- 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.fieldml.org/workspace/692/rawfile/209ecb42181f3204db0c1119bff2279b6a9b50e0/Simulation/Fig10_plot.py
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# The prefix of the saved output file name
prefilename = 'simFig10'
# Figure name
prefig = 'Fig10'
figfile = 'sim%s' % prefig
# Set figure dimension (width, height) in inches.
fw, fh = 8, 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 = 'Time'
y_name = ['Iion']
current= r'$I_{ion}$'
y_labels = ['Current %s' % current]
Vtest = range (-5, 25, 5)
suffix = ['h','g', 'f', 'e', 'd', 'c', 'b', 'a']
T=297
Cai=5.38843941249284e-5*1000000
Nai= 40
ax[0] = fig.add_subplot(subpRow, subpCol, 1)
for i, V in enumerate(Vtest):
filename='%s_%d.csv' % (prefilename,i)
data = pd.read_csv(filename)
x_data = data[x_name]-2000
y_data = data[y_name]
ax[0].plot(x_data, y_data, color=cycle[i%7], label = 'CellML@ %d mV, T=%dK' % (V,T))
if i < len(suffix):
ofilename ='fig10(-70)_%s.csv' % suffix[i]
odata = pd.read_csv(ofilename)
ox_data = odata['x']
oy_data = odata['Curve1']
ax[0].plot(ox_data, oy_data, '.', color=cycle[i], label = 'Poh_et_al_hJSMC')
plt.tick_params(direction='in', axis='both')
ax[0].legend(loc = 'best', fontsize=lfontsize, frameon=False)
ax[0].set_xlabel ('Time (ms)', fontsize= labelfontsize)
ax[0].set_ylabel (y_labels[0], fontsize= labelfontsize)
ax[0].set_title('%s in the paper @$Ca_i$=%.4f nM, $Na_i$=%.2f mM, T=%dK' % (prefig, Cai, Nai, T))
figfiles = '%s.png' % (figfile)
plt.savefig(figfiles)
plt.show()
