# **************************************************************************
# *
# * Authors: J.M. De la Rosa Trevin (delarosatrevin@gmail.com)
# *
# * Unidad de Bioinformatica of Centro Nacional de Biotecnologia , CSIC
# *
# * This program is free software; you can redistribute it and/or modify
# * it under the terms of the GNU General Public License as published by
# * the Free Software Foundation; either version 2 of the License, or
# * (at your option) any later version.
# *
# * This program is distributed in the hope that it will be useful,
# * but WITHOUT ANY WARRANTY; without even the implied warranty of
# * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# * GNU General Public License for more details.
# *
# * You should have received a copy of the GNU General Public License
# * along with this program; if not, write to the Free Software
# * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
# * 02111-1307 USA
# *
# * All comments concerning this program package may be sent to the
# * e-mail address 'jmdelarosa@cnb.csic.es'
# *
# **************************************************************************
import numpy as np
from pyworkflow.viewer import Viewer, DESKTOP_TKINTER
from pwem.viewers.plotter import EmPlotter
from pkpd.protocols import ProtPKPDSimulateLiverFlow
[docs]class PKPDSimulateLiverFlowViewer(Viewer):
_targets = [ProtPKPDSimulateLiverFlow]
_environments = [DESKTOP_TKINTER]
[docs] def visualize(self, obj, **kwargs):
prot = obj
fnProfiles = prot._getPath("profiles.txt")
fh = open(fnProfiles,"r")
state = 0
legends = ['Iliver', 'Iinlet', 'Isys']
for line in fh:
if state==0:
tokens = line.split("::")
title = tokens[1].strip()
I3=[]
state=1
elif state==1:
tokens=line.strip().split()
if len(tokens)==0:
plotter = EmPlotter(style='seaborn-whitegrid')
ax = plotter.createSubPlot("Simulation", "t [h]", "[I] [mg/mL]")
t = np.asarray(I3[0],dtype=np.float64)/60
for n in range(1,len(I3)):
y = np.asarray(I3[n],dtype=np.float64)
ax.plot(t, y, label=legends[n-1])
ax.legend()
plotter.show()
state=0
else:
if len(I3)==0:
for n in range(len(tokens)):
I3.append([])
for n in range(len(tokens)):
I3[n].append(tokens[n])
fh.close()