def static():
"""Create static images for the HTML documentation and the base README.md.
"""
import matplotlib.pyplot as plt
from modelicares import SimRes, LinResList, read_params
join = os.path.join
# Options
indir = "../examples" # Directory with the mat files.
outdir = "_static" # Directory where the images should be generated
dpi = 90 # DPI for the HTML index images
dpi_small = 30 # DPI for the README images
kwargs = dict(bbox_inches='tight', format='png') # Other savefig() options
# ThreeTanks
# ----------
sim = SimRes(join(indir, 'ThreeTanks.mat'))
sim.sankey(title=("Sankey diagrams of "
"Modelica.Fluid.Examples.Tanks.ThreeTanks"),
times=[0, 50, 100, 150], n_rows=2, format='%.1f ',
names=['tank1.ports[1].m_flow', 'tank2.ports[1].m_flow',
'tank3.ports[1].m_flow'],
labels=['Tank 1', 'Tank 2', 'Tank 3'],
orientations=[-1, 0, 1],
scale=0.1, margin=6, offset=1.5,
pathlengths=2, trunklength=10)
plt.savefig(join(outdir, 'ThreeTanks.png'), dpi=dpi, **kwargs)
plt.savefig(join(outdir, 'ThreeTanks-small.png'), dpi=dpi_small, **kwargs)
plt.close()
# ChuaCircuit
# -----------
sim = SimRes(join(indir, 'ChuaCircuit.mat'))
ax = sim.plot(ynames1='L.v', ylabel1="Voltage",
xname='L.i', xlabel="Current",
title=("Modelica.Electrical.Analog.Examples.ChuaCircuit\n"
"Current through and voltage across the inductor"))[0]
# Mark the start and stop points.
def mark(time, text):
"""Mark a frequency point.
"""
i = sim['L.i'].values(time)
v = sim['L.v'].values(time)
plt.plot(i, v, 'bo')
ax.annotate(text, xy=(i, v), xytext=(0, -4), ha='center', va='top',
textcoords='offset points')
mark(0, "Start")
mark(2500, "Stop")
# Save and close.
plt.savefig(join(outdir, 'ChuaCircuit.png'), dpi=dpi, **kwargs)
plt.savefig(join(outdir, 'ChuaCircuit-small.png'), dpi=dpi_small, **kwargs)
plt.close()
# PIDs-bode
# ---------
lins = LinResList(join(indir, 'PID.mat'), join(indir, 'PID/*/'))
for lin in lins:
lin.label = "Td = %g s" % read_params('Td', join(lin.dirname,
'dsin.txt'))
lins.sort(key=lambda lin: lin.label)
lins.bode(title=("Bode plot of Modelica.Blocks.Continuous.PID\n"
"with varying differential time constant"))
plt.savefig(join(outdir, 'PIDs-bode.png'), dpi=dpi, **kwargs)
plt.savefig(join(outdir, 'PIDs-bode-small.png'), dpi=dpi_small, **kwargs)
plt.close()
def static():
"""Create static images for the HTML documentation and the base README.md.
"""
import matplotlib.pyplot as plt
from modelicares import SimRes, LinResList, read_params
join = os.path.join
# Options
indir = "../examples" # Directory with the mat files.
outdir = "_static" # Directory where the images should be generated
dpi = 90 # DPI for the HTML index images
dpi_small = 30 # DPI for the README images
kwargs = dict(bbox_inches='tight', format='png') # Other savefig() options
# ThreeTanks
# ----------
sim = SimRes(join(indir, 'ThreeTanks.mat'))
sim.sankey(title=("Sankey diagrams of "
"Modelica.Fluid.Examples.Tanks.ThreeTanks"),
times=[0, 50, 100, 150],
n_rows=2,
format='%.1f ',
names=[
'tank1.ports[1].m_flow', 'tank2.ports[1].m_flow',
'tank3.ports[1].m_flow'
],
labels=['Tank 1', 'Tank 2', 'Tank 3'],
orientations=[-1, 0, 1],
scale=0.1,
margin=6,
offset=1.5,
pathlengths=2,
trunklength=10)
plt.savefig(join(outdir, 'ThreeTanks.png'), dpi=dpi, **kwargs)
plt.savefig(join(outdir, 'ThreeTanks-small.png'), dpi=dpi_small, **kwargs)
plt.close()
# ChuaCircuit
# -----------
sim = SimRes(join(indir, 'ChuaCircuit.mat'))
ax = sim.plot(ynames1='L.v',
ylabel1="Voltage",
xname='L.i',
xlabel="Current",
title=("Modelica.Electrical.Analog.Examples.ChuaCircuit\n"
"Current through and voltage across the inductor"))[0]
