diff --git a/README.md b/README.md new file mode 100644 index 0000000..6170a24 --- /dev/null +++ b/README.md @@ -0,0 +1,5 @@ +Tabele with all cell information considering RAM analysis is saved in data/ as data_overview_mod.csv +``` .py +frame = pd.read_csv('data_overview_mod.csv') +``` +see data_overview_mod.py for loading and filtering. diff --git a/ampullary.pdf b/ampullary.pdf index 78369cc..2b971ea 100644 Binary files a/ampullary.pdf and b/ampullary.pdf differ diff --git a/ampullary.png b/ampullary.png index 7be27e2..8ee4509 100644 Binary files a/ampullary.png and b/ampullary.png differ diff --git a/ampullary.py b/ampullary.py index ca7cfcb..c0d3e18 100644 --- a/ampullary.py +++ b/ampullary.py @@ -1,9 +1,9 @@ +from threefish.RAM.plots import plot_suscept_matrix_data from threefish.RAM.reformat_cellchoice import cells_to_show_susceptibility -from threefish.RAM.plots import ampullary_punit if __name__ == '__main__': cells_plot2 = cells_to_show_susceptibility(plot_choice='amp') - ampullary_punit(eod_metrice = False, base_extra = True, color_same = False, fr_name = '$f_{base}$', tags_individual = True, isi_delta = 5, titles=[''], - cells_plot=cells_plot2, RAM=False, scale_val = False, add_texts = [0.25, 1.3])#Low-CV ampullary cell, \ No newline at end of file + plot_suscept_matrix_data(titles=[''], + cells_plot=cells_plot2, RAM_as_punit=False, scale_val = False, add_texts = [0.25, 1.3])#Low-CV ampullary cell, \ No newline at end of file diff --git a/cells_suscept.pdf b/cells_suscept.pdf index a373dc8..b5910f2 100644 Binary files a/cells_suscept.pdf and b/cells_suscept.pdf differ diff --git a/cells_suscept.py b/cells_suscept.py index 73dcb75..4815245 100644 --- a/cells_suscept.py +++ b/cells_suscept.py @@ -1,8 +1,7 @@ +from threefish.RAM.plots import plot_suscept_matrix_data from threefish.RAM.reformat_cellchoice import cells_to_show_susceptibility -from threefish.RAM.plot_labels import label_fr_name_rm -from threefish.RAM.plots import ampullary_punit if __name__ == '__main__': cells_plot2 = cells_to_show_susceptibility(plot_choice='contrasts') - ampullary_punit(eod_metrice = False, color_same = False, base_extra = True, fr_name = label_fr_name_rm(), cells_plot=[cells_plot2[0]], isi_delta = 5, titles=[''], tags_individual = True, xlim_p = [0, 1.15])#Low-CV P-unit, \ No newline at end of file + plot_suscept_matrix_data(cells_plot=[cells_plot2[0]], titles=[''], xlim_p = [0, 1.15])#Low-CV P-unit, \ No newline at end of file diff --git a/cells_suscept_high_CV.pdf b/cells_suscept_high_CV.pdf index 202a9cc..e94d273 100644 Binary files a/cells_suscept_high_CV.pdf and b/cells_suscept_high_CV.pdf differ diff --git a/cells_suscept_high_CV.py b/cells_suscept_high_CV.py index db28078..d9fa352 100644 --- a/cells_suscept_high_CV.py +++ b/cells_suscept_high_CV.py @@ -1,9 +1,7 @@ +from threefish.RAM.plots import plot_suscept_matrix_data from threefish.RAM.reformat_cellchoice import cells_to_show_susceptibility -from threefish.RAM.plot_labels import label_fr_name_rm -from threefish.RAM.plots import ampullary_punit - if __name__ == '__main__': cells_plot2 = cells_to_show_susceptibility(plot_choice='contrasts') - ampullary_punit(base_extra = True, eod_metrice = False, color_same = False, fr_name = label_fr_name_rm(), tags_individual = True, isi_delta = 5, cells_plot=[cells_plot2[1]], titles=['', 'Ampullary cell,'], )#High-CV P-unit, \ No newline at end of file + plot_suscept_matrix_data(cells_plot=[cells_plot2[1]], titles=['', 'Ampullary cell,'], )#High-CV P-unit, \ No newline at end of file diff --git a/data/trialnr_nfft_whole_p_1_RAM_additiv_cv_adapt_factor_scaled_cNoise_0.1_cSig_0.9_cutoff1_300_cutoff2_300no_sinz_length1_TS_10000000_a_fr_1__TrialsNr_1_2013-01-08-aa-invivo-1.csv b/data/trialnr_nfft_whole_p_1_RAM_additiv_cv_adapt_factor_scaled_cNoise_0.1_cSig_0.9_cutoff1_300_cutoff2_300no_sinz_length1_TS_10000000_a_fr_1__TrialsNr_1_2013-01-08-aa-invivo-1.csv index ab8e030..f2e45a7 100644 --- a/data/trialnr_nfft_whole_p_1_RAM_additiv_cv_adapt_factor_scaled_cNoise_0.1_cSig_0.9_cutoff1_300_cutoff2_300no_sinz_length1_TS_10000000_a_fr_1__TrialsNr_1_2013-01-08-aa-invivo-1.csv +++ b/data/trialnr_nfft_whole_p_1_RAM_additiv_cv_adapt_factor_scaled_cNoise_0.1_cSig_0.9_cutoff1_300_cutoff2_300no_sinz_length1_TS_10000000_a_fr_1__TrialsNr_1_2013-01-08-aa-invivo-1.csv @@ -1 +1,300 @@ 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diff --git a/data_overview_mod.pdf b/data_overview_mod.pdf index 2a107b6..4dc93ad 100644 Binary files a/data_overview_mod.pdf and b/data_overview_mod.pdf differ diff --git a/data_overview_mod.py b/data_overview_mod.py index ac13fcc..67b4435 100644 --- a/data_overview_mod.py +++ b/data_overview_mod.py @@ -1,19 +1,20 @@ -from IPython import embed from matplotlib import gridspec as gridspec, pyplot as plt import numpy as np -from threefish.RAM.values import start_name, version_final -from threefish.RAM.plot_subplots import plt_specific_cells, scatter_with_marginals_colorcoded -from threefish.RAM.plot_grid import get_grid_4 +from scipy import stats + from threefish.defaults import default_figsize -from threefish.RAM.plot_colors import colors_overview -from threefish.reformat import exclude_nans_for_corr -from threefish.RAM.reformat_population import load_overview_susept, update_cell_names_to_unify_invivo_nomenclature from threefish.load import save_visualization from threefish.RAM.calc_bursts import setting_overview_score +from threefish.RAM.plot_colors import colors_overview +from threefish.RAM.plot_grid import get_grid_4 from threefish.RAM.plot_labels import basename_small, label_NLI_scorename2_small, label_pearson, label_stimname_small, \ make_log_ticks -from scipy import stats +from threefish.RAM.plot_subplots import plt_specific_cells, scatter_with_marginals_colorcoded +from threefish.RAM.reformat_population import load_overview_susept, update_cell_names_to_unify_invivo_nomenclature +from threefish.RAM.values import start_name +from threefish.reformat import exclude_nans_for_corr + try: from plotstyle import plot_style, spines_params except: @@ -29,7 +30,6 @@ def data_overview3(): var_it2 = '' right = 0.85 ws = 0.75 - #print(right) grid0 = gridspec.GridSpec(3, 2, wspace=ws, bottom=0.06, hspace=0.45, left=0.1, right=right, top=0.95) @@ -37,68 +37,40 @@ def data_overview3(): # Auswahl: wir nehmen den mean um nicht Stimulus abhängigen Noise rauszumitteln save_names = ['calc_RAM_overview-_simplified_noise_data12_nfft0.5sec_original__StimPreSaved4__direct_'] - ##################################################### - #grid_lower_lower = gridspec.GridSpecFromSubplotSpec(1, 2, grid0[1], wspace = 0.5, hspace=0.55)#, height_ratios = [1,3] cell_types = [' P-unit',' Ampullary', ]#, ' P-unit',]#' P-unit', cell_types_name = ['P-units','Ampullary cells',] species = ' Apteronotus leptorhynchus' - burst_corr_reset = 'response_modulation' - burst_fraction = [1000, 1000]# 50, # ,1,1] burst_fraction = [1, 1] # ,1,1] burst_corr_reset = 'burst_fraction_burst_corr_individual_stim' redo = False - #embed() counter = 0 tags = [] frame_load_sp = load_overview_susept(save_names[0], redo=redo, redo_class=redo) - scores = ['max(diag5Hz)/med_diagonal_proj_fr','max(diag5Hz)/med_diagonal_proj_fr', - 'max(diag5Hz)/med_diagonal_proj_fr_base_w_burstcorr'] # + '_diagonal_proj' scores = ['max(diag5Hz)/med_diagonal_proj_fr','max(diag5Hz)/med_diagonal_proj_fr', ] # + '_diagonal_proj' printing = False # print values for paper max_xs = [[[],[],[]],[[],[],[]]] - for c, cell_type_here in enumerate(cell_types): + for c, cell_type_here in enumerate(cell_types):# iteriert über die columns frame_file = setting_overview_score(frame_load_sp, cell_type_here, min_amp='range', species=species) - #embed() - test = False - # ok das schließe ich aus weil da irgendwas in der Detektion ist, das betrifft jetzt genau 3 Zellen, also nicht so schlimm - #63 2018-08-14-af-invivo-1 - #241 2018-09-05-aj-invivo-1 - #252 2022-01-08-ah-invivo-1 frame_file = frame_file[frame_file.cv_stim <5] - ############################################## - # modulatoin comparison for both cell_types - ################################ - # Modulation, cell type comparison + colorbar_value = [var_it,var_it,var_it2]#,var_it2]#['Response Modulation [Hz]',] + colorbar_name = ['response_modulation','response_modulation','']#,'']#'response_modulation' - - x_axis = ['cv_base','cv_stim','response_modulation']#,'fr_base']# - var_item_names = [var_it,var_it,var_it2]#,var_it2]#['Response Modulation [Hz]',] - var_types = ['response_modulation','response_modulation','']#,'']#'response_modulation' - max_x = max_xs[c] + x_axis = ['cv_base', 'cv_stim', 'response_modulation'] # ,'fr_base']# x_axis_names = ['CV$' + basename_small() +'$','CV$' + label_stimname_small() + '$', 'Response modulation [Hz]']#$'+basename()+'$,'Fr$'+basename()+'$',] - #score = scores[0] - score_n = ['Perc99/Med', 'Perc99/Med', 'Perc99/Med'] score = scores[c] - scores_here = [score,score,score]#,score] - score_name = ['max(diag5Hz)/med_diagonal_proj_fr','max(diag5Hz)/med_diagonal_proj_fr']#,'max(diag5Hz)/med_diagonal_proj_fr']#'Perc99/Med' - score_name = ['Fr/Med', 'Fr/Med']#'Fr/Med'] # 'Perc99/Med' - score_name = [label_NLI_scorename2_small(), label_NLI_scorename2_small(), label_NLI_scorename2_small()]#NLI_scorename()] # 'Fr/Med''Perc99/Med' + y_axis_values = [score,score,score]#,score] + y_axis_name = [label_NLI_scorename2_small(), label_NLI_scorename2_small(), label_NLI_scorename2_small()]#NLI_scorename()] # 'Fr/Med''Perc99/Med' ax_j = [] axls = [] axss = [] - #embed() - #frame_max = frame_file[frame_file[score]>5] - cv_name = "cv_base" - max_val = 1.5 - log = ''#'logall'#''#'logy','logall'True#False + max_x = max_xs[c] + log = ''#'logall'#''#'logy','logall'True#False - marker = ['o'] - for v, var_type in enumerate(var_types): - # ax = plt.subplot(grid0[1+v])#grid_lower[0, v] + for v, colorbar_name in enumerate(colorbar_name):# iteriert über die rows axx, axy, axs, axls, axss, ax_j = get_grid_4(ax_j, axls, axss, grid0[v,counter]) @@ -107,20 +79,20 @@ def data_overview3(): ymin = 'no' else: ymin = 0 - xmin = 0 + #frame.filter(like = 'fr')#wo_burstcorr + xmin = 0 xlimk = None - labelpad = 0.5#-1 - cmap, _, y_axis = scatter_with_marginals_colorcoded(var_item_names[v], axs, cell_type_here, x_axis[v], - frame_file, scores_here[v], axy, axx, ymin=ymin, + cmap, _, y_axis = scatter_with_marginals_colorcoded(colorbar_value[v], axs, cell_type_here, x_axis[v], + frame_file, y_axis_values[v], axy, axx, ymin=ymin, xmin=xmin, burst_fraction_reset=burst_corr_reset, - var_item=var_type, labelpad=labelpad, max_x=max_x[v], - xlim=xlimk, x_pos=1, burst_fraction=burst_fraction[c], + var_item=colorbar_name, labelpad=labelpad, max_x=max_x[v], + xlim=None, x_pos=1, burst_fraction=burst_fraction[c], ha='right') if printing: - print(cell_type_here + ' median '+scores_here[v]+''+str(np.nanmedian(frame_file[scores_here[v]]))) + print(cell_type_here + ' median '+y_axis_values[v]+''+str(np.nanmedian(frame_file[y_axis_values[v]]))) print(cell_type_here + ' max ' + x_axis[v] + '' + str(np.nanmax(frame_file[x_axis[v]]))) if v == 0: @@ -129,7 +101,7 @@ def data_overview3(): axx.show_spines('') axy.show_spines('') - axs.set_ylabel(score_name[v]) + axs.set_ylabel(y_axis_name[v]) axs.set_xlabel(x_axis_names[v], labelpad = labelpad) extra_lim = False if extra_lim: @@ -157,19 +129,15 @@ def data_overview3(): axy.set_yticks_blank() - plt_specific_cells(axs, cell_type_here, x_axis[v], frame_file, scores_here[v], marker = ['o',"s"]) + plt_specific_cells(axs, cell_type_here, x_axis[v], frame_file, y_axis_values[v], marker = ['o',"s"]) tags.append(axx) - #plt.show() counter += 1 - #plt.show() - if printing: printing_values_data_overview(cell_types, frame_load_sp, scores, species, x_axis, y_axis) show = False#True fig = plt.gcf() - #embed() tags_final = np.concatenate([tags[0::3],tags[1::3],tags[2::3]])#,tags[2::3] fig.tag(tags_final, xoffs=-4.2, yoffs=1.12) save_visualization(pdf = True, show = show) diff --git a/flowchart.pdf b/flowchart.pdf index c7bdee2..f6d9758 100644 Binary files a/flowchart.pdf and b/flowchart.pdf differ diff --git a/flowchart.py b/flowchart.py index f0fee7a..2879ce1 100644 --- a/flowchart.py +++ b/flowchart.py @@ -2,18 +2,18 @@ import matplotlib.gridspec as gridspec from plotstyle import plot_style +from threefish.defaults import default_figsize from threefish.load import save_visualization from threefish.RAM.plots import flowchart_core -from threefish.defaults import default_figsize def flowchart(): plot_style() - default_figsize(column=2, length=4.7) #5.3 5.8 + default_figsize(column=2, length=4.7) grid_orig = gridspec.GridSpec(1, 1, wspace=0.15, bottom=0.07, hspace=0.1, left=0.05, right=0.96, - top=0.9) # , height_ratios = [0.4,3] - flowchart_core(grid_orig[0]) # grid_sheme grid_lower[3] + top=0.9) + flowchart_core(grid_orig[0]) save_visualization() diff --git a/model_and_data.pdf b/model_and_data.pdf index 160985b..a7fe3e2 100644 Binary files a/model_and_data.pdf and b/model_and_data.pdf differ diff --git a/model_and_data.py b/model_and_data.py index eb8cbf8..82044f6 100644 --- a/model_and_data.py +++ b/model_and_data.py @@ -1,9 +1,7 @@ -##from update_project import **#model_and_data import os import numpy as np import pandas as pd -from IPython import embed from matplotlib import gridspec, pyplot as plt from threefish.plot_subplots import plt_model_flowcharts @@ -71,7 +69,7 @@ def model_and_data2(eod_metrice=False, width=0.005, nffts=['whole'], powers=[1], hs = 0.45 ################################# - # data cells + # data cells panel A grid_data = gridspec.GridSpecFromSubplotSpec(1, 1, grid[0, 0], hspace=hs) @@ -133,16 +131,11 @@ def model_and_data2(eod_metrice=False, width=0.005, nffts=['whole'], powers=[1], perc = 'perc' path = save_name + '.pkl' # '../'+ - # model = get_stack_one_quadrant(cell, cell_add, cells_save, path, save_name) - - # full_matrix = create_full_matrix2(np.array(model), np.array(stack_rev)) - # stack_final = get_axis_on_full_matrix(full_matrix, model) - # im = plt_RAM_perc(ax, perc, np.abs(model)) - model = load_model_susept(path, cells_save, save_name.split(r'/')[-1] + cell_add) #embed() if len(model) > 0: + # panels Bii, Biii, Cii, Ciii add_nonlin_title, cbar, fig, stack_plot, im = plt_single_square_modl(ax_external, cell, model, perc, titles[s], width, eod_metrice=eod_metrice, @@ -176,7 +169,7 @@ def model_and_data2(eod_metrice=False, width=0.005, nffts=['whole'], powers=[1], set_clim_same(ims, mats=mats, lim_type='up', nr_clim='perc', clims='', percnr=perc_model_full())# ################################################# - # plot Flowcharts + # plot Flowcharts panels Bi, Ci ax_ams, ax_external = plt_model_flowcharts( a_fr, ax_external, c, cs, grid, model, stimulus_length) diff --git a/model_full.pdf b/model_full.pdf index 4b3ac5f..a8fa41f 100644 Binary files a/model_full.pdf and b/model_full.pdf differ diff --git a/model_full.png b/model_full.png index cc2bd38..b2167a0 100644 Binary files a/model_full.png and b/model_full.png differ diff --git a/model_full.py b/model_full.py index e33c7e6..2931e27 100644 --- a/model_full.py +++ b/model_full.py @@ -1,35 +1,33 @@ import sys +import time import numpy as np -from IPython import embed from matplotlib import gridspec, pyplot as plt +from plotstyle import plot_style +from threefish.core import find_code_vs_not, info +from threefish.defaults import default_figsize +from threefish.load import resave_small_files, save_visualization +from threefish.plot.colorbar import colorbar_outside, rescale_colorbar_and_values +from threefish.plot.limits import set_clim_same from threefish.plot.tags import tag2 from threefish.RAM.calc_fft import create_full_matrix2 -from threefish.reformat import chose_mat_max_value, get_axis_on_full_matrix, get_psds_ROC, \ - load_b_public -from threefish.RAM.reformat import check_var_substract_method, chose_certain_group, extract_waves, \ - 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_labels import label_deltaf1, label_deltaf2, label_diff, label_sum, label_two_deltaf1, \ + label_two_deltaf2, nonlin_title, remove_xticks, set_xlabel_arrow, set_ylabel_arrow, title_motivation, \ + xlabel_transfer_hz from threefish.RAM.plot_subplots import 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 -from threefish.load import resave_small_files, save_visualization +from threefish.RAM.reformat import chose_certain_group, extract_waves, \ + get_transfer_from_model, load_cells_three, predefine_grouping_frame, restrict_cell_type, save_arrays_susept +from threefish.RAM.reformat_matrix import convert_csv_str_to_float, load_stack_data_susept +from threefish.RAM.save import get_transfer_for_model_full from threefish.RAM.values import find_all_dir_cells, perc_model_full, vals_model_full, version_final -from threefish.core import find_code_vs_not, info -from plotstyle import plot_style -import time -from threefish.defaults import