ladbar machen
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ampullary.py
11
ampullary.py
@ -1,10 +1,21 @@
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import cProfile
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import pstats
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from IPython import embed
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from threefish.RAM.reformat_cellchoice import p_units_to_show
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from threefish.RAM.reformat_population import update_cell_names
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from threefish.RAM.plots import ampullary_punit
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if __name__ == '__main__':
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''' #cells_plot2 = p_units_to_show(type_here='amp') # permuted = True,
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cProfile.run('ampullary_punit(eod_metrice = False, base_extra = True,color_same = False, tags_individual = True, isi_delta = 5, titles=[''], RAM=False, add_texts = [0.25,1.3])', 'profiling_results')
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p = pstats.Stats('profiling_results')
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p.sort_stats('cumulative').print_stats(400)
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p.sort_stats('tottime').print_stats(400)
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embed()'''
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test = False
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43
data/csv_model_data.csv
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data/csv_model_data.csv
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@ -0,0 +1,43 @@
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,cv_model,cv_data,fr_model,fr_data,cell
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0,0.6817438393691468,0.775348772871252,388.2,390.7721280602637,2011-10-25-ad-invivo-1
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1,0.9508274735502914,0.8965052621271561,411.0,410.9397330196768,2012-04-20-ak-invivo-1
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2,0.5062394529494908,0.638838178877662,196.3,196.1757132747204,2012-05-10-ad-invivo-1
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3,0.4313155746954917,0.4234497042476461,138.1,137.66853751370877,2012-06-27-ah-invivo-1
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4,0.2702557920562157,0.2838546105957824,95.8,93.17812014340711,2012-06-27-an-invivo-1
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5,0.2018004189541085,0.2042869314174391,120.5,120.16822304668206,2012-07-03-ak-invivo-1
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6,0.2714472771565104,0.267171156460565,104.4,104.22327693441058,2012-07-12-ag-invivo-1
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7,0.464294520853177,0.4741584289508612,179.2,177.8483458675932,2012-07-12-ap-invivo-1
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8,0.3129464568674385,0.2897538008699986,178.2,178.40404970636052,2012-12-13-af-invivo-1
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9,0.476896604692532,0.5470582985053059,136.8,132.94146821454265,2012-12-13-ag-invivo-1
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10,0.3058664738568734,0.2926742597182857,179.4,179.92489302376225,2012-12-13-ah-invivo-1
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11,0.1146476609507728,0.197727202865953,145.4,144.01051894440496,2012-12-13-an-invivo-1
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12,0.2420048399479115,0.1962198686538558,146.2,146.08206706437974,2012-12-13-ao-invivo-1
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13,0.2339278724764407,0.2028659448806151,120.2,120.86322123297631,2012-12-20-aa-invivo-1
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14,0.2830066432637453,0.3459463488040104,390.8,388.9157439018588,2012-12-20-ab-invivo-1
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15,0.2609956708972076,0.229096249897458,211.9,213.06481685344093,2012-12-20-ac-invivo-1
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16,0.3537774356443943,0.2930094883750296,305.3,304.5661250264298,2012-12-20-ad-invivo-1
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17,0.394150320656889,0.3263595798725144,402.0,401.61430796972553,2012-12-20-ae-invivo-1
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18,0.40250822576968,0.385670402282928,293.8,294.29171963373733,2012-12-21-ai-invivo-1
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19,0.4135295455296104,1.3153672469723925,161.2,152.91772994060364,2012-12-21-ak-invivo-1
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20,0.2125073528050415,0.2251006388180117,136.1,135.29671183456162,2012-12-21-am-invivo-1
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21,0.3232549539769884,0.3142560483939225,201.5,201.58949049208883,2012-12-21-an-invivo-1
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22,0.170057701085378,0.1540261843279488,132.0,132.0191373790424,2013-01-08-aa-invivo-1
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23,0.8927904460579393,0.9593383347256976,332.4,334.82728186778024,2014-06-06-ac-invivo-1
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24,0.7073114370674891,0.7694835270746943,122.8,117.4113188111938,2014-06-06-ag-invivo-1
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25,0.4195091411614141,0.4935468906787454,108.5,105.98729355901548,2014-12-03-ai-invivo-1
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26,0.6179630255905533,0.605908987582758,72.6,71.60510808987966,2014-12-11-aa-invivo-1
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27,0.392706646583644,0.3951171756877243,49.9,50.7617424856317,2014-12-11-ad-invivo-1
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28,0.6538937497490419,0.6882761062928278,118.2,112.59277896590766,2015-01-15-ab-invivo-1
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29,0.3858892870142897,0.3849451280752879,85.5,84.44055741832175,2015-01-20-ac-invivo-1
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30,0.637317804180754,0.6385355671740442,86.4,83.34522883100257,2015-01-20-ae-invivo-1
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31,0.4052388391422138,0.4408835041637635,72.3,66.32129300260223,2015-01-20-af-invivo-1
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32,0.5285779999909097,0.6851849246695342,136.3,133.52080193402858,2018-01-10-al
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33,0.9381457826829724,1.0424908494691056,134.7,132.48933066922888,2018-05-08-aa-invivo-1
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34,0.6746272792756959,0.646400619224395,115.8,112.20654330017982,2018-05-08-ab-invivo-1
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35,0.5324513948224344,0.5421245958202553,103.0,99.33574283838944,2018-05-08-ac-invivo-1
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36,0.6766755198990227,0.6698528425281729,228.3,225.782302546346,2018-05-08-ad-invivo-1
