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# Sphinx build info version 1
# This file records the configuration used when building these files. When it is not found, a full rebuild will be done.
config: d6d4dd102e5c6c3ee5e75e73f034af42
tags: 645f666f9bcd5a90fca523b33c5a78b7
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3 changes: 3 additions & 0 deletions _sources/about.md.txt
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# About this code

This documentation is under construction
46 changes: 46 additions & 0 deletions _sources/autoapi/eel_dashboard/index.rst.txt
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eel_dashboard
=============

.. py:module:: eel_dashboard
Functions
---------

.. autoapisummary::

eel_dashboard.get_wkdir
eel_dashboard.create_incfile
eel_dashboard.create_sets
eel_dashboard.create_CCCRRRAAA
eel_dashboard.create_setconnection
eel_dashboard.create_incfiles
eel_dashboard.interactive_geofilemaker


Module Contents
---------------

.. py:function:: get_wkdir()
.. py:function:: create_incfile(unique_processing)
The general wrapper for creating and saving .inc files,
because the creating of the IncFile class and saving it is the same everytime.
The unique processing of the .body content differs, however.

Args:
unique_processing (func): The unique processing per case
**incfile_kwargs: Keyword arguments to pass to IncFile

.. py:function:: create_sets(inc_file, geo_nodes_layer2: dict)
.. py:function:: create_CCCRRRAAA(inc_file, geo_nodes: dict)
.. py:function:: create_setconnection(inc_file, geo_nodes_layer1: dict)
.. py:function:: create_incfiles(output: Tuple[str, dict], path: str, set_prefix: str = '')
.. py:function:: interactive_geofilemaker()
12 changes: 12 additions & 0 deletions _sources/autoapi/index.rst.txt
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API Reference
=============

This page contains auto-generated API reference documentation [#f1]_.

.. toctree::
:titlesonly:

/autoapi/pybalmorel/index
/autoapi/eel_dashboard/index

.. [#f1] Created with `sphinx-autoapi <https://github.com/readthedocs/sphinx-autoapi>`_
265 changes: 265 additions & 0 deletions _sources/autoapi/pybalmorel/classes/index.rst.txt
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pybalmorel.classes
==================

.. py:module:: pybalmorel.classes
.. autoapi-nested-parse::

Created on 08.06.2024

@author: Mathias Berg Rosendal, PhD Student at DTU Management (Energy Economics & Modelling)



Classes
-------

.. autoapisummary::

pybalmorel.classes.MainResults
pybalmorel.classes.IncFile
pybalmorel.classes.Balmorel
pybalmorel.classes.TechData
pybalmorel.classes.GUI


Module Contents
---------------

.. py:class:: MainResults(files: Union[str, list, tuple], paths: Union[str, list, tuple] = '.', scenario_names: Union[str, list, tuple] = None, system_directory: str = None, result_type: str = 'balmorel')
.. py:attribute:: files
.. py:attribute:: paths
.. py:attribute:: sc
.. py:attribute:: type
.. py:attribute:: db
.. py:method:: get_result(symbol: str, cols: Tuple[list, None] = None) -> pandas.DataFrame
Get a certain result from the loaded gdx file(s) into a pandas DataFrame

Args:
symbol (str): The desired result, e.g. PRO_YCRAGF
cols (str, optional): Specify custom columns. Defaults to pre-defined formats.

Returns:
pd.DataFrame: The output DataFrame



.. py:method:: interactive_bar_chart(plot_style: str = 'light')
GUI for bar chart plotting



.. py:method:: plot_profile(commodity: str, year: int, scenario: str = 0, columns: str = 'Technology', region: str = 'ALL', style: str = 'light') -> Tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]
Plots the production profile of a commodity, in a year, for a certain scenario

Args:
commodity (str): The commodity (Electricity, Heat or Hydrogen)
year (int): The model year to plot
scenario (str, optional): Defaults to the first scenario in MainResults.
columns (str, optional): Technology or Fuel as . Defaults to 'Technology'.
region (str, optional): Which country, region or area to plot. Defaults to 'ALL'.
style (str, optional): Plot style, light or dark. Defaults to 'light'.

Returns:
Figure, Axes: The figure and axes objects for further manipulations



.. py:method:: plot_map(scenario: str, commodity: str, year: int, path_to_geofile: str = None, bypass_path: str = None, geo_file_region_column: str = 'id', style: str = 'light') -> Tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]
Plots the transmission capacities in a scenario, of a certain commodity

Args:
path_to_result (str): Path to the .gdx file
scenario (str): The scenario name
commodity (str): Electricity or hydrogen
year (int): Model year
path_to_geofile (str, optional): The path to the fitting geofile. Defaults to '../geofiles/2024 BalmorelMap.geojson' in package directory.
bypass_path (str, optional): Extra coordinates for transmission lines for beauty. Defaults to '../geofiles/bypass_lines' in package directory.
geo_file_region_column (str, optional): The columns containing the region names of MainResults. Defaults to 'id'.
style (str, optional): Plot style. Defaults to 'light'.

