- Author:
- Leyla <noroozbabaee@gmail.com>
- Date:
- 2021-10-11 15:38:03+13:00
- Desc:
- The final version of Du model ready for curation.
- Permanent Source URI:
- https://models.fieldml.org/workspace/761/rawfile/63fba2953bbedbdd15ce6559a39d5ccc0646c473/Simulations/Fig1_Plot.py
import pandas as pd
from sklearn import preprocessing
import numpy as np
import matplotlib.pyplot as plt
prefilename = 'Fig1_A'
filename = '%s.csv' % prefilename
data = pd.read_csv(filename)
time = data [ 'time' ]
vm = data [ 'v_m' ]
I_stim = data [ 'I_stim' ]
prefilename1 = 'Fig1_A_no_Istim'
filename1 = '%s.csv' % prefilename1
data0 = pd.read_csv(filename1)
vm_no_Istim = data0 [ 'v_m' ]
time = time / 1000
fig, axs = plt.subplots(2)
labelfontsize = 12
axs [ 0 ].plot(time, vm, '-.k', time, vm_no_Istim, 'k')
axs [ 1 ].plot(time, I_stim, 'k')
axs [ 0 ].set_ylabel('$V_{m}$ (mV)', fontsize=labelfontsize)
axs [ 1 ].set_ylabel('$I_{s} (\mu A)$', fontsize=labelfontsize)
axs [ 1 ].set_xlabel('Time (s)', fontsize=labelfontsize)
axs [ 0 ].axis([ 0, 90, -80, -30 ])
axs [ 1 ].axis([ 0, 90, 0, 20 ])
plt.show() #
# plt.savefig('Figure_1')
