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@mducle
Created October 9, 2024 15:18
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{
"cells": [
{
"cell_type": "markdown",
"id": "31bff45f-84a4-47dd-b957-b014c02945bb",
"metadata": {},
"source": [
"Notebook tested on Windows 10, in a conda environment setup with:\n",
"\n",
"```\n",
"mamba create -n lucan python=3.10 vaex jupyter\n",
"mamba activate lucan\n",
"python -m pip install pace_neutrons\n",
"cd d:/src/lucan\n",
"python -m pip install -e .\n",
"jupyter notebook\n",
"```\n",
"\n",
"Data files can be download from [this Zenodo archive](https://zenodo.org/records/5020485)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "37a2bd78-e898-4851-931d-9fd9ebca3f15",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Config not found, using default settings. To preserve settings between sessions run `lucan.settings.settings.save()`.\n"
]
}
],
"source": [
"from pathlib import Path\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import lucan\n",
"from lucan.constants import Emode\n",
"from lucan.gen_sqw import gen_sqw_from_nxspe\n",
"from lucan.goniometers import Goniometer\n",
"from lucan.samples import Sample\n",
"from lucan.sqw import SQw\n",
"from lucan.projections import INSTRUMENT_PROJECTION, LinearProjection\n",
"\n",
"# Set up\n",
"h5path = Path(\"d:/src/edatc/data/\")\n",
"nxspes = [Path(h5path / f\"map{i}_ei400.nxspe\") for i in range(15052, 15098)]\n",
"out_file = Path(\"d:/src/lucan/output.h5\")\n",
"\n",
"gon = Goniometer.from_zip(u=[1, 0, 0], v=[0, 1, 0],\n",
" psi=range(0,91,2), omega=0., dpsi=0., gl=0., gs=0.,\n",
" degrees=True)\n",
"sample = Sample(\"geoff\", [2.87, 2.87, 2.87], [90.0, 90.0, 90.0])\n",
"\n",
"matlab_ref = np.load('matlab_reference.npy', allow_pickle=True)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a8893aa2-93c5-4786-97e7-0cba217e230c",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Processing tmp files: 100%|████████████████████████████████████████████████████████████| 46/46 [00:56<00:00, 1.24s/it]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.01s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h \n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.01s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 2.67s = 0.0m = 0.0h \n",
"sum [########################################] 100.00% elapsed time : 2.66s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 2.64s = 0.0m = 0.0h\n",
" "
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"D:\\src\\lucan\\src\\lucan\\sqw.py:417: UserWarning: rename 'ren' to 'E' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.\n",
" .rename(dict(zip(tmp_coords, proj.INDICES)))\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"export(hdf5) [########################################] 100.00% elapsed time : 99.30s = 1.7m = 0.0h \n",
" "
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\vqq25957\\AppData\\Local\\mambaforge\\envs\\lucan\\lib\\site-packages\\h5py\\_hl\\dataset.py:920: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n",
" val = numpy.asarray(val, order='C', dtype=dt)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: total: 4min 38s\n",
"Wall time: 2min 57s\n"
]
}
],
"source": [
"%%time\n",
"out = gen_sqw_from_nxspe(\n",
" nxspes,\n",
" out_file,\n",
" efix=400,\n",
" emode=Emode.DIRECT,\n",
" proj=INSTRUMENT_PROJECTION,\n",
" goniometer=gon,\n",
" grid_size=[10]*4,\n",
" ranges=None,\n",
" detpar=None,\n",
" instrument=None,\n",
" sample=sample,\n",
" accumulate=False,\n",
" clean=False,\n",
" tmp_only=False,\n",
" transform_sqw=None,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "63417ba1-4bff-49d2-9a91-feb83669f24a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.01s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.01s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h \n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.01s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 1.56s = 0.0m = 0.0h \n",
