def generate_fig(main):
def data_received(tokens_freq_files, tokens_stats_files):
if tokens_freq_files:
measure_dispersion = settings['generation_settings']['measure_dispersion']
measure_adjusted_freq = settings['generation_settings']['measure_adjusted_freq']
col_dispersion = main.settings_global['measures_dispersion'][measure_dispersion]['col']
col_adjusted_freq = main.settings_global['measures_adjusted_freq'][measure_adjusted_freq]['col']
if settings['fig_settings']['use_data'] == main.tr('Frequency'):
wordless_fig_freq.wordless_fig_freq(main, tokens_freq_files,
settings = settings['fig_settings'],
label_x = main.tr('Tokens'))
else:
if settings['fig_settings']['use_data'] == col_dispersion:
tokens_stat_files = {token: numpy.array(stats_files)[:, 0]
for token, stats_files in tokens_stats_files.items()}
label_y = col_dispersion
elif settings['fig_settings']['use_data'] == col_adjusted_freq:
tokens_stat_files = {token: numpy.array(stats_files)[:, 1]
for token, stats_files in tokens_stats_files.items()}
label_y = col_adjusted_freq
wordless_fig_stat.wordless_fig_stat(main, tokens_stat_files,
settings = settings['fig_settings'],
label_x = main.tr('Tokens'),
label_y = label_y)
wordless_msg.wordless_msg_generate_fig_success(main)
else:
wordless_msg_box.wordless_msg_box_no_results(main)
wordless_msg.wordless_msg_generate_fig_error(main)
dialog_progress.accept()
if tokens_freq_files:
wordless_fig.show_fig()
settings = main.settings_custom['wordlist']
files = main.wordless_files.get_selected_files()
if wordless_checking_file.check_files_on_loading(main, files):
dialog_progress = wordless_dialog_misc.Wordless_Dialog_Progress_Process_Data(main)
worker_process_data = Wordless_Worker_Process_Data_Wordlist_Fig(main, dialog_progress, data_received)
thread_process_data = wordless_threading.Wordless_Thread_Process_Data(worker_process_data)
thread_process_data.start()
dialog_progress.exec_()
thread_process_data.quit()
thread_process_data.wait()
else:
wordless_msg.wordless_msg_generate_fig_error(main)
def data_received(keywords_freq_files, keywords_stats_files):
if keywords_freq_files:
text_test_significance = settings['generation_settings']['test_significance']
text_measure_effect_size = settings['generation_settings']['measure_effect_size']
(text_test_stat,
text_p_value,
text_bayes_factor) = main.settings_global['tests_significance']['keywords'][text_test_significance]['cols']
text_effect_size = main.settings_global['measures_effect_size']['keywords'][text_measure_effect_size]['col']
if settings['fig_settings']['use_data'] == main.tr('Frequency'):
wordless_fig_freq.wordless_fig_freq_ref(main, keywords_freq_files,
ref_file = ref_file,
settings = settings['fig_settings'],
label_x = main.tr('Keywords'))
else:
if settings['fig_settings']['use_data'] == text_test_stat:
keywords_stat_files = {keyword: numpy.array(stats_files)[:, 0]
for keyword, stats_files in keywords_stats_files.items()}
label_y = text_test_stat
elif settings['fig_settings']['use_data'] == text_p_value:
keywords_stat_files = {keyword: numpy.array(stats_files)[:, 1]
for keyword, stats_files in keywords_stats_files.items()}
label_y = text_p_value
elif settings['fig_settings']['use_data'] == text_bayes_factor:
keywords_stat_files = {keyword: numpy.array(stats_files)[:, 2]
for keyword, stats_files in keywords_stats_files.items()}
label_y = text_bayes_factor
elif settings['fig_settings']['use_data'] == text_effect_size:
keywords_stat_files = {keyword: numpy.array(stats_files)[:, 3]
for keyword, stats_files in keywords_stats_files.items()}
label_y = text_effect_size
wordless_fig_stat.wordless_fig_stat_ref(main, keywords_stat_files,
ref_file = ref_file,
settings = settings['fig_settings'],
label_y = label_y)
wordless_msg.wordless_msg_generate_fig_success(main)
else:
wordless_msg_box.wordless_msg_box_no_results(main)
wordless_msg.wordless_msg_generate_fig_error(main)
dialog_progress.accept()
if keywords_freq_files:
wordless_fig.show_fig()
def data_received(tokens_freq_files, tokens_stats_files):
if tokens_freq_files:
measure_dispersion = settings['generation_settings'][
'measure_dispersion']
