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Datasets:
jonasmaltebecker
/
nasa_milling

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Time Series Forecasting
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JOnas Becker commited on
Commit
a87c80f
·
1 Parent(s): 7a10530

deleted parsing files

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Files changed (2) hide show
  1. mat2json.ipynb +0 -474
  2. mill.mat +0 -3
mat2json.ipynb DELETED
@@ -1,474 +0,0 @@
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- {
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- "cells": [
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- "cell_type": "code",
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- "execution_count": 1,
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- "metadata": {},
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- "outputs": [],
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- "source": [
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- "import scipy.io as sio\n",
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- "import pandas as pd\n",
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- "import numpy as np\n",
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- "# Load the .mat file\n",
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- "mat_contents = sio.loadmat('mill.mat')"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": 13,
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- "metadata": {},
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- "outputs": [
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- {
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- "data": {
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- "text/plain": [
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- "array([[1]], dtype=uint8)"
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- "execution_count": 13,
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- "metadata": {},
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- "output_type": "execute_result"
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- }
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- ],
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- "source": [
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- "idx = 0\n",
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- "np.assdata[0][idx][1]"
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- ]
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- },
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- {
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- "cell_type": "code",
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- "execution_count": 21,
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- "metadata": {},
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- "outputs": [
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "<class 'numpy.ndarray'>\n",
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- "(1, 167)\n"
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- " <thead>\n",
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- " <th>case</th>\n",
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- " case run VB time DOC feed material \\\n",
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- "0 1 1 0.00 2 1.5 0.5 1 \n",
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- ".. ... ... ... ... ... ... ... \n",
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- "162 16 2 NaN 2 1.5 0.5 2 \n",
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- "165 16 5 0.40 6 1.5 0.5 2 \n",
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- "166 16 6 0.62 9 1.5 0.5 2 \n",
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- "\n",
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- " smcAC \\\n",
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- "\n",
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- "\n",
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- " vib_table \\\n",
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- "\n",
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- "\n",
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- "165 [0.11474609375, 0.1123046875, 0.1068115234375,... \n",
358
- "166 [0.0830078125, 0.096435546875, 0.0762939453125... \n",
359
- "\n",
360
- "[167 rows x 13 columns]"
361
- ]
362
- },
363
- "execution_count": 21,
364
- "metadata": {},
365
- "output_type": "execute_result"
366
- }
367
- ],
368
- "source": [
369
- "mat_contents.keys()\n",
370
- "data=mat_contents['mill']\n",
371
- "print(type(data))\n",
372
- "print(data.shape)\n",
373
- "df= pd.DataFrame(data[0])\n",
374
- "\n",
375
- "for c in [\"case\",\"run\",\"VB\",\"time\",\"DOC\",\"feed\",\"material\"]:\n",
376
- " df[c] = df[c].apply(lambda x: x.item())\n",
377
- "\n",
378
- "for c in [\"smcAC\",\"smcDC\",\"vib_table\",\"vib_spindle\",\"AE_table\",\"AE_spindle\"]:\n",
379
- " df[c] = df[c].apply(lambda x: np.squeeze(x,1))\n",
380
- "\n",
381
- "df"
382
- ]
383
- },
384
- {
385
- "cell_type": "code",
386
- "execution_count": 19,
387
- "metadata": {},
388
- "outputs": [
389
- {
390
- "data": {
391
- "text/plain": [
392
- "0 1\n",
393
- "1 1\n",
394
- "2 1\n",
395
- "3 1\n",
396
- "4 1\n",
397
- " ..\n",
398
- "162 16\n",
399
- "163 16\n",
400
- "164 16\n",
401
- "165 16\n",
402
- "166 16\n",
403
- "Name: case, Length: 167, dtype: int64"
404
- ]
405
- },
406
- "execution_count": 19,
407
- "metadata": {},
408
- "output_type": "execute_result"
409
- }
410
- ],
411
- "source": [
412
- "df.to_parquet(\"data.parquet\")"
413
- ]
414
- },
415
- {
416
- "cell_type": "code",
417
- "execution_count": null,
418
- "metadata": {},
419
- "outputs": [],
420
- "source": [
421
- "# Export:\n",
422
- "df.to_json('mill/data.jsonl', orient='records', lines=True)"
423
- ]
424
- },
425
- {
426
- "cell_type": "code",
427
- "execution_count": 58,
428
- "metadata": {},
429
- "outputs": [
430
- {
431
- "name": "stdout",
432
- "output_type": "stream",
433
- "text": [
434
- "NpzFile 'mill/data.npz' with keys: arr_0\n"
435
- ]
436
- }
437
- ],
438
- "source": [
439
- "# reading data from npz file \n",
440
- "data = np.load(\"mill/data.npz\")\n",
441
- "with np.load('mill/data.npz') as data:\n",
442
- "\tprint(data)"
443
- ]
444
- },
445
- {
446
- "cell_type": "code",
447
- "execution_count": null,
448
- "metadata": {},
449
- "outputs": [],
450
- "source": []
451
- }
452
- ],
453
- "metadata": {
454
- "kernelspec": {
455
- "display_name": "base",
456
- "language": "python",
457
- "name": "python3"
458
- },
459
- "language_info": {
460
- "codemirror_mode": {
461
- "name": "ipython",
462
- "version": 3
463
- },
464
- "file_extension": ".py",
465
- "mimetype": "text/x-python",
466
- "name": "python",
467
- "nbconvert_exporter": "python",
468
- "pygments_lexer": "ipython3",
469
- "version": "3.11.0"
470
- }
471
- },
472
- "nbformat": 4,
473
- "nbformat_minor": 2
474
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
mill.mat DELETED
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:71486a857939d1416c86c7cf0c469d5e69c7c30495e01ec8a0e13aafd2a313cb
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- size 72575144