63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
from read_chirp_data import *
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from func_chirp import *
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from utility import *
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import matplotlib.pyplot as plt
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import numpy as np
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from IPython import embed
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data_dir = "../data"
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dataset = "2018-11-13-ah-invivo-1"
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data = ["2018-11-09-ad-invivo-1", "2018-11-09-ae-invivo-1", "2018-11-09-ag-invivo-1", "2018-11-13-aa-invivo-1", "2018-11-13-ac-invivo-1", "2018-11-13-ad-invivo-1", "2018-11-13-ah-invivo-1", "2018-11-13-ai-invivo-1", "2018-11-13-aj-invivo-1", "2018-11-13-ak-invivo-1", "2018-11-13-al-invivo-1", "2018-11-14-aa-invivo-1", "2018-11-14-ac-invivo-1", "2018-11-14-ad-invivo-1", "2018-11-14-af-invivo-1", "2018-11-14-ag-invivo-1", "2018-11-14-ah-invivo-1", "2018-11-14-ai-invivo-1", "2018-11-14-ak-invivo-1", "2018-11-14-al-invivo-1", "2018-11-14-am-invivo-1", "2018-11-14-an-invivo-1", "2018-11-20-aa-invivo-1", "2018-11-20-ab-invivo-1", "2018-11-20-ac-invivo-1", "2018-11-20-ad-invivo-1", "2018-11-20-ae-invivo-1", "2018-11-20-af-invivo-1", "2018-11-20-ag-invivo-1", "2018-11-20-ah-invivo-1", "2018-11-20-ai-invivo-1"]
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#for dataset in data:
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eod = read_chirp_eod(os.path.join(data_dir, dataset))
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times = read_chirp_times(os.path.join(data_dir, dataset))
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df_map = map_keys(eod)
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sort_df = sorted(df_map.keys())
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eods = chirp_eod_plot(df_map, eod, times)
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plt.show()
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plt.close('all')
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chirp_mods = {}
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beat_mods = []
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for i in sort_df:
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chirp_mods[i] = []
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freq = list(df_map[i])
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ls_mod, beat_mod = cut_chirps(freq, eod, times)
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chirp_mods[i].append(ls_mod)
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beat_mods.append(beat_mod)
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#Chirps einer Phase zuordnen - zusammen plotten
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chirp_spikes = read_chirp_spikes(os.path.join(data_dir, dataset))
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df_map = map_keys(chirp_spikes)
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sort_df = sorted(df_map.keys())
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dct_phase = plot_std_chirp(sort_df, df_map, chirp_spikes, chirp_mods)
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plt.show()
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plt.close('all')
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'''
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#Vatriablen speichern, die man für die Übersicht aller Zellen braucht
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name = str(dataset.replace('-invivo-1', ''))
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print('saving ../results/Chirpcut/Cc_' + name + '.dat')
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f = open('../results/Chirpcut/Cc_' + name + '.dat' , 'w')
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f.write(str(sort_df))
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f.write(str(df_map))
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f.write(str(chirp_spikes))
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f.write(str(eod))
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f.write(str(times))
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#f.write(str(chirp_mods))
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#f.write(str(beat_mods))
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f.close()
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'''
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