Location: Computational analysis of the human sinus node action potential @ 57608f38fb30 / Figure3.py

Author:
nima <nafs080@aucklanduni.ac.nz>
Date:
2021-06-19 09:20:54+12:00
Desc:
New implementation for the python codes (having 1 script instead of 2)
Permanent Source URI:
https://staging.physiomeproject.org/workspace/648/rawfile/57608f38fb30c8b276408878e179457dc3133bfc/Figure3.py

# To reproduce the data needed for Figure 3 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 Figure3.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()