Random updates for paper revisions. Getting janky!

rev_simplot_stab.py

@@ -0,0 +1,127 @@
+#!/usr/bin/env python3
+import os
+import argparse
+import numpy as np
+import matplotlib
+################################################################################
+args_parser = argparse.ArgumentParser()
+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_parser.add_argument('-n', type=int, default=0,
+	help='plot testing number')
+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
+if not HEADLESS: pp.interactive(True)
+import LPRDefaultPlotting
+from tankComputers import *
+import csv
+
+file_list = [
+	['stability_corners',
+	'20190727_PS_KF_Simulation_NoBuffer_BiasDP_WorstCase_C9']
+]
+
+file_test = file_list[args.n]
+
+fig_dir='figures-revised'
+fn='revisedData/clean_%s.csv' % (file_test[1])
+fo=file_test[0]
+
+fh=open(fn,'r')
+reader=csv.reader(fh)
+h1 = None
+
+if args.n in [0,1,2]: # X/Y data
+	x_dat=[]
+	y_dat=[]
+	reader.__next__() # toss the keys
+
+	for row in reader:
+		x_dat.append(float(row[0]))
+		y_dat.append(float(row[1]))
+
+y_lims = None
+
+if args.n == 0:
+	x = 1e-9 * np.array(x_dat)
+	lab_x = 'Frequency (GHz)'
+	lab_title = 'Noise Figure vs. Frequency'
+	h1=pp.figure(figsize=(3.4,1.8))
+
+if args.n == 1:
+	x = np.array(x_dat)*1e3
+	lab_x = 'Bias (mV)'
+	lab_title = 'Noise Figure vs. Q-enhancement bias'
+
+if args.n in [0, 1]:
+	y = np.array(y_dat)
+	lab_y = 'Noise Figure (dB)'
+	y_lims = [9.7, 10.7]
+	x_lims = [min(x),max(x)]
+
+if args.n == 2:
+	x = np.array(x_dat) * 1e3
+	y = np.array(y_dat)
+	lab_x = 'Bias (mV)'
+	lab_y = '$K_f$ (-)'
+	lab_title = 'Stability vs. Bias'
+	y_lims = [-2, 50]
+	x_lims = [min(x),500]
+	h1=pp.figure(figsize=(3.4,2))
+
+
+if h1 == None: h1 = pp.figure(figsize=(3.4,2))
+ax = h1.add_subplot(1,1,1)
+
+ax.plot(x,y)
+ax.set_title(lab_title)
+ax.set_xlabel(lab_x)
+ax.set_ylabel(lab_y)
+ax.set_xlim(x_lims)
+
+if y_lims != None: ax.set_ylim(y_lims)
+if args.n == 2:
+	nl_x = np.ones((2,1))*min(x[y <= 0])
+	nl_y = ax.get_ylim()
+	nl_1 = matplotlib.lines.Line2D(nl_x, nl_y)
+	nl_x = np.ones((2,1))*400
+	nl_2 = matplotlib.lines.Line2D(nl_x, nl_y)
+	for nl in [nl_1, nl_2]:
+		nl.set_color('C1')
+	ax.add_line(nl_1)
+	LPRDefaultPlotting.annotateArrow(ax, 5, [397, 381], direction='left')
+	LPRDefaultPlotting.annotateArrow(ax, 10, [481, 495])
+
+	LPRDefaultPlotting.annotateArrowStr(ax, 
+		"Measurement\nBound", 5, 350)
+	LPRDefaultPlotting.annotateArrowStr(ax, 
+		"Unstable\nRegion", 15, 475)
+
+	ax.add_line(nl_2)
+
+ax.grid(True)
+h1.tight_layout()
+
+if args.save:
+	h1.savefig('%s/%s.%s' % (fig_dir, fo, fig_ext))
+if HEADLESS:
+	pp.close()