updated model full

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saschuta 2024-02-29 15:27:03 +01:00
parent d40b6e14a8
commit ebe6f5324b
24 changed files with 135213 additions and 35 deletions

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@ -4,67 +4,77 @@ def model_full():
plot_style()
default_figsize(column=2, length=2.3)
grid = gridspec.GridSpec(1, 2, wspace=0.6, bottom = 0.1,hspace=0.15, top=0.95, left=0.075, right=0.87)
grid = gridspec.GridSpec(1, 1, wspace=0.6, bottom = 0.1,hspace=0.15, top=0.95, left=0.075, right=0.87)
axes = []
##################################
# model part
ls = '--'
lw = 0.5
ax = plt.subplot(grid[1])
ax = plt.subplot(grid[0])
axes.append(ax)
perc,im,stack_final = plt_model_big(ax, ls = ls, lw = 0.5)
fr_waves = 139
fr_noise = 120
f1 = 33
f2 = 139
#embed()
ax.plot(fr_noise * f1/fr_waves, fr_noise*f2/fr_waves, 'o', ms = 5, markeredgecolor = 'white', markerfacecolor="None")
ax.plot(fr_noise * f1 / fr_waves, -fr_noise * f2 / fr_waves, 'o', ms = 5, markeredgecolor='white', markerfacecolor="None")
# if len(cbar) > 0:
###############################
# data part
ax = plt.subplot(grid[0])
axes.append(ax)
cell = '2012-07-03-ak-invivo-1'
mat_rev,stack_final_rev = load_stack_data_susept(cell, save_name = version_final(), end = '_revQuadrant_')
mat, stack = load_stack_data_susept(cell, save_name=version_final(), end = '')
#embed()
#try:
full_matrix = create_full_matrix2(np.array(mat),np.array(mat_rev))
#except:
# print('full matrix something')
# embed()
data_extra = False
if data_extra:
ax = plt.subplot(grid[0])
axes.append(ax)
cell = '2012-07-03-ak-invivo-1'
mat_rev,stack_final_rev = load_stack_data_susept(cell, save_name = version_final(), end = '_revQuadrant_')
mat, stack = load_stack_data_susept(cell, save_name=version_final(), end = '')
#embed()
#try:
full_matrix = create_full_matrix2(np.array(mat),np.array(mat_rev))
#except:
# print('full matrix something')
# embed()
stack_final = get_axis_on_full_matrix(full_matrix, mat)
stack_final = get_axis_on_full_matrix(full_matrix, mat)
abs_matrix = np.abs(stack_final)
#embed()
#if np.
abs_matrix, add_nonlin_title, resize_val = rescale_colorbar_and_values(abs_matrix)
abs_matrix = np.abs(stack_final)
#embed()
#if np.
abs_matrix, add_nonlin_title, resize_val = rescale_colorbar_and_values(abs_matrix)
ax.axhline(0, color = 'white', linestyle = ls, linewidth = lw)
ax.axvline(0, color='white', linestyle = ls, linewidth = lw)
im = plt_RAM_perc(ax, perc, abs_matrix)
cbar, left, bottom, width, height = colorbar_outside(ax, im, add=5, width=0.01)
ax.axhline(0, color = 'white', linestyle = ls, linewidth = lw)
ax.axvline(0, color='white', linestyle = ls, linewidth = lw)
im = plt_RAM_perc(ax, perc, abs_matrix)
cbar, left, bottom, width, height = colorbar_outside(ax, im, add=5, width=0.01)
set_clim_same_here([im], mats=[abs_matrix], lim_type='up', nr_clim='perc', clims='', percnr=95)
set_clim_same_here([im], mats=[abs_matrix], lim_type='up', nr_clim='perc', clims='', percnr=95)
#clim = im.get_clim()
#if clim[1]> 1000:
#todo: change clim values with different Hz values
#embed()
cbar.set_label(nonlin_title(add_nonlin_title = ' ['+add_nonlin_title), rotation=90, labelpad=8)
#clim = im.get_clim()
#if clim[1]> 1000:
#todo: change clim values with different Hz values
#embed()
cbar.set_label(nonlin_title(add_nonlin_title = ' ['+add_nonlin_title), rotation=90, labelpad=8)
set_ylabel_arrow(ax, xpos = -0.07, ypos = 0.97)
set_xlabel_arrow(ax, xpos=1, ypos=-0.07)
''' eod_fr, stack_spikes = plt_data_suscept_single(ax, cbar_label, cell, cells, f, fig, file_names_exclude, lp, title,
width)'''
cbar, left, bottom, width, height = colorbar_outside(ax, im, add=5, width=0.01)
set_ylabel_arrow(ax, xpos = -0.07, ypos = 0.97)
set_xlabel_arrow(ax, xpos=1, ypos=-0.07)
''' eod_fr, stack_spikes = plt_data_suscept_single(ax, cbar_label, cell, cells, f, fig, file_names_exclude, lp, title,
width)'''
cbar, left, bottom, width, height = colorbar_outside(ax, im, add=5, width=0.01)
#print('finished model_full')
fig = plt.gcf()
#axes = plt.gca()
fig.tag(axes[::-1], xoffs=-4.5, yoffs=0.4) # ax_ams[3],
#fig.tag(axes[::-1], xoffs=-4.5, yoffs=0.4) # ax_ams[3],
save_visualization()