Returns:
Tuple[Figure, Axes]: The figure and axes objects of the plot



.. py:method:: _existing_func_wrapper(function, *args, **kwargs)
.. py:class:: IncFile(prefix: str = '', body: str = '', suffix: str = '', name: str = 'name', path: str = 'Balmorel/base/data/')
A useful class for creating .inc-files for GAMS models
Args:
prefix (str): The first part of the .inc file.
body (str): The main part of the .inc file.
suffix (str): The last part of the .inc file.
name (str): The name of the .inc file.
path (str): The path to save the file, defaults to 'Balmorel/base/data'.


.. py:attribute:: prefix
.. py:attribute:: body
.. py:attribute:: suffix
.. py:attribute:: name
.. py:attribute:: path
.. py:method:: body_concat(df: pandas.DataFrame)
Concatenate a body temporarily being a dataframe to another dataframe




.. py:method:: body_prepare(index: list, columns: list, values: str = 'Value', aggfunc: str = 'sum', fill_value: Union[str, int] = '')
.. py:method:: save()
.. py:class:: Balmorel(model_folder: str, gams_system_directory: str = None)
A class that recognises the Balmorel folder structure, can be used to run scenarios or results

Args:
model_folder (str): The top level folder of Balmorel, where base and simex are located


.. py:attribute:: _gams_system_directory
.. py:attribute:: path
.. py:attribute:: scenarios
:value: []



.. py:attribute:: input_data
.. py:method:: locate_results()
Locates results, which is faster than collecting them if you just want an overview



.. py:method:: collect_results()
Collects results



.. py:method:: run(scenario: str, cmd_line_options: dict = {})
.. py:method:: load_incfiles(scenario: str = 'base', use_provided_read_files: bool = True, read_file: str = 'Balmorel_ReadData', overwrite: bool = False)
Will load .inc files from the specific scenario

Args:
scenario (str, optional): The scenario that you . Defaults to 'base'.
use_provided_read_files (bool, optional): Use provided Balmorel_ReadData.gms and Balmorelbb4_ReadData.inc. Defaults to True.
read_file (str, optional): The name of the read file to be executed. Defaults to Balmorel_ReadData
overwrite (bool, optional): Will overwrite an existing %scenario%_input_data.gdx file from a previous .load_incfiles execution

Raises:
KeyError: _description_



.. py:class:: TechData
.. py:attribute:: files
:type: dict


.. py:attribute:: path
:type: str
:value: 'C:\\Users\\mathi\\gitRepos\\balmorel-preprocessing\\RawDataProcessing\\Data\\Technology Data'



.. py:method:: load(file: str)
.. py:method:: download_file(url, save_folder, filename=None)
Downloads a file from a given URL and saves it to a specified folder.
Args:
url (str): The URL of the file to download.
save_folder (str): The folder where the file should be saved.
filename (str, optional): The name to save the file as. If not provided, the filename is extracted from the URL.
Returns:
str: The full path to the saved file.
Raises:
requests.exceptions.RequestException: If the download fails.
Notes:
- The function ensures that the save folder exists.
- The file is downloaded in chunks to handle large files efficiently.
chunk_size:
The size of each chunk of data to be written to the file. In this case, it is set to 8192 bytes (8 KB).



.. py:method:: download_catalogue(file: str, save_to_folder: str = '.', domain: str = 'https://ens.dk/sites/ens.dk/files/Analyser/')
Downloads technology catalogue from DEA website

Args:
file (str): _description_
save_to_folder (str, optional): _description_. Defaults to '.'.
domain (_type_, optional): _description_. Defaults to "https://ens.dk/sites/ens.dk/files/Analyser/".



.. py:method:: download_all_catalogues(save_to_folder: str = '.')
.. py:class:: GUI
.. py:method:: bar_chart(MainResults_instance)
Interactive GUI to plot bar charts from MainResults

Args:
MainResults_instance (class): Loaded MainResults

Returns:
None: An interactive GUI is opened to plot bar charts



.. py:method:: geofilemaker()
Opens a GUI to interactively generate necessary .inc files for Balmorel geography

Returns:
None: An interactive GUI to generate geographic .inc files



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pybalmorel.formatting
=====================

.. py:module:: pybalmorel.formatting
.. autoapi-nested-parse::

Created on 03.06.2024

@author: Mathias Berg Rosendal, PhD Student at DTU Management (Energy Economics & Modelling)



Attributes
----------

.. autoapisummary::

pybalmorel.formatting.tech_colours
pybalmorel.formatting.fuel_colours
pybalmorel.formatting.balmorel_colours
pybalmorel.formatting.mberos_colours
pybalmorel.formatting.balmorel_symbol_columns
pybalmorel.formatting.balmorel_mainresults_symbol_columns
pybalmorel.formatting.optiflow_symbol_columns
pybalmorel.formatting.optiflow_mainresults_symbol_columns


Module Contents
---------------

.. py:data:: tech_colours
.. py:data:: fuel_colours
.. py:data:: balmorel_colours
.. py:data:: mberos_colours
.. py:data:: balmorel_symbol_columns
.. py:data:: balmorel_mainresults_symbol_columns
.. py:data:: optiflow_symbol_columns
.. py:data:: optiflow_mainresults_symbol_columns
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