fa2338/Masterprojekt_V3
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

zusammenfügen2

Browse Source
This commit is contained in:
mi2847
2026-01-07 18:11:59 +01:00
parent dd447e59e1
commit 36b2495b02
7 changed files with 9502 additions and 9201 deletions
Download Patch File Download Diff File Expand all files Collapse all files

516
Campusnetz.ipynb
View File

@@ -3,8 +3,8 @@
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.332303Z",
"start_time": "2026-01-07T12:35:13.327285Z"
"end_time": "2026-01-07T16:53:18.235543Z",
"start_time": "2026-01-07T16:53:17.375637Z"
}
},
"cell_type": "code",
@@ -26,13 +26,13 @@
],
"id": "2bc687b1b4adb7bd",
"outputs": [],
"execution_count": 9
"execution_count": 1
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.369312Z",
"start_time": "2026-01-07T12:35:13.344448Z"
"end_time": "2026-01-07T16:53:18.257894Z",
"start_time": "2026-01-07T16:53:18.253426Z"
}
},
"cell_type": "code",
@@ -43,13 +43,13 @@
],
"id": "4f7efd7ba6ec18f9",
"outputs": [],
"execution_count": 10
"execution_count": 2
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.400124Z",
"start_time": "2026-01-07T12:35:13.377155Z"
"end_time": "2026-01-07T16:53:18.315299Z",
"start_time": "2026-01-07T16:53:18.270544Z"
}
},
"cell_type": "code",
@@ -66,13 +66,13 @@
],
"id": "57fcd841405b7866",
"outputs": [],
"execution_count": 11
"execution_count": 3
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.424831Z",
"start_time": "2026-01-07T12:35:13.413606Z"
"end_time": "2026-01-07T16:53:18.336302Z",
"start_time": "2026-01-07T16:53:18.324304Z"
}
},
"cell_type": "code",
@@ -91,13 +91,13 @@
]
}
],
"execution_count": 12
"execution_count": 4
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.476073Z",
"start_time": "2026-01-07T12:35:13.456886Z"
"end_time": "2026-01-07T16:53:18.383715Z",
"start_time": "2026-01-07T16:53:18.371556Z"
}
},
"cell_type": "code",
@@ -294,13 +294,13 @@
]
}
],
"execution_count": 13
"execution_count": 5
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.507937Z",
"start_time": "2026-01-07T12:35:13.502280Z"
"end_time": "2026-01-07T16:53:18.433103Z",
"start_time": "2026-01-07T16:53:18.428516Z"
}
},
"cell_type": "code",
@@ -320,13 +320,13 @@
]
}
],
"execution_count": 14
"execution_count": 6
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.561318Z",
"start_time": "2026-01-07T12:35:13.546541Z"
"end_time": "2026-01-07T16:53:18.484333Z",
"start_time": "2026-01-07T16:53:18.467651Z"
}
},
"cell_type": "code",
@@ -348,18 +348,18 @@
"'Import der Koordinaten aus stationärem GNSS abgeschlossen.'"
]
},
"execution_count": 15,
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 15
"execution_count": 7
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.610549Z",
"start_time": "2026-01-07T12:35:13.598061Z"
"end_time": "2026-01-07T16:53:18.516173Z",
"start_time": "2026-01-07T16:53:18.501776Z"
}
},
"cell_type": "code",
@@ -383,13 +383,13 @@
]
}
],
"execution_count": 16
"execution_count": 8
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.684596Z",
"start_time": "2026-01-07T12:35:13.671209Z"
"end_time": "2026-01-07T16:53:18.540269Z",
"start_time": "2026-01-07T16:53:18.527963Z"
}
},
"cell_type": "code",
@@ -416,13 +416,13 @@
],
"id": "ed9be38e35cfc619",
"outputs": [],
"execution_count": 17
"execution_count": 9
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:13.702988Z",
"start_time": "2026-01-07T12:35:13.700016Z"
"end_time": "2026-01-07T16:53:18.556034Z",
"start_time": "2026-01-07T16:53:18.551738Z"
}
},
"cell_type": "code",
@@ -451,13 +451,13 @@
],
"id": "efa952a603ad1909",
"outputs": [],
"execution_count": 18
"execution_count": 10
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:16.797020Z",
"start_time": "2026-01-07T12:35:13.713024Z"
"end_time": "2026-01-07T16:53:21.444673Z",
"start_time": "2026-01-07T16:53:18.579007Z"
}
},
"cell_type": "code",
@@ -628,13 +628,13 @@
]
}
],
"execution_count": 19
"execution_count": 11
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:16.879607Z",
"start_time": "2026-01-07T12:35:16.843810Z"
