lessons/lesson5_advanced.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": "I Thu-11:14:28 - ############################################################ startup\nI Thu-11:14:28 - logging started\nI Thu-11:14:28 - logging level = 10\nI Thu-11:14:28 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\collection.py\nI Thu-11:14:28 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\mpl\\notebook.py\nI Thu-11:14:29 - bluesky framework\nI Thu-11:14:29 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\framework\\check_python.py\nI Thu-11:14:29 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\framework\\check_bluesky.py\nI Thu-11:14:31 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\framework\\initialize.py\nI Thu-11:14:34 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\framework\\metadata.py\nI Thu-11:14:34 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\framework\\callbacks.py\nI Thu-11:14:35 - writing to SPEC file: c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\20200521-111435.dat\nI Thu-11:14:35 -    >>>>   Using default SPEC file name   <<<<\nI Thu-11:14:35 -    file will be created when bluesky ends its next scan\nI Thu-11:14:35 -    to change SPEC file, use command:   newSpecFile('title')\nI Thu-11:14:35 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\devices\\ideas\\lesson5.py\nI Thu-11:14:35 - c:\\Users\\Pete\\Documents\\projects\\use_bluesky\\lessons\\instrument\\plans\\ideas\\lesson5.py\n"
    }
   ],
   "source": [
    "from instrument.collection import *\n",
    "from instrument.devices.ideas.lesson5 import motor, noisy\n",
    "from instrument.plans.ideas.lesson5 import lineupScans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for jupyterlab ...\n",
    "# https://stackoverflow.com/a/51932652\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "outputPrepend"
    ]
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "\n\nTransient Scan ID: 1     Time: 2020-05-21 11:14:35\nPersistent Unique Scan ID: '090c0af6-d4af-4648-b5ee-d2fb44fb51c1'\nNew stream: 'primary'\n+-----------+------------+------------+------------+\n|   seq_num |       time |      motor |      noisy |\n+-----------+------------+------------+------------+\n|         1 | 11:14:35.7 |   -2.00000 |          0 |\n|         2 | 11:14:35.9 |   -1.91304 |          0 |\n|         3 | 11:14:36.0 |   -1.82609 |          0 |\n|         4 | 11:14:36.1 |   -1.73913 |          0 |\n|         5 | 11:14:36.2 |   -1.65217 |          0 |\n|         6 | 11:14:36.2 |   -1.56522 |          0 |\n|         7 | 11:14:36.3 |   -1.47826 |          0 |\n|         8 | 11:14:36.4 |   -1.39130 |          0 |\n|         9 | 11:14:36.6 |   -1.30435 |          0 |\n|        10 | 11:14:36.7 |   -1.21739 |          0 |\n|        11 | 11:14:36.8 |   -1.13043 |          0 |\n|        12 | 11:14:36.9 |   -1.04348 |          0 |\n|        13 | 11:14:37.0 |   -0.95652 |          0 |\n|        14 | 11:14:37.1 |   -0.86957 |          0 |\n|        15 | 11:14:37.2 |   -0.78261 |          0 |\n|        16 | 11:14:37.3 |   -0.69565 |          0 |\n|        17 | 11:14:37.4 |   -0.60870 |          0 |\n|        18 | 11:14:37.5 |   -0.52174 |          0 |\n|        19 | 11:14:37.6 |   -0.43478 |          0 |\n|        20 | 11:14:37.7 |   -0.34783 |          0 |\n|        21 | 11:14:37.9 |   -0.26087 |          0 |\n|        22 | 11:14:38.0 |   -0.17391 |          0 |\n|        23 | 11:14:38.1 |   -0.08696 |          0 |\n|        24 | 11:14:38.2 |    0.00000 |          0 |\n|        