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"""crow_all_plot""" |
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import os, sys, glob, re |
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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('/opt/env/haines/dataproc/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 'crow_all_plot ...' |
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proc_dir = '/seacoos/data/nccoos/level1/crow/wq/' |
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fns = glob.glob((os.path.join(proc_dir, '*2009*.nc'))) |
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fns.sort() |
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for fn in fns: |
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m=re.search('\d{4}_\d{2}', fn) |
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yyyy_mm = m.group() |
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prev_month, this_month, next_month = procutil.find_months(yyyy_mm) |
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yyyy_mm_str = this_month.strftime('%Y_%m') |
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prev_month, this_month, next_month = procutil.find_months(procutil.this_month()) |
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datadir = '/seacoos/data/nccoos/level1' |
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platform = 'meet' |
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package = 'wq' |
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ncFile1 = os.path.join(datadir, platform, package, platform+'_'+package+'_'+prev_month.strftime('%Y_%m')+'.nc') |
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ncFile2 = os.path.join(datadir, platform, package, platform+'_'+package+'_'+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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print ' ... NO PLOTS CREATED' |
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exit() |
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ncvars = nc.variables() |
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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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dt = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt] |
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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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z = nc.var('z')[:] |
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wtemp = nc.var('wtemp')[:] |
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cond = nc.var('cond')[:] |
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turb = nc.var('turb')[:] |
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ph = nc.var('ph')[:] |
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do_mg = nc.var('do_mg')[:] |
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do_sat = nc.var('do_sat')[:] |
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batt = nc.var('battvolts')[:] |
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nc.close() |
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package = 'flow' |
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ncFile1 = os.path.join(datadir, platform, package, platform+'_'+package+'_'+prev_month.strftime('%Y_%m')+'.nc') |
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ncFile2 = os.path.join(datadir, platform, package, platform+'_'+package+'_'+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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ncvars = nc.variables() |
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es2 = nc.var('time')[:] |
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units = nc.var('time').units |
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dt2 = [procutil.es2dt(e) for e in es2] |
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dt2 = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt2] |
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dn2 = date2num(dt2) |
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r2 = nc.var('rain')[:] |
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have_sontek = 'sontek_wl' in ncvars.keys() or 'sontek_flow' in ncvars.keys() |
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have_press = 'press_wl' in ncvars.keys() or 'press_flow' in ncvars.keys() |
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if have_press: |
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pwl2 = nc.var('press_wl')[:] |
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pfl2 = nc.var('press_flow')[:] |
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if have_sontek: |
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swl2 = nc.var('sontek_wl')[:] |
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sfl2 = nc.var('sontek_flow')[:] |
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nc.close() |
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dtu = dt[-1] |
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dtl = dt_local[-1] |
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diff = abs(dtu - dtl) |
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if diff.days>0: |
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last_dt_str = dtu.strftime("%H:%M %Z on %b %d, %Y") + ' (' + dtl.strftime("%H:%M %Z, %b %d") + ')' |
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else: |
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last_dt_str = dtu.strftime("%H:%M %Z") + ' (' + dtl.strftime("%H:%M %Z") + ')' \ |
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+ dtl.strftime(" on %b %d, %Y") |
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fig = figure(figsize=(10, 9)) |
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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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ax = fig.add_subplot(6,1,1) |
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axs = [ax] |
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(x, y) = procutil.addnan(dt, wtemp) |
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ibad = y <= -6999. |
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y[ibad] = numpy.nan |
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if numpy.isnan(y).all(): |
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y[-1]=0. |
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l1, = ax.plot_date(x, y, fmt='b-') |
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l1.set_label('Water Temperature') |
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ax.set_ylabel('TEMP\n (deg C)') |
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ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=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_xticklabels([]) |