"end_time": "2026-01-07T16:53:21.584229Z",
"start_time": "2026-01-07T16:53:21.544702Z"
}
},
"cell_type": "code",
@@ -802,13 +802,13 @@
]
}
],
"execution_count": 20
"execution_count": 12
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:16.906230Z",
"start_time": "2026-01-07T12:35:16.890057Z"
"end_time": "2026-01-07T16:53:21.657166Z",
"start_time": "2026-01-07T16:53:21.642656Z"
}
},
"cell_type": "code",
@@ -820,13 +820,13 @@
],
"id": "5a9e8f24709980d2",
"outputs": [],
"execution_count": 21
"execution_count": 13
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:16.938105Z",
"start_time": "2026-01-07T12:35:16.916740Z"
"end_time": "2026-01-07T16:53:21.703399Z",
"start_time": "2026-01-07T16:53:21.679439Z"
}
},
"cell_type": "code",
@@ -856,18 +856,18 @@
"[(1, 'Tachymeter', 'Trimble S9')]"
]
},
"execution_count": 22,
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 22
"execution_count": 14
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:16.985065Z",
"start_time": "2026-01-07T12:35:16.960038Z"
"end_time": "2026-01-07T16:53:21.740755Z",
"start_time": "2026-01-07T16:53:21.715666Z"
}
},
"cell_type": "code",
@@ -897,13 +897,13 @@
]
}
],
"execution_count": 23
"execution_count": 15
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:17.024232Z",
"start_time": "2026-01-07T12:35:16.995731Z"
"end_time": "2026-01-07T16:53:21.786423Z",
"start_time": "2026-01-07T16:53:21.759186Z"
}
},
"cell_type": "code",
@@ -926,13 +926,13 @@
]
}
],
"execution_count": 24
"execution_count": 16
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:17.048531Z",
"start_time": "2026-01-07T12:35:17.034288Z"
"end_time": "2026-01-07T16:53:21.817850Z",
"start_time": "2026-01-07T16:53:21.803986Z"
}
},
"cell_type": "code",
@@ -953,18 +953,18 @@
"'Der HFP 666 wurde neu hinzugefügt.\\nDer HFP 812 wurde neu hinzugefügt.\\nDer HFP 816 wurde neu hinzugefügt.'"
]
},
"execution_count": 25,
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 25
"execution_count": 17
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:17.066074Z",
"start_time": "2026-01-07T12:35:17.059840Z"
"end_time": "2026-01-07T16:53:21.855238Z",
"start_time": "2026-01-07T16:53:21.847536Z"
}
},
"cell_type": "code",
@@ -982,18 +982,18 @@
"[('666', 3.891), ('812', 3.999), ('816', 3.995)]"
]
},
"execution_count": 26,
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 26
"execution_count": 18
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:17.093913Z",
"start_time": "2026-01-07T12:35:17.084361Z"
"end_time": "2026-01-07T16:53:21.924711Z",
"start_time": "2026-01-07T16:53:21.913744Z"
}
},
"cell_type": "code",
@@ -1015,13 +1015,13 @@
]
}
],
"execution_count": 27
"execution_count": 19
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:17.124724Z",
"start_time": "2026-01-07T12:35:17.111229Z"
"end_time": "2026-01-07T16:53:21.965219Z",
"start_time": "2026-01-07T16:53:21.952162Z"
}
},
"cell_type": "code",
@@ -1052,18 +1052,18 @@
"\"Für folgende Punkte werden die Höhen Ausgeglichen: ['812', '10047', '10046', '10045', '10034', '10035', '10029', '10030', '10031', '10017', '10013', '10012', '10014', '10015', '10016', '10007', '666', '10054', '10056', '10058', '10052', '10043', '10026', '10010', '10006', '816', '10048', '10049', '10053', '10050', '10051', '10040', '10037', '10038', '10039', '10032', '10033', '10025', '10024', '10023', '10022', '10021', '10020', '10019', '10036', '10028', '10011', '10001', '10003', '10008', '10005', '10004', '10002', '10055', '10057', '10059', '10044', '10041', '10042', '10027', '10018', '10009']\""
]
},
"execution_count": 28,
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 28
"execution_count": 20
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:35:17.166770Z",
"start_time": "2026-01-07T12:35:17.148874Z"
"end_time": "2026-01-07T16:53:22.016132Z",
"start_time": "2026-01-07T16:53:21.998840Z"
}
},
"cell_type": "code",
@@ -1081,18 +1081,18 @@
"'Die Beobachtungen aus der Datei Daten\\\\Niv_bereinigt.DAT.csv wurden erfolgreich importiert.'"
