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#!/usr/bin/env python |
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# Last modified: Time-stamp: <2009-10-29 13:38:34 haines> |
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"""jpier_allwaves_plot""" |
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import os, sys |
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import datetime, time, 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, savefig, setp, getp, cm, colorbar |
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from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, DateFormatter, date2num, num2date |
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import procutil |
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print 'jpier_allwaves_plot ...' |
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prev_month, this_month, next_month = procutil.find_months(procutil.this_month()) |
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# ncFile1='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_2008_01.nc' |
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# ncFile2='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_2008_02.nc' |
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ncFile1='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_'+prev_month.strftime('%Y_%m')+'.nc' |
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ncFile2='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_'+this_month.strftime('%Y_%m')+'.nc' |
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have_ncFile1 = os.path.exists(ncFile1) |
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have_ncFile2 = os.path.exists(ncFile2) |
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print ' ... loading data for graph from ...' |
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print ' ... ... ' + ncFile1 + ' ... ' + str(have_ncFile1) |
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print ' ... ... ' + ncFile2 + ' ... ' + str(have_ncFile2) |
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if have_ncFile1 and have_ncFile2: |
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nc = pycdf.CDFMF((ncFile1, ncFile2)) |
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elif not have_ncFile1 and have_ncFile2: |
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nc = pycdf.CDFMF((ncFile2,)) |
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elif have_ncFile1 and not have_ncFile2: |
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nc = pycdf.CDFMF((ncFile1,)) |
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else: |
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print ' ... both files do not exist -- NO DATA LOADED' |
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return |
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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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Hs = nc.var('Hs')[:] |
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Tp = nc.var('Tp')[:] |
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Tm = nc.var('Tm')[:] |
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#Hmax = nc.var('Hmax')[:] |
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Dp = nc.var('Dp')[:] |
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Dm = nc.var('Dm')[:] |
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nc.close() |
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# ancillary data to plot |
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ncFile1='/seacoos/data/nccoos/level1/jpier/adcp/jpier_adcp_'+prev_month.strftime('%Y_%m')+'.nc' |
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ncFile2='/seacoos/data/nccoos/level1/jpier/adcp/jpier_adcp_'+this_month.strftime('%Y_%m')+'.nc' |
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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_anc = [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_anc = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt_anc] |
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# return new datetime based on computer local |
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dt_anc_local = [e.astimezone(dateutil.tz.tzlocal()) for e in dt_anc] |
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dn_anc = date2num(dt) |
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wd_anc = nc.var('wd')[:] |
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nc.close |
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# range for pcolor plots |
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cmin, cmax = (-0.5, 0.5) |
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# last dt in data for labels |
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dt1 = dt[-1] |
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dt2 = dt_local[-1] |
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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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fig = figure(figsize=(10, 8)) |
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fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9, wspace=0.1, hspace=0.1) |
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####################################### |
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# Last 30 days |
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####################################### |
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print ' ... Last 30 days' |
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ax = fig.add_subplot(4,1,1) |
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axs = [ax] |
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# use masked array to hide NaN's on plot |
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wd_anc = numpy.ma.masked_where(numpy.isnan(wd_anc), wd_anc) |
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# ax.plot returns a list of lines, so unpack tuple |
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l1, = ax.plot_date(dt_anc, wd_anc, fmt='b-') |
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l1.set_label('Water Level (MSL)') |
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ax.set_ylabel('DEPTH (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])-30, date2num(dt[-1])) # last minus 30 days to last |
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ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
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ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
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ax.set_xticklabels([]) |
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# this only moves the label not the tick labels |
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ax.xaxis.set_label_position('top') |
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ax.set_xlabel('Jpier ALL WAVES -- Last 30 days from ' + last_dt_str) |
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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('Depth (feet)') |
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# legend |
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ls1 = l1.get_label() |
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leg = ax.legend((l1,), (ls1,), 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='small') # 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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# |
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ax = fig.add_subplot(4,1,2) |
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axs.append(ax) |
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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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# Hmax = numpy.ma.masked_where(numpy.isnan(Hmax), Hmax) |
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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='b-') |
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l1.set_label('Significant Wave Height (Hs)') |
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# l2, = ax.plot_date(dt, Hmax, fmt='c-') |
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# l2.set_label('Max Wave Height (Hmax)') |
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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])-30, date2num(dt[-1])) # last minus 30 days to last |
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ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
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ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
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ax.set_xticklabels([]) |
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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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# leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left') |
