Generated jupyter notebook cell ids (required for jupyter notebook format 4.5+) (#808)

* [ci/rtd_env] remove explicit requirement for nbformat

* [doc/sphinx] updated moved xarray intersphinx mapping

* generated ids

Author: marscher

doc/conf.py

@@ -281,7 +281,7 @@ def _copy_tut_files():
     "python": ("https://docs.python.org/3/", None),
     "numpy": ("https://numpy.org/doc/stable", None),
     "pandas": ("https://pandas.pydata.org/pandas-docs/stable", None),
-    "xarray": ("https://xarray.pydata.org/en/stable", None),
+    "xarray": ("https://docs.xarray.dev/en/stable/objects.inv", None),
     "scipy": (f"https://docs.scipy.org/doc/scipy-{_scipy_version}/", None),
     "matplotlib": ("https://matplotlib.org/stable", None),
     # "dask": ("https://docs.dask.org/en/latest", None),

doc/rtd_environment.yml

@@ -20,7 +20,6 @@ dependencies:
   # documentation
   - sphinx>=4.1.1
   - jinja2=3.0
-  - nbformat<5.5.0 # pending https://github.com/BAMWelDX/weldx/actions/runs/3125636543/jobs/5070212013
   - nbsphinx
   - sphinx-copybutton
   - pydata-sphinx-theme

tutorials/01_01_introduction.ipynb

@@ -2,6 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "id": "4182dcd6",
    "metadata": {},
    "source": [
     "# Introduction / Opening WelDX Files\n",
@@ -43,6 +44,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "ae81c166",
    "metadata": {
     "collapsed": false,
     "jupyter": {
@@ -63,6 +65,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "36c514ee",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -71,6 +74,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "e3ec375b",
    "metadata": {},
    "source": [
     "WelDX files usually have the extension `.weldx` or `.wx`, but any other is also possible as long as the content is valid.\n",
@@ -81,6 +85,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "630bd97c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,6 +94,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "0d183782",
    "metadata": {},
    "source": [
     "### Inspecting the file content in a Jupyter session\n",
@@ -104,6 +110,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "d7ac29d4",
    "metadata": {
     "tags": []
    },
@@ -114,6 +121,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "988d0409",
    "metadata": {},
    "source": [
     "### Inspecting the File content with pure Python\n",
@@ -129,6 +137,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "9863459a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -137,6 +146,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "85eb6e37",
    "metadata": {},
    "source": [
     "The `info` method lists the internal file structure converted to python objects.\n",
@@ -147,6 +157,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "b5d960ec",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -156,6 +167,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "84a697ce",
    "metadata": {},
    "source": [
     "The output confirms that the object we got is truly of type `VGroove`.\n",
@@ -164,6 +176,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "078d2b27",
    "metadata": {},
    "source": [
     "## Conclusion\n",