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#!/usr/bin/env python |
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# Last modified: Time-stamp: <2008-08-13 14:54:33 haines> |
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"""jpier_dspec_plot""" |
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import os, sys |
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import datetime, time, dateutil, dateutil.tz |
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import pycdf |
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import numpy |
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sys.path.append('/home/haines/nccoos/raw2proc') |
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del(sys) |
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os.environ["MPLCONFIGDIR"]="/home/haines/.matplotlib/" |
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from pylab import figure, twinx, twiny, savefig, setp, getp, cm, colorbar |
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from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, DateFormatter, date2num, num2date |
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from matplotlib.ticker import MaxNLocator, FormatStrFormatter, ScalarFormatter |
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import procutil |
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def which_to_plot(odir, ncfn): |
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""" |
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Finds which timestamp in netCDF data file (ncfn) does not have a |
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corresponding directional spectrum plot png in output dir (odir) |
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:Parameters: |
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odir : string, path to location of png's |
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ncfn : string, filename and path to netCDF file |
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:Returns: |
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j_seq : integer sequence, for indices of data to plot |
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""" |
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nc = pycdf.CDF(ncFile1) |
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# nc = pycdf.CDFMF((ncFile1, ncFile2)) |
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ncvars = nc.variables() |
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# print ncvars |
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es = nc.var('time')[:] |
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units = nc.var('time').units |
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dt = [procutil.es2dt(e) for e in es] |
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dts = [d.strftime('%Y_%m_%d_%H%M') for d in dt] |
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# list all pngs |
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import glob |
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gs = os.path.join(odir, '*.png') |
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all_pngs = glob.glob(gs) |
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ap = ''.join(all_pngs) |
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# find index of dts not in all_pngs |
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j_seq = [j for j in range(len(dts)) if ap.find(dts[j]) == -1] |
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# return index values to plot (j) |
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return j_seq |
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print 'jpier_dspec_plot ...' |
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prev_month, this_month, next_month = procutil.find_months(procutil.this_month()) |
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# ncFile1='/home/haines/test_data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_2008_03.nc' |
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# ncFile2='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_2008_03.nc' |
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# ncFile1='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_'+prev_month.strftime('%Y_%m')+'.nc' |
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ncFile1='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_'+this_month.strftime('%Y_%m')+'.nc' |
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odir = os.path.join('/seacoos/data/nccoos/level3/jpier/adcpwaves/dspec', this_month.strftime('%Y_%m')) |
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if not os.path.exists(odir): |
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os.mkdir(odir) |
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j_seq = which_to_plot(odir, ncFile1) |
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# print j_seq |
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if not j_seq: |
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j_seq = [-1] |
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# load data |
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print ' ... loading data for graph from ...' |
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print ' ... ... ' + ncFile1 |
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# print ' ... ... ' + ncFile2 |
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for j in j_seq: |
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nc = pycdf.CDF(ncFile1) |
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# nc = pycdf.CDFMF((ncFile1, ncFile2)) |
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ncvars = nc.variables() |
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# print ncvars |
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es = nc.var('time')[:] |
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units = nc.var('time').units |
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dt = [procutil.es2dt(e) for e in es] |
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# set timezone info to UTC (since data from level1 should be in UTC!!) |
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dt = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt] |
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# return new datetime based on computer local |
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dt_local = [e.astimezone(dateutil.tz.tzlocal()) for e in dt] |
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dn = date2num(dt) |
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f = nc.var('f')[:] |
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d = nc.var('d')[:] |
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Sxx = nc.var('Sxx')[j] |
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Sf = nc.var('Sf')[j] |
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Stheta = nc.var('Stheta')[j] |
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Stheta_wind = nc.var('Stheta_wind')[j] |
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Stheta_swell = nc.var('Stheta_swell')[j] |
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Tp = nc.var('Tp')[j] |
