Roughed out cadence results plotting code.

cadenceResults.py

@@ -0,0 +1,92 @@
+#!/usr/bin/env python3
+import os
+import argparse
+import numpy as np
+import matplotlib
+################################################################################
+args_parser = argparse.ArgumentParser()
+args_parser.add_argument('-n', type=int, default=1,
+	help='plot testing number')
+args_parser.add_argument('--save','-s', action='store_true',
+	help='save to files')
+args_parser.add_argument('--raster','-r', action='store_true',
+	help='save as raster')
+args_parser.add_argument('--debug','-d', action='store_true',
+	help='hold for debugging')
+args_parser.add_argument('--headless','-q', action='store_true',
+	help='Remain neadless even if we aren\'t saving files.')
+args = args_parser.parse_args()
+
+################################################################################
+if args.raster:
+	args.save = True
+	fig_ext = 'png'
+else:
+	fig_ext = 'pdf'
+
+################################################################################
+HEADLESS = not 'DISPLAY' in os.environ.keys()
+if args.headless: HEADLESS = True	# Override Manually if request
+if HEADLESS: matplotlib.use('Agg')
+
+from matplotlib import rcParams, pyplot as pp
+from collections import namedtuple
+import LPRDefaultPlotting
+################################################################################
+
+# Override the defaults for this script
+figScaleSize = 1.0 if args.save else 1.6
+rcParams['figure.figsize'] = [3.4*figScaleSize,3*figScaleSize]
+default_window_position=['+20+80', '+120+80']
+################################################################################
+
+search_curves = (
+	['2018-05-21',3.19],
+	['2018-05-25',3.13]
+	)
+
+currentBiasTable = np.load('fromCadence/current_bias.npy')
+bias_t_mV = currentBiasTable[0,:]*1e3
+bias_t_mA = currentBiasTable[1,:]*1e3
+
+bufferPerformanceTable = np.load('fromCadence/buffer_arrays.npz')
+[buffer_bias,buffer_freq,buffer_gain,buffer_phase] = \
+	[item[1] for item in bufferPerformanceTable.iteritems()]
+
+for curve in search_curves:
+	ind = np.argmin(np.abs(bias_t_mA-curve[1]))
+	curve.append(ind)
+	curve.append(bias_t_mV[ind]*1e-3)
+
+h=[pp.figure() for x in range(2)]
+ax=[hT.subplots(1,1) for hT in h]
+ax.append(ax[1].twinx())
+
+
+ax[0].set_xlabel('Gate Bias (mV)')
+ax[0].set_ylabel('Current (mA)')
+ax[0].plot(bias_t_mV, bias_t_mA)
+
+ax[1].set_xlabel('Frequency (GHz)')
+ax[1].set_ylabel('Gain (dB)')
+ax[2].set_ylabel('Phase (deg)')
+inds = [curve[2] for curve in search_curves]
+bw = 28
+freq_synthetic = np.linspace(-bw/2,bw/2,201)+28
+print(search_curves)
+for ind in inds:
+	GP=np.polyfit(buffer_freq, buffer_gain[:,ind], 2)
+	PP=np.polyfit(buffer_freq, buffer_phase[:,ind], 2)
+	#print(" %.2fe-3 x^2 + %.2fe-3 x + %.2fe-3 " % tuple(1e3*P))
+	print(ind)
+	print(GP)
+	print(PP)
+	ax[1].plot(freq_synthetic, np.polyval(GP,freq_synthetic))
+	ax[2].plot(freq_synthetic, np.polyval(PP,freq_synthetic))
+
+ax[1].plot(buffer_freq, buffer_gain[:,inds])
+ax[2].plot(buffer_freq, buffer_phase[:,inds])
+
+[aT.grid() for aT in ax]
+[hT.tight_layout() for hT in h]
+[hT.show() for hT in h]