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buh

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efish 2018-11-29 17:15:51 +01:00
parent 3db401a3ea
commit ebd8e5ee25
2 changed files with 7 additions and 7 deletions
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10
code/eod_freq_beat.py
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@ -25,9 +25,9 @@ time_axis = np.arange(len(ampl))
fig, ax = plt.subplots(figsize=(20/inch_factor, 10/inch_factor)) fig, ax = plt.subplots(figsize=(20/inch_factor, 10/inch_factor))
plt.plot(time[10000:20000], ampl) plt.plot(time[10000:20000]*1000, ampl, color='royalblue')
plt.plot(time[10000:20000][p], ampl[p], lw=2, color='k') plt.plot(time[10000:20000][p]*1000, ampl[p], lw=2, color='k')
plt.plot(time[10000:20000][t], ampl[t], lw=2, color='k') plt.plot(time[10000:20000][t]*1000, ampl[t], lw=2, color='k')
ax.set_xlabel("time [ms]", fontsize = 22) ax.set_xlabel("time [ms]", fontsize = 22)
plt.xticks(fontsize = 18) plt.xticks(fontsize = 18)
ax.set_ylabel("eod amplitude [mV]", fontsize = 22) ax.set_ylabel("eod amplitude [mV]", fontsize = 22)
@ -36,8 +36,8 @@ ax.spines["top"].set_visible(False)
ax.spines["right"].set_visible(False) ax.spines["right"].set_visible(False)
fig.tight_layout() fig.tight_layout()
plt.show() #plt.show()
#plt.savefig('beat.png') plt.savefig('beat.png')

4
code/repetition_firingrate.py
View File

@ -8,7 +8,7 @@ from IPython import embed
# define sampling rate and data path # define sampling rate and data path
sampling_rate = 40 #kHz sampling_rate = 40 #kHz
data_dir = "../data" data_dir = "../data"
dataset = "2018-11-14-al-invivo-1" dataset = "2018-11-09-ad-invivo-1"
inch_factor = 2.54 inch_factor = 2.54
# parameters for binning, smoothing and plotting # parameters for binning, smoothing and plotting
cut_window = 60 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[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].set_ylabel('repetition', fontsize=22)
ax[0].yaxis.set_label_coords(-0.1, 0.5) ax[0].yaxis.set_label_coords(-0.1, 0.5)
ax[0].set_yticks(np.arange(1, len(plot_trials)+1,2)) ax[0].set_yticks(np.arange(1, len(plot_trials)+1,2))