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ax2 = twinx(ax) |
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ax2.yaxis.tick_right() |
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f = [procutil.celsius2fahrenheit(val) for val in ax.get_ylim()] |
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ax2.set_ylim(f) |
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ax2.set_ylabel('(deg F)') |
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ax2.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
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ax2.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
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ax2.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
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ax2.set_xticklabels([]) |
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ax.xaxis.set_label_position('top') |
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ax.set_xlabel('CROW Water Quality -- ' + yyyy_mm_str) |
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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() |
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llines = leg.get_lines() |
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frame = leg.get_frame() |
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frame.set_facecolor('0.80') |
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frame.set_alpha(0.5) |
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setp(ltext, fontsize='small') |
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setp(llines, linewidth=1.5) |
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ax = fig.add_subplot(6,1,2) |
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axs.append(ax) |
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(x, y) = procutil.addnan(dt, cond) |
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l1, = ax.plot_date(x, y, fmt='b-') |
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l1.set_label('Specific Conductivity') |
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ax.set_ylabel('Cond\n (mS/cm)') |
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ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=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_xticklabels([]) |
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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() |
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llines = leg.get_lines() |
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frame = leg.get_frame() |
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frame.set_facecolor('0.80') |
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frame.set_alpha(0.5) |
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setp(ltext, fontsize='small') |
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setp(llines, linewidth=1.5) |
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ax = fig.add_subplot(6,1,3) |
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axs.append(ax) |
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(x, y) = procutil.addnan(dt, do_mg) |
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l1, = ax.plot_date(x, y, fmt='b-') |
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l1.set_label('Dissolved Oxygen (DO)') |
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ax.set_ylabel('DO \n(mg/l)') |
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ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=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_xticklabels([]) |
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ax2 = twinx(ax) |
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ax2.yaxis.tick_right() |
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(x, y) = procutil.addnan(dt, do_sat) |
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l2, = ax2.plot_date(x, y, fmt='c-') |
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l2.set_label('Percent Air Saturation') |
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ax2.set_ylabel('DO (%)') |
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ax2.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
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ax2.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
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ax2.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
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ax2.set_xticklabels([]) |
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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() |
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llines = leg.get_lines() |
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frame = leg.get_frame() |
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frame.set_facecolor('0.80') |
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frame.set_alpha(0.5) |
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setp(ltext, fontsize='small') |
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setp(llines, linewidth=1.5) |
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ax = fig.add_subplot(6,1,4) |
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axs.append(ax) |
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(x, y) = procutil.addnan(dt, ph) |
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l1, = ax.plot_date(x, y, fmt='b-') |
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l1.set_label('pH') |
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ax.set_ylabel('pH') |
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ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=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_xticklabels([]) |
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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() |
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llines = leg.get_lines() |
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frame = leg.get_frame() |
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frame.set_facecolor('0.80') |
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frame.set_alpha(0.5) |
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setp(ltext, fontsize='small') |
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setp(llines, linewidth=1.5) |
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ax = fig.add_subplot(6,1,5) |
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axs.append(ax) |
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(x, y) = procutil.addnan(dt, turb) |
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l1, = ax.plot_date(x, y, fmt='b-') |
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l1.set_label('Turbidity') |
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ax.set_ylabel('Turb \n(NTU)') |
