def Execute(self, namespace, figfolder='figs',\
def_ext='.png', dpi=100, **kwargs):
if not os.path.exists(figfolder):
os.mkdir(figfolder)
python_report_env.Execute(self, namespace=namespace, **kwargs)
keys = ['caption','filename','label']
mypat = '^#('+'|'.join(keys)+')'
comments = [item for item in self.list if item.find('#')==0]
if comments[0].find('#pyfig') == 0:
comments.pop(0)
com_list = txt_mixin.txt_list(comments)
start_inds = com_list.findallre(mypat)
end_inds = start_inds[1:]+[None]
pat2 = '^#('+'|'.join(keys)+')'+':(.*)'
p2 = re.compile(pat2)
keysfound = []
for si, ei in zip(start_inds, end_inds):
chunk = ''.join(com_list[si:ei])
q2 = p2.match(chunk)
if q2:
key = q2.group(1)
body = q2.group(2)
body = body.replace('#',' ')
setattr(self, key, body)
keysfound.append(key)
assert 'filename' in keysfound, "#filename: was not found in " + \
self.code +'\n'*2+ \
'NOTE: it must be in the beginning comments.'
fno, ext = os.path.splitext(self.filename)
if not ext:
ext = def_ext
self.nameout = fno+ext
self.pathout = os.path.join(figfolder, self.nameout)
PU.mysave(self.pathout, dpi=dpi)
def _save_figs(filenames, startfi=1, del_eps=True):
fis = range(startfi, startfi+NF)
for fi, fname in zip(fis, filenames):
epsname = fname+'.eps'
outpath = os.path.join(figdir, epsname)
PU.mysave(outpath, fi=fi)
if del_eps:
os.remove(outpath)#delete eps but leave pdf
def Save(self, pathout=None, fignum=None, ext='.eps'):
if fignum is None:
fignum = self.fignum
if pathout is None:
pathout = self._find_filename(ext=ext)
else:
self.pathout = pathout
pylab_util.mysave(pathout, fignum)
def save_figs(self, basename, startfi=1, del_eps=True):
endings = ['th_v_bode','a_v_bode','a_th_bode']
filenames = [basename +'_'+item for item in endings]
fis = range(startfi, startfi+NF)
for fi, fname in zip(fis, filenames):
epsname = fname+'.eps'
outpath = os.path.join(figdir, epsname)
PU.mysave(outpath, fi=fi)
if del_eps:
os.remove(outpath)#delete eps but leave pdf
from pylab import *
from scipy import *
import pylab_util as PU
figure(1)
xticks(arange(0,1.1,0.2))
grid(1)
yticks(arange(-10,10.5,1), \
['-10','','-8','','-6','','-4','','-2','','0', \
'','2','','4','','6','','8','','10'])
ylabel('$\\theta$ (counts)')
xlabel('Time (sec)')
PU.mysave('blank_encoder_graph.eps',1)
show()
myfile = txt_data_processing.Data_File('swept_sine_kp_1_amp_50.txt')
#myfile.bode_plot('v','theta',seedfreq=2.45, seedphase=-200.0, label='exp')
#myfile.bode_plot('v','a',fignum=2, seedfreq=10.0, seedphase=-150.0, label='exp')
myfile.bode_plot(*args1, **kwargs1)
myfile.bode_plot(*args2, **kwargs2)
kwargs1['clear'] = False
kwargs2['clear'] = False
myfile2 = txt_data_processing.Data_File('with_accel_01_28_14_test_1.txt')
kwargs1['label'] = 'with accel'
kwargs2['label'] = 'with accel'
args2b = ('v','accel')
myfile2.bode_plot(*args1, **kwargs1)
myfile2.bode_plot(*args2b, **kwargs2)
myfile3 = txt_data_processing.Data_File('without_accel_01_28_14_test_2.txt')
kwargs1['label'] = 'no accel'
myfile3.bode_plot(*args1, **kwargs1)
import pylab_util as PU
PU.SetLegend(1, loc=3, axis=0)
PU.SetPhaseLim(1,[-260,180])
PU.SetFreqLim(1,[0.1,50])
PU.SetMagLim(1,[-50,30])
PU.mysave('with_and_without_accel_attached.png', fi=1)
show()
## # case 14
case = 14