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Tpw = nc.var('Tp_wind')[j] |
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Tps = nc.var('Tp_swell')[j] |
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Dp = nc.var('Dp')[j] |
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Dpw = nc.var('Dp_wind')[j] |
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Dps = nc.var('Dp_swell')[j] |
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Hs = nc.var('Hs')[:] |
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Hss = nc.var('Hs_swell')[:] |
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Hsw = nc.var('Hs_wind')[:] |
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nc.close() |
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print '... ... ' + dt[j].strftime('%Y_%m_%d_%H%M') |
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# range for pcolor plots |
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cmin, cmax = (0.0, 0.05) |
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# last dt in data for labels |
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dt1 = dt[j] |
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dt2 = dt_local[j] |
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diff = abs(dt1 - dt2) |
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if diff.days>0: |
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last_dt_str = dt1.strftime("%H:%M %Z on %b %d, %Y") + ' (' + dt2.strftime("%H:%M %Z, %b %d") + ')' |
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else: |
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last_dt_str = dt1.strftime("%H:%M %Z") + ' (' + dt2.strftime("%H:%M %Z") + ')' \ |
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+ dt2.strftime(" on %b %d, %Y") |
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fn_dt_str = dt1.strftime("%Y_%m_%d_%H%M") |
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fig = figure(figsize=(9, 7)) |
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####################################### |
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# full directional spectrum S(f,d) |
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####################################### |
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# print ' ... Sxx' |
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ax = fig.add_axes((.1,.4,.4,.45)) |
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axs = [ax] |
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# use masked array to hide NaN's on plot |
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Sxxm = numpy.ma.masked_where(Sxx==0.0, Sxx) |
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pc = ax.pcolor(f, d, Sxxm.T, vmin=cmin, vmax=cmax) |
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# pc = ax.pcolor(f, d, Sxxm.T) |
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ax.set_ylabel('Direction (deg N)') |
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ax.set_ylim(0., 360.) |
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l0 = ax.axvline(x=0.1, color='k', linestyle=':', linewidth=1.5) |
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ax.set_xlim(0., 0.635) |
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ax.set_xlabel('Frequency (Hz)') |
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# setup colorbar axes instance. |
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l,b,w,h = ax.get_position() |
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cax = fig.add_axes([l+w+0.025, b-0.06, 1.0*w, 0.03]) |
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cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar |
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cb.set_label('Spectral Density (m2/Hz/deg)') |
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cb.ax.xaxis.set_label_position('top') |
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# cb.ax.set_xticks([0.1, 0.3, 0.5, 0.7, 0.9]) |
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# cb.ax.set_xticklabels([-0.4, -0.2, 0, 0.2, 0.4]) |
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# top scale wave period |
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ax2 = twiny(ax) |
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ax2.set_xlim(0., 0.635) |
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ax2.xaxis.tick_top() |
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# convert (bottom) Hertz to (top scale) seconds (1/Hz) |
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Hertz = ax.get_xticks() |
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Hertz = [val for val in Hertz if val!=0 ] |
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ax2.set_xticks(Hertz) |
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s = [round(1./val,2) for val in Hertz] |
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ax2.set_xticklabels(s) |
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ax2.set_xlabel('Wave Period (sec)') |
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####################################### |
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# print ' ... all, swell, and wind labels' |
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ax = fig.add_axes((.1,.875,.4,.10)) |
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axs.append(ax) |
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ax.set_axis_off() |
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ax.set_axis_bgcolor(None) |
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ax.axvline(x=0.1, color='k', linestyle=':', linewidth=1.5) |
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ax.plot([0., 0.635], [0.6, 0.6], 'k-') |
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ax.plot([0.005], [0.6],'k<') |
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ax.plot([0.63],[0.6],'k>') |
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ax.text(0.5, 0.65, 'ALL FREQs', |
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horizontalalignment='center', |
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# verticalalignment='center', |
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transform=ax.transAxes, |
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bbox=dict(facecolor=None, edgecolor='k', alpha=1)) |
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ax.plot([0.0, 0.1], [0.3,0.3], 'g-') |
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ax.plot([0.005], [0.3],'g<') |
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ax.plot([0.095],[0.3],'g>') |
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ax.text(0.05, .35, 'SWELL', color='g', |
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horizontalalignment='center', |
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# verticalalignment='center', |
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transform=ax.transAxes, |
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bbox=dict(facecolor=None, edgecolor='g', alpha=1)) |
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ax.plot([0.1, 0.635], [0.3,0.3], 'b-') |
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ax.plot([0.105], [0.3], 'b<') |
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ax.plot([0.63], [0.3], 'b>') |
