- Author:
- WeiweiAi <wai484@aucklanduni.ac.nz>
- Date:
- 2021-06-03 19:57:54+12:00
- Desc:
- Add python scripts for simulation
- Permanent Source URI:
- https://staging.physiomeproject.org/workspace/692/rawfile/d8f9669b7d1ee26109713d1ead38c648f264ef02/Simulation/Fig8_plot.py
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# The prefix of the saved output file name
filename = 'simFig8.csv'
# Figure name
prefig = 'Fig8'
figfile = 'original%s' % prefig
# Set figure dimension (width, height) in inches.
fw, fh = 6, 6
fig = plt.figure(figsize=(fw,fh))
# Set subplots
subpRow, subpCol = 2, 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
fsuffix = ['B', 'C']
x_name = 'time'
y_name = ['V', 'Cai']
y_labels = ['Voltage (mV)', '[Ca]$_i$ (nM)']
for i, varName in enumerate(y_name):
ax[i] = fig.add_subplot(subpRow, subpCol, i+1)
data = pd.read_csv(filename)
x_data = data[x_name]/1000
if i==1:
y_data = (data[varName])*10**6
else:
y_data = data[varName]
ax[i].plot(x_data, y_data, color=cycle[0], label = 'CellML model' )
ofilename ='fig8%s.csv' % fsuffix[i]
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 ('Time (s)', fontsize= labelfontsize)
ax[i].set_ylabel (y_labels[i], fontsize= labelfontsize)
figfiles = '%s.png' % (figfile)
plt.savefig(figfiles)
plt.show()
