From 1309e4cfcac98d4ee1f0d1465e8a83d2f95e5dce Mon Sep 17 00:00:00 2001 From: saschuta <56550328+saschuta@users.noreply.github.com> Date: Thu, 6 Jun 2024 21:10:19 +0200 Subject: [PATCH] updating figures --- ampullary.pdf | Bin 245857 -> 245857 bytes ampullary.py | 2 +- cells_suscept.pdf | Bin 264164 -> 264164 bytes cells_suscept.py | 2 +- cells_suscept_high_CV.pdf | Bin 263756 -> 263756 bytes cells_suscept_high_CV.py | 2 +- data/flowchart___c_sig_0_a_fe_0.02.csv | 80000 ++++++++-------- data/flowchart___c_sig_0_a_fe_0.csv | 80000 ++++++++-------- data/flowchart__spikes_c_sig_0_a_fe_0.02.csv | 481 +- data/flowchart__spikes_c_sig_0_a_fe_0.csv | 457 +- ..._adapt_factor_scaled__c_sig_0.9_a_fe_0.csv | 80000 ++++++++-------- ..._factor_scaled_spikes_c_sig_0.9_a_fe_0.csv | 478 +- data_overview_mod.pdf | Bin 386047 -> 386047 bytes data_overview_mod.py | 210 +- flowchart.pdf | Bin 216973 -> 217508 bytes flowchart.png | Bin 54680 -> 55675 bytes model_and_data.pdf | Bin 217345 -> 217345 bytes model_and_data.py | 11 +- model_full.pdf | Bin 280310 -> 280044 bytes model_full.png | Bin 199158 -> 198963 bytes motivation.pdf | Bin 197979 -> 197979 bytes plot_chi2.pdf | Bin 184586 -> 184586 bytes trialnr.pdf | Bin 136003 -> 0 bytes trialnr.py | 59 +- update_project.py | 188 - 25 files changed, 120804 insertions(+), 121086 deletions(-) delete mode 100644 trialnr.pdf delete mode 100644 update_project.py diff --git a/ampullary.pdf b/ampullary.pdf index 404a8efbd5aceabfa5f2acaa64cac02081748e44..cb993a5be1aa57b47c2b2ba2af9d1e41a3e85a60 100644 GIT binary patch delta 27 hcmaFZ!2hs;zoCV(g=q_O4CYHy{0GXZ%6#xJL delta 29 kcmX@pBXFiiprM7ag{g&k3rh+UtC^9xvElYiCYHy{0GXW$6#xJL diff --git a/cells_suscept_high_CV.py b/cells_suscept_high_CV.py index 33da84e..5f6656b 100644 --- a/cells_suscept_high_CV.py +++ b/cells_suscept_high_CV.py @@ -6,5 +6,5 @@ from threefish.RAM.plots import ampullary_punit if __name__ == '__main__': cells_plot2 = p_units_to_show(type_here='contrasts')#permuted = True, - print(cells_plot2) + #print(cells_plot2) ampullary_punit(base_extra = True, eod_metrice = False, color_same = False, fr_name = label_fr_name_rm(), tags_individual = True, isi_delta = 5, cells_plot2=[cells_plot2[1]], titles=['', 'Ampullary cell,'], )#High-CV P-unit, \ No newline at end of file diff --git a/data/flowchart___c_sig_0_a_fe_0.02.csv b/data/flowchart___c_sig_0_a_fe_0.02.csv index a584a1d..cd9fd9a 100644 --- a/data/flowchart___c_sig_0_a_fe_0.02.csv +++ b/data/flowchart___c_sig_0_a_fe_0.02.csv @@ -1,40001 +1,40001 @@ ,v_dent_output,v_mem_output,RAM_afe,RAM_noise,stimulus_here,noise -0,0.24648486954684592,0.8234839339719102,-0.02712435357108864,0.0,0.0,0.06302174420059213 -1,0.24787371908596068,0.8016067378715704,-0.028526871269206517,0.0,0.27935952430851463,0.30999099193516483 -2,0.25997891172501286,0.7900299132591038,-0.029817673199821582,0.0,0.5344087379088006,0.25912534500065226 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+232,1.95015 +233,1.9619000000000002 +234,1.9695500000000001 +235,1.9760000000000002 +236,1.9846000000000001 +237,1.99425 diff --git a/data_overview_mod.pdf b/data_overview_mod.pdf index 817a9242da4f75638576720216417ecf23efecd9..8dbce4272cfd562a7289f37a246733518bb97657 100644 GIT binary patch delta 31 ncmex=T>SrW@rD-07N!