- Author:
- WeiweiAi <wai484@aucklanduni.ac.nz>
- Date:
- 2021-11-24 17:49:12+13:00
- Desc:
- Add BG params related scripts and matrix
- Permanent Source URI:
- http://models.cellml.org/workspace/64f/rawfile/bd02dedb491faf9960ccd23496c19ccd3e339db1/sed-ml/IstPositiveIV_plot.py
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# The prefix of the saved output file name
prefilename = 'Ist_20ms'
suf=['20',]
# Figure name
prefig = 'IstPositive_IV'
figfile = '%s.png' % 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 = {}, {}
lfontsize, labelfontsize = 10, 10 # legend, label fontsize
# 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']
# Read data from the files
x_name = 'outputs/minus_V'
y_name ='outputs/Ii'
y_name1 ='outputs/Istim'
y_labels =['$I_i(\mu A/cm^2)$']
ax = fig.add_subplot(subpRow, subpCol, 1)
rol=int(19*1000)
for i, suffix in enumerate(suf):
filename ='%s%smV.csv' % (prefilename,suffix)
data = pd.read_csv(filename)
x_data = data[x_name][0:rol]
y_data = data[y_name][0:rol]
y_data1 = data[y_name1][0:rol]
ax.plot(x_data, y_data, color=cycle[i],label='$I_{st}$=%s $\mu A/cm^2$, $I_i$' % (suffix))
ax.plot(x_data, y_data+y_data1, '-.', color=cycle[i], label='$I_{st}$=%s $\mu A/cm^2$, $I_i+I_{stim}$' % (suffix))
ax.tick_params(direction='in', axis='both')
ax.set_ylabel (y_labels[0], fontsize= labelfontsize)
ax.grid(linestyle='-.')
ax.set_xlabel ('-V (mV)', fontsize= labelfontsize)
ax.legend(loc = 'best', fontsize=lfontsize, frameon=False)
plt.savefig(figfile)
plt.show()
