Added support to plot measurement data
Added support to plot measurement results, as well as some updates to the default style.
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7 changed files with 176 additions and 30 deletions
161
parsePy.py
Normal file → Executable file
161
parsePy.py
Normal file → Executable file
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@ -5,16 +5,18 @@ import numpy as np
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import matplotlib
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################################################################################
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args_parser = argparse.ArgumentParser()
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args_parser.add_argument('-n', type=int, default=1,
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help='plot testing number')
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args_parser.add_argument('--save','-s', action='store_true',
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help='save to files')
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args_parser.add_argument('--raster','-r', action='store_true',
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help='save as raster')
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args_parser.add_argument('--debug','-d', action='store_true',
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help='hold for debugging')
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args_parser.add_argument('--polar','-p', action='store_true',
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help='do polar plotting (wide bandwidth)')
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args_parser.add_argument('--headless','-q', action='store_true',
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help='Remain neadless even if we aren\'t saving files.')
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args_parser.add_argument('-n', type=int, default=3,
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help='plot testing number')
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args = args_parser.parse_args()
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################################################################################
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@ -34,6 +36,8 @@ import skrf as rf
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from scipy.io import loadmat
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from collections import namedtuple
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import LPRDefaultPlotting
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import re
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import json
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################################################################################
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# Override the defaults for this script
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@ -48,12 +52,17 @@ SRC_DATA_NAMES = [\
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'Data_2018-05-16-clean',
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'Data_2018-05-21-clean',
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'Data_2018-05-25-clean']
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SRC_DATA_INDEX = 2
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SRC_DATA_INDEX = args.n-1
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SRC_DATA_NAME = SRC_DATA_NAMES[SRC_DATA_INDEX]
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#SRC_DATA_DATESTR = '-'.join(SRC_DATA_NAME.split('_')[1].split('-')[:-1])
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SRC_DATA_LOC = '/media/ramdisk/' + SRC_DATA_NAME + '/';
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SRC_DATA_SUMMARY = 'dat_clean/' + SRC_DATA_NAME + '_sum.json';
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SRC_DATA_SUMMARY = '/home/luke/Dropbox/Grad School/1801_PS/' \
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'2018-05_Testing/results_plot/dat_clean/' + SRC_DATA_NAME + '_sum.json';
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FILE_PAT = '%s-trunk2.s2p';
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if args.polar:
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FILE_PAT = '%s-trunk2.s2p';
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else:
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FILE_PAT = '%s-trunk.s2p';
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figdir = 'figures-measured'
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class MeasurementConfig(namedtuple('config', ['r','c','inv','bias'])):
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@ -61,7 +70,10 @@ class MeasurementConfig(namedtuple('config', ['r','c','inv','bias'])):
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@property
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def fn_str(self):
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return "C%02d_R%1d_I%1d_B%0.4f" % (self.c, self.r, self.inv, self.bias)
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Measurement = namedtuple('measurement', ['cfg','gain','phase','f','s21'])
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Measurement = namedtuple('measurement', ['cfg','gain','phase','f','s21', 'slope'])
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slopeBandwidthMax = 1
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slopeBandwidthFreq = 28+np.array([-1,1])*0.5*slopeBandwidthMax
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def dB20(x):
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return 20*np.log10(np.abs(x))
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@ -70,20 +82,64 @@ def ang_deg(x):
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def ang(x):
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return np.angle(x)
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BDE=namedtuple('BufferDeEmbed',['mstr','PolyGain','PolyPhase','PhiFix','test'])
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BDE_list=[]
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# 2018-05-15
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BDE_list.append(BDE(
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'2018-05-15',
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np.array([ 4.06488853e-03, -5.11527396e-01, 2.53053550e+01]),
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np.array([-1.62202706e-03, 6.94343608e-01, -1.80381551e+02]),
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-60,
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'S02bB_C+02dB_M0'
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))