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ax.text(0.7, 0.35, 'WIND', color='b', |
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horizontalalignment='center', |
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# verticalalignment='center', |
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transform=ax.transAxes, |
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bbox=dict(facecolor=None, edgecolor='b', alpha=1)) |
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ax.set_ylim(0.,1.) |
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ax.set_xlim(0.,0.635) |
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####################################### |
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# print ' ... Sf' |
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ax = fig.add_axes((.1,.25,.4,.15)) |
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axs.append(ax) |
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l1, = ax.plot(f, Sf, 'k-') |
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l1.set_label('Non-directional Spectrum') |
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l0 = ax.axvline(x=0.1, color='k', linestyle=':', linewidth=1.5) |
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l2 = ax.axvline(1/Tp, color='k', linestyle='-', label='ALL Wave Frequencies') |
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l3 = ax.axvline(1/Tps, color='g', linestyle='-', label='SWELL Waves') |
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l4 = ax.axvline(1/Tpw, color='b', linestyle='-', label='WIND Waves') |
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ax.set_axis_bgcolor(None) |
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ax.set_xlim(0., 0.635) |
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ax.set_ylabel('Sf (m2/Hz)') |
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ax.set_ylim(0, 3.0) |
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# ax.set_title('Frequency Spectrum') |
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# legend |
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ls2 = l2.get_label() |
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ls3 = l3.get_label() |
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ls4 = l4.get_label() |
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leg = fig.legend((l2,l3,l4), (ls2,ls3,ls4), loc=(.520,.225)) |
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ltext = leg.get_texts() # all the text.Text instance in the legend |
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llines = leg.get_lines() # all the lines.Line2D instance in the legend |
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frame = leg.get_frame() # the patch.Rectangle instance surrounding the legend |
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frame.set_facecolor('0.80') # set the frame face color to light gray |
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frame.set_alpha(0.5) # set alpha low to see through |
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setp(ltext, fontsize='small') # the legend text fontsize |
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setp(llines, linewidth=1.5) # the legend linewidth |
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####################################### |
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# print ' ... Stheta' |
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ax = fig.add_axes((.520,.4,.125,.45)) |
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axs.append(ax) |
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xlim = (0.,0.003) |
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l1, = ax.plot(Stheta, d, 'k-') |
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l2 = ax.axhline(Dp, color='k', linestyle='-') |
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# label ALL FREQ |
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ax.text(0.5, 0.95, 'ALL FREQs', horizontalalignment='center', |
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transform=ax.transAxes, bbox=dict(facecolor=None, edgecolor='k', alpha=0.5)) |
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ax.set_yticklabels([]) |
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ax.set_ylim(0., 360.) |
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ax.xaxis.tick_top() |
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ax.xaxis.set_label_position('top') |
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ax.set_xlim(xlim) |
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# ax.xaxis.set_major_locator(MaxNLocator(3)) |
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# ax.xaxis.set_major_formatter(ScalarFormatter()) |
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ax.set_xticks([0.,0.001,0.002]) |
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ax.set_xticklabels(['0.0e-3','1.0','2.0']) |
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####################################### |
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# print ' ... Stheta_swell' |
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ax = fig.add_axes((.67,.4,.125,.45)) |
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axs.append(ax) |
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l1, = ax.plot(Stheta_swell, d, 'g-') |
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l2 = ax.axhline(Dps, color='g', linestyle='-') |
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# label SWELL |
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ax.text(0.5, 0.95, 'SWELL', color='g', horizontalalignment='center', |
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transform=ax.transAxes, bbox=dict(facecolor=None, edgecolor='g', alpha=0.5)) |
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ax.set_yticklabels([]) |
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ax.set_ylim(0., 360.) |
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ax.xaxis.tick_top() |
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ax.xaxis.set_label_position('top') |
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ax.set_xlabel('Stheta (m2/deg)') |
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ax.set_xlim(xlim) |
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# ax.xaxis.set_major_locator(MaxNLocator(3)) |
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# ax.xaxis.set_major_formatter(ScalarFormatter()) |
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ax.set_xticks([0.,0.001,0.002]) |
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ax.set_xticklabels(['0.0','1.0','2.0']) |
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ax.set_title('Jpier Wave Data as of ' + last_dt_str, fontsize=14) |
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# ax.set_title('Directional Spectrum') |
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ax.title.set_position((-0.8, 1.25)) |
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####################################### |
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# print ' ... Stheta_wind' |
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ax = fig.add_axes((.82,.4,.125,.45)) |
