pythermica package

Submodules

pythermica.analyse_nwk module

pythermica.analyse_nwk.analyse_GL_nwk_data(filename_gl, list_of_nodes_numbers, list_of_nodes_names)

read the gl.nwk file and generate the relation matrix,

with the same order as the list_of_nodes_numbers

Args:

filename_gl (str): filename of the *gl.nwk to process list_of_nodes_numbers (list): list of all the node numbers list_of_nodes_names (list): ist of the name of each node,

with the same order as list_of_nodes_numbers

Returns:

mat_GL (np.array): the coefficient matrice with GL links between each nodes

pythermica.analyse_nwk.analyse_GR_nwk_data(filename_gr: str, list_of_nodes_numbers: list, list_of_nodes_names: list)

read the gr.nwk file and generate the relation matrix,

with the same order as the list_of_nodes_numbers

Args:

filename_gr (str): filename of the *gr.nwk to process list_of_nodes_numbers (list): list of all the node numbers list_of_nodes_names (list): ist of the name of each node,

with the same order as list_of_nodes_numbers

Returns:

mat_GR (np.array): the coefficient matrice with GL links between each nodes

pythermica.analyse_nwk.extract_nodes(filename_nod)

Read the *.od.nwk file and generate the list of all nodes and their names

Args:

filename_nod (str): file name of the results in *.nod.nwk

Returns:

list_of_nodes_numbers [list]: list of all the node numbers, ordered

list_of_nodes_names [list]: list of the name of each node,

with the same order as list_of_nodes_numbers

pythermica.analyse_nwk.generate_correlation_matrixes(list_mats, list_node_names, list_titles, use_log=True, save_fig=False, filename=PosixPath('corr_matrix.png'), cmap='afmhot_r')

creat a Matrice figure of the node coefficients

Args:

list_mats (list of np.array): list of the coefficient matrices list_node_names (list): list of the node names, needs one for each node list_titles (list): list of the subplot titles, coerrespondes to list_mats use_log (bool, optional): if True, then compute the log10 of the matrice before ploting . Defaults to True. save_fig (bool, optional): if True, then save the figure on a PNG file. Defaults to False. filename (Path, optional): name of the figure file, used if save_fig. Defaults to “”.

Returns:

fig, axarr [matplotlib.Figure and Axies]: the matplotlig objects

pythermica.analyse_nwk.get_all_dict_of_gb_lines(filename_gb, list_of_nodes_numbers, index_lines_with_new_node, lines_with_new_node)

open the file and read all the coefficients

pythermica.analyse_nwk.get_nth_max_coupling(mat, list_of_nodes_names, n=10)

Read the matrice and print the biggest elements

Args:

mat (numpy.array): the coefficients matrix list_of_nodes_names (list): the list of names n (int, optional): number of maximum element to print. Defaults to 10.

pythermica.analyse_nwk.get_useful_files(root)

Look for the useful fils in a folder

Args:

root (str): relative or absolute name of the folder

pythermica.analyse_nwk.parse_one_node_lines(lines_selected)

pythermica.analyse_nwk.read_gb_file(filename_gb)

Read a first time the BG fiel to have a big picture

Args:

filename_gb ([type]): [description]

Returns:

[type]: [description]

pythermica.analyse_nwk.trans_dict_of_list_to_mat(dol, list_of_nodes_numbers)

transform the dist of list to a np.array

Args:

dol (dict of list): the dict of list generated earlier

Returns:

mat_gb: the np.array matrix

pythermica.hdf5_process module

pythermica.hdf5_process.descend_obj(obj, sep='\t')

Iterate through groups in a HDF5 file and prints the groups and datasets names and datasets attributes

pythermica.hdf5_process.h5dump(path, group='/')

print HDF5 file metadata

group: you can give a specific group, defaults to the root group

pythermica.plot_variables module

Created on Wed Jun 9 17:39:13 2021

@author: Zineb Bouaoudate

pythermica.plot_variables.figure_over_nodes(therm_results, temperatures, times, n_orbits, path_list, case_names, nodes_to_process=['/Powercard P60', '/Printed Circuits', '/Transponders (1)', '/Batteries'], path_root='./', name_yaxis='Temperature', filename_prefix='', progress_bar=True)

generate a bunch of figures to compare simulations

pythermica.plot_variables.totalInternalDissipation(therm_results, internal_dissipations, time, n_orbits, path_list, case_names, nodes_to_process=None, path_root='./', filename_prefix='Total_IQ')

generate a bunch of figures to compare simulations

pythermica.pythermica module

Module contents

Top-level package for pythermica.