Roughed out cadence results plotting code.
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4 changed files with 231 additions and 2 deletions
2
.gitignore
vendored
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.gitignore
vendored
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@ -1,6 +1,6 @@
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# Figures directory
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figures*
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fromMat
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from*
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# Byte-compiled / optimized / DLL files
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__pycache__/
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92
cadenceResults.py
Executable file
92
cadenceResults.py
Executable file
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#!/usr/bin/env python3
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import os
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import argparse
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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('--headless','-q', action='store_true',
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help='Remain neadless even if we aren\'t saving files.')
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args = args_parser.parse_args()
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################################################################################
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if args.raster:
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args.save = True
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fig_ext = 'png'
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else:
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fig_ext = 'pdf'
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################################################################################
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HEADLESS = not 'DISPLAY' in os.environ.keys()
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if args.headless: HEADLESS = True # Override Manually if request
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if HEADLESS: matplotlib.use('Agg')
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from matplotlib import rcParams, pyplot as pp
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from collections import namedtuple
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import LPRDefaultPlotting
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################################################################################
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# Override the defaults for this script
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figScaleSize = 1.0 if args.save else 1.6
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rcParams['figure.figsize'] = [3.4*figScaleSize,3*figScaleSize]
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default_window_position=['+20+80', '+120+80']
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################################################################################
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search_curves = (
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['2018-05-21',3.19],
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['2018-05-25',3.13]
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)
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currentBiasTable = np.load('fromCadence/current_bias.npy')
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bias_t_mV = currentBiasTable[0,:]*1e3
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bias_t_mA = currentBiasTable[1,:]*1e3
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bufferPerformanceTable = np.load('fromCadence/buffer_arrays.npz')
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[buffer_bias,buffer_freq,buffer_gain,buffer_phase] = \
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[item[1] for item in bufferPerformanceTable.iteritems()]
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for curve in search_curves:
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ind = np.argmin(np.abs(bias_t_mA-curve[1]))
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curve.append(ind)
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curve.append(bias_t_mV[ind]*1e-3)
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h=[pp.figure() for x in range(2)]
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ax=[hT.subplots(1,1) for hT in h]
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ax.append(ax[1].twinx())
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ax[0].set_xlabel('Gate Bias (mV)')
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ax[0].set_ylabel('Current (mA)')
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ax[0].plot(bias_t_mV, bias_t_mA)
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ax[1].set_xlabel('Frequency (GHz)')
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ax[1].set_ylabel('Gain (dB)')
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ax[2].set_ylabel('Phase (deg)')
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inds = [curve[2] for curve in search_curves]
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bw = 28
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freq_synthetic = np.linspace(-bw/2,bw/2,201)+28
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print(search_curves)
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for ind in inds:
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GP=np.polyfit(buffer_freq, buffer_gain[:,ind], 2)
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PP=np.polyfit(buffer_freq, buffer_phase[:,ind], 2)
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#print(" %.2fe-3 x^2 + %.2fe-3 x + %.2fe-3 " % tuple(1e3*P))
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print(ind)
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print(GP)
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print(PP)
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ax[1].plot(freq_synthetic, np.polyval(GP,freq_synthetic))
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ax[2].plot(freq_synthetic, np.polyval(PP,freq_synthetic))
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ax[1].plot(buffer_freq, buffer_gain[:,inds])
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ax[2].plot(buffer_freq, buffer_phase[:,inds])
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[aT.grid() for aT in ax]
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[hT.tight_layout() for hT in h]
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[hT.show() for hT in h]
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129
parsePy.py
Normal file
129
parsePy.py
Normal file
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#!/usr/bin/env python3
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import os
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import argparse
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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('--headless','-q', action='store_true',
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help='Remain neadless even if we aren\'t saving files.')
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args = args_parser.parse_args()
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################################################################################
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if args.raster:
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args.save = True
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fig_ext = 'png'
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else:
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fig_ext = 'pdf'
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################################################################################
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HEADLESS = not 'DISPLAY' in os.environ.keys()
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if args.headless: HEADLESS = True # Override Manually if request
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if HEADLESS: matplotlib.use('Agg')
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from matplotlib import rcParams, pyplot as pp
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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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################################################################################
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# Override the defaults for this script
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figScaleSize = 1.0 if args.save else 1.6
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rcParams['figure.figsize'] = [3.4*figScaleSize,3*figScaleSize]
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default_window_position=['+20+80', '+120+80']
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################################################################################
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SRC_DATA_NAMES = [\
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'Data_2018-05-15-clean',
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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_NAME = SRC_DATA_NAMES[SRC_DATA_INDEX]
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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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FILE_PAT = '%s-trunk2.s2p';
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figdir = 'figures-measured'
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class MeasurementConfig(namedtuple('config', ['r','c','inv','bias'])):
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__slots__ = ()
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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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def dB20(x):
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return 20*np.log10(np.abs(x))
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def ang_deg(x):
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return 180/np.pi*np.angle(x)
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def ang(x):
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return np.angle(x)
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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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# 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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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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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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pt = MeasurementConfig(r=tmp[0], c=tmp[1], inv=tmp[2], bias=np.float(tmp[3]))
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s2p_file = rf.Network(SRC_DATA_LOC + (FILE_PAT % pt.fn_str) )
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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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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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h=pp.figure()
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ax=h.add_subplot(1,1,1, projection='polar')
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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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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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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 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 HEADLESS:
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pp.close()
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else:
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h.show()
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break
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10
tankPlot.py
10
tankPlot.py
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@ -266,7 +266,7 @@ if 4 in plot_list or 14 in plot_list:
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[hT.show() for hT in h4]
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if 5 in plot_list:
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h5 = [pp.figure(figsize=(3.4,3.4)) for x in range(2)]
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h5 = [pp.figure(figsize=(3.4,3)) for x in range(2)]
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ax5 = []
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ax5.append(h5[0].add_subplot(1,1,1, projection='smith'))
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ax5.append(h5[1].add_subplot(1,1,1, projection='polar'))
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@ -277,9 +277,17 @@ if 5 in plot_list:
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ax5[0].set_title('Tank Impedance')
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ax5[1].set_title('Transfer Function')
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# Adjust placement of smith plot
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old_pos = ax5[0].title.get_position()
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ax5[0].title.set_position((old_pos[0], 1.06))
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p = ax5[0].get_position()
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p.set_points([[0, 0.07],[1, 0.86]])
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ax5[0].set_position(p)
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old_pos = ax5[1].title.get_position()
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ax5[1].title.set_position((old_pos[0], 1.1))
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h5[1].tight_layout()
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#[hT.tight_layout() for hT in h5]
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if args.save:
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h5[0].savefig('%s/%s.%s' % (figdir,
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