added data for example cells

.gitignore

@@ -1,6 +1,12 @@
 # backup files
 *~
 
+# pdf files
+*.pdf
+
+# python
+__pycache__/
+
 # ---> TeX
 ## Core latex/pdflatex auxiliary files:
 *.aux

ampullaryexamplecell.py

@@ -1,5 +1,3 @@
-import sys
-sys.path.insert(0, 'ephys')  # for analysing data
 import numpy as np
 import matplotlib.pyplot as plt
 from pathlib import Path
@@ -13,9 +11,14 @@ cell_name = '2012-05-15-ac'
 run1 = 3  # 4
 run2 = 1
 
-base_path = Path('ephys')
+example_cells = [
-data_path = base_path / 'data'
+    ['2010-11-26-an', 0],
-results_path = base_path / 'results'
+    ['2011-10-25-ac', 0],
+    ['2011-02-18-ab', 1],
+    ['2014-01-16-aj', 5],
+]
+
+data_path = Path('data')
 
 
 def plot_isih(ax, s, rate, cv, isis, pdf):
@@ -152,13 +155,13 @@ if __name__ == '__main__':
     """
     
     print('Example Ampullary cell:', cell_name)
-    eodf, rate, cv, isis, pdf, freqs, prr = load_baseline(results_path, cell_name)
+    eodf, rate, cv, isis, pdf, freqs, prr = load_baseline(data_path, cell_name)
     print(f'    baseline firing rate: {rate:.0f}Hz')
     print(f'    baseline firing CV  : {cv:.2f}')
     contrast1, time1, stimulus1, spikes1 = load_noise(data_path, cell_name, run1)
     contrast2, time2, stimulus2, spikes2 = load_noise(data_path, cell_name, run2)
-    fcutoff1, contrast1, freqs1, gain1, chi21 = load_spectra(results_path, cell_name, run1)
+    fcutoff1, contrast1, freqs1, gain1, chi21 = load_spectra(data_path, cell_name, run1)
-    fcutoff2, contrast2, freqs2, gain2, chi22 = load_spectra(results_path, cell_name, run2)
+    fcutoff2, contrast2, freqs2, gain2, chi22 = load_spectra(data_path, cell_name, run2)
     
     s = plot_style()
     s.cell_color1 = s.ampul_color1
@@ -201,15 +204,9 @@ if __name__ == '__main__':
     fig.tag([axg, axc1, axc2, axd], xoffs=-3, yoffs=2)
 
     print('Additional example cells:')
-    example_cells = [
-                     ['2010-11-26-an', 0],
-                     ['2011-10-25-ac', 0],
-                     ['2011-02-18-ab', 1],
-                     ['2014-01-16-aj', 5],
-                     ]
     for k, (cell, run) in enumerate(example_cells):
-        eodf, rate, cv, _, _, _, _ = load_baseline(results_path, cell)
+        eodf, rate, cv, _, _, _, _ = load_baseline(data_path, cell)
-        fcutoff, contrast, freqs, gain, chi2 = load_spectra(results_path, cell, run)
+        fcutoff, contrast, freqs, gain, chi2 = load_spectra(data_path, cell, run)
         dfreqs, diag = diag_projection(freqs, chi2, 2*fcutoff)
         nli, nlif = peakedness(dfreqs, diag, rate, median=False)
         print(f'    {cell:<22s}: run={run:2d}, fbase={rate:3.0f}Hz, CV={cv:.2f}, SI={nli:3.1f}')