\u001b[38;5;241m.\u001b[39mstop, rvalues\u001b[38;5;241m.\u001b[39mstep)\n\u001b[0;32m 1381\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(\u001b[38;5;28mall\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m-> 1382\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mops\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marithmetic_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1384\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_construct_result(result, name\u001b[38;5;241m=\u001b[39mres_name)\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\ops\\array_ops.py:283\u001b[0m, in \u001b[0;36marithmetic_op\u001b[1;34m(left, right, op)\u001b[0m\n\u001b[0;32m 279\u001b[0m _bool_arith_check(op, left, right) \u001b[38;5;66;03m# type: ignore[arg-type]\u001b[39;00m\n\u001b[0;32m 281\u001b[0m \u001b[38;5;66;03m# error: Argument 1 to \"_na_arithmetic_op\" has incompatible type\u001b[39;00m\n\u001b[0;32m 282\u001b[0m \u001b[38;5;66;03m# \"Union[ExtensionArray, ndarray[Any, Any]]\"; expected \"ndarray[Any, Any]\"\u001b[39;00m\n\u001b[1;32m--> 283\u001b[0m res_values \u001b[38;5;241m=\u001b[39m \u001b[43m_na_arithmetic_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore[arg-type]\u001b[39;00m\n\u001b[0;32m 285\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res_values\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\ops\\array_ops.py:227\u001b[0m, in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m 219\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m 220\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_cmp \u001b[38;5;129;01mand\u001b[39;00m (\n\u001b[0;32m 221\u001b[0m left\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mobject\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(right, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mobject\u001b[39m\n\u001b[0;32m 222\u001b[0m ):\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 225\u001b[0m \u001b[38;5;66;03m# Don't do this for comparisons, as that will handle complex numbers\u001b[39;00m\n\u001b[0;32m 226\u001b[0m \u001b[38;5;66;03m# incorrectly, see GH#32047\u001b[39;00m\n\u001b[1;32m--> 227\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43m_masked_arith_op\u001b[49m\u001b[43m(\u001b[49m\u001b[43mleft\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 228\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 229\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", "File \u001b[1;32mA:\\Arbeitsaufgaben\\lang-main\\.venv\\Lib\\site-packages\\pandas\\core\\ops\\array_ops.py:163\u001b[0m, in \u001b[0;36m_masked_arith_op\u001b[1;34m(x, y, op)\u001b[0m\n\u001b[0;32m 161\u001b[0m \u001b[38;5;66;03m# See GH#5284, GH#5035, GH#19448 for historical reference\u001b[39;00m\n\u001b[0;32m 162\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mask\u001b[38;5;241m.\u001b[39many():\n\u001b[1;32m--> 163\u001b[0m result[mask] \u001b[38;5;241m=\u001b[39m \u001b[43mop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mxrav\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43myrav\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmask\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 165\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 166\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_scalar(y):\n", "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for -: 'str' and 'str'" ] } ], "source": [ "t['test'] = t['ErledigungsDatum'] - t['ErstellungsDatum']" ] }, { "cell_type": "code", "execution_count": null, "id": "c2b1724e-f48d-41a3-98c6-710bef840ba5", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.10" } }, "nbformat": 4, "nbformat_minor": 5 }