- Author:
- WeiweiAi <wai484@aucklanduni.ac.nz>
- Date:
- 2022-03-08 17:23:21+13:00
- Desc:
- channelX connected with Se;
The sum of initial values of channel states should be the number of the channels;
Modify the scripts to save csv files for documentation;
Change matrix.xlsx to csv
- Permanent Source URI:
- https://staging.physiomeproject.org/workspace/64f/rawfile/c389283415195575fb6b1c4ac699501404cde971/sed-ml/anodeIV_plot.py
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# The prefix of the saved output file name
prefilename = 'simFig22_(30)mV'
# Figure name
prefig = 'anode_IV'
figfile = '%s.png' % prefig
# Set figure dimension (width, height) in inches.
fw, fh = 7, 6
fig = plt.figure(figsize=(fw,fh))
# Set subplots
subpRow, subpCol = 1, 1
ax, lns = {}, {}
lfontsize, labelfontsize = 12, 12 # 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
plotindex = [1]
x_name = 'outputs/minus_V'
y_names =['outputs/Ii']
y_labels =['$I_i(\mu A/cm^2)$']
filename ='%s.csv' % (prefilename)
data = pd.read_csv(filename)
for i, y_name in enumerate(y_names):
x_data = data[x_name]
y_data = data[y_name]
ax[i] = fig.add_subplot(subpRow, subpCol, plotindex[i])
ax[i].plot(x_data, y_data, color=cycle[0])
ax[i].tick_params(direction='in', axis='both')
ax[i].set_ylabel (y_labels[i], fontsize= labelfontsize)
ax[i].grid(linestyle='-.')
ax[i].set_xlabel ('-V (mV)', fontsize= labelfontsize)
plt.savefig(figfile)
plt.show()
