From ebd8e5ee255b92500ab490230627ffb4d3ccc411 Mon Sep 17 00:00:00 2001
From: efish <efish@localhost.localdomain>
Date: Thu, 29 Nov 2018 17:15:51 +0100
Subject: [PATCH] buh

---
 code/eod_freq_beat.py         | 10 +++++-----
 code/repetition_firingrate.py |  4 ++--
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/code/eod_freq_beat.py b/code/eod_freq_beat.py
index 04ed6e7..71e42cc 100644
--- a/code/eod_freq_beat.py
+++ b/code/eod_freq_beat.py
@@ -25,9 +25,9 @@ time_axis = np.arange(len(ampl))
 
 
 fig, ax = plt.subplots(figsize=(20/inch_factor, 10/inch_factor))
-plt.plot(time[10000:20000], ampl)
-plt.plot(time[10000:20000][p], ampl[p], lw=2, color='k')
-plt.plot(time[10000:20000][t], ampl[t], lw=2, color='k')
+plt.plot(time[10000:20000]*1000, ampl, color='royalblue')
+plt.plot(time[10000:20000][p]*1000, ampl[p], lw=2, color='k')
+plt.plot(time[10000:20000][t]*1000, ampl[t], lw=2, color='k')
 ax.set_xlabel("time [ms]", fontsize = 22)
 plt.xticks(fontsize = 18)
 ax.set_ylabel("eod amplitude [mV]", fontsize = 22)
@@ -36,8 +36,8 @@ ax.spines["top"].set_visible(False)
 ax.spines["right"].set_visible(False)
 fig.tight_layout()
 
-plt.show()
-#plt.savefig('beat.png')
+#plt.show()
+plt.savefig('beat.png')
 
 
 
diff --git a/code/repetition_firingrate.py b/code/repetition_firingrate.py
index 1047b45..30d8b41 100644
--- a/code/repetition_firingrate.py
+++ b/code/repetition_firingrate.py
@@ -8,7 +8,7 @@ from IPython import embed
 # define sampling rate and data path
 sampling_rate = 40 #kHz
 data_dir = "../data"
-dataset = "2018-11-14-al-invivo-1"
+dataset = "2018-11-09-ad-invivo-1"
 inch_factor = 2.54
 # parameters for binning, smoothing and plotting
 cut_window = 60
@@ -87,7 +87,7 @@ for df in df_phase_time.keys():
 
         ax[1].plot(time_axis[0+5*sampling_rate:-5*sampling_rate], smoothed_spikes[0+5*sampling_rate:-5*sampling_rate]*1000, color='royalblue', lw = 2)
 
-        ax[0].set_title('df = %s Hz' %(df), fontsize = 18)
+        ax[0].set_title('$\Delta$f = %s Hz' %(df), fontsize = 18)
         ax[0].set_ylabel('repetition', fontsize=22)
         ax[0].yaxis.set_label_coords(-0.1, 0.5)
         ax[0].set_yticks(np.arange(1, len(plot_trials)+1,2))