plt.style.use('ggplot') rc('text', usetex=True) rc('font', family='serif') figure_dir = './figure/' setting_name = "setting_2" xlim = [0, 200] ylim = [0.003, 0.0035] reader = ReadClass() remote_data = reader.data_PID(setting_name) reader.set_ssh(remote_data=remote_data) reader.read_setting(setting_name) reader.read_file_number(ssh_flag=True) budget = reader.read_budget() columns = [ 'T', 'E', 'E-diag', 'E-lower', 'E-upper', 'Q2', 'Q2-diag', 'Q2-lower', 'Q2-upper', 'PE' ] df = pd.DataFrame(data=budget, columns=columns) df = df.set_index('T') for col in df.columns.tolist(): df = df.rename(columns={col: reader.long_name(col)}) df.plot( y=[ reader.long_name('E'), reader.long_name('E-diag'), reader.long_name('E-lower'),
plt.style.use('ggplot') rc('text', usetex=True) rc('font', family='serif') figure_dir = './figure/' setting_name = "setting" xlim = [0, 200] ylim = [0.44, 0.48] reader = ReadClass() remote_data = reader.data_PID(setting_name) reader.set_ssh(remote_data=remote_data) reader.read_setting(setting_name) reader.read_file_number(ssh_flag=True) budget = reader.read_budget(number_time=420, ssh_flag=False) columns = [ 'T', 'E', 'E-first', 'E-diag', 'E-lower', 'E-upper', 'Q2', 'Q2-first', 'Q2-diag', 'Q2-lower', 'Q2-upper', 'PE' ] df = pd.DataFrame(data=budget, columns=columns) df = df.set_index('T') for col in df.columns.tolist(): df = df.rename(columns={col: reader.long_name(col)}) df['Q2-others'] = df[reader.long_name('Q2')] - df[reader.long_name('Q2-first')] df['Q2-others-mean'] = df['Q2-others'] / (reader.N - 1) df.plot( y=[reader.long_name('Q2-first'), reader.long_name('E-first'), 'Q2-others'],
plt.style.use('ggplot') rc('text', usetex=True) rc('font', family='serif') figure_dir = './figure/' setting_name = "setting" xlim = [0, 200] ylim = [1, 1.1] reader = ReadClass() remote_data = reader.data_PID(setting_name) reader.set_ssh(remote_data=remote_data) reader.read_setting(setting_name) reader.read_file_number(ssh_flag=True) budget = reader.read_budget(number_time=420, ssh_flag=True) columns = [ 'T', 'E', 'E-first', 'E-diag', 'E-lower', 'E-upper', 'Q2', 'Q2-first', 'Q2-diag', 'Q2-lower', 'Q2-upper', 'PE' ] df = pd.DataFrame(data=budget, columns=columns) df = df.set_index('T') for col in df.columns.tolist(): df = df.rename(columns={col: reader.long_name(col)}) df['E-others'] = df[reader.long_name('E')] - df[reader.long_name('E-first')] df.plot( y=[ reader.long_name('E'), reader.long_name('E-first'), 'E-others',