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# 2018-05-16
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BDE_list.append(BDE(
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'2018-05-16',
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np.array([ 4.08875413e-03, -5.13017311e-01, 2.54047949e+01]),
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np.array([-1.29541398e-03, 6.74431785e-01, -1.80127388e+02]),
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-60,
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'S02bB_C+02dB_M0'
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))
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# 2018-05-21
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PolyGain=np.array( [ 4.08875413e-03, -5.13017311e-01, 2.54047949e+01])
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PolyPhase=np.array([-1.29541398e-03, 6.74431785e-01, -1.80127388e+02])
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#PolyGain=np.array( [ 4.08875413e-03, -5.13017311e-01, 2.54047949e+01])
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#PolyPhase=np.array([-1.29541398e-03, 6.74431785e-01, -1.80127388e+02])
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BDE_list.append(BDE(
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'2018-05-21',
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np.array([ 4.08875413e-03, -5.13017311e-01, 2.54047949e+01]),
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np.array([-1.29541398e-03, 6.74431785e-01, -1.80127388e+02]),
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-60,
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'S02bB_C+02dB_M0'
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))
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# 2018-05-25
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#PolyGain=np.array( [ 4.06488853e-03, -5.11527396e-01, 2.53053550e+01])
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#PolyPhase=np.array([-1.62202706e-03, 6.94343608e-01, -1.80381551e+02])
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BDE_list.append(BDE(
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'2018-05-25',
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np.array([ 4.06488853e-03, -5.11527396e-01, 2.53053550e+01]),
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np.array([-1.62202706e-03, 6.94343608e-01, -1.80381551e+02]),
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-70,
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'S02bB_C+06dB_M0'
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))
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source_directory='fromMat/%s_mat/' % SRC_DATA_NAME
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for BDEx in BDE_list:
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if re.search(BDEx.mstr, source_directory) != None:
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PolyGain=BDEx.PolyGain
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PolyPhase=BDEx.PolyPhase
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PhaseFixedRotationFactor=BDEx.PhiFix
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StopTestString=BDEx.test
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FamStr=BDEx.mstr
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break
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source_directory='fromMat/Data_2018-05-21-clean_mat/'
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source_data_list=['fromMat/Data_2018-05-21-clean_mat/S02bB_C+01dB_M0.mat']
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for filename in os.listdir(source_directory):
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filename=source_directory+filename
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group_filename_string = filename.split('/')[-1][:-4]
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src = loadmat(filename, struct_as_record=False)
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if not HEADLESS and group_filename_string != StopTestString:
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# skip until we hit some aribitrary targets
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continue
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collectedData=[]
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for sample in src['data'][0]:
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tmp = [sample.__getattribute__(key)[0,0] for key in ['r', 'c', 'inv', 'bias_dp_set']]
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@ -93,37 +149,96 @@ for filename in os.listdir(source_directory):
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freq = np.squeeze(s2p_file.f*1e-9)
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buffer_gain = np.polyval(PolyGain,freq)
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buffer_phase = np.polyval(PolyPhase,freq)
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buffer_phase = buffer_phase - np.mean(buffer_phase)
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sdat = np.squeeze(s2p_file.s21.s)
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buffer_phase = buffer_phase - np.mean(buffer_phase) + \
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PhaseFixedRotationFactor*np.pi/180
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buffer_sdat = np.power(10,buffer_gain/20)*np.exp(1j*buffer_phase)
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sdat = np.squeeze(s2p_file.s21.s)/buffer_sdat
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slope_valid_inds = np.where(np.all((freq >= slopeBandwidthFreq[0],
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freq <= slopeBandwidthFreq[1]),0))
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sub_angles = np.unwrap(np.angle(sdat[slope_valid_inds]))*180/np.pi
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sub_freq = freq[slope_valid_inds]-np.mean(freq[slope_valid_inds])
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slope = np.polyfit(sub_freq,sub_angles-np.mean(sub_angles),1)[0]
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index = np.squeeze(np.argwhere(freq==28))
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collectedData.append(Measurement(pt,
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dB20(sdat[index])-buffer_gain[index],
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ang_deg(sdat[index])-buffer_phase[index],
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freq, sdat))
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dB20(sdat[index]),
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ang_deg(sdat[index]),
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freq, sdat, slope))