"sum [########################################] 100.00% elapsed time : 1.55s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 1.53s = 0.0m = 0.0h\n",
" # signal qx qy qz en run_id det_id en_id signal_e\n",
"0 0.0 1.6945266010557116 -0.8638955621688464 -0.18846922977998656 90.0 0 282 23 0.0\n",
"1 0.0 1.694047838220527 -0.8639298120940669 -0.15420795985754585 90.0 0 283 23 0.0\n",
"2 0.16878370974268497 1.6936647838050494 -0.863957141273847 -0.11994316834316307 90.0 0 284 23 0.6465066218924945\n",
"3 0.0 1.6933774606210061 -0.8639775077729456 -0.08567559170089198 90.0 0 285 23 0.0\n",
"4 0.0 1.6931858805717255 -0.8639907947224079 -0.05140606303132459 90.0 0 286 23 0.0\n",
"... ... ... ... ... ... ... ... ... ...\n",
"60,387 2.5648316660796855 0.7482273393434178 -2.3279742819618408 0.05304098699239441 70.0 9 1505 18 2.5652492926143187\n",
"60,388 0.0 0.748423039406621 -2.3280053891121772 0.08840034524548962 70.0 9 1506 18 0.0\n",
"60,389 0.0 0.7487166032324989 -2.3280518473024925 0.12375755371266155 70.0 9 1507 18 0.0\n",
"60,390 0.0 0.7491080981049208 -2.328113097088921 0.15911185125452074 70.0 9 1508 18 0.0\n",
"60,391 0.0 0.7495972685241818 -2.3281905817840043 0.19446242977740286 70.0 9 1509 18 0.0\n"
]
},
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Errors')"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 1500x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = SQw.load(out_file)\n",
"\n",
"ca = x.cut(LinearProjection([1,1,0], [-1,1,0], scale='aaa'), ((-6.05, 6.05, 0.1), (-2.2, -1.8), (-0.2, 0.2), (70, 90)))\n",
"print(ca.data)\n",
"\n",
"horx, hory, hore = (np.squeeze(matlab_ref[()]['w1a']['p'][0]), \n",
" np.squeeze(matlab_ref[()]['w1a']['s']),\n",
" np.sqrt(np.squeeze(matlab_ref[()]['w1a']['e']))) # Horace actually stores variance in the \"e\" field\n",
"horx = (horx[1:] + horx[:-1]) / 2\n",
"lucx, lucy, luce = (ca.dnd.data.a.to_numpy(),\n",
" np.nan_to_num(np.squeeze(ca.dnd.data.signal.to_numpy())),\n",
" np.nan_to_num(np.squeeze(ca.dnd.data.error.to_numpy())))\n",
"fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
"ax[0].plot(horx, hory, 'o', label='Horace')\n",
"ax[0].plot(lucx, lucy, '-', label='Lucan')\n",
"ax[0].set_xlim((-5, 6))\n",
"ax[0].set_xlabel('QH (Angstrom)')\n",
"ax[0].legend(loc='upper left')\n",
"ax[0].set_title('Data')\n",
"\n",
"ax[1].plot(horx, hore, 'o', label='Horace')\n",
"ax[1].plot(lucx, luce, '-', label='Lucan')\n",
"ax[1].set_xlim((-5, 6))\n",
"ax[1].set_xlabel('QH (Angstrom)')\n",
"ax[1].legend(loc='upper left')\n",
"ax[1].set_title('Errors')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "25ad361d-48ff-435e-9d35-d6f736856634",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cut 1 from [1. 0. 0.] to [2. 0. 0.] done, 191850 pixels retained.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"D:\\src\\lucan\\src\\lucan\\sqw.py:417: UserWarning: rename 'ren' to 'E' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.\n",
" .rename(dict(zip(tmp_coords, proj.INDICES)))\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cut 2 from [2. 0. 0.] to [2. 1. 0.] done, 176530 pixels retained.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"D:\\src\\lucan\\src\\lucan\\sqw.py:417: UserWarning: rename 'ren' to 'E' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.\n",
" .rename(dict(zip(tmp_coords, proj.INDICES)))\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cut 3 from [2. 1. 0.] to [1. 1. 0.] done, 121220 pixels retained.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"D:\\src\\lucan\\src\\lucan\\sqw.py:417: UserWarning: rename 'ren' to 'E' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.\n",
" .rename(dict(zip(tmp_coords, proj.INDICES)))\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cut 4 from [1. 1. 0.] to [1. 1. 0.5] done, 45553 pixels retained.\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 5 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# pace_python has old version of Horace v4 which had doubled qwidths (before PR1711)\n",
