P-unit_model/cell_overview.py
2020-07-04 11:28:33 +02:00

117 lines
4.0 KiB
Python

from CellData import icelldata_of_dir
from Baseline import BaselineCellData
from FiCurve import FICurveCellData
import os
def main():
# plot_visualizations("cells/")
full_overview("cells/master_table.csv", "cells/")
def move_rejected_cell_data():
count = 0
jump_to = 0
negative_contrast_rel = 0
cell_list = []
for d in icelldata_of_dir("invivo_data/"):
count += 1
if count < jump_to:
continue
print(d.get_data_path())
base = BaselineCellData(d)
base.load_values(d.get_data_path())
ficurve = FICurveCellData(d, d.get_fi_contrasts(), d.get_data_path())
if ficurve.get_f_inf_slope() < 0:
negative_contrast_rel += 1
print("negative f_inf slope")
cell_list.append(os.path.abspath(d.get_data_path()))
for c in cell_list:
if os.path.exists(c):
print("Source: ", c)
destination = os.path.abspath("rejected_cells/negative_slope_f_inf/" + os.path.basename(c))
print("destination: ", destination)
print()
os.rename(c, destination)
print("Number: " + str(negative_contrast_rel))
def plot_visualizations(folder_path):
for cell_data in icelldata_of_dir("invivo_data/"):
name = os.path.split(cell_data.get_data_path())[-1]
print(name)
save_path = folder_path + name + "/"
if not os.path.exists(save_path):
os.mkdir(save_path)
baseline = BaselineCellData(cell_data)
baseline.plot_baseline(save_path)
baseline.plot_serial_correlation(10, save_path)
baseline.plot_polar_vector_strength(save_path)
baseline.plot_interspike_interval_histogram(save_path)
ficurve = FICurveCellData(cell_data, cell_data.get_fi_contrasts())
ficurve.plot_fi_curve(save_path)
def full_overview(save_path_table, folder_path):
with open(save_path_table, "w") as table:
table.write("Name, Path, Baseline Frequency Hz,Vector Strength, serial correlation lag=1,"
" serial correlation lag=2, burstiness, coefficient of variation,"
" fi-curve inf slope, fi-curve zero slope at straight, contrast at fi-curve zero straight\n")
# add contrasts, f-inf values, f_zero_values
count = 0
start = 0
for cell_data in icelldata_of_dir("invivo_data/"):
count += 1
if count < start:
continue
save_dir = cell_data.get_data_path()
name = os.path.split(cell_data.get_data_path())[-1]
line = name + ","
line += cell_data.get_data_path() + ","
baseline = BaselineCellData(cell_data)
if not baseline.load_values(save_dir):
baseline.save_values(save_dir)
line += "{:.1f},".format(baseline.get_baseline_frequency())
line += "{:.2f},".format(baseline.get_vector_strength())
sc = baseline.get_serial_correlation(2)
line += "{:.2f},".format(sc[0])
line += "{:.2f},".format(sc[1])
line += "{:.2f},".format(baseline.get_burstiness())
line += "{:.2f},".format(baseline.get_coefficient_of_variation())
ficurve = FICurveCellData(cell_data, cell_data.get_fi_contrasts(), save_dir)
line += "{:.2f},".format(ficurve.get_f_inf_slope())
line += "{:.2f}\n".format(ficurve.get_f_zero_fit_slope_at_straight())
line += "{:.2f}\n".format(ficurve.f_zero_fit[3])
table.write(line)
name = os.path.split(cell_data.get_data_path())[-1]
print(name)
save_path = folder_path + name + "/"
if not os.path.exists(save_path):
os.mkdir(save_path)
baseline.plot_baseline(save_path)
baseline.plot_serial_correlation(10, save_path)
baseline.plot_polar_vector_strength(save_path)
baseline.plot_interspike_interval_histogram(save_path)
ficurve.plot_fi_curve(save_path)
if __name__ == '__main__':
main()