Djalim Simaila
fb2bb6e9ce
✨ feat(data_processing.py): add function to calculate morphological indicators from discrete data The variable name teta_diffs was changed to theta_diffs to improve semantics. A new function was added to calculate morphological indicators from discrete data. The function calculates Tortuosity, Volume, Surface, Mean radius, Standard deviation of radius, Sigma r tot, MI_l, and MI_p. 🔥 refactor(input.py): remove unused result_file_path parameter from ScannedObject constructor and from_xyz_file method ✨ feat(input.py): add encoding parameter to open method in from_obj_file and from_xyz_file methods The result_file_path parameter was not being used in the ScannedObject constructor and from_xyz_file method, so it was removed to simplify the code. The encoding parameter was added to the open method in the from_obj_file and from_xyz_file methods to ensure that the files are opened with the correct encoding. 🐛 fix(output.py): add utf-8 encoding when writing to output file ✨ feat(output.py): remove unused import and function argument, improve code readability The fix adds the utf-8 encoding when writing to the output file to avoid encoding issues. The feat removes the unused import and function argument to improve code readability. The function format_data now only takes the necessary arguments and the unused import is removed. 🐛 fix(main_window.py): fix typo in function name ✨ feat(main_window.py): add persistence to pre-processed data The fix corrects a typo in the function name get_true_theta_from_x_y. The feat adds persistence to the pre-processed data by storing the raw data, discrete data, and advanced data in the main window. This avoids re-computation of the data when switching between tabs. 🎨 style(MainWindow.ui): add export_advanced_metrics button to the UI 🎨 style(UI_MainWindow.py): add export_advanced_metrics button to the UI 🎨 style(ressources_rc.py): update the resource file 🐛 fix(data_extraction.py): fix typo in function name get_mean_teta to get_mean_theta The changes add a new button to the UI named "export_advanced_metrics" which allows the user to export variables. The resource file is updated to reflect the changes. The typo in the function name get_mean_teta is fixed to get_mean_theta.
65 lines
2.0 KiB
Python
65 lines
2.0 KiB
Python
"""
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Created on Mon Apr 17 2023
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@name: output.py
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@desc: Output file formatting and saving
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@auth: Djalim Simaila
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@e-mail: djalim.simaila@inrae.fr
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"""
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from utils.settings.SettingManager import SettingManager
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def format_data(data:dict, separator:str, selected_columns:list = None) -> str:
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"""
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Format the data to be saved in the output file.
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:param data: Data to be formatted
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:param selected_columns: Columns to be saved (in the specified order)
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:param separator: Separator of the columns
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:return: Formatted data
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Example:
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>>> data = {
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... 'col1': [1, 2, 3],
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... 'col2': [4, 5, 6],
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... 'col3': [7, 8, 9]
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... }
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>>> format_data(data, separator=';')
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'col1;col2;col3
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1 ;4 ;7
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2 ;5 ;8
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3 ;6 ;9
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'
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"""
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# Get the setting for the output file
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is_prettier = SettingManager.get_instance().get_setting('pretiffy_output_file')
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output = ''
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# If the columns are not specified, we take all the columns from dict
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if selected_columns is None:
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selected_columns = list(data.keys())
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# Write the columns headers
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for column_name in selected_columns:
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if is_prettier:
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output += column_name.ljust(len(column_name) if len(column_name) > 8 else 9 ) + separator
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else:
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output += column_name + separator
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output += '\n'
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# Write the columns values
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for i in range(len(data[selected_columns[0]])):
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for column in selected_columns:
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if is_prettier:
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output += str(data[column][i]).ljust(len(column) if len(column) > 8 else 9 ) + separator
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else:
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output += str(data[column][i]) + separator
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output += '\n'
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return output
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def save_output_file(output_file:str, content:str):
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"""
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Save the output file.
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:param output_file: Path to the output file
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:param content: Content of the output file
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"""
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with open(output_file, 'w',encoding='utf-8') as file:
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file.write(content)
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