Small fixes after course (remove %matplotlib inline, update shapely imports) (#64)

Author: jorisvandenbossche

notebooks/00-jupyter_introduction.ipynb

@@ -935,6 +935,10 @@
   }
  ],
  "metadata": {
+  "jupytext": {
+   "cell_metadata_filter": "-run_control,-deletable,-editable,-jupyter,-slideshow",
+   "notebook_metadata_filter": "-jupytext.cell_metadata_filter,-jupytext.notebook_metadata_filter"
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -950,7 +954,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.12.8"
   },
   "nav_menu": {},
   "toc": {

notebooks/00-jupyter_introduction.md

@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.16.4
+    jupytext_version: 1.16.5
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python

notebooks/01-introduction-tabular-data.ipynb

@@ -5473,7 +5473,9 @@
  "metadata": {
   "celltoolbar": "Nbtutor - export exercises",
   "jupytext": {
-   "formats": "ipynb,md:myst"
+   "cell_metadata_filter": "-run_control,-deletable,-editable,-jupyter,-slideshow",
+   "formats": "ipynb,md:myst",
+   "notebook_metadata_filter": "-jupytext.cell_metadata_filter,-jupytext.notebook_metadata_filter"
   },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
@@ -5490,7 +5492,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.12.8"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

notebooks/01-introduction-tabular-data.md

@@ -5,7 +5,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.16.4
+    jupytext_version: 1.16.5
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python

notebooks/02-introduction-geospatial-data.ipynb

@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.16.4
+    jupytext_version: 1.16.5
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python
@@ -22,8 +22,6 @@ kernelspec:
 ---
 
 ```{code-cell} ipython3
-%matplotlib inline
-
 import pandas as pd
 import geopandas
 ```
@@ -34,7 +32,7 @@ import geopandas
 
 Geospatial data is often available from specific GIS file formats or data stores, like ESRI shapefiles, GeoJSON files, geopackage files, PostGIS (PostgreSQL) database, ...
 
-We can use the GeoPandas library to read many of those GIS file formats (relying on the `fiona` library under the hood, which is an interface to GDAL/OGR), using the `geopandas.read_file` function.
+We can use the GeoPandas library to read many of those GIS file formats (relying on the `pyogrio` library under the hood, which is an interface to GDAL/OGR), using the `geopandas.read_file` function.
 
 For example, let's start by reading a shapefile with all the countries of the world (adapted from http://www.naturalearthdata.com/downloads/110m-cultural-vectors/110m-admin-0-countries/, zip file is available in the `/data` directory), and inspect the data:
 

notebooks/02-introduction-geospatial-data.md

@@ -21,8 +21,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
-    "\n",
     "import pandas as pd\n",
     "import geopandas"
    ]
@@ -992,6 +990,10 @@
  ],
  "metadata": {
   "celltoolbar": "Nbtutor - export exercises",
+  "jupytext": {
+   "cell_metadata_filter": "-run_control,-deletable,-editable,-jupyter,-slideshow",
+   "notebook_metadata_filter": "-jupytext.cell_metadata_filter,-jupytext.notebook_metadata_filter"
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -1007,7 +1009,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.12.8"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

notebooks/03-coordinate-reference-systems.ipynb

@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.16.4
+    jupytext_version: 1.16.5
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python
@@ -22,8 +22,6 @@ kernelspec:
 ---
 
 ```{code-cell} ipython3
-%matplotlib inline
-
 import pandas as pd
 import geopandas
 ```

notebooks/03-coordinate-reference-systems.md

@@ -21,8 +21,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
-    "\n",
     "import pandas as pd\n",
     "import geopandas"
    ]
@@ -107,7 +105,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from shapely.geometry import LineString\n",
+    "from shapely import LineString\n",
     "line = LineString([paris, brussels])"
    ]
   },
@@ -608,7 +606,7 @@
    "outputs": [],
    "source": [
     "# Import the Point geometry\n",
-    "from shapely.geometry import Point"
+    "from shapely import Point"
    ]
   },
   {
@@ -2816,6 +2814,10 @@
   }
  ],
  "metadata": {
+  "jupytext": {
+   "cell_metadata_filter": "-run_control,-deletable,-editable,-jupyter,-slideshow",
+   "notebook_metadata_filter": "-jupytext.cell_metadata_filter,-jupytext.notebook_metadata_filter"
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -2831,7 +2833,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.12.8"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

notebooks/04-spatial-relationships-joins.ipynb

@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.16.4
+    jupytext_version: 1.16.5
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python
@@ -22,8 +22,6 @@ kernelspec:
 ---
 
 ```{code-cell} ipython3
-%matplotlib inline
-
 import pandas as pd
 import geopandas
 ```
@@ -67,7 +65,7 @@ brussels = cities.loc[cities['name'] == 'Brussels', 'geometry'].item()
 And a linestring:
 
 ```{code-cell} ipython3
-from shapely.geometry import LineString
+from shapely import LineString
 line = LineString([paris, brussels])
 ```
 
@@ -204,7 +202,7 @@ The location of the Eiffel Tower is: x of 648237.3 and y of 6862271.9
 
 ```{code-cell} ipython3
 # Import the Point geometry
-from shapely.geometry import Point
+from shapely import Point
 ```
 
 ```{code-cell} ipython3