update figure

model_full.py

@@ -11,7 +11,8 @@ from threefish.RAM.reformat import check_var_substract_method, chose_certain_gro
     get_transfer_from_model, load_cells_three, predefine_grouping_frame, restrict_cell_type, save_arrays_susept
 from threefish.RAM.save import get_transfer_for_model_full
 from threefish.RAM.reformat_matrix import convert_csv_str_to_float, load_stack_data_susept
-from threefish.RAM.plot_subplots import colors_suscept_paper_dots, letters_for_full_model, plt_model_big, \
+from threefish.RAM.plot_subplots import adjust_factor_outside_nonlin, colors_suscept_paper_dots, letters_for_full_model, \
+    plt_model_big, \
     plt_model_full_model2, \
     plt_model_letters, \
     plt_psds_ROC, plt_RAM_perc, recalc_fr_to_DF1
@@ -32,8 +33,7 @@ from threefish.plot.limits import set_clim_same
 #from utils_test import test_spikes_clusters
 
 
-def model_full(c1=10, mult_type='_multsorted2_', devs=['05'], end='all', chose_score='mean_nrs',
-               detections=['MeanTrialsIndexPhaseSort'], sorted_on='LocalReconst0.2NormAm', dfs = ['m1', 'm2']):
+def model_full():
 
     plot_style()
     default_figsize(column=2, length=3.5)#2.7
@@ -43,8 +43,8 @@ def model_full(c1=10, mult_type='_multsorted2_', devs=['05'], end='all', chose_s
 
 
     axes = []
-    a_size = 0.0065#und 0.0005 für das lineare das ist vielleicht für das nichtlienare 0.0065#0.0085#0.01#0.0085#125 # 0.0025# 0.01 0.005 und davor 0.025, funktioniert gut 0.0085
-
+    a_size = 0.0095#0.0065#0.0065und 0.0005 für das lineare das ist vielleicht für das nichtlienare 0.0065#0.0085#0.01#0.0085#125 # 0.0025# 0.01 0.005 und davor 0.025, funktioniert gut 0.0085
+    adjust_factor_outside = 3#adjust_factor_outside_nonlin()
 
 
 
@@ -175,7 +175,7 @@ def model_full(c1=10, mult_type='_multsorted2_', devs=['05'], end='all', chose_s
                                                         stimulus_length=length, plus_q=plus_q, stack_saved = stack_saved,
                                                         diagonal=diagonal, runs=1, nfft = nfft, xlim_psd =  xlim_psd,
                                                         cells=[cell], dev_spikes ='original', markers = markers, DF1_frmult = DF1_frmult, DF2_frmult = DF2_frmult,
-                                                        log = log, ms = ms, array_len = array_len, f_same = f_same, transfer = transfer, clip_on = False, trials_nr_all= [1, 1, 1, 1, 1])  #arrays_len a_f1s=[0.02]"2012-12-13-an-invivo-1"'2013-01-08-aa-invivo-1'
+                                                        log = log, ms = ms, adjust_factor_outside = adjust_factor_outside, array_len = array_len, f_same = f_same, transfer = transfer, clip_on = False, trials_nr_all= [1, 1, 1, 1, 1])  #arrays_len a_f1s=[0.02]"2012-12-13-an-invivo-1"'2013-01-08-aa-invivo-1'
 
 
 
@@ -206,11 +206,11 @@ def model_full(c1=10, mult_type='_multsorted2_', devs=['05'], end='all', chose_s
 
     fig = plt.gcf()#[axes[0], axes[3], axes[4]]
     fig.tag([axes[0], axc, axes2[0], axes2[1], axes2[2], axes2[3]], xoffs=-4.5, yoffs=1.2)  # ax_ams[3],
-    #plt.show()
+    plt.show()
     save_visualization()
 
 
-def plt_data_matrix(ax, axes, cell, grid, ls, lw, perc, stack_final):
+def plt_data_matrix(axes, grid, ls, lw, perc):
     ax = plt.subplot(grid[0])
     axes.append(ax)
     cell = '2012-07-03-ak-invivo-1'