{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Lesson 5, Part B: Custom Plan to Lineup a Peak - Concise Summary" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "I Thu-11:14:28 - ############################################################ startup\n", "I Thu-11:14:28 - logging started\n", "I Thu-11:14:28 - logging level = 10\n", "I Thu-11:14:28 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\instrument\\collection.py\n", "I Thu-11:14:28 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\instrument\\mpl\\notebook.py\n", "I Thu-11:14:29 - bluesky framework\n", "I Thu-11:14:29 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\instrument\\framework\\check_python.py\n", "I Thu-11:14:29 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\instrument\\framework\\check_bluesky.py\n", "I Thu-11:14:31 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\instrument\\framework\\initialize.py\n", "I Thu-11:14:34 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\instrument\\framework\\metadata.py\n", "I Thu-11:14:34 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\instrument\\framework\\callbacks.py\n", "I Thu-11:14:35 - writing to SPEC file: c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\20200521-111435.dat\n", "I Thu-11:14:35 - >>>> Using default SPEC file name <<<<\n", "I Thu-11:14:35 - file will be created when bluesky ends its next scan\n", "I Thu-11:14:35 - to change SPEC file, use command: newSpecFile('title')\n", "I Thu-11:14:35 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\lessons\\instrument\\devices\\ideas\\lesson5.py\n", "I Thu-11:14:35 - c:\\Users\\Pete\\Documents\\projects\\bluesky_training\\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": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "Transient Scan ID: 1 Time: 2020-05-21 11:14:35\n", "Persistent Unique Scan ID: '090c0af6-d4af-4648-b5ee-d2fb44fb51c1'\n", "New 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", "+-----------+------------+------------+------------+\n", "generator rel_scan ['090c0af6'] (scan num: 1)\n", "I Thu-11:14:40 - starting rescan 1\n", "\n", "\n", "Transient Scan ID: 2 Time: 2020-05-21 11:14:40\n", "Persistent Unique Scan ID: '2a425be2-6333-4882-9d0e-fb94fc5d04da'\n", "New 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", "+-----------+------------+------------+------------+\n", "generator rel_scan ['2a425be2'] (scan num: 2)\n", "I Thu-11:14:46 - starting rescan 2\n", "\n", "\n", "Transient Scan ID: 3 Time: 2020-05-21 11:14:46\n", "Persistent Unique Scan ID: '7fb5afbd-5115-4174-9f2d-a9e0c1b41ca2'\n", "New 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", "+-----------+------------+------------+------------+\n", "generator rel_scan ['7fb5afbd'] (scan num: 3)\n", "I Thu-11:14:51 - starting rescan 3\n", "\n", "\n", "Transient Scan ID: 4 Time: 2020-05-21 11:14:51\n", "Persistent Unique Scan ID: '0c8a0d2c-45e2-4b96-9b18-d7edadfd9bfa'\n", "New 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", "+-----------+------------+------------+------------+\n", "generator rel_scan ['0c8a0d2c'] (scan num: 4)\n", "I Thu-11:14:56 - starting rescan 4\n", "\n", "\n", "Transient Scan ID: 5 Time: 2020-05-21 11:14:56\n", "Persistent Unique Scan ID: 'ff913577-ba58-4232-b0c7-75ed85a3b99a'\n", "New 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", "+-----------+------------+------------+------------+\n", "generator rel_scan ['ff913577'] (scan num: 5)\n", "I Thu-11:15:01 - starting rescan 5\n", "\n", "\n", "Transient Scan ID: 6 Time: 2020-05-21 11:15:01\n", "Persistent Unique Scan ID: 'cbab1c0f-735b-42f0-9a25-b5ee1cd99ffa'\n", "New 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", "+-----------+------------+------------+------------+\n", "generator rel_scan ['cbab1c0f'] (scan num: 6)\n", "I Thu-11:15:06 - summary results:\n", "======= ================== ====================\n", "scan_id center FWHM \n", "======= ================== ====================\n", "1 0.5217391304347827 0.08695652173913038 \n", "2 0.5551622593668892 0.02218910044666933 \n", "3 0.5551446917068981 0.021202868891197713\n", "4 0.5551184101136344 0.02085296234373646 \n", "5 0.5551337498836414 0.020713437341607355\n", "6 0.5551294671837574 0.020828361854811184\n", "======= ================== ====================\n", "\n" ] }, { "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')" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", "\r\n" ], "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "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 }