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Merged
merged 2 commits into from
Oct 12, 2025
Merged

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

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5fa5641
Remove %matplotlib inline
jorisvandenbossche Dec 16, 2024
f97c2b8
update fiona->pyogrio and update shapely imports
jorisvandenbossche Dec 16, 2024
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6 changes: 5 additions & 1 deletion notebooks/00-jupyter_introduction.ipynb
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Expand Up @@ -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",
Expand All @@ -950,7 +954,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.7"
"version": "3.12.8"
},
"nav_menu": {},
"toc": {
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2 changes: 1 addition & 1 deletion notebooks/00-jupyter_introduction.md
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Expand Up @@ -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
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6 changes: 4 additions & 2 deletions notebooks/01-introduction-tabular-data.ipynb
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Expand Up @@ -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)",
Expand All @@ -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": {
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2 changes: 1 addition & 1 deletion notebooks/01-introduction-tabular-data.md
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Expand Up @@ -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
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12 changes: 7 additions & 5 deletions notebooks/02-introduction-geospatial-data.ipynb
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6 changes: 2 additions & 4 deletions notebooks/02-introduction-geospatial-data.md
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Expand Up @@ -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
Expand All @@ -22,8 +22,6 @@ kernelspec:
---

```{code-cell} ipython3
%matplotlib inline

import pandas as pd
import geopandas
```
Expand All @@ -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:

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8 changes: 5 additions & 3 deletions notebooks/03-coordinate-reference-systems.ipynb
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Expand Up @@ -21,8 +21,6 @@
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
"import pandas as pd\n",
"import geopandas"
]
Expand Down Expand Up @@ -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",
Expand All @@ -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": {
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4 changes: 1 addition & 3 deletions notebooks/03-coordinate-reference-systems.md
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Expand Up @@ -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
Expand All @@ -22,8 +22,6 @@ kernelspec:
---

```{code-cell} ipython3
%matplotlib inline

import pandas as pd
import geopandas
```
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12 changes: 7 additions & 5 deletions notebooks/04-spatial-relationships-joins.ipynb
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Expand Up @@ -21,8 +21,6 @@
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
"import pandas as pd\n",
"import geopandas"
]
Expand Down Expand Up @@ -107,7 +105,7 @@
"metadata": {},
"outputs": [],
"source": [
"from shapely.geometry import LineString\n",
"from shapely import LineString\n",
"line = LineString([paris, brussels])"
]
},
Expand Down Expand Up @@ -608,7 +606,7 @@
"outputs": [],
"source": [
"# Import the Point geometry\n",
"from shapely.geometry import Point"
"from shapely import Point"
]
},
{
Expand Down Expand Up @@ -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",
Expand All @@ -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": {
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8 changes: 3 additions & 5 deletions notebooks/04-spatial-relationships-joins.md
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Expand Up @@ -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
Expand All @@ -22,8 +22,6 @@ kernelspec:
---

```{code-cell} ipython3
%matplotlib inline

import pandas as pd
import geopandas
```
Expand Down Expand Up @@ -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])
```

Expand Down Expand Up @@ -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
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8 changes: 6 additions & 2 deletions notebooks/05-spatial-operations-overlays.ipynb
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Expand Up @@ -253,7 +253,7 @@
"metadata": {},
"outputs": [],
"source": [
"from shapely.geometry import LineString\n",
"from shapely import LineString\n",
"box = LineString([(-10, 0), (50, 0)]).buffer(10, cap_style=3)"
]
},
Expand Down Expand Up @@ -2770,6 +2770,10 @@
],
"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",
Expand All @@ -2785,7 +2789,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.7"
"version": "3.12.8"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
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4 changes: 2 additions & 2 deletions notebooks/05-spatial-operations-overlays.md
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Expand Up @@ -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
Expand Down Expand Up @@ -107,7 +107,7 @@ africa = countries[countries.continent == 'Africa']
```

```{code-cell} ipython3
from shapely.geometry import LineString
from shapely import LineString
box = LineString([(-10, 0), (50, 0)]).buffer(10, cap_style=3)
```

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