for save_type in save_types:
plt.savefig(figure_path + figure_name + save_type,
dpi=150,
transparent=True)
print 'save as', figure_path + figure_name + save_type
plt.show()
plt.close()
fatigue_model_list = ['BM', 'FS', 'SWT', 'Liu1', 'Liu2', 'Chu']
#fatigue_model_list = ['Our']
fatigue_model_list = ['Liu1']
fatigue_model_list = ['Study2']
#fatigue_model_list = ['Zamrik']
#fatigue_model_list = ['Vose']
ArticleFigureDirectory = 'F:\\Cloud\\Github\\tgmf\\figs\\'
for fatigue_model in fatigue_model_list:
fatigue_file = '%s%s.csv' % (FatigueDirectory, fatigue_model)
fatigue_data = FatigueData(fatigue_file)
figure_path = ArticleFigureDirectory
figure_name = 'F-NF-TGMF-' + fatigue_model
create_plot_data(fatigue_data, figure_path, figure_name)
for fatigue_model in fatigue_model_list:
figure_path = ArticleFigureDirectory
figure_name = 'F-NF-TGMF-' + fatigue_model
plot(figure_path, figure_name, save_types=['.pdf', '.png'])
shutil.copy(__file__, ArticleFigureDirectory)
if figure_path <> None and figure_name <> None:
for save_type in save_types:
plt.savefig(figure_path + figure_name + save_type,
dpi=150,
transparent=True)
print 'save as', figure_path + figure_name + save_type
fatigue_model_list = ['Study', 'Study2']
TN_list = []
TRMS_list = []
for fatigue_model in fatigue_model_list:
fatigue_file = '%s%s.csv' % (FatigueDirectory, fatigue_model)
fatigue_data = FatigueData(fatigue_file)
TN_list.append(fatigue_data.quantitativeTN())
TRMS_list.append(fatigue_data.quantitativeTRMS())
write_file(ArticleFigureDirectory + 'TN_list.txt', TN_list)
write_file(ArticleFigureDirectory + 'TRMS_list.txt', TRMS_list)
TN_list = read_file(ArticleFigureDirectory + 'TN_list.txt')
TRMS_list = read_file(ArticleFigureDirectory + 'TRMS_list.txt')
plot_format()
mpl.rcParams['xtick.major.size'] = 0
mpl.rcParams['xtick.major.width'] = 0
#==============================================================================
# x,y limite
#==============================================================================