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leg = ax.legend((l1,), (ls1,), 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='small') # 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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# |
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ax = fig.add_subplot(4,1,3) |
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axs.append(ax) |
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# use masked array to hide NaN's on plot |
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Tp = numpy.ma.masked_where(numpy.isnan(Tp), Tp) |
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Tm = numpy.ma.masked_where(numpy.isnan(Tm), Tm) |
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# ax.plot returns a list of lines, so unpack tuple |
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l1, = ax.plot_date(dt, Tp, fmt='b-') |
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l1.set_label('Peak Wave Period (Tp)') |
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l2, = ax.plot_date(dt, Tm, fmt='c-') |
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l2.set_label('Mean Wave Period (Tm)') |
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ax.set_ylabel('WAVE\nPERIOD (s)') |
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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])-30, date2num(dt[-1])) # last minus 30 days to last |
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ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
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ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
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ax.set_xticklabels([]) |
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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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leg = ax.legend((l1,l2), (ls1,ls2), 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='small') # 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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# |
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ax = fig.add_subplot(4,1,4) |
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axs.append(ax) |
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# use masked array to hide NaN's on plot |
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Dp = numpy.ma.masked_where(numpy.isnan(Dp), Dp) |
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Dm = numpy.ma.masked_where(numpy.isnan(Dm), Dm) |
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# ax.plot returns a list of lines, so unpack tuple |
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l1, = ax.plot_date(dt, Dp, fmt='b-') |
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l1.set_label('Peak Wave Direction (Dp)') |
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l2, = ax.plot_date(dt, Dm, fmt='c-') |
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l2.set_label('Mean Wave Direction (Dp)') |
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ax.set_ylabel('WAVE\nDIR (deg N)') |
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ax.set_ylim(0.,360.) |
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# first to last regardless of what |
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# ax.set_xlim(dt[0], dt[-1]) |
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# last minus 30 days, |
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ax.set_xlim(date2num(dt[-1])-30, date2num(dt[-1])) |
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ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
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ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
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ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
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ax.set_xlabel('Jpier ALL WAVES -- Last 30 days from ' + last_dt_str) |
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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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leg = ax.legend((l1,l2), (ls1,ls2), 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='small') # 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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# save figure |
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savefig('/home/haines/rayleigh/img/jpier_allwaves_last30days.png') |
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####################################### |
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# Last 7 days |
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####################################### |
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print ' ... Last 7 days' |
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ax = axs[0] |
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ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
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ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) ) |
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ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
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ax.set_xticklabels([]) |
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ax.set_xlabel('Jpier ALL WAVES -- Last 7 days from ' + last_dt_str) |
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ax = axs[1] |
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ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
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ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) ) |
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ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
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ax.set_xticklabels([]) |
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ax = axs[2] |
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ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
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ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) ) |
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ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
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ax.set_xticklabels([]) |
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|
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ax = axs[3] |
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ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
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ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) ) |
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ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
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ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
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ax.set_xlabel('Jpier ALL WAVES -- Last 7 days from ' + last_dt_str) |
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|
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savefig('/home/haines/rayleigh/img/jpier_allwaves_last07days.png') |
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####################################### |
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# Last 1 day (24hrs) |
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####################################### |
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print ' ... Last 1 days' |
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|
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ax = axs[0] |
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ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
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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.set_xticklabels([]) |
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ax.set_xlabel('Jpier ALL WAVES -- Last 24 hours from ' + last_dt_str) |
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|
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ax = axs[1] |
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ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
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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.set_xticklabels([]) |
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ax = axs[2] |
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ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
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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.set_xticklabels([]) |
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ax = axs[3] |
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ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
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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 ALL WAVES -- Last 24 hours from ' + last_dt_str) |
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savefig('/home/haines/rayleigh/img/jpier_allwaves_last01days.png') |
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