]
},
"execution_count": 29,
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 29
"execution_count": 21
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:36:16.197855Z",
"start_time": "2026-01-07T12:35:17.190098Z"
"end_time": "2026-01-07T16:53:47.958620Z",
"start_time": "2026-01-07T16:53:22.025978Z"
}
},
"cell_type": "code",
@@ -1113,13 +1113,13 @@
],
"id": "c9367690f5b73953",
"outputs": [],
"execution_count": 30
"execution_count": 22
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:38:06.545955Z",
"start_time": "2026-01-07T12:37:27.363665Z"
"end_time": "2026-01-07T16:59:30.359379Z",
"start_time": "2026-01-07T16:54:03.066002Z"
}
},
"cell_type": "code",
@@ -1133,13 +1133,13 @@
],
"id": "163fa2e24923b40",
"outputs": [],
"execution_count": 31
"execution_count": 23
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:38:06.658854Z",
"start_time": "2026-01-07T12:38:06.554444Z"
"end_time": "2026-01-07T16:59:30.586776Z",
"start_time": "2026-01-07T16:59:30.452151Z"
}
},
"cell_type": "code",
@@ -1151,27 +1151,14 @@
"beobachtungsvektor_numerisch = fm.beobachtungsvektor_numerisch(Jacobimatrix_symbolisch_liste_beobachtungsvektor)"
],
"id": "80e8325721c950f8",
"outputs": [
{
"ename": "KeyError",
"evalue": "70_SD_1_10009_10006",
"output_type": "error",
"traceback": [
"\u001B[31m---------------------------------------------------------------------------\u001B[39m",
"\u001B[31mKeyError\u001B[39m Traceback (most recent call last)",
"\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[32]\u001B[39m\u001B[32m, line 5\u001B[39m\n\u001B[32m 2\u001B[39m importlib.reload(Funktionales_Modell)\n\u001B[32m 3\u001B[39m fm = Funktionales_Modell.FunktionalesModell(pfad_datenbank, a, b)\n\u001B[32m----> \u001B[39m\u001B[32m5\u001B[39m beobachtungsvektor_numerisch = \u001B[43mfm\u001B[49m\u001B[43m.\u001B[49m\u001B[43mbeobachtungsvektor_numerisch\u001B[49m\u001B[43m(\u001B[49m\u001B[43mJacobimatrix_symbolisch_liste_beobachtungsvektor\u001B[49m\u001B[43m)\u001B[49m\n",
"\u001B[36mFile \u001B[39m\u001B[32m~\\PycharmProjects\\Masterprojekt_V3\\Funktionales_Modell.py:396\u001B[39m, in \u001B[36mFunktionalesModell.beobachtungsvektor_numerisch\u001B[39m\u001B[34m(self, liste_beobachtungsvektor_symbolisch)\u001B[39m\n\u001B[32m 394\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m beobachtung_symbolisch.startswith(\u001B[33m\"\u001B[39m\u001B[33mlA_\u001B[39m\u001B[33m\"\u001B[39m):\n\u001B[32m 395\u001B[39m beobachtung_symbolisch = \u001B[38;5;28mstr\u001B[39m(beobachtung_symbolisch.split(\u001B[33m\"\u001B[39m\u001B[33m_\u001B[39m\u001B[33m\"\u001B[39m, \u001B[32m1\u001B[39m)[\u001B[32m1\u001B[39m]).strip()\n\u001B[32m--> \u001B[39m\u001B[32m396\u001B[39m liste_beobachtungsvektor_numerisch.append(\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43msubstitutionen_dict\u001B[49m\u001B[43m[\u001B[49m\u001B[43msp\u001B[49m\u001B[43m.\u001B[49m\u001B[43mSymbol\u001B[49m\u001B[43m(\u001B[49m\u001B[43mbeobachtung_symbolisch\u001B[49m\u001B[43m)\u001B[49m\u001B[43m]\u001B[49m)\n\u001B[32m 398\u001B[39m beobachtungsvektor_numerisch = sp.Matrix(liste_beobachtungsvektor_numerisch)\n\u001B[32m 399\u001B[39m Export.matrix_to_csv(\u001B[33mr\u001B[39m\u001B[33m\"\u001B[39m\u001B[33mZwischenergebnisse\u001B[39m\u001B[33m\\\u001B[39m\u001B[33mBeobachtungsvektor_Numerisch.csv\u001B[39m\u001B[33m\"\u001B[39m, [\u001B[33m\"\u001B[39m\u001B[33m\"\u001B[39m], liste_beobachtungsvektor_symbolisch, beobachtungsvektor_numerisch, \u001B[33m\"\u001B[39m\u001B[33mBeobachtungsvektor\u001B[39m\u001B[33m\"\u001B[39m)\n",
"\u001B[31mKeyError\u001B[39m: 70_SD_1_10009_10006"
]
}