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37,0.4831954817759857,0.4848061066637898,143.0,141.92425603570865,2018-05-08-ae-invivo-1
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38,0.5098447003702683,0.513370493789267,315.4,315.8065989062944,2018-05-08-af-invivo-1
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39,0.3364199123649802,0.3361128299571618,142.5,141.93386929706594,2018-05-08-ai-invivo-1
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40,0.6712846024253576,0.6900755937314905,259.2,256.9962637292982,2018-06-25-ad-invivo-1
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41,0.5786794657807612,0.6005965972662757,192.0,187.8406616747939,2018-06-26-ah-invivo-1
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@ -183,10 +183,10 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, dfs=['m1'
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####################################################
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# hier checken wir ob für diesen einen Punkt das funkioniert mit der standardabweichung
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try:
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check_var_substract_method(spikes_pure)
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except:
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print('var checking not possible')
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#try:
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# check_var_substract_method(spikes_pure)
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#except:
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# print('var checking not possible')
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# fig = plt.figure()
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# grid = gridspec.GridSpec(2, 1, wspace=0.7, left=0.05, top=0.95, bottom=0.15,
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# right=0.98)
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@ -337,9 +337,11 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, dfs=['m1'
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group_mean[1].DF1) # data.eodf.iloc[0] + 50 # cell_model.eodj.iloc[0]
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a_fj = group_mean[0][0] / 100
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variant_cell = 'no' # 'receiver_emitter_jammer'
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print('f0' + str(eod_fr))
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print('f1'+str(eod_fe))
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print('f2' + str(eod_fj))
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printing = False
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if printing:
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print('f0' + str(eod_fr))
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print('f1'+str(eod_fe))
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print('f2' + str(eod_fj))
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eod_fish_j, time_array, time_fish_r, eod_fish_r, time_fish_e, eod_fish_e, time_fish_sam, eod_fish_sam, stimulus_am, stimulus_sam = extract_waves(
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variant_cell, '',
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stimulus_length, deltat, eod_fr, a_fr, a_fe, [eod_fe], 0, eod_fj, a_fj)
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@ -391,7 +393,7 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, dfs=['m1'
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ax.text(0, -0.16, '20 ms', va='center', fontsize=10,
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transform=ax.transAxes)
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printing = True
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printing = False
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if printing:
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print(time.time() - t3)
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@ -456,8 +458,7 @@ def motivation_all_small(dev_desired = '1', ylim=[-1.25, 1.25], c1=10, dfs=['m1'
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individual_tag = 'DF1' + str(DF1_desired[gg]) + 'DF2' + str(
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DF2_desired[gg]) + cell + '_c1_' + str(c1) + '_c2_' + str(c2) + mean_type
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# save_all(individual_tag, show, counter_contrast=0, savename='')
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# print('individual_tag')
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axes = []
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axes.append(ax_w)
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@ -10,7 +10,7 @@ from plotstyle import plot_style
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from threefish.calc_time import extract_am
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from threefish.core import find_folder_name, find_project_data, info
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from threefish.defaults import default_figsize, default_ticks_talks
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from threefish.load import load_savedir, save_visualization
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from threefish.load import load_savedir, resave_small_files, save_visualization
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from threefish.plot.limits import join_x, join_y, set_same_ylim
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from threefish.RAM.calc_fft import log_calc_psd
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from threefish.RAM.calc_model import chose_old_vs_new_model
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@ -70,7 +70,8 @@ def nonlin_regime(yposs=[450, 450, 450], printing=False, beat='',
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########################################
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# für das model_full, die Freuqnezen
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DF1_frmult, DF2_frmult = vals_model_full(val=0.30833333333333335)
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frame_cvs = pd.read_csv(find_folder_name('calc_base')+'/csv_model_data.csv')
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frame_cvs = resave_small_files('csv_model_data.csv', load_folder = 'calc_base')
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#frame_cvs = pd.read_csv(find_folder_name('calc_base')+'/csv_model_data.csv')
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frame_cell = frame_cvs[frame_cvs.cell == '2012-07-03-ak-invivo-1']
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#embed()
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for d in range(len(DF1_frmult)):
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BIN
profiling_results
Normal file
BIN
profiling_results
Normal file
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