>F7M3ln-S=57jf{SrW@rD-07N!>F7M3ln-S=6|j4TWdw@ 0: + if len(frame_file) > 0: # ja der fisch hatte halt eine ziemlich niedriege EODf frame_here = frame_file[frame_file.cell != '2022-01-05-af-invivo-1'] try: print(start_name(cell_type_here, - species) + ' eodf_min ' + str(int(np.round(np.nanmin(frame_here.eod_fr)))) + ' eodf_max ' + str(int(np.round(np.nanmax(frame_here.eod_fr))))+' n '+str(len(frame_here))) + species) + ' eodf_min ' + str( + int(np.round(np.nanmin(frame_here.eod_fr)))) + ' eodf_max ' + str( + int(np.round(np.nanmax(frame_here.eod_fr)))) + ' n ' + str(len(frame_here))) except: print('eodf thing') embed() @@ -321,9 +299,7 @@ def data_overview3(): new_list = [item[0:10] for item in my_list] fish.extend(new_list) - - print(species[0:7]+' n_fish '+str(len(np.unique(fish)))) - + print(species[0:7] + ' n_fish ' + str(len(np.unique(fish)))) ##################################################################### # Burst corr limits print('\n') @@ -336,8 +312,7 @@ def data_overview3(): lims_name = '' for lim in lims: lims_name = lims_name + str(lim) + ': ' + str(np.sum(frame_file['lim_individual'] == lim)) + ',' - print(start_name(cell_type_here, species) + ' ' + lims_name) - + print(start_name(cell_type_here, species) + ' ' + lims_name) ##################################################################### ############################ # 3 Print , EODF @@ -346,18 +321,13 @@ def data_overview3(): speciess = [' Apteronotus leptorhynchus', ' Eigenmannia virescens'] for species in speciess: for c, cell_type_here in enumerate(cell_types): - frame_file = setting_overview_score(frame_load_sp, cell_type_here,min_amp = '',species=species) + frame_file = setting_overview_score(frame_load_sp, cell_type_here, min_amp='', species=species) - if len(frame_file)> 0: - #embed() + if len(frame_file) > 0: + # embed() print(start_name(cell_type_here, species) + ' amp_min ' + str( - np.nanmin(frame_file.amp)) + ' amp_max ' + str(np.nanmax(frame_file[~np.isinf(frame_file.amp)].amp))) - test = False - #embed() - if test: - frame_file[['cv_stim','cv_base']] - frame_file['cv_stim'] - embed() + np.nanmin(frame_file.amp)) + ' amp_max ' + str( + np.nanmax(frame_file[~np.isinf(frame_file.amp)].amp))) ############################ # CVs min max for species in speciess: @@ -366,11 +336,14 @@ def data_overview3(): if len(frame_file) > 0: try: - print(start_name(cell_type_here, species) + ' CV_min ' + str(np.round(np.nanmin(frame_file.cv_base), 2)) + ' CV max ' + str(np.round(np.nanmax(frame_file.cv_base), 2)) + ' FR max ' + str(np.round(np.nanmin(frame_file.fr_base))) + ' FR max ' + str(np.round(np.nanmax(frame_file.fr_base)))) + print(start_name(cell_type_here, species) + ' CV_min ' + str( + np.round(np.nanmin(frame_file.cv_base), 2)) + ' CV max ' + str( + np.round(np.nanmax(frame_file.cv_base), 2)) + ' FR max ' + str( + np.round(np.nanmin(frame_file.fr_base))) + ' FR max ' + str( + np.round(np.nanmax(frame_file.fr_base)))) except: print('min here') embed() - ############################################ ####### # N @@ -380,51 +353,42 @@ def data_overview3(): for c, cell_type_here in enumerate(cell_types): ################## # printe wie viele Zellen es am Anfang gab - frame_file = setting_overview_score(frame_load_sp, cell_type_here, f_exclude = False, snippet = None, min_amp='min', species=species) + frame_file = setting_overview_score(frame_load_sp, cell_type_here, f_exclude=False, snippet=None, + min_amp='min', species=species) print(start_name(cell_type_here, species) + ' nr ' + str(len(frame_file))) - #embed() - #if c in [0,2]: - + # embed() + # if c in [0,2]: - #cmap, _, y_axis = plt_modulation_overview(axs, c, cell_type_here, + # cmap, _, y_axis = plt_modulation_overview(axs, c, cell_type_here, # cv_name, frame_file, max_val, score, # species) - #axs.set_ylabel(score) - #embed()#frame_file[(frame_file.cv_base < 0.65) & (frame_file.response_modulation > 200)].response_modulation - #axs.set_xlabel(cv_name) - - #axs.get_shared_x_axes().join(*[axs, axd]) + # axs.set_ylabel(score) + # embed()#frame_file[(frame_file.cv_base < 0.65) & (frame_file.response_modulation > 200)].response_modulation + # axs.set_xlabel(cv_name) + # axs.get_shared_x_axes().join(*[axs, axd]) # elif species == ' Apteronotus albifrons': # plt_albi(ax[4, 1], cell_type_here, colors, max_val, species, x_axis, y_axis) - #ax[1,cv_n].set_xlim(0, max_val) - #set_same_ylim(np.concatenate(ax[1::, :])) - #set_same_ylim(np.concatenate(ax[1::, :]),ylim_type ='xlim') - #set_same_ylim(ax[0, :], ylim_type='xlim') + # ax[1,cv_n].set_xlim(0, max_val) + # set_same_ylim(np.concatenate(ax[1::, :])) + # set_same_ylim(np.concatenate(ax[1::, :]),ylim_type ='xlim') + # set_same_ylim(ax[0, :], ylim_type='xlim') - #set_ylim_same() - #ax[1, 1].get_shared_y_axes().join(*ax[1, 1::]) - - #counter += 1 - #embed() + # set_ylim_same() + # ax[1, 1].get_shared_y_axes().join(*ax[1, 1::]) + # counter += 1 + # embed() ############################################ # printe um welchen Zeitraum es sich handelt - frame_file = setting_overview_score(frame_load_sp, cell_type_here = '', f_exclude=False, snippet=None, min_amp='min', + frame_file = setting_overview_score(frame_load_sp, cell_type_here='', f_exclude=False, snippet=None, min_amp='min', species='') - print('\n sampling'+str(frame_file.sampling.unique())) - + print('\n sampling' + str(frame_file.sampling.unique())) print('P-units Fr: 50-450 Hz CV: 0.15 - 1.35') print('Ampullary Fr: 80-200 Hz, CV: 0.08 - 0.22') - #plt.show() - show = False#True - fig = plt.gcf() - #embed() - tags_final = np.concatenate([tags[0::3],tags[1::3],tags[2::3]])#,tags[2::3] 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print(str(g) + ' afevar ' + str(np.var(frame.RAM_afe)) + ' afenoise ' + str(np.var(frame.RAM_noise))) + #print(str(g) + ' afevar ' + str(np.var(frame.RAM_afe)) + ' afenoise ' + str(np.var(frame.RAM_noise))) try: ax_external, ff, pp, ff_am, pp_am = plot_lowpass2([grid_lowpass[nr_plot]], time, (frame.RAM_afe + frame.RAM_noise) * 100, @@ -339,7 +338,7 @@ def plt_model_flowcharts(a_fr, ax_external, c, cs, grid, stack, stimulus_length) elif len(np.unique(frame.RAM_noise)) > 1: color_timeseries = 'purple' nr_plot = 