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axs.append(ax) |
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l1, = ax.plot(Stheta_wind, d, 'b-') |
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l2 = ax.axhline(Dpw, color='b', linestyle='-') |
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# label WIND |
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ax.text(0.5, 0.95, 'WIND', color='b', horizontalalignment='center', |
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transform=ax.transAxes, bbox=dict(facecolor=None, edgecolor='b', alpha=0.5)) |
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ax.xaxis.tick_top() |
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ax.xaxis.set_label_position('top') |
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ax.set_xlim(xlim) |
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# ax.xaxis.set_major_locator(MaxNLocator(3)) |
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# ax.xaxis.set_major_formatter(ScalarFormatter()) |
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ax.set_xticks([0.,0.001,0.002]) |
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ax.set_xticklabels(['0.0','1.0','2.0e-03']) |
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ax.yaxis.tick_right() |
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ax.set_ylim(0., 360.) |
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ax.yaxis.set_label_position('right') |
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ax.set_ylabel('Direction (deg N)') |
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####################################### |
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# print ' ... Hs, Hss, Hsw' |
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ax = fig.add_axes((.1,.05,.8,.15)) |
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axs.append(ax) |
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|
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# use masked array to hide NaN's on plot |
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Hs = numpy.ma.masked_where(numpy.isnan(Hs), Hs) |
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Hss = numpy.ma.masked_where(numpy.isnan(Hss), Hss) |
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Hsw = numpy.ma.masked_where(numpy.isnan(Hsw), Hsw) |
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|
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# ax.plot returns a list of lines, so unpack tuple |
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l1, = ax.plot_date(dt, Hs, fmt='k-') |
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l1.set_label('Significant Wave Height (Hs)') |
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l2, = ax.plot_date(dt, Hss, fmt='g-') |
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l2.set_label('Sig. Swell Wave Height (Hss)') |
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l3, = ax.plot_date(dt, Hsw, fmt='b-') |
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l3.set_label('Sig. Wind Wave Height (Hsw)') |
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|
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ax.set_ylabel('WAVE\nHEIGHT(m)') |
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# ax.set_ylim(2.,10.) |
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# ax.set_xlim(dt[0], dt[-1]) # first to last regardless of what |
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ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) # last minus 30 days to last |
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ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
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ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
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ax.xaxis.set_major_formatter( DateFormatter('%H') ) |
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ax.set_xlabel('Jpier Wave Height -- Last 24 hours from ' + last_dt_str) |
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|
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# right-hand side scale |
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ax2 = twinx(ax) |
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ax2.yaxis.tick_right() |
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# convert (lhs) meters to (rhs) feet |
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feet = [procutil.meters2feet(val) for val in ax.get_ylim()] |
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ax2.set_ylim(feet) |
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ax2.set_ylabel('(feet)') |
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# legend |
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ls1 = l1.get_label() |
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ls2 = l2.get_label() |
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ls3 = l3.get_label() |
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leg = ax.legend((l1,l2,l3), (ls1,ls2,ls3), loc='upper left') |
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ltext = leg.get_texts() # all the text.Text instance in the legend |
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llines = leg.get_lines() # all the lines.Line2D instance in the legend |
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frame = leg.get_frame() # the patch.Rectangle instance surrounding the legend |
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frame.set_facecolor('0.80') # set the frame face color to light gray |
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frame.set_alpha(0.5) # set alpha low to see through |
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setp(ltext, fontsize=8) # the legend text fontsize |
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setp(llines, linewidth=1.5) # the legend linewidth |
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leg.draw_frame(False) # don't draw the legend frame |
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|
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# save figure |
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ofn = os.path.join(odir, 'jpier_dspec_'+fn_dt_str+'.png') |
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savefig(ofn) |
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|
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# copy last latest |
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ofn2 = '/home/haines/rayleigh/img/jpier_dspec_last01days.png' |
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import shutil |
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shutil.copy(ofn, ofn2) |
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# copy last 24 to loop directory |
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import glob |
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gs = os.path.join(odir, '*.png') |
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359 |
all_pngs = glob.glob(gs) |
---|
360 |
all_pngs.sort() |
---|
361 |
j=1 |
---|
362 |
for png in all_pngs[-24:]: |
---|
363 |
ofn = '/home/haines/rayleigh/loop/jpier_dspec_plot_%d.png' % (j,) |
---|
364 |
shutil.copy(png, ofn) |
---|
365 |
j=j+1 |
---|
366 |
|
---|
367 |
# |
---|