Added jupyter support

pyproject.toml

@@ -13,7 +13,7 @@ classifiers = [
     "Programming Language :: Python :: 3.11",
 ]
 description = "Bluesky tools for MX Beamlines"
-dependencies = ["bluesky", "ophyd", "pyepics"] 
+dependencies = ["bluesky", "ophyd", "pyepics", "jupyterlab", "matplotlib"] 
 dynamic = ["version"]
 license.file = "LICENSE"
 readme = "README.rst"

src/mx_bluesky/jupyter_example.ipynb

@@ -0,0 +1,73 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b712b364-878d-49c2-96d7-9269c0cb4317",
+   "metadata": {},
+   "source": [
+    "Setup for bluesky (see https://nsls-ii.github.io/bluesky/tutorial.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8bb8afd0-a6cb-40fd-8a88-fe99a5eba55c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bluesky import RunEngine\n",
+    "from bluesky.callbacks.best_effort import BestEffortCallback\n",
+    "\n",
+    "RE = RunEngine({})\n",
+    "\n",
+    "bec = BestEffortCallback()\n",
+    "\n",
+    "# Send all metadata/data captured to the BestEffortCallback.\n",
+    "RE.subscribe(bec)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16ff289d-3ae5-4834-8d3c-a3be871473b0",
+   "metadata": {},
+   "source": [
+    "Run a scan against a sim detector"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b56ec8e-9bc2-4b6e-8652-4f49cd8c5d93",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ophyd.sim import det, motor\n",
+    "from bluesky.plans import scan\n",
+    "dets = [det]   # just one in this case, but it could be more than one\n",
+    "\n",
+    "RE(scan(dets, motor, -1, 1, 10))"
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

start_jupyter.sh

@@ -0,0 +1,2 @@
+source .venv/bin/activate
+jupyter-lab --matplotlib=qt5