pypsa-eur/scripts/prepare_links_p_nom.py

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#!/usr/bin/env python
"""
Extracts capacities of HVDC links from `Wikipedia <https://en.wikipedia.org/wiki/List_of_HVDC_projects>`_.
Relevant Settings
-----------------
.. code:: yaml
enable:
prepare_links_p_nom:
.. seealso::
Documentation of the configuration file ``config.yaml`` at
:ref:`toplevel_cf`
Inputs
------
*None*
Outputs
-------
- ``data/links_p_nom.csv``: A plain download of https://en.wikipedia.org/wiki/List_of_HVDC_projects#Europe plus extracted coordinates.
Description
-----------
*None*
"""
import pandas as pd
import numpy as np
if __name__ == "__main__":
links_p_nom = pd.read_html('https://en.wikipedia.org/wiki/List_of_HVDC_projects', header=0, match="SwePol")[0]
def extract_coordinates(s):
regex = (r"(\d{1,2})°(\d{1,2})(\d{1,2})″(N|S) "
r"(\d{1,2})°(\d{1,2})(\d{1,2})″(E|W)")
e = s.str.extract(regex, expand=True)
lat = (e[0].astype(float) + (e[1].astype(float) + e[2].astype(float)/60.)/60.)*e[3].map({'N': +1., 'S': -1.})
lon = (e[4].astype(float) + (e[5].astype(float) + e[6].astype(float)/60.)/60.)*e[7].map({'E': +1., 'W': -1.})
return lon, lat
m_b = links_p_nom["Power (MW)"].str.contains('x').fillna(False)
def multiply(s): return s.str[0].astype(float) * s.str[1].astype(float)
links_p_nom.loc[m_b, "Power (MW)"] = links_p_nom.loc[m_b, "Power (MW)"].str.split('x').pipe(multiply)
links_p_nom["Power (MW)"] = links_p_nom["Power (MW)"].str.extract("[-/]?([\d.]+)", expand=False).astype(float)
links_p_nom['x1'], links_p_nom['y1'] = extract_coordinates(links_p_nom['Converterstation 1'])
links_p_nom['x2'], links_p_nom['y2'] = extract_coordinates(links_p_nom['Converterstation 2'])
links_p_nom.dropna(subset=['x1', 'y1', 'x2', 'y2']).to_csv(snakemake.output[0], index=False)