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import atlite
import geopandas as gpd
import pandas as pd

country_shapes = gpd.read_file("country_shapes.geojson").set_index('name')['geometry']

runoff = []

for year in range(1941, 2024):

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# -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: : 2023-2024 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: MIT

# This script helps to generate a scenarios.yaml file for PyPSA-Eur.
# You can modify the template to your needs and define all possible combinations of config values that should be considered.

if "snakemake" in globals():
    filename = snakemake.output[0]

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% (changes from apalike to cell by Tom Schneider are public domain)
%
%    version = 2.03 of cell.sty 2009 Jul 21
% 2009 Jul 21, 2.03: upgrade documentation
% 2009 Jul 15, 2.02: no bib indent
% 2009 Jul 14, 2.01: simplify
% 2009 Jul 13, 2.00: modernize to match current version of Cell
% 1998 Mar  3, 1.00: original version of cell.sty

%   Dr. Thomas D. Schneider

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% (changes from apalike to cell by Tom Schneider are public domain.)
%
% BibTex `cell' bibliography style
%    version = 1.28 of cell.bst 2009 Jul 21
% 2009 Jul 21, 1.28 upgrade documentation
% 2009 Jul 13, 1.27 suppress notes in article
% 2009 Jul 11, 1.26 upgrade to modern cell: &->and, give titles, \emph{vol}
% 1994 Oct 15, 1.25 from version = 1.27 of jmb.bst 1992 October 22

% This bibliography style is for the journal Cell.

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def create_view_object(cbgn_no_duplicate,buses_region):
    """Create object to view gas network data."""
    cbgn_no_duplicate=cbgn_no_duplicate.merge(buses_region,left_on='buses_start',right_on='name')
    cbgn_no_duplicate=cbgn_no_duplicate.merge(buses_region,left_on='buses_destination',right_on='name')

    cbgn_no_duplicate.geometry_x=cbgn_no_duplicate.geometry_x.apply(lambda x: x.centroid)
    cbgn_no_duplicate.geometry_y=cbgn_no_duplicate.geometry_y.apply(lambda x: x.centroid)
    cbgn_no_duplicate['geometry']=list(zip(cbgn_no_duplicate['geometry_x'],
                                           cbgn_no_duplicate['geometry_y']))

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