25 | 11:14:38.3 |    0.08696 |          0 |\n|        26 | 11:14:38.5 |    0.17391 |          0 |\n|        27 | 11:14:38.6 |    0.26087 |          0 |\n|        28 | 11:14:38.7 |    0.34783 |          0 |\n|        29 | 11:14:38.8 |    0.43478 |          0 |\n|        30 | 11:14:38.9 |    0.52174 |        170 |\n|        31 | 11:14:39.0 |    0.60870 |          0 |\n|        32 | 11:14:39.1 |    0.69565 |          0 |\n|        33 | 11:14:39.2 |    0.78261 |          0 |\n|        34 | 11:14:39.2 |    0.86957 |          0 |\n|        35 | 11:14:39.3 |    0.95652 |          0 |\n|        36 | 11:14:39.4 |    1.04348 |          0 |\n|        37 | 11:14:39.5 |    1.13043 |          0 |\n|        38 | 11:14:39.6 |    1.21739 |          0 |\n|        39 | 11:14:39.7 |    1.30435 |          0 |\n|        40 | 11:14:39.8 |    1.39130 |          0 |\n|        41 | 11:14:39.9 |    1.47826 |          0 |\n|        42 | 11:14:40.0 |    1.56522 |          0 |\n|        43 | 11:14:40.1 |    1.65217 |          0 |\n|        44 | 11:14:40.2 |    1.73913 |          0 |\n|        45 | 11:14:40.3 |    1.82609 |          0 |\n|        46 | 11:14:40.4 |    1.91304 |          0 |\n|        47 | 11:14:40.5 |    2.00000 |          0 |\n+-----------+------------+------------+------------+\ngenerator rel_scan ['090c0af6'] (scan num: 1)\nI Thu-11:14:40 - starting rescan 1\n\n\nTransient Scan ID: 2     Time: 2020-05-21 11:14:40\nPersistent Unique Scan ID: '2a425be2-6333-4882-9d0e-fb94fc5d04da'\nNew stream: 'primary'\n+-----------+------------+------------+------------+\n|   seq_num |       time |      motor |      noisy |\n+-----------+------------+------------+------------+\n|         1 | 11:14:41.0 |    0.43478 |          0 |\n|         2 | 11:14:41.1 |    0.43856 |          0 |\n|         3 | 11:14:41.3 |    0.44234 |          0 |\n|         4 | 11:14:41.4 |    0.44612 |          0 |\n|         5 | 11:14:41.6 |    0.44991 |          0 |\n|         6 | 11:14:41.7 |    0.45369 |          0 |\n|         7 | 11:14:41.8 |    0.45747 |          0 |\n|         8 | 11:14:42.0 |    0.46125 |          0 |\n|         9 | 11:14:42.0 |    0.46503 |          0 |\n|        10 | 11:14:42.2 |    0.46881 |          0 |\n|        11 | 11:14:42.3 |    0.47259 |          0 |\n|        12 | 11:14:42.4 |    0.47637 |          0 |\n|        13 | 11:14:42.6 |    0.48015 |          0 |\n|        14 | 11:14:42.7 |    0.48393 |          0 |\n|        15 | 11:14:42.8 |    0.48771 |          0 |\n|        16 | 11:14:42.9 |    0.49149 |          0 |\n|        17 | 11:14:43.0 |    0.49527 |          0 |\n|        18 | 11:14:43.2 |    0.49905 |          0 |\n|        19 | 11:14:43.3 |    0.50284 |          0 |\n|        20 | 11:14:43.3 |    0.50662 |          0 |\n|        21 | 11:14:43.4 |    0.51040 |          1 |\n|        22 | 11:14:43.5 |    0.51418 |          4 |\n|        23 | 11:14:43.6 |    0.51796 |         37 |\n|        24 | 11:14:43.7 |    0.52174 |        169 |\n|        25 | 11:14:43.8 |    0.52552 |        665 |\n|        26 | 11:14:43.9 |    0.52930 |       2156 |\n|        27 | 11:14:44.0 |    0.53308 |       6132 |\n|        28 | 11:14:44.1 |    0.53686 |      14171 |\n|        29 | 11:14:44.2 |    0.54064 |      28740 |\n|        30 | 11:14:44.4 |    0.54442 |      48997 |\n|        31 | 11:14:44.4 |    0.54820 |      71394 |\n|        32 | 11:14:44.5 |    0.55198 |      89425 |\n|        33 | 11:14:44.6 |    0.55577 |      94182 |\n|        34 | 11:14:44.7 |    0.55955 |      84221 |\n|        35 | 11:14:44.8 |    0.56333 |      64664 |\n|        36 | 11:14:44.9 |    0.56711 |      41987 |\n|        37 | 11:14:45.1 |    0.57089 |      23121 |\n|        38 | 11:14:45.2 |    0.57467 |      10870 |\n|        39 | 11:14:45.3 |    0.57845 |       4308 |\n|        40 | 11:14:45.4 |    0.58223 |       1470 |\n|        41 | 11:14:45.5 |    0.58601 |        414 |\n|        42 | 11:14:45.6 |    0.58979 |        116 |\n|        43 | 11:14:45.7 |    0.59357 |         21 |\n|        44 | 11:14:45.8 |    0.59735 |          3 |\n|        45 | 11:14:45.9 |    0.60113 |          2 |\n|        46 | 11:14:45.9 |    0.60491 |          0 |\n|        47 | 11:14:46.0 |    0.60870 |          0 |\n+-----------+------------+------------+------------+\ngenerator rel_scan ['2a425be2'] (scan num: 2)\nI Thu-11:14:46 - starting rescan 2\n\n\nTransient Scan ID: 3     Time: 2020-05-21 11:14:46\nPersistent Unique Scan ID: '7fb5afbd-5115-4174-9f2d-a9e0c1b41ca2'\nNew stream: 'primary'\n+-----------+------------+------------+------------+\n|   seq_num |       time |      motor |      noisy |\n+-----------+------------+------------+------------+\n|         1 | 11:14:46.5 |    0.53297 |       5939 |\n|         2 | 11:14:46.6 |    0.53394 |       7420 |\n|         3 | 11:14:46.7 |    0.53490 |       9324 |\n|         4 | 11:14:46.8 |    0.53587 |      11781 |\n|         5 | 11:14:46.9 |    0.53683 |      13918 |\n|         6 | 11:14:47.0 |    0.53780 |      17220 |\n|         7 | 11:14:47.1 |    0.53876 |      20747 |\n|         8 | 11:14:47.2 |    0.53973 |      24533 |\n|         9 | 11:14:47.3 |    0.54069 |      28989 |\n|        10 | 11:14:47.4 |    0.54166 |      33724 |\n|        11 | 11:14:47.5 |    0.54262 |      38901 |\n|        12 | 11:14:47.6 |    0.54359 |      44151 |\n|        13 | 11:14:47.8 |    0.54455 |      49877 |\n|        14 | 11:14:47.8 |    0.54551 |      55650 |\n|        15 | 11:14:47.9 |    0.54648 |      61574 |\n|        16 | 11:14:48.0 |    0.54744 |      67105 |\n|        17 | 11:14:48.1 |    0.54841 |      72833 |\n|        18 | 11:14:48.2 |    0.54937 |      77953 |\n|        19 | 11:14:48.3 |    0.55034 |      82438 |\n|        20 | 11:14:48.4 |    0.55130 |      86118 |\n|        21 | 11:14:48.5 |    0.55227 |      89741 |\n|        22 | 11:14:48.6 |    0.55323 |      92300 |\n|        23 | 11:14:48.7 |    0.55420 |      93778 |\n|        24 | 11:14:48.8 |    0.55516 |      93723 |\n|        25 | 11:14:48.9 |    0.55613 |      93403 |\n|        26 | 11:14:49.0 |    0.55709 |      91770 |\n|        27 | 11:14:49.1 |    0.55806 |      89259 |\n|        28 | 11:14:49.1 |    0.55902 |      86094 |\n|        29 | 11:14:49.2 |    0.55999 |      82284 |\n|        30 | 11:14:49.3 |    0.56095 |      77638 |\n|        31 | 11:14:49.4 |    0.56192 |      72604 |\n|        32 | 11:14:49.5 |    0.56288 |      67242 |\n|        33 | 11:14:49.6 |    0.56384 |      61318 |\n|        34 | 11:14:49.7 |    0.56481 |      55509 |\n|        35 | 11:14:49.8 |    0.56577 |      49665 |\n|        36 | 11:14:49.9 |    0.56674 |      43910 |\n|        37 | 11:14:50.0 |    0.56770 |      38255 |\n|        38 | 11:14:50.1 |    0.56867 |      33384 |\n|        39 | 11:14:50.2 |    0.56963 |      28498 |\n|        40 | 11:14:50.3 |    0.57060 |      24398 |\n|        41 | 11:14:50.4 |    0.57156 |      20557 |\n|        42 | 11:14:50.5 |    0.57253 |      16792 |\n|        43 | 11:14:50.6 |    0.57349 |      14103 |\n|        44 | 11:14:50.7 |    0.57446 |      11565 |\n|        45 | 