default_diagonal_points, default_figsize -from threefish.plot.colorbar import colorbar_outside, rescale_colorbar_and_values -from threefish.RAM.plot_labels import label_deltaf1, label_deltaf2, label_diff, label_sum, \ - nonlin_title, remove_xticks, set_xlabel_arrow, set_ylabel_arrow, title_motivation, label_two_deltaf1, \ - label_two_deltaf2, \ - xlabel_transfer_hz -from threefish.plot.limits import set_clim_same +from threefish.reformat import chose_mat_max_value, get_axis_on_full_matrix, get_psds_ROC, \ + load_b_public from threefish.values import values_nfft_full_model, values_stimuluslength_model_full @@ -48,7 +46,7 @@ def model_full(): ################################## - # model square + # model square, panel A ls = '--' axm = plt.subplot(grid[:,0]) axes.append(axm) @@ -62,7 +60,7 @@ def model_full(): ################# ################# - # power spectra model + # power spectra model, panel B, C, D, E @@ -93,11 +91,10 @@ def model_full(): ######################################## - # letters for the matrix + # letters for the matrix in panel A plt_model_letters(DF1_frmult, DF2_frmult, axm, color012, color01_2, fr_noise, markers) ######################################## - # tags fig = plt.gcf() tag2(fig, [axes[0], axes2[0], axes2[1], axes2[2], axes2[3]], xoffs=np.array([-4.2, -2.5, -2.5, -2.5, -2.5]), yoffs=np.array([4.55, 4.35, 4.35, 4.35, 4.35])) # ax_ams[3],4.5 @@ -344,7 +341,7 @@ def plt_data_full_model(c1, chose_score, detections, devs, dfs, end, grid, mult_ divergnce, fr, pivot_chosen, max_val, max_x, max_y, mult, DF1, DF2, min_y, min_x, min_val, diff_cut = chose_mat_max_value( DF1_desired[df], DF2_desired[df], '', mult_type, eodftype, indices, cell, contrast_small, - contrast_big, contrast1, dfs, start, devname_orig, contrast, autodefine=autodefine, + contrast_big, contrast1, dfs, devname_orig, contrast, autodefine=autodefine, cut_matrix='cut', chose_score=chose_score) # chose_score = 'auci02_012-auci_base_01' df1.append(DF1[0]) df2.append(DF2[0]) @@ -421,7 +418,7 @@ def plt_data_full_model(c1, chose_score, detections, devs, dfs, end, grid, mult_ ############################################################## # load plotting arrays arrays, arrays_original, spikes_pure = save_arrays_susept( - data_dir, cell, c, chirps, devs, extract, group_mean, mean_type, plot_group=0, + data_dir, cell, c, chirps, extract, group_mean, mean_type, plot_group=0, rocextra=False, sorted_on=sorted_on) ########################################################################## # part with the power spectra @@ -574,7 +571,5 @@ def plt_data_full_model(c1, chose_score, detections, devs, dfs, end, grid, mult_ if __name__ == '__main__': - #embed() - sys.excepthook = info model_full() \ No newline at end of file diff --git a/motivation.pdf b/motivation.pdf index 5192445..49a1767 100644 Binary files a/motivation.pdf and b/motivation.pdf differ diff --git a/motivation.py b/motivation.py index f55b48d..bac6148 100644 --- a/motivation.py +++ b/motivation.py @@ -1,28 +1,16 @@ -##from update_project import ** import numpy as np -from IPython import embed +from matplotlib import gridspec, pyplot as plt -from threefish.RAM.values import find_all_dir_cells, ws_nonlin_systems -from threefish.reformat import chose_mat_max_value, load_b_public +from plotstyle import plot_style from threefish.defaults import default_figsize -from threefish.calc_time import cr_spikes_mat -from threefish.core import find_code_vs_not -import time -from threefish.RAM.reformat import check_var_substract_method, chose_certain_group, extract_waves, load_cells_three, \ - predefine_grouping_frame, restrict_cell_type, save_arrays_susept +from threefish.load import save_visualization from threefish.RAM.plot_labels import title_motivation from threefish.RAM.plot_subplots import circle_plot, colors_suscept_paper_dots, plot_arrays_ROC_psd_single3, \ - plot_shemes4, \ - plt_coherences -from threefish.load import save_visualization - -#from matplotlib import gridspec as gridspec, gridspec, mlab as ml, pyplot as plt, ticker as ticker -from matplotlib import pyplot as plt -from matplotlib import gridspec -from scipy.ndimage import gaussian_filter - -from plotstyle import plot_style - + plot_shemes4 +from threefish.RAM.reformat import chose_certain_group, extract_waves, load_cells_three, \ + predefine_grouping_frame, save_arrays_susept +from threefish.RAM.values import find_all_dir_cells, ws_nonlin_systems +from threefish.reformat import load_b_public def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, devs=['2'], @@ -34,20 +22,16 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, devs=['2' show = True datasets, data_dir = find_all_dir_cells() - DF2_desired = [-33] - DF1_desired = [133] - autodefine = '_dfchosen_closest_first_' + cells = ['2021-08-03-ac-invivo-1'] c2 = 10 eodftype = '_psdEOD_' - indices = ['_allindices_'] chirps = [ ''] # '_ChirpsDelete3_',,'_ChirpsDelete3_'','','',''#'_ChirpsDelete3_'#''#'_ChirpsDelete3_'#'#'_ChirpsDelete2_'#''#'_ChirpsDelete_'#''#'_ChirpsDelete_'#''#'_ChirpsDelete_'#''#'_ChirpsCache_' extract = '' # '_globalmax_' if len(cells) < 1: data_dir, cells = load_cells_three(end, data_dir=data_dir, datasets=datasets) - start = 'min' # cells = ['2021-08-03-ac-invivo-1'] ax_s = [] @@ -64,14 +48,14 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, devs=['2' b = load_b_public(c, cell, data_dir) - mt_sorted = predefine_grouping_frame(b, eodftype=eodftype, cell_name=cell) - mt_sorted = mt_sorted[(mt_sorted['c2'] == c2) & (mt_sorted['c1'] == c1)] + frame_loaded = predefine_grouping_frame(b, eodftype=eodftype, cell_name=cell) + frame_loaded = frame_loaded[(frame_loaded['c2'] == c2) & (frame_loaded['c1'] == c1)] for gg in range(len(DF1_desired)): ax_w = [] ################### # all trials in one - group_mean = group_saved_matrix(DF1_desired, DF2_desired, gg, mt_sorted) + group_mean = group_saved_matrix(DF1_desired, DF2_desired, gg, frame_loaded) detection = 'MeanTrialsIndexPhaseSort' mean_type = '_' + detection # + '_' + minsetting + '_' + extend_trials + concat @@ -79,7 +63,7 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, devs=['2' ############################################################## # load plotting arrays arrays, arrays_original, spikes_pure = save_arrays_susept( - data_dir, cell, c, chirps, devs, extract, group_mean, mean_type, plot_group=0, + data_dir, cell, c, chirps, extract, group_mean, mean_type, plot_group=0, rocextra=False, sorted_on=sorted_on, dev_desired = dev_desired) #################################################### @@ -92,14 +76,14 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, devs=['2' right=0.935, height_ratios=[0.5, 5.3]) # height_ratios=[1, 2], height_ratios = [1,6]bottom=0.25, top=0.8, ########################################################################## - # plot shemes above + # plot shemes above (top) grid00 = gridspec.GridSpecFromSubplotSpec(1, 4, wspace=0.15, hspace=0.05, subplot_spec=grid[0, :]) plot_pictograms(ax_s, grid00) ########################################################################## - # plot stimulus + # plot stimulus (first row) grid0 = gridspec.GridSpecFromSubplotSpec(5, 4, wspace=0.15, hspace=0.35, subplot_spec=grid[1, :], height_ratios=[1, 0.35, 1.2, 0, 3, ]) @@ -110,7 +94,7 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, devs=['2' ylim) ########################################## - # spike response + # spike response (bottom) array_chosen = 1 smoothed_base = arrays[0][0] diff --git a/nonlin_regime.pdf b/nonlin_regime.pdf index e9aad4f..e59a374 100644 Binary files a/nonlin_regime.pdf and b/nonlin_regime.pdf differ diff --git a/nonlin_regime.png b/nonlin_regime.png index 2b26231..7e3a814 100644 Binary files a/nonlin_regime.png and b/nonlin_regime.png differ diff --git a/nonlin_regime.py b/nonlin_regime.py index b20b561..311949a 100644 --- a/nonlin_regime.py +++ b/nonlin_regime.py @@ -3,36 +3,29 @@ import sys import numpy as np import pandas as pd -from IPython import embed from matplotlib import gridspec, pyplot as plt from plotstyle import plot_style from threefish.calc_time import extract_am from threefish.core import find_code_vs_not, find_folder_name, find_project_data, info -from threefish.defaults import default_figsize, default_ticks_talks +from threefish.defaults import default_figsize from threefish.load import load_savedir, resave_small_files, save_visualization -from threefish.plot.limits import join_x, join_y, set_same_ylim +from threefish.plot.limits import set_same_ylim from threefish.RAM.calc_fft import log_calc_psd from threefish.RAM.calc_model import chose_old_vs_new_model from threefish.RAM.core import find_load_function -from threefish.RAM.plot_labels import label_deltaf1, label_deltaf2, label_diff, label_f_eod_name_core_rm, \ - label_fbasename_small, label_sum, \ - onebeat_cond, \ +from threefish.RAM.plot_labels import label_deltaf1, label_deltaf2, label_diff, label_fbasename_small, label_sum, \ remove_yticks from threefish.RAM.plot_subplots import colors_suscept_paper_dots, plt_spikes_ROC, recalc_fr_to_DF1 -from threefish.RAM.values import val_cm_to_inch, vals_model_full -from threefish.twobeat.calc_model import calc_roc_amp_core_cocktail -from threefish.twobeat.colors import colors_susept, twobeat_cond -from threefish.twobeat.labels import f_stable_name, f_vary_name +from threefish.RAM.values import vals_model_full +from threefish.twobeat.calc_model import calc_threefish_model +from threefish.twobeat.colors import colors_susept from threefish.twobeat.reformat import c_dist_recalc_func, c_dist_recalc_here, dist_recalc_phaselockingchapter, \ - find_dfs, \ - get_frame_cell_params -from threefish.twobeat.subplots import plt_psd_saturation, plt_single_trace, plt_stim_saturation, plt_vmem_saturation, \ - power_spectrum_name -from threefish.values import values_nfft_full_model, values_stimuluslength_model_full + find_dfs +from threefish.twobeat.subplots import plt_psd_saturation, plt_single_trace, plt_stim_saturation, power_spectrum_name -def nonlin_regime0(yposs=[450, 450, 450], show=True): +def nonlin_regime0(): results_diff = pd.DataFrame() @@ -74,13 +67,13 @@ def nonlin_regime0(yposs=[450, 450, 450], show=True): subplot_spec=grid0[0], height_ratios=[1.5,1],) # height_ratios=[2,1], ############################ - # overview + # overview, panel E grid_down = gridspec.GridSpecFromSubplotSpec(1, 1, hspace=0.75, wspace=0.1, subplot_spec=grid00[1]) # 1.2hspace=0.4,wspace=0.2,len(chirps) ax_u1, c_dist_recalc, c_nrs, color0, color01, color012, color01_2, color02, eodf, f_counter, frame_cell, frame_cell_orig, freq1, freq2, i, sampling = plt_amplitudes_for_contrasts( - c_nrs_orig, cell_here, freq1, freq2, grid_down, yposs) + c_nrs_orig, cell_here, freq1, freq2, grid_down, yposs = [[220, 220, 220, 220]]) ############################## @@ -105,19 +98,18 @@ def nonlin_regime0(yposs=[450, 450, 450], show=True): model_cells, reshuffled = chose_old_vs_new_model(model_fit=model_fit) axe_all = [] + xlimp = (0, 300) + n = 1 + dev = 0.001 + dev_name = ['05'] + a_fr = 1 + a = 0 for c_nn, c_nr in enumerate(c_nrs): - + a_f2s = [c_nrs_orig[c_nn]] ################################# # hier wurden die psds vorgespeichert weil die lange brauchen - a_f2s = [c_nrs_orig[c_nn]] - xlimp = (0, 300) - runs = 1 - n = 1 - dev = 0.001 - dev_name = ['05'] - a_fr = 1 - a = 0 + @@ -150,38 +142,23 @@ def nonlin_regime0(yposs=[450, 450, 450], show=True): nfft_here = stimulus_length_here * 20000 a_f2s = [c_nrs_orig[c_nn]] - _, arrays_spikes, arrays_stim, _, _, _, _, arrays, names, _, _ = calc_roc_amp_core_cocktail([freq1 + eodf], - [freq2 + eodf], - auci_wo, auci_w, - results_diff, - a_f2s, - trials_nr, - nfft_here, a_fr, - stimulus_length_here, - model_cells, - position_diff, - dev, cell_here, - a_f1s=[ - c_nrs_orig[ - c_nn]], - dev_name=dev_name, - min_amps='_minamps_', - n=n, - reshuffled=reshuffled, - mean_choice='', - printing_cell=False) + # v_mems, arrays_spikes, arrays_stim, frame_diff, position_diff, arrays_convovled, names, p_array, ff + _, spikes_arrays_all, stimulus_arrays_all, _, _, convovled_arrays, threefish_names, _, _ = calc_threefish_model( + results_diff, position_diff, model_cells, cell_here, trials_nr=trials_nr, + stimulus_length=stimulus_length_here, freq1=[freq1 + eodf], freq2=[freq2 + eodf], a_f2s=a_f2s, a_f1s=[ + c_nrs_orig[ + c_nn]], a_fr=a_fr, dev=dev, dev_name=dev_name, n=n, reshuffled=reshuffled, nfft=nfft_here, + psd_min_amps='_minamps_', mean_choice='', printing_cell=False)#means_different ################################################################## - # preprocessing der arrays - time = np.arange(0, len(arrays[a][0]) / sampling, 1 / sampling) + # plot panels A, B, C, D + time = np.arange(0, len(convovled_arrays[a][0]) / sampling, 1 / sampling) time = time * 1000 - arrays_time = [arrays[3]] # [v_mems[1],v_mems[3]]#[1,2]#[1::] - arrays_here = [arrays[3]] # [arrays[1],arrays[3]]#arrays[1::]# - arrays_st = [arrays_stim[3]] #1:: [arrays_stim[1],arrays_stim[3]]# - arrays_sp = [arrays_spikes[3]] # [arrays_spikes[1],arrays_spikes[3]]#arrays_spikes[1::] - colors_array_here = ['grey', 'grey', 'grey'] # colors_array[1::] + # die arrays die rausgegeben werden sind für das threefish problem und hier nehmen wir nur den 012, also wo alle fische dabei sind + stimuli_arrays = [stimulus_arrays_all[3]] #1:: [stimulus_arrays_all[1],stimulus_arrays_all[3]]# + spike_arrays = [spikes_arrays_all[3]] # [spikes_arrays_all[1],spikes_arrays_all[3]]#spikes_arrays_all[1::] p_arrays_all.append(p_arrays_here) - for a in range(len(arrays_here)): + for a in range(len(stimuli_arrays)): grid_pt = gridspec.GridSpecFromSubplotSpec(3, 1, hspace=0.3, @@ -193,36 +170,43 @@ def nonlin_regime0(yposs=[450, 450, 450], show=True): ######################################## # plot stimulus - plt_stim_nonlin(arrays_st, axe_all, axes, c_nn, c_nrs, colors_array_here, grid_pt, i, time, xlim) + plt_stim_nonlin(stimuli_arrays, axe_all, axes, c_nn, c_nrs, ['grey'], grid_pt, i, time, xlim) ############################# # plot spikes - plt_spikes_nonlin(a, arrays_sp, axps, axss, c_nn, grid_pt, xlim) + plt_spikes_nonlin(a, spike_arrays, axss, c_nn, grid_pt, xlim) + + ############################# + # preallocate psd ax + axp = plt.subplot(grid_pt[-1]) + axps.append(axp) f_counter += 1 #################### - # plot psds - a = plt_psd_nonlin(a, arrays_here, axps, c_nrs, color0, color01, color012, color01_2, color02, - colors_array_here, ff_p, frame_cell_orig, freq1, freq2, log, p_arrays_all, xlimp) + # plot psds, panels A, B, C, D, bottom + plt_psd_nonlin(axps, c_nrs, color0, color01, color012, color01_2, color02, + ['grey'], ff_p, frame_cell_orig, freq1, freq2, log, p_arrays_all, xlimp) + ################### + # limits axps[0].get_shared_y_axes().join(*axps) axps[0].get_shared_x_axes().join(*axps) set_same_ylim(axe_all) set_same_ylim(axps) + fig = plt.gcf() fig.tag([axes[0], axes[1], axes[2], axes[3], ax_u1], xoffs=-2.3, yoffs=1.4) - save_visualization(cell_here, show) + save_visualization(cell_here, show=True) -def plt_spikes_nonlin(a, arrays_sp, axps, axss, c_nn, grid_pt, xlim): +def plt_spikes_nonlin(a, arrays_sp, axss, c_nn, grid_pt, xlim): axs = plt.subplot(grid_pt[1]) plt_spikes_ROC(axs, 'grey', np.array(arrays_sp[a], dtype=object) * 1000, xlim, lw=1) if c_nn == 0: axs.xscalebar(0.15, -0.1, 30, 'ms', va='right', ha='bottom') axss.append(axs) - axp = plt.subplot(grid_pt[-1]) - axps.append(axp) + def plt_stim_nonlin(arrays_st, axe_all, axes, c_nn, c_nrs, colors_array_here, grid_pt, i, time, xlim): @@ -244,11 +228,11 @@ def plt_stim_nonlin(arrays_st, axe_all, axes, c_nn, c_nrs, colors_array_here, gr axe_all.append(axe) -def plt_psd_nonlin(a, arrays_here, axps, c_nrs, color0, color01, color012, color01_2, color02, colors_array_here, ff_p, +def plt_psd_nonlin(axps, c_nrs, color0, color01, color012, color01_2, color02, colors_array_here, ff_p, frame_cell_orig, freq1, freq2, log, p_arrays_all, xlimp): pps = [] for c_nn, c_nr in enumerate(c_nrs): - for a in range(len(arrays_here)): + for a in range(len(p_arrays_all[c_nn])): axps_here = [[axps[0], axps[1], axps[2], axps[3]]] # [axps[3], axps[4], axps[5] axp = axps_here[a][c_nn] @@ -263,6 +247,7 @@ def plt_psd_nonlin(a, arrays_here, axps, c_nrs, color0, color01, color012, color label_sum(), label_diff(), label_fbasename_small(), label_fbasename_small()] freqs = [np.abs(freq1), np.abs(freq2), np.abs(freq1) + np.abs(freq2), np.abs(np.abs(freq1) - np.abs(freq2)), fr] + plt_psd_saturation(pp, ff_p, a, axp, colors_array_here, freqs=freqs, colors_peaks=colors_peaks, xlim=xlimp, markeredgecolor=markeredgecolors, labels=labels, log=log, add_log=5) @@ -289,7 +274,6 @@ def plt_psd_nonlin(a, arrays_here, axps, c_nrs, color0, color01, color012, color else: axp.set_ylabel(power_spectrum_name()) axp.set_xlabel('Frequency [Hz]') - return a def load_psds_for_nonlin_regime(a_f2s, a_fr, auci_w, auci_wo, c_nn, c_nrs_orig, cell_here, dev, @@ -338,9 +322,28 @@ def develop_save_nonlin_psd_values(a_f2s, a_fr, auci_w, auci_wo, c_nn, c_nrs_ori name_psd_f, nfft_here, position_diff, reshuffled, results_diff, stimulus_length_here, trials_nr, xlimp): # psd generierung - _, _, arrays_stim, results_diff, position_diff, auci_wo, auci_w, arrays, names, p_arrays_p, ff_p = calc_roc_amp_core_cocktail( - [freq1 + eodf], [freq2 + eodf], auci_wo, auci_w, results_diff, a_f2s, trials_nr, nfft_here, a_fr, - stimulus_length_here, model_cells, position_diff, dev, cell_here,a_f1s=[c_nrs_orig[c_nn]], dev_name=dev_name, min_amps='_minamps_', n=n, reshuffled=reshuffled, mean_choice='first') + _, _, arrays_stim, results_diff, position_diff, arrays, names, p_arrays_p, ff_p = calc_threefish_model(results_diff, + position_diff, + model_cells, + cell_here, + trials_nr=trials_nr, + stimulus_length=stimulus_length_here, + freq1=[ + freq1 + eodf], + freq2=[ + freq2 + eodf], + a_f2s=a_f2s, + a_f1s=[ + c_nrs_orig[ + c_nn]], + a_fr=a_fr, + dev=dev, + dev_name=dev_name, + n=n, + reshuffled=reshuffled, + nfft=nfft_here, + psd_min_amps='_minamps_', + mean_choice='first') p_arrays_here = [p_arrays_p[3]] # embed() for p in range(len(p_arrays_here)): @@ -351,7 +354,7 @@ def develop_save_nonlin_psd_values(a_f2s, a_fr, auci_w, auci_wo, c_nn, c_nrs_ori return auci_w, auci_wo, ff_p, p_arrays_here, position_diff, results_diff -def plt_amplitudes_for_contrasts(c_nrs_orig, cell_here, freq1, freq2, grid_down, yposs): +def plt_amplitudes_for_contrasts(c_nrs_orig, cell_here, freq1, freq2, grid_down, yposs = [[220, 220, 220, 220]]): full_names = [ 'calc_model_amp_freqs-_F1_0.22833333333333333Fr_F2_1Fr_af_coupled__C1Len_100_FirstC1_0.0001_LastC1_0.3_FRrelavtiv__start_0.0001_end_0.3_StimLen_100_nfft_20000_trialsnr_1_mult_minimum_1_power_1_minamps__dev_original_05_not_log__point_1_fft2_temporal'] for i, full_name in enumerate(full_names): @@ -450,4 +453,4 @@ def load_nonlin_regime_values(full_name): if __name__ == '__main__': sys.excepthook = info - nonlin_regime0(yposs = [[220, 220, 220, 220]],)#, [430,470], [200,200], [200,200, 200, 200], [200,200, 200, 200], [200,200, 200, 200] \ No newline at end of file + nonlin_regime0() \ No newline at end of file diff --git a/plot_chi2.pdf b/plot_chi2.pdf index d1c33c7..853a28f 100644 Binary files a/plot_chi2.pdf and b/plot_chi2.pdf differ diff --git a/plot_chi2.png b/plot_chi2.png index d71de54..5d2f7da 100644 Binary files a/plot_chi2.png and b/plot_chi2.png differ diff --git a/plot_chi2.py b/plot_chi2.py index 26deb6d..f7af2d2 100644 --- a/plot_chi2.py +++ b/plot_chi2.py @@ -1,23 +1,25 @@ -import numpy as np import matplotlib.pyplot as plt +import numpy as np from matplotlib import rc +from threefish.defaults import default_figsize, default_settings from threefish.load import save_visualization from threefish.plot.colorbar import colorbar_outside from threefish.plot.limits import set_clim_same +from threefish.plot.plotstyle import plot_style from threefish.plot.tags import tag2 from threefish.RAM.calc_analytics import calc_nonlin_analytic_values from threefish.RAM.plot_subplots import plt_RAM_perc from threefish.RAM.reformat_matrix import convert_csv_str_to_float -from threefish.defaults import default_figsize, default_settings -from threefish.plot.plotstyle import plot_style from threefish.RAM.values import perc_model_full rc('text', usetex=True) def plot_chi2(): - frame, frame2 = calc_nonlin_analytic_values() + + + default_settings() # ts=13, ls=13, fs=13, lw = 0.7 plot_style() default_figsize(column=2, length=2.5) @@ -25,19 +27,22 @@ def plot_chi2(): plt.subplots_adjust(bottom=0.2, wspace=0.35, left=0.1, right=0.92) ################################################### - # plot transfer function - frame = frame.astype(complex) - ax[0].plot(frame.index, np.abs(frame['transfer']), color='black') + transfer_values, suscept_values = calc_nonlin_analytic_values() + + ################################################### + # plot transfer function, panel A + transfer_values = transfer_values.astype(complex) + ax[0].plot(transfer_values.index, np.abs(transfer_values['transfer']), color='black') ax[0].set_xlabel(r'$f_{1}$') ax[0].set_ylabel(r'$|\chi_{1}|$') - ax[0].set_xlim(0, frame.index[-1]) + ax[0].set_xlim(0, transfer_values.index[-1]) ylim = ax[0].get_ylim() ax[0].set_ylim(0, ylim[-1]) ################################################### - # plot matrix - frame2.columns = frame2.index - new_keys, stack_plot = convert_csv_str_to_float(frame2) + # plot matrix, panel B + suscept_values.columns = suscept_values.index + new_keys, stack_plot = convert_csv_str_to_float(suscept_values) im = plt_RAM_perc(ax[1], 'perc', np.abs(stack_plot)) set_clim_same([im], mats=[np.abs(stack_plot)], @@ -45,17 +50,13 @@ def plot_chi2(): nr_clim='perc', clims='', percnr=perc_model_full()) - pos_rel = -0.12 - cbar, left, bottom, width, height = colorbar_outside(ax[1], - im, - add=5, - width=0.01) + ax[1].set_xlabel(r'$f_{1}$') ax[1].set_ylabel(r'$f_{2}$') ax[1].set_xticks_delta(0.2) ax[1].set_xticks_delta(0.2) - ax[1].set_xlim(frame2.columns[0] - 0.01, frame2.columns[-1]) - ax[1].set_ylim(frame2.columns[0] - 0.01, frame2.columns[-1]) + ax[1].set_xlim(suscept_values.columns[0] - 0.01, suscept_values.columns[-1]) + ax[1].set_ylim(suscept_values.columns[0] - 0.01, suscept_values.columns[-1]) cbar, left, bottom, width, height = colorbar_outside(ax[1], im, add=5, width=0.01) cbar.set_label(r'$|\chi_{2}|$', rotation=90, labelpad=8) tag2(axes=ax, xoffs=[-0.5, -5.5], yoffs=1.7) # ax_ams[3], @@ -64,8 +65,6 @@ def plot_chi2(): if __name__ == '__main__': - - plot_chi2() diff --git a/trialnr.pdf b/trialnr.pdf index 