- Author:
- WeiweiAi <wai484@aucklanduni.ac.nz>
- Date:
- 2021-06-21 15:32:15+12:00
- Desc:
- Correct the figure numbers in the doc and typos;
Change the default temerature back to 310K for Periodic_stimulation.
- Permanent Source URI:
- https://models.physiomeproject.org/workspace/692/rawfile/209ecb42181f3204db0c1119bff2279b6a9b50e0/Simulation/Fig6_plot.py
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# The prefix of the saved output file name
filename = 'simFig6'
# Figure name
prefig = 'Fig6'
figfile = 'sim%s' % prefig
# Set figure dimension (width, height) in inches.
fw, fh = 6, 6
fig = plt.figure(figsize=(fw,fh))
# Set subplots
subpRow, subpCol = 1, 1
ax, lns = {}, {}
# This gives list with the colors from the cycle, which you can use to iterate over.
cycle = plt.rcParams['axes.prop_cycle'].by_key()['color']
# Set subplots
lfontsize, labelfontsize = 12, 12 # legend, label fontsize
# Read data from the files
x_name = 'V'
y_name = ['INa']
current= r'$I_{Na}$'
y_labels = ['Normalized Current %s' % current]
Nai=[10.5731241425458, 50]
T=297
for i, varName in enumerate(y_name):
ax[i] = fig.add_subplot(subpRow, subpCol, i+1)
n=0
ifilename = '%s_%d.csv' % (filename,n)
data = pd.read_csv(ifilename)
x_data = data[x_name]
y_data = data[varName]
ny_data=y_data/max(abs(y_data))
ax[i].plot(x_data, ny_data, color=cycle[n+1], label = 'CellML@$Na_i$=%.2f mM, T=%dK' % (Nai[n],T))
n=n+1
ifilename = '%s_%d.csv' % (filename,n)
data = pd.read_csv(ifilename)
x_data = data[x_name]
y_data = data[varName]
ny_data=y_data/max(abs(y_data))
ax[i].plot(x_data, ny_data, color=cycle[n+1], label = 'CellML@$Na_i$=%.2f mM, T=%dK' % (Nai[n],T))
ofilename ='fig6.csv'
odata = pd.read_csv(ofilename)
ox_data = odata['x']
oy_data = odata['Curve1']
ax[i].plot(ox_data, oy_data, '.', color=cycle[0], label = 'Poh_et_al_hJSMC')
plt.tick_params(direction='in', axis='both')
ax[i].legend(loc = 'best', fontsize=lfontsize, frameon=False)
ax[i].set_xlabel ('Voltage (mV)', fontsize= labelfontsize)
ax[i].set_ylabel (y_labels[i], fontsize= labelfontsize)
ax[i].set_title('%s in the paper' % (prefig))
figfiles = '%s.png' % (figfile)
plt.savefig(figfiles)
plt.show()