11:14:50.8 |    0.57542 |       9159 |\n|        46 | 11:14:50.9 |    0.57639 |       7383 |\n|        47 | 11:14:51.0 |    0.57735 |       5895 |\n+-----------+------------+------------+------------+\ngenerator rel_scan ['7fb5afbd'] (scan num: 3)\nI Thu-11:14:51 - starting rescan 3\n\n\nTransient Scan ID: 4     Time: 2020-05-21 11:14:51\nPersistent Unique Scan ID: '0c8a0d2c-45e2-4b96-9b18-d7edadfd9bfa'\nNew stream: 'primary'\n+-----------+------------+------------+------------+\n|   seq_num |       time |      motor |      noisy |\n+-----------+------------+------------+------------+\n|         1 | 11:14:51.5 |    0.53394 |       7468 |\n|         2 | 11:14:51.6 |    0.53486 |       9208 |\n|         3 | 11:14:51.7 |    0.53579 |      11360 |\n|         4 | 11:14:51.8 |    0.53671 |      13619 |\n|         5 | 11:14:51.9 |    0.53763 |      16801 |\n|         6 | 11:14:52.0 |    0.53855 |      19720 |\n|         7 | 11:14:52.1 |    0.53947 |      23580 |\n|         8 | 11:14:52.2 |    0.54039 |      27476 |\n|         9 | 11:14:52.3 |    0.54132 |      31866 |\n|        10 | 11:14:52.4 |    0.54224 |      36698 |\n|        11 | 11:14:52.5 |    0.54316 |      41865 |\n|        12 | 11:14:52.6 |    0.54408 |      47150 |\n|        13 | 11:14:52.7 |    0.54500 |      52712 |\n|        14 | 11:14:52.8 |    0.54593 |      58342 |\n|        15 | 11:14:52.9 |    0.54685 |      63446 |\n|        16 | 11:14:53.0 |    0.54777 |      69158 |\n|        17 | 11:14:53.0 |    0.54869 |      74981 |\n|        18 | 11:14:53.1 |    0.54961 |      79357 |\n|        19 | 11:14:53.2 |    0.55054 |      83030 |\n|        20 | 11:14:53.3 |    0.55146 |      88150 |\n|        21 | 11:14:53.3 |    0.55238 |      89988 |\n|        22 | 11:14:53.4 |    0.55330 |      92487 |\n|        23 | 11:14:53.5 |    0.55422 |      93545 |\n|        24 | 11:14:53.7 |    0.55514 |      94301 |\n|        25 | 11:14:53.8 |    0.55607 |      93510 |\n|        26 | 11:14:53.9 |    0.55699 |      92659 |\n|        27 | 11:14:54.0 |    0.55791 |      89856 |\n|        28 | 11:14:54.1 |    0.55883 |      86661 |\n|        29 | 11:14:54.2 |    0.55975 |      82795 |\n|        30 | 11:14:54.3 |    0.56068 |      79177 |\n|        31 | 11:14:54.4 |    0.56160 |      74595 |\n|        32 | 11:14:54.5 |    0.56252 |      68717 |\n|        33 | 11:14:54.6 |    0.56344 |      63488 |\n|        34 | 11:14:54.7 |    0.56436 |      57839 |\n|        35 | 11:14:54.8 |    0.56529 |      52325 |\n|        36 | 11:14:54.9 |    0.56621 |      47011 |\n|        37 | 11:14:55.0 |    0.56713 |      41482 |\n|        38 | 11:14:55.1 |    0.56805 |      36857 |\n|        39 | 11:14:55.2 |    0.56897 |      31819 |\n|        40 | 11:14:55.3 |    0.56989 |      27310 |\n|        41 | 11:14:55.4 |    0.57082 |      23424 |\n|        42 | 11:14:55.5 |    0.57174 |      19744 |\n|        43 | 11:14:55.6 |    0.57266 |      16456 |\n|        44 | 11:14:55.7 |    0.57358 |      13938 |\n|        45 | 11:14:55.8 |    0.57450 |      11252 |\n|        46 | 11:14:55.9 |    0.57543 |       9133 |\n|        47 | 11:14:55.9 |    0.57635 |       7355 |\n+-----------+------------+------------+------------+\ngenerator rel_scan ['0c8a0d2c'] (scan num: 4)\nI Thu-11:14:56 - starting rescan 4\n\n\nTransient Scan ID: 5     Time: 2020-05-21 11:14:56\nPersistent Unique Scan ID: 'ff913577-ba58-4232-b0c7-75ed85a3b99a'\nNew stream: 'primary'\n+-----------+------------+------------+------------+\n|   seq_num |       time |      motor |      noisy |\n+-----------+------------+------------+------------+\n|         1 | 11:14:56.4 |    0.53427 |       7972 |\n|         2 | 11:14:56.5 |    0.53517 |       9770 |\n|         3 | 11:14:56.6 |    0.53608 |      12054 |\n|         4 | 11:14:56.7 |    0.53699 |      14699 |\n|         5 | 11:14:56.8 |    0.53789 |      17439 |\n|         6 | 11:14:57.0 |    0.53880 |      20888 |\n|         7 | 11:14:57.1 |    0.53971 |      24327 |\n|         8 | 11:14:57.2 |    0.54061 |      28296 |\n|         9 | 11:14:57.3 |    0.54152 |      32649 |\n|        10 | 11:14:57.4 |    0.54243 |      37878 |\n|        11 | 11:14:57.5 |    0.54333 |      42984 |\n|        12 | 11:14:57.6 |    0.54424 |      47960 |\n|        13 | 11:14:57.7 |    0.54515 |      53420 |\n|        14 | 11:14:57.8 |    0.54605 |      58788 |\n|        15 | 11:14:57.9 |    0.54696 |      65091 |\n|        16 | 11:14:58.1 |    0.54787 |      69984 |\n|        17 | 11:14:58.1 |    0.54877 |      75111 |\n|        18 | 11:14:58.2 |    0.54968 |      80031 |\n|        19 | 11:14:58.3 |    0.55059 |      83867 |\n|        20 | 11:14:58.4 |    0.55149 |      87211 |\n|        21 | 11:14:58.5 |    0.55240 |      90346 |\n|        22 | 11:14:58.6 |    0.55331 |      92721 |\n|        23 | 11:14:58.7 |    0.55421 |      93943 |\n|        24 | 11:14:58.8 |    0.55512 |      94433 |\n|        25 | 11:14:58.9 |    0.55603 |      93890 |\n|        26 | 11:14:59.0 |    0.55693 |      92443 |\n|        27 | 11:14:59.1 |    0.55784 |      90227 |\n|        28 | 11:14:59.2 |    0.55875 |      86968 |\n|        29 | 11:14:59.3 |    0.55965 |      84250 |\n|        30 | 11:14:59.4 |    0.56056 |      79616 |\n|        31 | 11:14:59.5 |    0.56146 |      75465 |\n|        32 | 11:14:59.6 |    0.56237 |      70180 |\n|        33 | 11:14:59.7 |    0.56328 |      64458 |\n|        34 | 11:14:59.8 |    0.56418 |      59300 |\n|        35 | 11:14:59.9 |    0.56509 |      53559 |\n|        36 | 11:15:00.0 |    0.56600 |      48203 |\n|        37 | 11:15:00.2 |    0.56690 |      43093 |\n|        38 | 11:15:00.3 |    0.56781 |      37729 |\n|        39 | 11:15:00.4 |    0.56872 |      33280 |\n|        40 | 11:15:00.4 |    0.56962 |      28844 |\n|        41 | 11:15:00.5 |    0.57053 |      24541 |\n|        42 | 11:15:00.6 |    0.57144 |      21040 |\n|        43 | 11:15:00.7 |    0.57234 |      17668 |\n|        44 | 11:15:00.8 |    0.57325 |      14679 |\n|        45 | 11:15:00.8 |    0.57416 |      12278 |\n|        46 | 11:15:00.9 |    0.57506 |       9925 |\n|        47 | 11:15:01.0 |    0.57597 |       8033 |\n+-----------+------------+------------+------------+\ngenerator rel_scan ['ff913577'] (scan num: 5)\nI Thu-11:15:01 - starting rescan 5\n\n\nTransient Scan ID: 6     Time: 2020-05-21 11:15:01\nPersistent Unique Scan ID: 'cbab1c0f-735b-42f0-9a25-b5ee1cd99ffa'\nNew stream: 'primary'\n+-----------+------------+------------+------------+\n|   seq_num |       time |      motor |      noisy |\n+-----------+------------+------------+------------+\n|         1 | 11:15:01.6 |    0.53442 |       8315 |\n|         2 | 11:15:01.7 |    0.53532 |      10168 |\n|         3 | 11:15:01.8 |    0.53622 |      12518 |\n|         4 | 11:15:01.9 |    0.53712 |      15197 |\n|         5 | 11:15:02.0 |    0.53802 |      17924 |\n|         6 | 11:15:02.1 |    0.53892 |      21375 |\n|         7 | 11:15:02.2 |    0.53982 |      25121 |\n|         8 | 11:15:02.3 |    0.54072 |      29240 |\n|         9 | 11:15:02.4 |    0.54162 |      33192 |\n|        