],
"execution_count": 32
"outputs": [],
"execution_count": 24
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:45:30.265091Z",
"start_time": "2026-01-07T12:45:29.517772Z"
"end_time": "2026-01-07T16:59:31.397290Z",
"start_time": "2026-01-07T16:59:30.594141Z"
}
},
"cell_type": "code",
@@ -1183,13 +1170,13 @@
],
"id": "33e9fbd465c577e4",
"outputs": [],
"execution_count": 33
"execution_count": 25
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:46:11.519343Z",
"start_time": "2026-01-07T12:46:07.931281Z"
"end_time": "2026-01-07T17:00:27.366806Z",
"start_time": "2026-01-07T16:59:47.883767Z"
}
},
"cell_type": "code",
@@ -1201,13 +1188,13 @@
],
"id": "bcf3dd5fc820d077",
"outputs": [],
"execution_count": 34
"execution_count": 26
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:50:12.832101Z",
"start_time": "2026-01-07T12:46:51.965045Z"
"end_time": "2026-01-07T17:02:19.336413Z",
"start_time": "2026-01-07T17:00:27.375923Z"
}
},
"cell_type": "code",
@@ -1226,13 +1213,13 @@
],
"id": "c1def9b9b41efcd5",
"outputs": [],
"execution_count": 35
"execution_count": 27
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:38:06.667142700Z",
"start_time": "2026-01-06T13:17:40.815217Z"
"end_time": "2026-01-07T17:03:23.266049Z",
"start_time": "2026-01-07T17:03:23.250183Z"
}
},
"cell_type": "code",
@@ -1262,18 +1249,18 @@
"<module 'Stochastisches_Modell' from 'C:\\\\Users\\\\miche\\\\PycharmProjects\\\\Masterprojekt_V3\\\\Stochastisches_Modell.py'>"
]
},
"execution_count": 154,
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 154
"execution_count": 28
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:38:06.667142700Z",
"start_time": "2026-01-06T13:24:22.955427Z"
"end_time": "2026-01-07T17:04:05.830413Z",
"start_time": "2026-01-07T17:03:23.278507Z"
}
},
"cell_type": "code",
@@ -1470,11 +1457,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Modell enthält Beobachtungen: 2628\n",
"Modell enthält Unbekannte: 236\n",
"Behalte Zeilen (10000er): 2628 / 2628\n",
"Modell enthält Beobachtungen: 2835\n",
"Modell enthält Unbekannte: 257\n",
"Behalte Zeilen (10000er): 2628 / 2835\n",
"Punkte in den behaltenen Beobachtungen: 59\n",
"Behalte Spalten: 236 / 236\n",
"Behalte Spalten: 236 / 257\n",
"Anzahl Punkte (für Datum/G): 59\n",
"Datumspunkte: ['10009', '10006', '10010', '10018', '10008', '10005', '10003', '10004', '10007', '10001']\n",
"Anzahl Datumskomponenten: 30\n",
@@ -1483,50 +1470,282 @@
"Gi shape = (236, 6)\n",
"rank(S) = 4\n",
"S shape = (6, 6)\n",
"Iter 0: max|dx|=1.029e+02, sigma0=0.49318210586418104\n",
"Iter 0: max|dx|=1.109e+02, sigma0=0.19923074676411007\n",
"rank(Gi) = 6\n",
"Gi shape = (236, 6)\n",
"rank(S) = 4\n",
"rank(S) = 3\n",
"S shape = (6, 6)\n",
"Iter 1: max|dx|=5.610e+01, sigma0=0.4632058026074509\n",
"Iter 1: max|dx|=1.388e+02, sigma0=0.2958008341388878\n",
"rank(Gi) = 6\n",
"Gi shape = (236, 6)\n",
"rank(S) = 4\n",
"rank(S) = 3\n",
"S shape = (6, 6)\n",
"Iter 2: max|dx|=1.593e+01, sigma0=0.4634545548558407\n",
"Iter 2: max|dx|=1.811e+02, sigma0=0.38044576942836994\n",
"rank(Gi) = 6\n",
"Gi shape = (236, 6)\n",
"rank(S) = 4\n",
"rank(S) = 3\n",
"S shape = (6, 6)\n",
"Iter 3: max|dx|=8.116e+00, sigma0=0.4633976269114264\n",
"Iter 3: max|dx|=4.593e+02, sigma0=0.76913776287138\n",
"rank(Gi) = 6\n",
"Gi shape = (236, 6)\n",
"rank(S) = 4\n",
"S shape = (6, 6)\n"
"rank(S) = 3\n",
"S shape = (6, 6)\n",
"Iter 4: max|dx|=5.662e+02, sigma0=0.9636348058551226\n"
]
},
{
"ename": "LinAlgError",
"evalue": "Singular matrix",
"output_type": "error",
"traceback": [
"\u001B[31m---------------------------------------------------------------------------\u001B[39m",