# Mark the start and stop points.
def mark(time, text):
"""Mark a frequency point.
"""
i = sim['L.i'].values(time)
v = sim['L.v'].values(time)
plt.plot(i, v, 'bo')
ax.annotate(text,
xy=(i, v),
xytext=(0, -4),
ha='center',
va='top',
textcoords='offset points')
mark(0, "Start")
mark(2500, "Stop")
# Save and close.
plt.savefig(join(outdir, 'ChuaCircuit.png'), dpi=dpi, **kwargs)
plt.savefig(join(outdir, 'ChuaCircuit-small.png'), dpi=dpi_small, **kwargs)
plt.close()
# PIDs-bode
# ---------
lins = LinResList(join(indir, 'PID.mat'), join(indir, 'PID/*/'))
for lin in lins:
lin.label = "Td = %g s" % read_params('Td',
join(lin.dirname, 'dsin.txt'))
lins.sort(key=lambda lin: lin.label)
lins.bode(title=("Bode plot of Modelica.Blocks.Continuous.PID\n"
"with varying differential time constant"))
plt.savefig(join(outdir, 'PIDs-bode.png'), dpi=dpi, **kwargs)
plt.savefig(join(outdir, 'PIDs-bode-small.png'), dpi=dpi_small, **kwargs)
plt.close()
#!/usr/bin/pythont
"""Example of LinResList.nyquist()
"""
# pylint: disable=I0011, C0103, W0301
from os.path import join
from modelicares import LinResList, read_params
lins = LinResList("PID.mat", "PID/*/")
# Parameter settings aren't recorded in the files, so we'll load the
# differential time constants from the corresponding dsin.txt files.
for lin in lins:
lin.label = "Td = %g s" % read_params("Td", join(lin.dirname, "dsin.txt"))
# and sort the results by that information:
lins.sort(key=lambda lin: lin.label)
# and finally plot:
lins.nyquist(
title=("Nyquist plot of Modelica.Blocks.Continuous.PID\n" "with varying differential time constant"),
freqs=(0.1, 100),
)
#!/usr/bin/pythont
"""Example of LinResList.nyquist()
"""
# pylint: disable=I0011, C0103, W0301
from os.path import join
from modelicares import LinResList, read_params
lins = LinResList('PID.mat', 'PID/*/')
# Parameter settings aren't recorded in the files, so we'll load the
# differential time constants from the corresponding dsin.txt files.
for lin in lins:
lin.label = "Td = %g s" % read_params('Td', join(lin.dirname, 'dsin.txt'))
# and sort the results by that information:
lins.sort(key=lambda lin: lin.label)
# and finally plot:
lins.nyquist(title=("Nyquist plot of Modelica.Blocks.Continuous.PID\n"
"with varying differential time constant"),
freqs=(0.1, 100))
#!/usr/bin/python
"""Example of LinResList.bode()
"""
# pylint: disable=I0011, C0103, R0801
from os.path import join
from modelicares import LinResList, read_params
lins = LinResList('PID.mat', 'PID/*/')
# Parameter settings aren't recorded in the files, so we'll load the
# differential time constants from the corresponding dsin.txt files.
for lin in lins:
lin.label = "Td = %g s" % read_params('Td', join(lin.dirname, 'dsin.txt'))
# and sort the results by that information:
lins.sort(key=lambda lin: lin.label)
# and finally plot:
lins.bode(title=("Bode plot of Modelica.Blocks.Continuous.PID\n"
"with varying differential time constant"))