1 - print(str(g) + ' afevar ' + str(np.var(frame.RAM_afe)) + ' afenoise ' + str(np.var(frame.RAM_noise))) + #print(str(g) + ' afevar ' + str(np.var(frame.RAM_afe)) + ' afenoise ' + str(np.var(frame.RAM_noise))) try: ax_intrinsic, ff, pp, ff_am, pp_am = plot_lowpass2([grid_lowpass[nr_plot]], time, (frame.RAM_afe + frame.RAM_noise) * 100, @@ -454,5 +453,5 @@ if __name__ == '__main__': ########################## #embed() - print('hi') + #print('hi') model_and_data2(eod_metrice=False, width=0.005, D_extraction_method=D_extraction_method) #r'$\frac{1}{mV^2S}$' diff --git a/model_full.pdf b/model_full.pdf index d544285a3d69f9167239c65af3e0f8c5eea4b722..b00ae75dc8ed88659316af55606df8f0bc23617d 100644 GIT binary patch delta 31532 zcmX`SRZyKxv}l_U+}+*XodChz-Q5YgaQT9}JHefWTW|~R9^3;gEV$eG_q}JIx2~G~ zFl)9{_ZZ#xaTsSY81*Bcf%+)xw0%p*gp7!n>*blitDheaAO0^>qHotn2_LUBY@+KQ z_xEIMS64!>N398$k0kFm5i*B)3Vpo+AL`OTjYqitRo%tAiG~t6^h@u@+rfc} zN#MQL6 z#lu;~8a^%_XJoy%xvdvuqA%Nf`* z4C|!a25+;!hqH+Sa5{kZ(~}pQ=u5;SeqB?`h5`QLlGn$xI)@|v_fQe6j8mR6ZiB(I z`Tb77=V@&F_4aD>;xYpPAXsyx@~S0&Z*(n*7iBUFrg`TNBNzR6xiAi0&xpD*uhtD5 zDWwWz$)GYDlTqZleW!CLxG)^nH0giN8EQJNoOybEoT!t zl0F)X1Me~#l3Kzr9e#uI{h#)$M+R5iC-)bAJ}#LIA2xH!Oth5Qn7q3%svF=nz`feV zQcR!#=UyjhxiP&%cNYS2Sq%mWe_WRhP@8_;TjXp_*&v&;N+g$tsL8zZDj)fiwA`=B z#EA|gc;*0y*Md%ljK^>f4K8=mBvfdxO8&W}WwYi^DhahOmS1Ab(mAJRoUYLVI(qK2 zCNdMFZ~z@+3D%mu*AbQJ+Ly;c`I&w#5s{v;?fa`$7k?z)Ulu117GjmJ7G2nE=%BxOlyEr>*X2=lI6AfkPr5Y_qASh(lK7`u^8WtY&l=g*vdq=%=Yv0_~*uH(@T 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z{yN(0nOPdyL;b#+5VtnAA^699_*`lgY;1l{qkk;Bie~OcpM&t93!t98<3EPwXHCpZ NOi-kxBC?`T{|`eY$MygK diff --git a/trialnr.py b/trialnr.py index 14464b4..596f492 100644 --- a/trialnr.py +++ b/trialnr.py @@ -86,7 +86,7 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext trial_nr = 500000 cell = '2013-01-08-aa-invivo-1' cell = '2012-07-03-ak-invivo-1' - print('cell'+str(cell)) + #print('cell'+str(cell)) cells_given = [cell] save_name_rev = find_folder_name( 'calc_model') + '/' + 'calc_RAM_model-2__nfft_whole_power_1_RAM_additiv_cv_adapt_factor_scaled_cNoise_0.1_cSig_0.9_cutoff1_300_cutoff2_300no_sinz_length1_TrialsStim_' + str( @@ -127,12 +127,8 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext ] nrs_s = [3, 4, 8, 9]#, 10, 11 save_name = save_names[s] - #embed() tr_name = trial_nr/1000000 if tr_name == 1: - tr_name = 1 - ax_model = [] - save_name = find_folder_name('calc_model') + '/' + save_name @@ -141,12 +137,7 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext perc = 'perc' path = save_name + '.pkl' # '../'+ - # stack = get_stack_one_quadrant(cell, cell_add, cells_save, path, save_name) - # full_matrix = create_full_matrix2(np.array(stack), np.array(stack_rev)) - # stack_final = get_axis_on_full_matrix(full_matrix, stack) - # im = plt_RAM_perc(ax, perc, np.abs(stack)) - # stack = load_model_susept(path, cells_save, save_name.split(r'/')[-1] + cell_add) if len(stack)> 0: @@ -184,14 +175,8 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext perc05_wo_norm.append(float('nan')) median_wo_norm.append(float('nan')) counter.append(float('nan')) - # vars, cv_stims, fr_stims - print((np.array(counter)+1)/trial_nrs_here) - print((np.array(counter)) / trial_nrs_here) - #embed() - #ax.plot(trial_nrs_here, perc05, color = 'grey') + ax[0].plot(trial_nrs_here, perc95, color = 'black', clip_on = False, label = '99.99th percentile', alpha = alphas[s]) - #ax.plot(trial_nrs_here, median, color = 'black', label = 'median') - #ax.scatter(trial_nrs_here, perc05, color = 'grey') ax[0].scatter(trial_nrs_here, perc95, color = 'black', clip_on = False, alpha = alphas[s]) ax[0].set_xscale('log')#colors[s] ax[0].set_yscale('log') @@ -203,52 +188,12 @@ def trialnr(nffts=['whole'], powers=[1], contrasts=[0], noises_added=[''], D_ext if s == 1: ax[0].plot(trial_nrs_here, perc05, color='lightgrey', clip_on=False, label = '10th percentile', alpha = alphas[s]) ax[0].scatter(trial_nrs_here, perc05, color='lightgrey', clip_on=False, alpha = alphas[s]) - - ax[0].plot(trial_nrs_here, perc90, color='grey', clip_on=False, label='90th percentile', alpha = alphas[s]) ax[0].scatter(trial_nrs_here, perc90, color='grey', clip_on=False, alpha = alphas[s]) ax[0].legend() - #ax[0].set_xscale('log') - #ax[0].set_yscale('log') - #ax[0].set_xlabel('Trials [$N$]') - #ax[0].set_ylabel('$\chi_{2}$\,[Hz]') - #ax[0].legend() - - ''' ax = plt.subplot(1,3,2) - ax.plot(trial_nrs_here, perc05_wo_norm, color = 'grey') - ax.plot(trial_nrs_here, perc95_wo_norm, color = 'grey') - ax.plot(trial_nrs_here, median_wo_norm, color = 'black', label = 'median') - ax.fill_between(trial_nrs_here, perc05_wo_norm, perc95_wo_norm, color='grey') - #ax.scatter(trial_nrs_here, median, color='black', label='measured points') - - ax = plt.subplot(1,3,3) - ax.plot(trial_nrs_here, perc05_wo_norm, color = 'grey') - ax.plot(trial_nrs_here, perc95_wo_norm, color = 'grey') - ax.plot(trial_nrs_here, median_wo_norm, color = 'black', label = 'median') - ax.fill_between(trial_nrs_here, perc05_wo_norm, perc95_wo_norm, color='grey') - #ax.scatter(trial_nrs_here, median, color='black', label='measured points') - - - ax.legend() - ax.set_xscale('log') - ax.set_yscale('log') - - ''' plt.subplots_adjust(left = 0.1, right = 0.9, bottom = 0.2, top = 0.95) - #plt.set_scale - #embed() - #embed() - #fig.tag([axes[0:3]], xoffs=-3, yoffs=1.6) # ax_ams[3], - #fig.tag([[axes[4]]], xoffs=-3, yoffs=1.6, minor_index=0) # ax_ams[3], - #fig.tag([axes[3:6]], xoffs=-3, yoffs=1.6) #, major_index = 1, minor_index = 2 ax_ams[3], - #fig.tag([[axes[7]]], xoffs=-3, yoffs=1.6, major_index=2,minor_index=0) # ax_ams[3], - #fig.tag([axes[8::]], xoffs=-3, yoffs=1.6, major_index=2, minor_index=2) # ax_ams[3], - #fig.tag([axes[7::]], xoffs=-3, yoffs=1.6) # ax_ams[3], - - #fig.tag([ax_ams[0],ax_data[0],axes[2], axes[3]], xoffs=-3, yoffs=1.6)#ax_ams[3], - #plt.show() save_visualization(pdf=True) diff --git a/update_project.py b/update_project.py deleted file mode 100644 index 7b8e270..0000000 --- a/update_project.py +++ /dev/null @@ -1,188 +0,0 @@ -'''import os - -try: - from numba import jit - -except ImportError: - def jit(nopython): - def decorator_jit(func): - return func - - return decorator_jit - -import inspect -if 'cv_cell_types' not in inspect.stack()[-1][1]: - try: - from plotstyle import