"\u001B[31mLinAlgError\u001B[39m Traceback (most recent call last)",
"\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[155]\u001B[39m\u001B[32m, line 165\u001B[39m\n\u001B[32m 162\u001B[39m l0_np = np.asarray(l0(*werte), dtype=\u001B[38;5;28mfloat\u001B[39m).reshape(-\u001B[32m1\u001B[39m, \u001B[32m1\u001B[39m)\n\u001B[32m 163\u001B[39m dl_np = np.asarray(fm.berechnung_dl(l_numerisch_reduziert, l0_np, beobachtungen_reduziert), dtype=\u001B[38;5;28mfloat\u001B[39m).reshape(-\u001B[32m1\u001B[39m, \u001B[32m1\u001B[39m)\n\u001B[32m--> \u001B[39m\u001B[32m165\u001B[39m res_dict, dx = \u001B[43mParameterschaetzung\u001B[49m\u001B[43m.\u001B[49m\u001B[43mausgleichung_lokal_numpy\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 166\u001B[39m \u001B[43m \u001B[49m\u001B[43mA\u001B[49m\u001B[43m=\u001B[49m\u001B[43mA_np\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 167\u001B[39m \u001B[43m \u001B[49m\u001B[43mdl\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdl_np\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 168\u001B[39m \u001B[43m \u001B[49m\u001B[43mQ_ll\u001B[49m\u001B[43m=\u001B[49m\u001B[43mQll_I\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 169\u001B[39m \u001B[43m \u001B[49m\u001B[43mx0\u001B[49m\u001B[43m=\u001B[49m\u001B[43mx\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 170\u001B[39m \u001B[43m \u001B[49m\u001B[43mliste_punktnummern\u001B[49m\u001B[43m=\u001B[49m\u001B[43mliste_punktnummern\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 171\u001B[39m \u001B[43m \u001B[49m\u001B[43mauswahl\u001B[49m\u001B[43m=\u001B[49m\u001B[43mauswahl\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 172\u001B[39m \u001B[43m \u001B[49m\u001B[43mmit_massstab\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\n\u001B[32m 173\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 175\u001B[39m dx_np = np.asarray(dx, dtype=\u001B[38;5;28mfloat\u001B[39m).reshape(-\u001B[32m1\u001B[39m, \u001B[32m1\u001B[39m)\n\u001B[32m 176\u001B[39m x = x + dx_np\n",
"\u001B[36mFile \u001B[39m\u001B[32m~\\PycharmProjects\\Masterprojekt_V3\\Parameterschaetzung.py:221\u001B[39m, in \u001B[36mausgleichung_lokal_numpy\u001B[39m\u001B[34m(A, dl, Q_ll, x0, liste_punktnummern, auswahl, mit_massstab)\u001B[39m\n\u001B[32m 219\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33m\"\u001B[39m\u001B[33mrank(S) =\u001B[39m\u001B[33m\"\u001B[39m, np.linalg.matrix_rank(S))\n\u001B[32m 220\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33m\"\u001B[39m\u001B[33mS shape =\u001B[39m\u001B[33m\"\u001B[39m, S.shape)\n\u001B[32m--> \u001B[39m\u001B[32m221\u001B[39m S_inv = \u001B[43mnp\u001B[49m\u001B[43m.\u001B[49m\u001B[43mlinalg\u001B[49m\u001B[43m.\u001B[49m\u001B[43minv\u001B[49m\u001B[43m(\u001B[49m\u001B[43mS\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 222\u001B[39m Q_xx = N_inv - N_inv_G @ S_inv @ N_inv_G.T\n\u001B[32m 224\u001B[39m \u001B[38;5;66;03m# 7) Q_lhat_lhat, Q_vv\u001B[39;00m\n",
"\u001B[36mFile \u001B[39m\u001B[32m~\\AppData\\Local\\Programs\\Python\\Python314\\Lib\\site-packages\\numpy\\linalg\\_linalg.py:669\u001B[39m, in \u001B[36minv\u001B[39m\u001B[34m(a)\u001B[39m\n\u001B[32m 666\u001B[39m signature = \u001B[33m'\u001B[39m\u001B[33mD->D\u001B[39m\u001B[33m'\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m isComplexType(t) \u001B[38;5;28;01melse\u001B[39;00m \u001B[33m'\u001B[39m\u001B[33md->d\u001B[39m\u001B[33m'\u001B[39m\n\u001B[32m 667\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m errstate(call=_raise_linalgerror_singular, invalid=\u001B[33m'\u001B[39m\u001B[33mcall\u001B[39m\u001B[33m'\u001B[39m,\n\u001B[32m 668\u001B[39m over=\u001B[33m'\u001B[39m\u001B[33mignore\u001B[39m\u001B[33m'\u001B[39m, divide=\u001B[33m'\u001B[39m\u001B[33mignore\u001B[39m\u001B[33m'\u001B[39m, under=\u001B[33m'\u001B[39m\u001B[33mignore\u001B[39m\u001B[33m'\u001B[39m):\n\u001B[32m--> \u001B[39m\u001B[32m669\u001B[39m ainv = \u001B[43m_umath_linalg\u001B[49m\u001B[43m.