10 | 11:15:02.5 |    0.54253 |      37912 |\n|        11 | 11:15:02.6 |    0.54343 |      43546 |\n|        12 | 11:15:02.7 |    0.54433 |      48567 |\n|        13 | 11:15:02.8 |    0.54523 |      54321 |\n|        14 | 11:15:02.9 |    0.54613 |      59448 |\n|        15 | 11:15:03.0 |    0.54703 |      64584 |\n|        16 | 11:15:03.1 |    0.54793 |      70566 |\n|        17 | 11:15:03.1 |    0.54883 |      74946 |\n|        18 | 11:15:03.2 |    0.54973 |      79810 |\n|        19 | 11:15:03.3 |    0.55063 |      83778 |\n|        20 | 11:15:03.4 |    0.55153 |      87723 |\n|        21 | 11:15:03.4 |    0.55243 |      91026 |\n|        22 | 11:15:03.5 |    0.55333 |      92493 |\n|        23 | 11:15:03.6 |    0.55423 |      93087 |\n|        24 | 11:15:03.7 |    0.55513 |      93751 |\n|        25 | 11:15:03.8 |    0.55603 |      93784 |\n|        26 | 11:15:04.0 |    0.55693 |      92186 |\n|        27 | 11:15:04.1 |    0.55784 |      90709 |\n|        28 | 11:15:04.2 |    0.55874 |      87352 |\n|        29 | 11:15:04.3 |    0.55964 |      83722 |\n|        30 | 11:15:04.4 |    0.56054 |      79497 |\n|        31 | 11:15:04.5 |    0.56144 |      75354 |\n|        32 | 11:15:04.6 |    0.56234 |      70044 |\n|        33 | 11:15:04.7 |    0.56324 |      65133 |\n|        34 | 11:15:04.8 |    0.56414 |      59699 |\n|        35 | 11:15:05.0 |    0.56504 |      54098 |\n|        36 | 11:15:05.1 |    0.56594 |      48645 |\n|        37 | 11:15:05.2 |    0.56684 |      43078 |\n|        38 | 11:15:05.3 |    0.56774 |      38394 |\n|        39 | 11:15:05.4 |    0.56864 |      33488 |\n|        40 | 11:15:05.5 |    0.56954 |      29224 |\n|        41 | 11:15:05.6 |    0.57044 |      24963 |\n|        42 | 11:15:05.7 |    0.57134 |      21435 |\n|        43 | 11:15:05.8 |    0.57224 |      17869 |\n|        44 | 11:15:05.9 |    0.57315 |      14802 |\n|        45 | 11:15:06.1 |    0.57405 |      12356 |\n|        46 | 11:15:06.1 |    0.57495 |      10289 |\n|        47 | 11:15:06.3 |    0.57585 |       8364 |\n+-----------+------------+------------+------------+\ngenerator rel_scan ['cbab1c0f'] (scan num: 6)\nI Thu-11:15:06 - summary results:\n======= ================== ====================\nscan_id center             FWHM                \n======= ================== ====================\n1       0.5217391304347827 0.08695652173913038 \n2       0.5551622593668892 0.02218910044666933 \n3       0.5551446917068981 0.021202868891197713\n4       0.5551184101136344 0.02085296234373646 \n5       0.5551337498836414 0.020713437341607355\n6       0.5551294671837574 0.020828361854811184\n======= ================== ====================\n\n"
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     "output_type": "execute_result",
     "data": {
      "text/plain": "('090c0af6-d4af-4648-b5ee-d2fb44fb51c1',\n '2a425be2-6333-4882-9d0e-fb94fc5d04da',\n '7fb5afbd-5115-4174-9f2d-a9e0c1b41ca2',\n '0c8a0d2c-45e2-4b96-9b18-d7edadfd9bfa',\n 'ff913577-ba58-4232-b0c7-75ed85a3b99a',\n 'cbab1c0f-735b-42f0-9a25-b5ee1cd99ffa')"
     },
     "metadata": {},
     "execution_count": 3
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "RE(lineupScans(noisy, motor, -2, 2, numScans=6, numPts=47))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.7 64-bit ('bluesky_2020_5': conda)",
   "language": "python",
   "name": "python37764bitbluesky20205conda414c31c00fba48028d4852f6340d7af7"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7-final"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}