A_list = [0.1, 0.3, 0.5, 0.7, 0.8]
B_list = [0.2, 0.4, 0.6, 0.9]
A, B = create_case(A_list, B_list, 1, 0)
plot_case(A, B, fignum=case, bsty='--', linewidth=2.0)
ylim([-0.1, 1.3])
legend(['A', 'B'])
curname = outpat % case
fno, ext = os.path.splitext(curname)
pdfname = fno + '.pdf'
pdfpath = os.path.join(folder, pdfname)
outpath = os.path.join(folder, curname)
save_case(outpath, A, B)
pylab_util.mysave(pdfpath)
# case 15
## case = 17
## B_list = [0.1, 0.3, 0.5, 0.7]
## A_list = [0.4, 0.6, 0.8, 0.9]
## case = 18
## B_list = [0.1, 0.3, 0.5, 0.8]
## A_list = [0.2, 0.4, 0.6, 0.7]
## A, B = create_case(A_list, B_list, 0, 0)
## A_shift = A + 0.0075
## plot_case(A_shift, B, fignum=case, bsty='--', linewidth=2.0)
## grid(1)
## ylim([-0.1,1.3])
grid(1) myarray = arange(-1,1,0.2) #mylabels = ['']*5 + ['0'] + ['']*4 mylabels = ['']*5 + [''] + ['']*4 xticks(myarray, mylabels, color=(0,0,0), fontproperties=myprops) yticks(myarray, mylabels, color=(0,0,0), fontproperties=myprops) #myxlabel = '$x_1$' #myylabel = '$x_2$' myxlabel = '' myylabel = '' xlabel(myxlabel) ylabel(myylabel) filename = 'blank_phase_portrait.eps' outdir = '/home/ryan/nonlinear_controls_2011/midterm/' outpath = os.path.join(outdir, filename) pylab_util.mysave(outpath) fno, ext = os.path.splitext(filename) filename1 = fno + '.pdf' filename2 = 'cropped_blank_phase_portrait.pdf' curdir = os.getcwd() os.chdir(outdir) cmd = 'pdfcrop %s %s' % (filename1, filename2) os.system(cmd) os.chdir(curdir) show()
def my_save(note):
PU.mysave('theta_bode_%s.png' % note, 1)
PU.mysave('accel_bode_%s.png' % note, 2)
th_v_fit, a_v_fit, a_th_fit = mymodel(xf_fit, f2, actvect=actvect)
rwkbode.GenBodePlot(1, f2, th_v_fit, clear=False, linetype='r-')
rwkbode.GenBodePlot(2, f2, a_v_fit, clear=False, linetype='r-')
rwkbode.GenBodePlot(3, f2, a_th_fit, clear=False, linetype='r-')
t5 = time.time()
pylab_util.SetPhaseLim(1, [-300,0])
pylab_util.SetFreqLim(1, freqlim)
pylab_util.SetMagLim(1, [-50, 20])
resave = 0
if resave:
pylab_util.mysave('theta_vs_v_bode.png', 1)
pylab_util.SetPhaseLim(2, [-450,100])
pylab_util.SetFreqLim(2, freqlim)
pylab_util.SetMagLim(2, [-20, 30])
if resave:
pylab_util.mysave('accel_vs_v_bode.png', 2)
pylab_util.SetPhaseLim(3, [-250,250])
pylab_util.SetFreqLim(3, freqlim)
pylab_util.SetMagLim(3, [-20, 50])
t6 = time.time()
def my_save():
PU.mysave("theta_bode.png", 1)
PU.mysave("accel_bode.png", 2)
grid(1) myarray = arange(-1, 1, 0.2) #mylabels = ['']*5 + ['0'] + ['']*4 mylabels = [''] * 5 + [''] + [''] * 4 xticks(myarray, mylabels, color=(0, 0, 0), fontproperties=myprops) yticks(myarray, mylabels, color=(0, 0, 0), fontproperties=myprops) #myxlabel = '$x_1$' #myylabel = '$x_2$' myxlabel = '' myylabel = '' xlabel(myxlabel) ylabel(myylabel) filename = 'blank_phase_portrait.eps' outdir = '/home/ryan/nonlinear_controls_2011/midterm/' outpath = os.path.join(outdir, filename) pylab_util.mysave(outpath) fno, ext = os.path.splitext(filename) filename1 = fno + '.pdf' filename2 = 'cropped_blank_phase_portrait.pdf' curdir = os.getcwd() os.chdir(outdir) cmd = 'pdfcrop %s %s' % (filename1, filename2) os.system(cmd) os.chdir(curdir) show()
figure(2)
clf()
plot(freq, A1, linewidth=2)
plot(freq, A2,'--', linewidth=3)
xlabel('Freq. (Hz)')
ylabel('FFT Mag.')
