def seeingCorrelations (seeingDays, otherDays): """ :param seeingDays: a list of Day objects for seeing :param otherDays: a list of Day objects for some sensor :return: correlation list of 3-tuples of pc's """ correlations = ambient.crossCorrelate (seeingDays, otherDays, args.start_minutes*60, args.stop_minutes*60, args.past_midnight, args.min_points) #this is a 3-tuple (day, otherDay, pc), day is in seeingDays, otherDay is in otherDays #remove rows with nonsense pc values correlations = [t for t in correlations if t[2] <= 1.0] #filter just pcs in the range we want correlations = [t for t in correlations if t [2] >= args.start_pc and t [2] <= args.stop_pc] return correlations
#remove rows with nonsense pc values correlations = [t for t in correlations if t[2] <= 1.0] #filter just pcs in the range we want correlations = [t for t in correlations if t [2] >= args.start_pc and t [2] <= args.stop_pc] return correlations #make a 2d color plot of days on the x axis and sensors names on the Y axis and each #grid point (x,y) is pc seeing vs y at day x yTicks = [] correlationsArray = [] for p in ambient.parameterBasenames [1:]: otherDays = ambient.Days (os.path.join (args.indir, p + ".orig"), args.start_date, args.stop_date, allSeeingDays) yTicks.append (p) correlations = ambient.crossCorrelate (seeingDays, otherDays.days, args.start_minutes*60, args.stop_minutes*60, args.past_midnight, args.min_points) correlationsArray.append (correlations) ambient.plotSensorSeeingPC (os.path.join (args.outdir, "pc-seeing+all.pdf"), correlationsArray, yTicks, seeingDays, os.path.basename (args.indir)) #make histogram of seeing for all seconds of days and #seeing for start/stop seconds of all days pdfPages = PdfPages (os.path.join (args.outdir, "seeing.histogram.pdf")) fig = plt.figure () ax = fig.add_subplot (1, 1, 1) allSeeing = [] periodSeeing = [] for day in seeingDays: values = [m [1] for m in day.measurements] allSeeing.extend (values)
