adding coment of spectogramm
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@ -4,6 +4,7 @@ import os
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import numpy as np
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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from thunderfish.powerspectrum import decibel
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from IPython import embed
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from IPython import embed
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from pandas import read_csv
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from pandas import read_csv
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@ -49,7 +50,8 @@ class Behavior:
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self.ident = np.load(os.path.join(folder_path, 'ident_v.npy'), allow_pickle=True)
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self.ident = np.load(os.path.join(folder_path, 'ident_v.npy'), allow_pickle=True)
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self.idx = np.load(os.path.join(folder_path, 'idx_v.npy'), allow_pickle=True)
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self.idx = np.load(os.path.join(folder_path, 'idx_v.npy'), allow_pickle=True)
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self.freq = np.load(os.path.join(folder_path, 'fund_v.npy'), allow_pickle=True)
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self.freq = np.load(os.path.join(folder_path, 'fund_v.npy'), allow_pickle=True)
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self.time = np.load(os.path.join(folder_path, "times.npy"), allow_pickle=True)
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self.time = np.load(os.path.join(folder_path, "times.npy"), allow_pickle=True)
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self.spec = np.load(os.path.join(folder_path, "spec.npy"), allow_pickle=True)
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for k, key in enumerate(self.dataframe.keys()):
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for k, key in enumerate(self.dataframe.keys()):
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key = key.lower()
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key = key.lower()
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@ -154,6 +156,7 @@ def main(datapath: str):
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time_temp = bh.time[bh.idx[bh.ident==fish2_id]]
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time_temp = bh.time[bh.idx[bh.ident==fish2_id]]
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ax[3].plot((time_temp/ 60) /60, freq_temp, color=fish2_color)
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ax[3].plot((time_temp/ 60) /60, freq_temp, color=fish2_color)
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#ax[3].imshow(decibel(bh.spec), extent=[bh.time[0]/60/60, bh.time[-1]/60/60, 0, 2000], aspect='auto', origin='lower')
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# Hide grid lines
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# Hide grid lines
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ax[0].grid(False)
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ax[0].grid(False)
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@ -169,7 +172,6 @@ def main(datapath: str):
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ax[1].set_yticks([])
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ax[1].set_yticks([])
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ps.hide_ax(ax[1])
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ps.hide_ax(ax[1])
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ax[2].grid(False)
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ax[2].grid(False)
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ax[2].set_frame_on(False)
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ax[2].set_frame_on(False)
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ax[2].set_yticks([])
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ax[2].set_yticks([])
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@ -190,7 +192,7 @@ def main(datapath: str):
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ax[3].set_xlabel('Time [h]')
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ax[3].set_xlabel('Time [h]')
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plt.show()
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plt.show()
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embed()
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# plot chirps
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# plot chirps
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