raab/GP2023_chirp_detection
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new introplot

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This commit is contained in:
weygoldt 2023-01-26 13:30:01 +01:00
parent e0d319d825
commit 1941aec6f7
2 changed files with 5 additions and 5 deletions
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4
code/plot_introduction_specs.py
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@ -41,9 +41,9 @@ def main():
freqtime2, freq2 = instantaneous_frequency(
filtered2, data.raw_rate, smoothing_window=3)
ax.plot(freqtime1*timescaler, freq1, color=ps.gblue1,
ax.plot(freqtime1*timescaler, freq1, color=ps.red,
lw=2, label="fish 1")
ax.plot(freqtime2*timescaler, freq2, color=ps.gblue2,
ax.plot(freqtime2*timescaler, freq2, color=ps.orange,
lw=2, label="fish 2")
ax.legend(bbox_to_anchor=(0, 1.02, 1, 0.2), loc="lower center",
mode="normal", borderaxespad=0, ncol=2)

6
code/plot_kdes.py
View File

@ -58,9 +58,10 @@ def jackknife(data, nresamples, subsetsize, kde_time, kernel_width, event_times,
for i in tqdm(range(nresamples)):
jackknifed_data = np.random.choice(data, subsetsize, replace=False)
jackknifed_data = np.random.choice(
diff_data, subsetsize, replace=False)
jackknifed_data = np.cumsum(diff_data)
jackknifed_data = np.cumsum(jackknifed_data)
jackknifed_data_centered = center_chirps(
jackknifed_data, event_times, time_before, time_after)
@ -72,7 +73,6 @@ def jackknife(data, nresamples, subsetsize, kde_time, kernel_width, event_times,
jackknifed_kde) / len(event_times))
jackknife_kdes.append(jackknifed_kde)
return jackknife_kdes