plot_style, spines_params - except: - a = 5 - -import sys -from IPython import embed - - -# utils susept wird in utils paper copiert und von utisl_susepitbility gestartet -utils_suseptibility_name = 'utils1' -utils_susept_name = 'utils1_project' - -utils_suseptibility_name2 = 'utils_susept2' -utils_susept_name2 = 'utils_paper2' - -utils_suseptibility_name_all = 'utils0' -utils_susept_name_all = 'utils0_project'#_down - - - -try:# this will not load but I want this to be reference for the refractoring in pycharm - from threefish.utils1 import *#resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - cont_other_dir = True# -except: - cont_other_dir = False#then I know that I am on alexandras PC and I can update my code - -#embed() -if cont_other_dir == False: - import filecmp - # I can also update the folder in another directy to double check its dependencies - - - if not os.path.exists('../'+utils_suseptibility_name+'.py'): - from utils1_project import *#resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - #from utils_paper2 import * # resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - - else: - #embed() - if filecmp.cmp('../'+utils_suseptibility_name+'.py', utils_susept_name+'.py'): - from utils1_project import *#resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - #from utils_paper2 import * # resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - - if os.path.exists('../'+utils_suseptibility_name+'.py'):# das mache ich um in dem richtigen embed zu arbeiten - sys.path.insert(0, '..') - from threefish.utils1 import *#resave_small_files,remove_yticks, unify_cell_names,load_cv_table, colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - - else: - # wir schauen erstmal ohne sys dass das immer zu teilen da ist - import shutil - if os.path.exists('../'+utils_suseptibility_name+'.py'): - shutil.copyfile('../'+utils_suseptibility_name+'.py', utils_susept_name+'.py') - import shutil - if os.path.exists('../' + utils_suseptibility_name + '.py'): - shutil.copyfile('../' + utils_suseptibility_name_all + '.py', utils_susept_name_all + '.py') - print('copied utils all') - # wenn wir auf meinem Computer sind ziehen wir es aber immer vom code - # damit das refractors und wenn wir wo anders sind von dem extra kopierten file - if not os.path.exists('../'+utils_suseptibility_name+'.py'): - from utils1_project import *#resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - #from utils_paper2 import * # resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - - sys.path.insert(0, '..') - from threefish.utils1 import *#resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - else: - - sys.path.insert(0, '..') - from threefish.utils1 import *#resave_small_files,plt_cv_part,RAM_norm_data, remove_yticks, unify_cell_names,load_cv_table, calc_base_reclassification,colorbar_outside_right2, find_code_vs_not, load_folder_name, save_visualization - - ############################## - # find out if we are in the code or develop mode (alexandra) or the public mode! - names_extra_modules = [] - version = 'code' - # for name in names_extra_modules: - if 'suseptibility' in inspect.stack()[-1][1]: # 'code' not in # da ist jetzt die Starter Directory - version = 'develop' - if ('code' not in inspect.stack()[-1][1]) | (not (('alex' in os.getlogin()) | ('rudnaya' in os.getlogin()))): - version = 'public' # für alle sollte version public sein! - - - # this we do only in the develop mode - if version == 'develop': # - copy = True - if copy: - if __name__ == '__main__': - from distutils.dir_util import copy_tree - import time - import shutil - #shutil.rmtree("../../make_folder/suseptibility")#delet - t1 = time.time() - dirs = os.listdir("../suseptibility") - d_count = 0 - for d, directory in enumerate(dirs): - if (('.csv' in directory) | ('.npy' in directory) | ('.pkl' in directory) | ('.py' in directory)| ('suseptibility' in directory)| ('make' in dir.lower()) | ('.dat' in directory)) & ('__pycache__' not in directory): - new_folder_make = '../../../make_folder' - if not os.path.exists(new_folder_make): - os.mkdir(new_folder_make) - new_dir = new_folder_make+"/suseptibility/" - if not os.path.exists(new_dir): - - os.mkdir(new_dir) - # clean the previous directory - #embed() - if d_count == 0: - dirs_new = os.listdir(new_dir) - for dir_n in dirs_new: - if '__pycache__' not in dir_n: - os.remove(new_dir + dir_n) - # nicht remove three sonst macht es alles weg - #shutil.rmtree(new_dir) - #os.mkdir(new_dir) - # redo the directory - - # - if os.path.exists(new_dir + directory): - embed() - #print(new_dir+dir) - #try: - shutil.copy2("../suseptibility/" + directory,new_dir + directory) - #print(new_dir + directory) - #shutil.copy("../suseptibility/" + directory,new_dir + directory) - #shutil.copyfile("../suseptibility/"+dir, new_dir+dir) - #except: - # print('shutil stuff') - # embed() - d_count += 1 - t2 = time.time() -t1 - - print('Time='+str(t2)) - print('copied') - #copy_tree("../suseptibility", "../../make_folder/suseptibility") - - - - - - -def plt_scatter_four(grid, frame, cell_types, cell_type_type, annotate, colors): - grid2 = gridspec.GridSpecFromSubplotSpec(1, 4, grid[0], wspace=0.4, - hspace=0.2) - add = ['', '_burst_corr', ] - ax0 = plt.subplot(grid2[0]) - - # ok hier plotten wir nur den scatter der auch ein gwn hat, aber was ist wenn es mehr sind? - # ok im prinzip sollte das zwar schon stimmen aber für das Bild kann man wirklich mehr machen - for c, cell_type_it in enumerate(cell_types): - frame_g = frame[ - (frame[cell_type_type] == cell_type_it) & ((frame.gwn == True) | (frame.fs == True))] - - plt_cv_fr(annotate, ax0, add[0], frame_g, colors, cell_type_it) - - - - ax1 = plt.subplot(grid2[1]) - for c, cell_type_it in enumerate(cell_types): - frame_g = frame[ - (frame[cell_type_type] == cell_type_it) & ((frame.gwn == True) | (frame.fs == True))] - plt_cv_vs(frame_g, ax1, add[0], annotate, colors, cell_type_it) - - - ax2 = plt.subplot(grid2[2]) - ax2.set_title('burst') - for c, cell_type_it in enumerate(cell_types): - # frame_all = frame[(frame[cell_type_type] == cell_type)] - frame_g = frame[ - (frame[cell_type_type] == cell_type_it) & ((frame.gwn == True) | (frame.fs == True))] - - plt_cv_fr(annotate, ax2, add[1], frame_g, colors, cell_type_it) - - - - return ax0, ax1, ax2,''' - -