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# Find the indicies close to 0 and 180 as my reference curves
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phis = np.array([s.phase for s in collectedData])
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best_slopes = np.argsort(np.abs(np.mod(phis+90,180)-90))[0:6]
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slope_list = np.array([s.slope for s in collectedData])
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slope_avg = np.mean(slope_list[best_slopes])
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h=pp.figure()
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ax=h.add_subplot(1,1,1, projection='polar')
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if args.polar:
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ax=h.add_subplot(1,1,1, projection='polar')
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else:
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h2=pp.figure()
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ax=h.subplots(2,1)
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ax = np.append(ax, h2.subplots(1,1))
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print("---------------------||------------------------------")
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print(" _C R I _Bias_ || Gain Phase ")
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print("---------------------||------------------------------")
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for imeas in collectedData:
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ax.plot(ang(imeas.s21)-buffer_phase, dB20(imeas.s21)-buffer_gain)
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if args.polar:
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#ax.plot(ang(imeas.s21)-buffer_phase, dB20(imeas.s21)-buffer_gain)
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ax.plot(ang(imeas.s21), dB20(imeas.s21))
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else:
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#ax[0].plot(imeas.f, dB20(imeas.s21)-buffer_gain)
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ax[0].plot(imeas.f, dB20(imeas.s21))
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#unwrapped_phase = 180/np.pi*np.unwrap(ang(imeas.s21)-buffer_phase)
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#ax[1].plot(imeas.f, unwrapped_phase)
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unwrapped_phase = 180/np.pi*np.unwrap(ang(imeas.s21))
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ax[1].plot(imeas.f, unwrapped_phase)
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slope_relative = (imeas.f-28)*slope_avg
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ax[2].plot(imeas.f, unwrapped_phase-slope_relative)
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print(" %2d %d %d %.4f || %+7.1f dB %+9.2f deg" % \
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(imeas.cfg.c, imeas.cfg.r, imeas.cfg.inv, imeas.cfg.bias, \
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imeas.gain, imeas.phase))
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print("---------------------||------------------------------")
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ax.set_ylim(-20,-6)
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ax.set_title('Measured Performance')
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if args.polar:
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ax.set_ylim(LPRDefaultPlotting.POLAR_YLIM_CONST)
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if args.polar:
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ax.set_title('Measured Performance')
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else:
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ax[0].set_title('Measured Performance')
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ax[0].set_ylabel('Gain (dB)');
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ax[1].set_ylabel('Phase (deg)');
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ax[2].set_ylabel('Phase (deg)');
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ax[2].set_title('Relative Phase')
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for aT in ax:
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aT.set_xlabel('Frequency (GHz)')
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aT.grid()
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#aT.set_xlim((np.min(imeas.f), np.max(imeas.f)))
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aT.set_xlim((28-1.0, 28+1.0))
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if args.polar:
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old_pos = ax.title.get_position()
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ax.title.set_position((old_pos[0], 1.1))
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old_pos = ax.title.get_position()
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ax.title.set_position((old_pos[0], 1.1))
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h.tight_layout()
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if not args.polar:
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h2.tight_layout()
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if args.save:
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h.savefig('%s/%s.%s' % (figdir,
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'PolarGain-%s' % group_filename_string, fig_ext))
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if args.polar:
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h.savefig('%s/PolarGain-%s-%s.%s' % (figdir, FamStr,
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group_filename_string, fig_ext))
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else:
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h.savefig('%s/StdPlots-%s-%s.%s' % (figdir, FamStr,
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group_filename_string, fig_ext))
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h2.savefig('%s/RelStdPlots-%s-%s.%s' % (figdir, FamStr,
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group_filename_string, fig_ext))
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if HEADLESS:
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if not args.polar:
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pp.close()
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pp.close()
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else:
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if not args.polar:
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h2.show()
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h.show()
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break
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