Notebook

Electricity production plants - Geo Visualisation¶

Data origins from https://opendata.swiss/en/dataset/elektrizitatsproduktionsanlagen

Loading data¶

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import pandas as pd
from ipyleaflet import Map, Marker, Popup
from ipywidgets import HTML

import geopandas as gpd
from shapely.geometry import Point

epp = pd.read_csv('../data/ch.bfe.elektrizitaetsproduktionsanlagen/ElectricityProductionPlant.csv', parse_dates=['BeginningOfOperation']).set_index('xtf_id')
epp

Coordinate System Transformation¶

The x,y values in the dataset are based on the LV95 coordinate system. To render the data we first transform the data into WGS84 (latitute/longitude) coordinates

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epp['geometry'] = epp.apply(lambda row: Point(row['_x'], row['_y']), axis=1)
gdf = gpd.GeoDataFrame(epp, geometry='geometry', crs='EPSG:2056')
gdf = gdf.to_crs(epsg=4326)
epp.head()

Sample IPLeaflet Map¶

Sample from https://ipyleaflet.readthedocs.io/en/latest/

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center = (46.030414,7.307939)

m = Map(center=center, zoom=15)

marker = Marker(location=center, draggable=True)

m.add_layer(marker);

display(m)

Put Power Plants on Map¶

Exercise: Create a map with all nuclear power plants in Switzerland

Create a 'Marker` for each nuclear power plant
Put the total power into the title of the Marker
(Optional) Display Municipality in the popup of the Marker
(Optional) Display the 100 largest water power plants with different colors (depending on the total power) as Circle.

Hints

Use pd.apply() with axis=1 to execute a function on each row of a DataFrame
Read the coordinates from a GeoPandas row by row.geometry.x and row.geometry.y, respectively
IPLeaflet Doc: https://ipyleaflet.readthedocs.io/en/latest/

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