"# - so to compare with calc above we use double the qwidth (==0.6) here instead.\n",
"lspg = x.spaghetti_plot([[1, 0, 0], [2, 0, 0], [2, 1, 0], [1, 1, 0], [1, 1, 0.5]], qbins=0.05, qwidth=0.6, ebins=[0,250,4.], \n",
" plot=True, vmin=0, vmax=5, cmap='plasma')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "ff1db1ac-f2b2-4306-85ad-cba930469b0f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"9.06 s ± 200 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
}
],
"source": [
"%%timeit\n",
"rn = set()\n",
"for *_, chunk in x.data.evaluate_iterator(x.data.run_id, chunk_size=100_000):\n",
" rn = rn.union(chunk)\n",
"print(rn)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "99f8f411-0c4b-46d3-ad01-95930f7e9cea",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45}\n",
"9.13 s ± 75.9 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
}
],
"source": [
"%%timeit\n",
"rn = set()\n",
"for *_, chunk in x.data.evaluate_iterator(x.data.run_id, chunk_size=100_000):\n",
" rn.update(chunk)\n",
"print(rn)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "bf16517c-2d51-47d4-9098-75ee897efe00",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0, 30, 43, 34, 36, 4, 40, 12, 38, 3, 45, 23, 9, 25, 5, 17, 18, 29, 32, 41, 33, 37, 15, 27, 6, 42, 39, 1, 19, 24, 21, 16, 31, 14, 22, 26, 35, 13, 20, 28, 7, 44, 8, 10, 2, 11]\n",
"[0, 30, 43, 34, 36, 4, 40, 12, 38, 3, 45, 23, 9, 25, 5, 17, 18, 29, 32, 41, 33, 37, 15, 27, 6, 42, 39, 1, 19, 24, 21, 16, 31, 14, 22, 26, 35, 13, 20, 28, 7, 44, 8, 10, 2, 11]\n",
"[0, 30, 43, 34, 36, 4, 40, 12, 38, 3, 45, 23, 9, 25, 5, 17, 18, 29, 32, 41, 33, 37, 15, 27, 6, 42, 39, 1, 19, 24, 21, 16, 31, 14, 22, 26, 35, 13, 20, 28, 7, 44, 8, 10, 2, 11]\n",
"[0, 30, 43, 34, 36, 4, 40, 12, 38, 3, 45, 23, 9, 25, 5, 17, 18, 29, 32, 41, 33, 37, 15, 27, 6, 42, 39, 1, 19, 24, 21, 16, 31, 14, 22, 26, 35, 13, 20, 28, 7, 44, 8, 10, 2, 11]\n",
"[0, 30, 43, 34, 36, 4, 40, 12, 38, 3, 45, 23, 9, 25, 5, 17, 18, 29, 32, 41, 33, 37, 15, 27, 6, 42, 39, 1, 19, 24, 21, 16, 31, 14, 22, 26, 35, 13, 20, 28, 7, 44, 8, 10, 2, 11]\n",
"[0, 30, 43, 34, 36, 4, 40, 12, 38, 3, 45, 23, 9, 25, 5, 17, 18, 29, 32, 41, 33, 37, 15, 27, 6, 42, 39, 1, 19, 24, 21, 16, 31, 14, 22, 26, 35, 13, 20, 28, 7, 44, 8, 10, 2, 11]\n",
"[0, 30, 43, 34, 36, 4, 40, 12, 38, 3, 45, 23, 9, 25, 5, 17, 18, 29, 32, 41, 33, 37, 15, 27, 6, 42, 39, 1, 19, 24, 21, 16, 31, 14, 22, 26, 35, 13, 20, 28, 7, 44, 8, 10, 2, 11]\n",
"[0, 30, 43, 34, 36, 4, 40, 12, 38, 3, 45, 23, 9, 25, 5, 17, 18, 29, 32, 41, 33, 37, 15, 27, 6, 42, 39, 1, 19, 24, 21, 16, 31, 14, 22, 26, 35, 13, 20, 28, 7, 44, 8, 10, 2, 11]\n",
"309 ms ± 10.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
}
],
"source": [
"%%timeit\n",
"print(x.data.run_id.unique())"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "be9e5a4b-f28e-4ddb-97a7-43c69a299cdc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h \n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"sum [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 0.00s = 0.0m = 0.0h\n",
"mean [########################################] 100.00% elapsed time : 1.49s = 0.0m = 0.0h \n",
"sum [########################################] 100.00% elapsed time : 1.47s = 0.0m = 0.0h\n",
"count [########################################] 100.00% elapsed time : 1.46s = 0.0m = 0.0h\n",
" # signal qx qy qz en run_id det_id en_id signal_e\n",
"0 0.006859539063742901 1.4466025304186392 -0.6524042762453677 -0.19207501024269094 78.0 0 26 20 0.1298611159270195\n",
"1 2.456868033105518 1.5241561203081186 -0.6483394125216483 -0.19087826955628426 82.0 0 26 21 2.4606827868489205\n",
"2 2.5073945379270137 1.4461140760770768 -0.6524304969379786 -0.15715772406762335 78.0 0 27 20 2.5358704256726083\n",
"3 0.05658643399555397 1.5236707093254136 -0.6483654698438674 -0.15617853868407364 82.0 0 27 21 0.3813036860599348\n",
