Location: Computational analysis of the human sinus node action potential @ e9d34ff5bdf5 / Figure3.py

Author:
nima <nafs080@aucklanduni.ac.nz>
Date:
2021-06-09 23:08:04+12:00
Desc:
files are renamed
Permanent Source URI:
https://staging.physiomeproject.org/workspace/648/rawfile/e9d34ff5bdf59d465a69f98abb75938e8e885bd7/Figure3.py

# To reproduce the data needed for Figure 4 in associated Physiome paper,
# execute this script in the Python console in OpenCOR. This can be done
# with the following commands at the prompt in the OpenCOR Python console:
#
#     In [1]: cd path/to/folder_this_file_is_in
#     In [2]: %run Figure03.py
#

import opencor as opencor
# import numpy as np

# load the reference model
simulation = opencor.open_simulation("HumanSAN_Fabbri_Fantini_Wilders_Severi_2017.sedml")
data = simulation.data()
data.set_ending_point(4.8)
data.set_point_interval(0.001)

import opencor as opencor


simulation.reset(True)


simulation.run()


# cache the reference results
ds = simulation.results().data_store()
variables = ds.voi_and_variables()
outfile = open("Fig03.csv", 'w')
cols = []
for key, item in variables.items():
    outfile.write(key + ",")
    cols.append(list(item.values()))

outfile.write("\n")

for i in range(0, len(cols[0])):
    for j in range(0, len(cols)):
        outfile.write(str(cols[j][i]) + ",")
    outfile.write("\n")
outfile.close()