\u001B[49m\u001B[43minv\u001B[49m\u001B[43m(\u001B[49m\u001B[43ma\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msignature\u001B[49m\u001B[43m=\u001B[49m\u001B[43msignature\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 670\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m wrap(ainv.astype(result_t, copy=\u001B[38;5;28;01mFalse\u001B[39;00m))\n",
"\u001B[36mFile \u001B[39m\u001B[32m~\\AppData\\Local\\Programs\\Python\\Python314\\Lib\\site-packages\\numpy\\linalg\\_linalg.py:163\u001B[39m, in \u001B[36m_raise_linalgerror_singular\u001B[39m\u001B[34m(err, flag)\u001B[39m\n\u001B[32m 162\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m_raise_linalgerror_singular\u001B[39m(err, flag):\n\u001B[32m--> \u001B[39m\u001B[32m163\u001B[39m \u001B[38;5;28;01mraise\u001B[39;00m LinAlgError(\u001B[33m\"\u001B[39m\u001B[33mSingular matrix\u001B[39m\u001B[33m\"\u001B[39m)\n",
"\u001B[31mLinAlgError\u001B[39m: Singular matrix"
]
"data": {
"text/plain": [
"array([[ 3.79477450e+06],\n",
" [ 5.46691953e+05],\n",
" [ 5.08014812e+06],\n",
" [ 3.79472486e+06],\n",
" [ 5.46727987e+05],\n",
" [ 5.08017306e+06],\n",
" [ 3.79485249e+06],\n",
" [ 5.46669640e+05],\n",
" [ 5.08015281e+06],\n",
" [ 3.79487665e+06],\n",
" [ 5.46720851e+05],\n",
" [ 5.08014498e+06],\n",
" [ 3.79478013e+06],\n",
" [ 5.46725703e+05],\n",
" [ 5.08011986e+06],\n",
" [ 3.79477133e+06],\n",
" [ 5.46756388e+05],\n",
" [ 5.08017930e+06],\n",
" [ 3.79481980e+06],\n",
" [ 5.46774891e+05],\n",
" [ 5.08014589e+06],\n",
" [ 3.79476061e+06],\n",
" [ 5.46753904e+05],\n",
" [ 5.08015165e+06],\n",
" [ 3.79482554e+06],\n",
" [ 5.46800094e+05],\n",
" [ 5.08014095e+06],\n",
" [ 3.79482358e+06],\n",
" [ 5.46814168e+05],\n",
" [ 5.08004854e+06],\n",
" [ 3.79483052e+06],\n",
" [ 5.46768610e+05],\n",
" [ 5.08010754e+06],\n",
" [ 3.79482793e+06],\n",
" [ 5.46822653e+05],\n",
" [ 5.08011514e+06],\n",
" [ 3.79467324e+06],\n",
" [ 5.46826900e+05],\n",
" [ 5.08005969e+06],\n",
" [ 3.79490821e+06],\n",
" [ 5.46802954e+05],\n",
" [ 5.08020440e+06],\n",
" [ 3.79496553e+06],\n",
" [ 5.46891951e+05],\n",
" [ 5.08017120e+06],\n",
" [ 3.79499647e+06],\n",
" [ 5.46993000e+05],\n",
" [ 5.08017231e+06],\n",
" [ 3.79498413e+06],\n",
" [ 5.47078352e+05],\n",
" [ 5.08013231e+06],\n",
" [ 3.79484933e+06],\n",
" [ 5.46828550e+05],\n",
" [ 5.08011829e+06],\n",
" [ 3.79484044e+06],\n",
" [ 5.46837427e+05],\n",
" [ 5.08011383e+06],\n",
" [ 3.79487107e+06],\n",
" [ 5.46857706e+05],\n",
" [ 5.08014250e+06],\n",
" [ 3.79487390e+06],\n",
" [ 5.46886724e+05],\n",
" [ 5.08014949e+06],\n",
" [ 3.79485165e+06],\n",
" [ 5.46843624e+05],\n",
" [ 5.08012560e+06],\n",
" [ 3.79485204e+06],\n",
" [ 5.46856310e+05],\n",
" [ 5.08013078e+06],\n",
" [ 3.79479481e+06],\n",
" [ 5.46830952e+05],\n",
" [ 5.08007093e+06],\n",
" [ 3.79484303e+06],\n",
" [ 5.46903172e+05],\n",
" [ 5.08008520e+06],\n",
" [ 3.79481752e+06],\n",
" [ 5.46865227e+05],\n",
" [ 5.08008656e+06],\n",
" [ 3.79503999e+06],\n",
" [ 5.47103505e+05],\n",
" [ 5.08013538e+06],\n",
" [ 3.79496892e+06],\n",
" [ 5.47033432e+05],\n",
" [ 5.08013256e+06],\n",
" [ 3.79504895e+06],\n",
" [ 5.47252038e+05],\n",
" [ 5.08014925e+06],\n",
" [ 3.79486645e+06],\n",