measure_adjusted_freq = settings['generation_settings'][
'measure_adjusted_freq']
col_dispersion = main.settings_global['measures_dispersion'][
measure_dispersion]['col']
col_adjusted_freq = main.settings_global['measures_adjusted_freq'][
measure_adjusted_freq]['col']
if settings['fig_settings']['use_data'] == main.tr('Frequency'):
wordless_fig_freq.wordless_fig_freq(
main,
tokens_freq_files,
settings=settings['fig_settings'],
label_x=main.tr('Tokens'))
else:
if settings['fig_settings']['use_data'] == col_dispersion:
tokens_stat_files = {
token: numpy.array(stats_files)[:, 0]
for token, stats_files in tokens_stats_files.items()
}
label_y = col_dispersion
elif settings['fig_settings']['use_data'] == col_adjusted_freq:
tokens_stat_files = {
token: numpy.array(stats_files)[:, 1]
for token, stats_files in tokens_stats_files.items()
}
label_y = col_adjusted_freq
wordless_fig_stat.wordless_fig_stat(
main,
tokens_stat_files,
settings=settings['fig_settings'],
label_x=main.tr('Tokens'),
label_y=label_y)
wordless_msg.wordless_msg_generate_fig_success(main)
else:
wordless_msg_box.wordless_msg_box_no_results(main)
wordless_msg.wordless_msg_generate_fig_error(main)
dialog_progress.accept()
if tokens_freq_files:
wordless_fig.show_fig()
def generate_fig(main):
def data_received(keywords_freq_files, keywords_stats_files):
if keywords_freq_files:
text_test_significance = settings['generation_settings'][
'test_significance']
text_measure_effect_size = settings['generation_settings'][
'measure_effect_size']
(text_test_stat, text_p_value,
text_bayes_factor) = main.settings_global['tests_significance'][
'keywords'][text_test_significance]['cols']
text_effect_size = main.settings_global['measures_effect_size'][
'keywords'][text_measure_effect_size]['col']
if settings['fig_settings']['use_data'] == main.tr('Frequency'):
wordless_fig_freq.wordless_fig_freq_ref(
main,
keywords_freq_files,
ref_file=ref_file,
settings=settings['fig_settings'],
label_x=main.tr('Keywords'))
else:
if settings['fig_settings']['use_data'] == text_test_stat:
keywords_stat_files = {
keyword: numpy.array(stats_files)[:, 0]
for keyword, stats_files in
keywords_stats_files.items()
}
label_y = text_test_stat
elif settings['fig_settings']['use_data'] == text_p_value:
keywords_stat_files = {
keyword: numpy.array(stats_files)[:, 1]
for keyword, stats_files in
keywords_stats_files.items()
}
label_y = text_p_value
elif settings['fig_settings']['use_data'] == text_bayes_factor:
keywords_stat_files = {
keyword: numpy.array(stats_files)[:, 2]
for keyword, stats_files in
keywords_stats_files.items()
}
label_y = text_bayes_factor
elif settings['fig_settings']['use_data'] == text_effect_size:
keywords_stat_files = {
keyword: numpy.array(stats_files)[:, 3]
for keyword, stats_files in
keywords_stats_files.items()
}
label_y = text_effect_size
wordless_fig_stat.wordless_fig_stat_ref(
main,
keywords_stat_files,
ref_file=ref_file,
settings=settings['fig_settings'],
label_y=label_y)
wordless_msg.wordless_msg_generate_fig_success(main)
else:
wordless_msg_box.wordless_msg_box_no_results(main)
wordless_msg.wordless_msg_generate_fig_error(main)
dialog_progress.accept()
if keywords_freq_files:
wordless_fig.show_fig()
settings = main.settings_custom['keywords']
files = main.wordless_files.get_selected_files()
if wordless_checking_file.check_files_on_loading(main, files):
ref_file = main.wordless_files.find_file_by_name(
settings['generation_settings']['ref_file'], selected_only=True)
files = [
file for file in main.wordless_files.get_selected_files()
if file != ref_file
]
if files:
dialog_progress = wordless_dialog_misc.Wordless_Dialog_Progress_Process_Data(
main)
worker_process_data = Wordless_Worker_Process_Data_Keywords_Fig(
main, dialog_progress, data_received)
thread_process_data = wordless_threading.Wordless_Thread_Process_Data(
worker_process_data)
thread_process_data.start()
dialog_progress.exec_()
thread_process_data.quit()
thread_process_data.wait()
else:
wordless_msg_box.wordless_msg_box_missing_observed_file(main)
wordless_msg.wordless_msg_generate_fig_error(main)
else:
wordless_msg.wordless_msg_generate_fig_error(main)