"4 0.0 1.4457232184293538 -0.652450384648953 -0.12223696029647861 78.0 0 28 20 0.0\n",
"... ... ... ... ... ... ... ... ... ...\n",
"238,687 0.0 6.847799956770639 6.33374005402052 0.052067792664493164 82.0 9 32545 21 0.0\n",
"238,688 2.7620169549045053 6.847899870628242 6.333573150213069 0.08677876951195902 82.0 9 32546 21 2.7624982064422925\n",
"238,689 0.0 6.848049403104465 6.333322611856268 0.12148760141188955 82.0 9 32547 21 0.0\n",
"238,690 0.0 6.848249279671527 6.332988895819948 0.15619365697526508 82.0 9 32548 21 0.0\n",
"238,691 0.0 6.8484986390607006 6.332571514444187 0.19089628260027505 82.0 9 32549 21 0.0\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x242e4c22e30>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"j = x.cut(LinearProjection([-1, 1, 0], [1, 1, 0]), [(-3.025, 3.025, 0.05), (-3.014, 3.014, 0.03), (-0.1, 0.1), (75., 85.)])\n",
"print(j.data)\n",
"j.dnd.data.signal.plot(x=\"a\", y=\"b\", cmap=\"plasma\", vmin=0.)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "0883a689-6c18-4f1a-a1cc-bcde1a596de0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"12.3 ms ± 540 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
]
}
],
"source": [
"%%timeit\n",
"jmem = j.to_mem()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "68a24dd1-29ca-4f48-9b77-d4efc1fe50cc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'vaex.dataframe.DataFrameLocal'>\n"
]
}
],
"source": [
"print(type(jmem))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ca352f8a-379a-427c-95a1-356c8d392253",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "35b23ac9-1d6a-4453-aaca-88d291276dc4",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 36,
"id": "397044ac-ab8f-4ac4-aff8-73fa3c8a0aa9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"153 μs ± 3.26 μs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n"
]
}
],
"source": [
"%%timeit\n",
"jmem = j.data.materialize()"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "f21f01cb-418b-4ab8-86fd-cec5aab29f77",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'vaex.dataframe.DataFrameLocal'>\n"
]
}
],
"source": [
"print(type(jmem))"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "5ee8d3e8-46f0-45b4-a435-b0274b60488d",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 5.93it/s]\n",
"100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 6.80it/s]\n",
"100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 5.85it/s]\n",
"100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 6.14it/s]\n",
"100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 6.49it/s]\n",
"100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 5.87it/s]\n",
"100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 6.11it/s]\n",
"100%|████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 5.68it/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"329 ms ± 19.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"%%timeit\n",
"rinsp = j.inspect_runs([1,2])"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "2d20dca5-678a-4dfb-9c4d-c0b2d9795635",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[<lucan.sqw.DND object at 0x00000242E39E74F0>, <lucan.sqw.DND object at 0x00000242CEB5F4F0>]\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x242e4c963e0>"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(rinsp)\n",
"rinsp[0].plot(x=\"a\", y=\"b\")"
]
},
{
"attachments": {
"c0a64af3-76c8-4cd0-a53f-8c514380320e.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"id": "a26cc4b5-74fa-47c1-9c6b-3a6e7d304ca2",
"metadata": {},
"source": [
"Matlab run_inspector\n",
"\n",
"![image.png](attachment:c0a64af3-76c8-4cd0-a53f-8c514380320e.png)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6eea5475-ee56-45b6-9c10-8fb1f517517b",
"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": "3.10.15"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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