38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
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from Baseline import get_baseline_class
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from CellData import CellData, icelldata_of_dir
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from models.LIFACnoise import LifacNoiseModel
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from Baseline import BaselineCellData, BaselineModel
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from os import listdir
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import numpy as np
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from IPython import embed
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import pyrelacs.DataLoader as Dl
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from ModelFit import ModelFit, get_best_fit
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from FiCurve import FICurveModel, FICurveCellData
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import os
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import matplotlib.pyplot as plt
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import functions as fu
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from scipy.optimize import curve_fit
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from scipy.signal import find_peaks
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from thunderfish.eventdetection import threshold_crossing_times, threshold_crossings, detect_peaks
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import helperFunctions as hF
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import models.smallModels as sM
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from stimuli.SinusoidalStepStimulus import SinusoidalStepStimulus
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from matplotlib import gridspec
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# from plottools.axes import labelaxes_params
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directory = "data/final"
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count = 0
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for cell in sorted(os.listdir(directory)):
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cell_dir = os.path.join(directory, cell)
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if os.path.exists(cell_dir + "/samallspikes1.dat"):
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print(cell)
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count += 1
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print(count)
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