" [ 5.47084066e+05],\n",
" [ 5.08004794e+06],\n",
" [ 3.79493225e+06],\n",
" [ 5.47080102e+05],\n",
" [ 5.08011984e+06],\n",
" [ 3.79492828e+06],\n",
" [ 5.47020648e+05],\n",
" [ 5.08011158e+06],\n",
" [ 3.79482531e+06],\n",
" [ 5.47001161e+05],\n",
" [ 5.08005379e+06],\n",
" [ 3.79499520e+06],\n",
" [ 5.47149383e+05],\n",
" [ 5.08012759e+06],\n",
" [ 3.79483304e+06],\n",
" [ 5.47104032e+05],\n",
" [ 5.08002106e+06],\n",
" [ 3.79475152e+06],\n",
" [ 5.47080118e+05],\n",
" [ 5.07991809e+06],\n",
" [ 3.79483964e+06],\n",
" [ 5.47015073e+05],\n",
" [ 5.08007390e+06],\n",
" [ 3.79516182e+06],\n",
" [ 5.47435045e+05],\n",
" [ 5.08021660e+06],\n",
" [ 3.79500337e+06],\n",
" [ 5.47245632e+05],\n",
" [ 5.08012354e+06],\n",
" [ 3.79476965e+06],\n",
" [ 5.46844316e+05],\n",
" [ 5.08008226e+06],\n",
" [ 3.79467794e+06],\n",
" [ 5.47005327e+05],\n",
" [ 5.07994309e+06],\n",
" [ 3.79477701e+06],\n",
" [ 5.46824062e+05],\n",
" [ 5.08009490e+06],\n",
" [ 3.79480132e+06],\n",
" [ 5.46839326e+05],\n",
" [ 5.08009696e+06],\n",
" [ 3.79479860e+06],\n",
" [ 5.46904100e+05],\n",
" [ 5.08004933e+06],\n",
" [ 3.79480628e+06],\n",
" [ 5.46819002e+05],\n",
" [ 5.08010950e+06],\n",
" [ 3.79483340e+06],\n",
" [ 5.46937002e+05],\n",
" [ 5.08007066e+06],\n",
" [ 3.79476903e+06],\n",
" [ 5.47009706e+05],\n",
" [ 5.07994352e+06],\n",
" [ 3.79475696e+06],\n",
" [ 5.47022601e+05],\n",
" [ 5.07993613e+06],\n",
" [ 3.79461060e+06],\n",
" [ 5.47031562e+05],\n",
" [ 5.07983108e+06],\n",
" [ 3.79428282e+06],\n",
" [ 5.47201119e+05],\n",
" [ 5.07979205e+06],\n",
" [ 3.79490488e+06],\n",
" [ 5.47273756e+05],\n",
" [ 5.08007969e+06],\n",
" [ 3.79439934e+06],\n",
" [ 5.47212214e+05],\n",
" [ 5.07994328e+06],\n",
" [ 3.79431711e+06],\n",
" [ 5.47181840e+05],\n",
" [ 5.07989960e+06],\n",
" [ 3.79473022e+06],\n",
" [ 5.47260341e+05],\n",
" [ 5.08002980e+06],\n",
" [ 3.79463749e+06],\n",
" [ 5.47310689e+05],\n",
" [ 5.07998866e+06],\n",
" [ 3.79442545e+06],\n",
" [ 5.47265550e+05],\n",
" [ 5.07986736e+06],\n",
" [ 3.79411791e+06],\n",
" [ 5.47219095e+05],\n",
" [ 5.07974028e+06],\n",
" [ 3.79505205e+06],\n",
" [ 5.47429911e+05],\n",
" [ 5.08009792e+06],\n",
" [ 3.79454198e+06],\n",
" [ 5.47323755e+05],\n",
" [ 5.07988777e+06],\n",
" [ 4.54933117e-02],\n",
" [ 3.68472759e-02],\n",
" [-2.39174372e-02],\n",
" [-7.46871973e-01],\n",
" [-1.87344125e+00],\n",
" [ 7.14293432e-01],\n",
" [-1.16218140e+00],\n",
" [-7.76760862e-02],\n",
" [-3.54574961e-01],\n",
" [ 3.72328440e-02],\n",
" [-1.10107071e+00],\n",
" [-1.21517340e+00],\n",
" [-1.02344977e+00],\n",
" [-1.26272398e+00],\n",
" [ 2.87489208e-01],\n",
" [-4.29677520e-01],\n",
" [-1.84597441e-01],\n",
" [-1.75685061e+00],\n",
" [-2.53991995e-01],\n",
" [-2.52240394e-01],\n",
" [ 1.85283907e-01],\n",
" [ 7.60124886e-01],\n",
" [-1.01781424e+00],\n",
" [-5.82193313e-01],\n",
" [-1.33133483e+00],\n",
" [-8.57886778e-01],\n",
" [-1.69859274e+00],\n",
" [ 5.55745058e-01],\n",
" [ 4.72719233e-01],\n",
" [-6.72286716e-02],\n",
" [ 2.91206376e-01],\n",
" [ 7.66871638e-02],\n",
" [ 5.60837412e-01],\n",
" [-2.61829569e-01],\n",
" [ 1.59853188e+00],\n",
" [-6.06636722e-01],\n",
" [ 1.04842467e+00],\n",
" [ 1.71242169e-01],\n",
" [ 1.23597571e-01],\n",
" [-1.16376658e-01],\n",
" [-4.66644280e-01],\n",
" [ 1.62231766e-01],\n",
" [ 1.06881355e+00],\n",
" [ 8.52215516e-01],\n",
" [-3.26873856e-01],\n",
" [ 2.54737552e-01],\n",
" [-4.32746569e-01],\n",
" [-5.39637645e-01],\n",
" [-1.29901171e+00],\n",
" [-5.45973503e-01],\n",
" [-6.25878582e-01],\n",
" [-7.05309710e-01],\n",
" [-6.16455790e-02],\n",
" [-2.47957626e-01],\n",
" [ 1.12436501e+00],\n",