title('real(fft)')
legend(['$A_1$','$A_2$'], loc='upper center')
figure(3)
clf()
plot(freq, B1, linewidth=2)
plot(freq, B2, '--', linewidth=3)
xlabel('Freq. (Hz)')
ylabel('FFT Mag.')
title('imag(fft)')
ylim([-0.1,1])
legend(['$B_1$','$B_2$'], loc='upper center')
if os.getlogin() == 'rkrauss':
import pylab_util as PU
PU.mysave('aliasing_example_cosine.eps',1)
PU.mysave('mirror_image_A_coeffs.eps',2)
PU.mysave('mirror_image_B_coeffs.eps',3)
show()
def mysave(filename, fi):
path = os.path.join(fig_dir, filename)
PU.mysave(path, fi)
## pdfname = fno + '.pdf'
## pdfpath = os.path.join(folder, pdfname)
## outpath = os.path.join(folder, curname)
## save_case(outpath, A, B)
## pylab_util.mysave(pdfpath)
# case 15
## case = 17
## B_list = [0.1, 0.3, 0.5, 0.7]
## A_list = [0.4, 0.6, 0.8, 0.9]
## case = 18
## B_list = [0.1, 0.3, 0.5, 0.8]
## A_list = [0.2, 0.4, 0.6, 0.7]
A, B = create_case(A_list, B_list, 0, 1)
A_shift = A + 0.0075
plot_case(A_shift, B, fignum=case, bsty='--', linewidth=2.0)
grid(1)
ylim([-0.1,1.3])
legend(['A','B'])
curname = outpat % case
fno, ext = os.path.splitext(curname)
pdfname = fno + '.pdf'
pdfpath = os.path.join(folder, pdfname)
outpath = os.path.join(folder, curname)
save_case(outpath, A, B)
pylab_util.mysave(pdfpath)
show()
def save_fig(self, suffix):
figpath = self.get_fig_path(suffix)
PU.mysave(figpath)
ax2.set_xlim(myfreqlims)
ax2.set_ylim([-360,0])
ax2.set_yticks(np.arange(-360,360,90))
bode_utils.mygrid(ax2)
ax2.xaxis.set_major_formatter(matplotlib.ticker.NullFormatter())
ax2.yaxis.set_major_formatter(matplotlib.ticker.NullFormatter())
#blank_x_labels(ax2)
#blank_y_labels(ax2)
#bode_utils.mygrid(ax2)
tight_layout()
import pylab_util as PU
PU.mysave('blank_Bode.eps')
#rcParams['figure.subplot.bottom'] = 0.18
## fig = figure(2, (8,5))
## fig.clf()
## ax = fig.add_subplot(111)
## ax.set_xscale('log')
## grid(1)
## ax.set_ylabel('dB Mag.\n\n')
## blank_x_labels(ax)
## blank_y_labels(ax)
## ax.set_xlabel('\n\n Freq. (Hz)')
#PU.mysave('blank_dB_mag.pdf')
ax.set_yticklabels(empty_labels)
blank_x_labels(ax1)
blank_y_labels(ax1)
ax2 = subplot(212)
ax2.set_xscale('log')
grid(1)
ax2.set_ylabel('Phase (deg.)\n\n')
ax2.set_xlabel('\n\n Freq. (Hz)')
blank_x_labels(ax2)
blank_y_labels(ax2)
import pylab_util as PU
PU.mysave('blank_Bode.eps')
rcParams['figure.subplot.bottom'] = 0.18
fig = figure(2, (8,5))
fig.clf()
ax = fig.add_subplot(111)
ax.set_xscale('log')
grid(1)
ax.set_ylabel('dB Mag.\n\n')
blank_x_labels(ax)
blank_y_labels(ax)
ax.set_xlabel('\n\n Freq. (Hz)')
PU.mysave('blank_dB_mag.pdf')