0a715ae..a6468f6 100644 Binary files a/trialnr.pdf and b/trialnr.pdf differ diff --git a/trialnr.png b/trialnr.png index 419a415..029c8c8 100644 Binary files a/trialnr.png and b/trialnr.png differ diff --git a/trialnr.py b/trialnr.py index b800730..552bde5 100644 --- a/trialnr.py +++ b/trialnr.py @@ -2,15 +2,15 @@ import os import numpy as np import pandas as pd -from IPython import embed from matplotlib import pyplot as plt + from plotstyle import plot_style -from threefish.RAM.plot_labels import title_find_cell_add -from threefish.defaults import default_figsize, default_settings -from threefish.load import save_visualization -from threefish.RAM.reformat_matrix import get_stack, load_model_susept from threefish.core import find_folder_name +from threefish.defaults import default_figsize +from threefish.load import save_visualization from threefish.RAM.calc_model import trial_nrs_ram_model +from threefish.RAM.plot_labels import title_find_cell_add +from threefish.RAM.reformat_matrix import get_stack, load_model_susept ##from update_project import * @@ -33,36 +33,33 @@ def trialnr(): ################################## # model part - cell = '2013-01-08-aa-invivo-1' - cells_given = [cell] + cells = ['2013-01-08-aa-invivo-1'] trial_nrs_here = trial_nrs_ram_model() fig, ax = plt.subplots(1, 1) ax = [ax] - alphas = [1]#, 1, 1] - colors = ['black']#, 'black','red'] - for s in range(len(colors)): - perc05, perc90, perc95 = get_lines_trialnr(cell, cells_given, s, trial_nrs_here) - - ####################### - # plot 99the percentiel - ax[0].plot(trial_nrs_here, perc95, color = colors[s], clip_on = False, label = '99.99th percentile', alpha = alphas[s]) - ax[0].scatter(trial_nrs_here, perc95, color = colors[s], clip_on = False, alpha = alphas[s]) - ax[0].set_xscale('log')#colors[s] - ax[0].set_yscale('log') - ax[0].set_xlabel('Trials [$N$]') - ax[0].set_ylabel('$|\chi_{2}|$\,[Hz]') - ax[0].set_xlim(8, 10000000) - - ############################################ - # plot percentile - ax[0].plot(trial_nrs_here, perc90, color='grey', clip_on=False, label='90th percentile', alpha=alphas[s]) - 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].scatter(trial_nrs_here, perc90, color='grey', clip_on=False, alpha = alphas[s]) - ax[0].legend() + + perc05, perc90, perc95 = get_lines_trialnr(cells, trial_nrs_here) + + ####################### + # plot 99the percentile + ax[0].plot(trial_nrs_here, perc95, color = 'black', clip_on = False, label = '99.99th percentile') + ax[0].scatter(trial_nrs_here, perc95, color = 'black', clip_on = False) + ax[0].set_xscale('log')#colors[s] + ax[0].set_yscale('log') + ax[0].set_xlabel('Trials [$N$]') + ax[0].set_ylabel('$|\chi_{2}|$\,[Hz]') + ax[0].set_xlim(8, 10000000) + + ############################################ + # plot percentiles + ax[0].plot(trial_nrs_here, perc90, color='grey', clip_on=False, label='90th percentile') + ax[0].plot(trial_nrs_here, perc05, color='lightgrey', clip_on=False, label = '10th percentile') + ax[0].scatter(trial_nrs_here, perc05, color='lightgrey', clip_on=False) + ax[0].scatter(trial_nrs_here, perc90, color='grey', clip_on=False) + ax[0].legend() plt.subplots_adjust(left = 0.1, right = 0.9, bottom = 0.2, top = 0.95) @@ -70,7 +67,7 @@ def trialnr(): save_visualization(pdf=True) -def get_lines_trialnr(cell, cells_given, s, trial_nrs_here): +def get_lines_trialnr(cells_given, trial_nrs_here): stacks = [] perc95 = [] perc90 = [] @@ -88,29 +85,23 @@ def get_lines_trialnr(cell, cells_given, s, trial_nrs_here): save_names = [ '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( tr) + '_a_fr_1__trans1s__TrialsNr_1_fft_o_forward_fft_i_forward_Hz_mV'] - - save_name = save_names[s] - - - save_name = find_folder_name('calc_model') + '/' + save_name - + save_name = find_folder_name('calc_model') + '/' + save_names[0] cell_add, cells_save = title_find_cell_add(cells_given) - path = save_name + '.pkl' # '../'+ - stack = load_model_susept(path, cells_save, save_name.split(r'/')[-1] + cell_add) + suscept_matrix = load_model_susept(path, cells_save, save_name.split(r'/')[-1] + cell_add) + + if len(suscept_matrix) > 0: + model_show, stack_plot, stack_plot_wo_norm = get_stack(cells_given[0], suscept_matrix) - if len(stack) > 0: - model_show, stack_plot, stack_plot_wo_norm = get_stack(cell, stack) stacks.append(stack_plot) - if 'counter_validate' in stack.keys(): - counter.append(stack['counter_validate'].iloc[0]) + if 'counter_validate' in suscept_matrix.keys(): + counter.append(suscept_matrix['counter_validate'].iloc[0]) else: counter.append(float('nan')) - cv_stims.append(stack['cv_stim_mean'].iloc[0]) - fr_stims.append(stack['fr_stim_mean'].iloc[0]) - vars.append(stack['var_RAM'].iloc[0]) - + cv_stims.append(suscept_matrix['cv_stim_mean'].iloc[0]) + fr_stims.append(suscept_matrix['fr_stim_mean'].iloc[0]) + vars.append(suscept_matrix['var_RAM'].iloc[0]) perc95.append(np.percentile(stack_plot, 99.9)) # 99.99 perc90.append(np.percentile(stack_plot, 90)) perc05.append(np.percentile(stack_plot, 10)) @@ -129,7 +120,6 @@ def get_lines_trialnr(cell, cells_given, s, trial_nrs_here): perc90.append(float('nan')) perc05.append(float('nan')) median.append(float('nan')) - stacks_wo_norm.append([]) perc95_wo_norm.append(float('nan')) perc05_wo_norm.append(float('nan')) @@ -168,11 +158,9 @@ def print_table_for_methods(): if __name__ == '__main__': - plot_style() - default_settings(lw=0.5, column=2, length=3.35) #8.5 ########################## - # hier printen wir die table Werte zum kopieren in den Text + # hier kann man die tabellen Werte zum kopieren in den Text printen lassen print_table_for_methods() trialnr()