plotting works

code/spikes_beat.py

@@ -11,6 +11,7 @@ sampling_rate = 40 #kHz
 cut_window = 100
 cut_range = np.arange(-cut_window * sampling_rate, 0, 1)
 window = 1
+inch_factor = 2.54
 #dataset = "2018-11-13-ad-invivo-1"
 #dataset = "2018-11-13-aj-invivo-1"
 #dataset = "2018-11-13-ak-invivo-1" #al
@@ -48,15 +49,30 @@ for deltaf in df_map.keys():
             rates[deltaf][x] = modulation
             break
 
-fig, ax = plt.subplots()
+plt.close()
+fig = plt.figure()
+#figsize=(5 / inch_factor, 2.5 / inch_factor))
+fig.set_size_inches((5, 2.5))
+ax = fig.add_subplot(111)
 for i, df in enumerate(sorted(rates.keys())):
+    max_rep = len(sorted(rates[df].keys()))-1
     for j, rep in enumerate(rates[df].keys()):
-        if j == 15:
+        if j == max_rep:
             farbe = 'royalblue'
-            gro = 18
+            gro = 8
         else:
             farbe = 'k'
-            gro = 12
+            gro = 6
         ax.plot(df, rates[df][rep], marker='o', color=farbe, ms=gro)
+
+#ax.set_xlabel('difference frequency [Hz]', fontsize=20)
+ax.set_ylabel('firing modulation', fontsize=16)
+ax.set_xlabel('$\Delta$f [Hz]', fontsize=16)
+
+ax.yaxis.set_tick_params(labelsize=14)
+ax.xaxis.set_tick_params(labelsize=14)
+
+ax.spines["top"].set_visible(False)
+ax.spines["right"].set_visible(False)
 fig.tight_layout()
-plt.show()
+fig.savefig('spikes_beat_20af.png')