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32 30 181.52999999952996 183.24999999956376 200.9949999998803
33 31 202.47999999961436 202.3750000002768 202.59500000038815
34 32 204.0050000001979 203.97499999987517 205.41999999996324
35 33 205.60499999979626 205.80000000015602 207.09500000039543
36 34 207.40499999979917 208.47499999988244 209.99499999989484
37 35 211.7050000003114 213.12499999973838 231.01999999990358
38 36 229.9300000001135 231.15000000004542 232.67000000005783
39 37 232.7050000000422 233.99999999989845 235.7200000003154
40 38 235.6049999995416 235.75000000025497 237.37000000046964
41 39 237.30500000025174 239.9499999996554 241.77000000027465
42 40 238.9049999998501 241.89999999950697 261.22000000005346
43 41 261.22999999975985 261.249999999993 262.89500000048565
44 42 262.73000000006544 264.2000000000483 265.8699999999094
45 43 265.6050000001964 267.04999999990133 267.6699999999123
46 44 267.2300000000727 268.89999999955063 270.3200000002703
47 45 268.9049999995954 290.09999999968596 291.1700000001524
48 46 290.23000000021096 292.92500000017054 292.7200000001044
49 47 292.70499999953284 295.7250000003772 294.2950000003343
50 48 294.405000000243 297.3500000002535 297.26999999975806
51 49 297.50500000014694 300.3000000003088 299.12000000031685
52 50 299.42999999972056 321.52499999981256 321.39499999967074
53 51 320.1050000003856 324.39999999994353 323.1199999997493
54 52 322.92999999996067 326.0750000003757 325.79500000038524
55 53 325.854999999738 329.0249999995215 327.5200000004638
56 54 327.55499999953867 330.6749999996758 330.3450000000389
57 55 329.22999999997086 351.67500000031606 351.3950000003256
58 56 332.35500000015276 354.27500000011815 352.99499999992395
59 57 352.95499999998395 355.94999999964085 354.6450000000782
60 58 354.5549999995823 358.95000000025203 357.4200000000069
61 59 356.12999999981224 361.09999999959865 359.1450000000855
62 60 359.07999999986754 381.47499999965686 381.64500000012185
63 61 362.20500000004944 383.09999999953317 383.14500000042744
64 62 381.9799999998035 384.7499999996874 384.89499999987447
65 63 384.5799999996056 387.5249999996161 387.6200000001568
66 64 386.28000000031574 390.6000000001516 390.5199999996562
67 65 389.13000000016876 411.5749999996045 392.47000000041726
68 66 392.330000000275 413.100000000188 413.2200000000971
69 67 413.1800000001571 414.69999999978637 414.69500000012476
70 68 414.7799999997555 417.57499999991734 417.5449999999778
71 69 416.2800000000611 420.6250000001749 419.27000000005637
72 70 417.9799999998617 441.90000000023457 421.04499999978134
73 71 422.22999999981806 444.6249999996074 441.7950000003707
74 72 441.8800000000014 446.3000000000396 444.6199999999458
75 73 443.380000000307 447.8249999997136 446.3700000003023
76 74 446.23000000016003 450.84999999969324 448.14500000002727
77 75 449.2299999998617 471.7749999994997 453.8950000002892
78 76 451.10499999978896 473.4999999995783 471.8950000003183
79 77 471.93000000030264 476.2999999997849 474.7949999998177
80 78 473.42999999969874 477.99999999958555 476.4700000002499
81 79 476.37999999975403 481.00000000019674 478.12000000040416
82 80 478.00499999963034 481.07000000045946
83 81 482.45499999999123 501.89500000006365
84 82 500.6549999995153
85 83 503.4799999999999
86 84 505.35499999992714
87 85 508.1550000001338
88 86 509.88000000021236

View File

@ -10197,7 +10197,7 @@ def plt_psds_ROC(add_burst_corr, arrays, ax00, ax_ps, cell, color_psd, colors_p,
def df2_core(DF1):
return '$|\Delta f_{2}|=|f_{1}-f_{EOD}|=%s$' %(np.abs(DF1)) + '\,Hz'
return '$|\Delta f_{2}|=|f_{2}-f_{EOD}|=%s$' %(np.abs(DF1)) + '\,Hz'
def df1_core(DF2):