" [ 8.36458462e-02],\n",
" [ 3.43891397e-01],\n",
" [ 4.41895088e-01],\n",
" [ 7.59722346e-01]])"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 155
"execution_count": 29
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:38:06.667142700Z",
"start_time": "2026-01-06T15:22:54.325590Z"
"end_time": "2026-01-07T17:06:57.985682Z",
"start_time": "2026-01-07T17:06:57.106092Z"
}
},
"cell_type": "code",
@@ -1568,25 +1787,21 @@
"id": "7de561d7eaebb1c2",
"outputs": [
{
"ename": "AttributeError",
"evalue": "type object 'Genauigkeitsmaße' has no attribute 'berechne_s0apost'",
"ename": "NameError",
"evalue": "name 'v' is not defined",
"output_type": "error",
"traceback": [
"\u001B[31m---------------------------------------------------------------------------\u001B[39m",
"\u001B[31mAttributeError\u001B[39m Traceback (most recent call last)",
"\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[157]\u001B[39m\u001B[32m, line 5\u001B[39m\n\u001B[32m 2\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mNetzqualität_Genauigkeit\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m Genauigkeitsmaße\n\u001B[32m 4\u001B[39m \u001B[38;5;66;03m# s0 aposteriori\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m5\u001B[39m s0_aposteriori = \u001B[43mGenauigkeitsmaße\u001B[49m\u001B[43m.\u001B[49m\u001B[43mberechne_s0apost\u001B[49m(v, P, r)\n\u001B[32m 6\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33ms0 aposteriori: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00ms0_aposteriori\u001B[38;5;132;01m:\u001B[39;00m\u001B[33m.4f\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m\"\u001B[39m)\n\u001B[32m 8\u001B[39m \u001B[38;5;66;03m# Helmert'scher Punktfehler (3D)\u001B[39;00m\n\u001B[32m 9\u001B[39m \n\u001B[32m 10\u001B[39m \n\u001B[32m (...)\u001B[39m\u001B[32m 13\u001B[39m \n\u001B[32m 14\u001B[39m \u001B[38;5;66;03m# Konfidenzellipse\u001B[39;00m\n",
"\u001B[31mAttributeError\u001B[39m: type object 'Genauigkeitsmaße' has no attribute 'berechne_s0apost'"
"\u001B[31mNameError\u001B[39m Traceback (most recent call last)",
"\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[30]\u001B[39m\u001B[32m, line 5\u001B[39m\n\u001B[32m 2\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mNetzqualität_Genauigkeit\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m Genauigkeitsmaße\n\u001B[32m 4\u001B[39m \u001B[38;5;66;03m# s0 aposteriori\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m5\u001B[39m s0_aposteriori = Genauigkeitsmaße.berechne_s0apost(\u001B[43mv\u001B[49m, P, r)\n\u001B[32m 6\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m\"\u001B[39m\u001B[33ms0 aposteriori: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00ms0_aposteriori\u001B[38;5;132;01m:\u001B[39;00m\u001B[33m.4f\u001B[39m\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m\"\u001B[39m)\n\u001B[32m 8\u001B[39m \u001B[38;5;66;03m# Helmert'scher Punktfehler (3D)\u001B[39;00m\n",
"\u001B[31mNameError\u001B[39m: name 'v' is not defined"
]
}
],
"execution_count": 157
"execution_count": 30
},
{
"metadata": {
"jupyter": {
"is_executing": true
}
},
"metadata": {},
"cell_type": "code",
"source": [
"# Netzqualität: Zuverlässigkeitsmaße\n",
@@ -1611,12 +1826,7 @@
"execution_count": null
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2026-01-07T12:38:06.671731900Z",
"start_time": "2026-01-06T17:19:32.878104Z"
}
},
"metadata": {},
"cell_type": "code",
"source": [
"# Erzeugung eines Protokolls der hybriden Netzausgleichung\n",
@@ -1631,7 +1841,7 @@
],
"id": "efef62555453950e",
"outputs": [],
"execution_count": 160
"execution_count": null
}
],
"metadata": {