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ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=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_xticklabels([]) |
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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() |
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llines = leg.get_lines() |
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frame = leg.get_frame() |
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frame.set_facecolor('0.80') |
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frame.set_alpha(0.5) |
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setp(ltext, fontsize='small') |
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setp(llines, linewidth=1.5) |
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ax = fig.add_subplot(6,1,6) |
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axs.append(ax) |
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if have_press: |
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(x, y) = procutil.addnan(dt2, pfl2) |
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l1, = ax.plot_date(x, y, fmt='b-') |
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l1.set_label('Derived from pressure') |
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ls1 = l1.get_label() |
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if have_sontek: |
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(x, y) = procutil.addnan(dt2, sfl2) |
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l2, = ax.plot_date(x, y, fmt='c-') |
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l2.set_label('Depth-avg Acoustic Profile') |
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ls2 = l2.get_label() |
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ax.set_ylabel('Flow\n (cfs)') |
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ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=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('CROW Water Quality -- ' + yyyy_mm_str) |
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if have_press and have_sontek: |
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leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left') |
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elif have_press: |
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leg = ax.legend((l1,), (ls1,), loc='upper left') |
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if have_sontek: |
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leg = ax.legend((l2,), (ls2,), loc='upper left') |
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ltext = leg.get_texts() |
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llines = leg.get_lines() |
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frame = leg.get_frame() |
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frame.set_facecolor('0.80') |
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frame.set_alpha(0.5) |
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setp(ltext, fontsize='small') |
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setp(llines, linewidth=1.5) |
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ofn = '/home/haines/rayleigh/img/crow/crow_wq_'+yyyy_mm_str+'.png' |
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print '... ... write: %s' % (ofn,) |
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savefig(ofn) |
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383 |
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384 |
del(fig) |
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388 |
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fig = figure(figsize=(10, 8)) |
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391 |
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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392 |
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ax = fig.add_subplot(4,1,1) |
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axs = [ax] |
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395 |
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396 |
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(x, y) = procutil.addnan(dt2, r2) |
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l1, = ax.plot_date(x, y, fmt='b-') |
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l1.set_label('Precipitation') |
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ax.set_ylabel('Rain (in)') |
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402 |
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ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
---|
404 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
---|
405 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
---|
406 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
---|
407 |
ax.set_xticklabels([]) |
---|
408 |
|
---|
409 |
|
---|
410 |
ax2 = twinx(ax) |
---|
411 |
ax2.yaxis.tick_right() |
---|
412 |
|
---|
413 |
f = [procutil.inches2millimeters(val) for val in ax.get_ylim()] |
---|
414 |
ax2.set_ylim(f) |
---|
415 |
ax2.set_ylabel('Rain (mm)') |
---|
416 |
ax2.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
---|
417 |
ax2.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
---|
418 |
ax2.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
---|
419 |
ax2.set_xticklabels([]) |
---|
420 |
|
---|
421 |
|
---|
422 |
ax.xaxis.set_label_position('top') |
---|
423 |
ax.set_xlabel('CROW Stream Flow -- ' + yyyy_mm_str) |
---|
424 |
|
---|
425 |
|
---|
426 |
ls1 = l1.get_label() |
---|
427 |
leg = ax.legend((l1,), (ls1,), loc='upper left') |
---|
428 |
ltext = leg.get_texts() |
---|
429 |
llines = leg.get_lines() |
---|
430 |
frame = leg.get_frame() |
---|
431 |
frame.set_facecolor('0.80') |
---|
432 |
frame.set_alpha(0.5) |
---|
433 |
setp(ltext, fontsize='small') |
---|
434 |
setp(llines, linewidth=1.5) |
---|
435 |
|
---|
436 |
|
---|
437 |
|
---|
438 |
|
---|
439 |
ax = fig.add_subplot(4,1,2) |
---|
440 |
axs.append(ax) |
---|
441 |
|
---|
442 |
|
---|
443 |
if have_press: |
---|
444 |
(x, y) = procutil.addnan(dt2, pwl2) |
---|
445 |
l1, = ax.plot_date(x, y, fmt='b-') |
---|
446 |
l1.set_label('Derived from pressure') |
---|
447 |
ls1 = l1.get_label() |
---|
448 |
if have_sontek: |
---|
449 |
(x, y) = procutil.addnan(dt2, swl2) |
---|
450 |
l2, = ax.plot_date(x, y, fmt='c-') |
---|
451 |
l2.set_label('From Acoustic Sounding') |
---|
452 |
ls2 = l2.get_label() |
---|
453 |
|
---|
454 |
ax.set_ylabel('Depth (ft)') |
---|
455 |
|
---|
456 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
---|
457 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
---|
458 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
---|
459 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
---|
460 |
ax.set_xticklabels([]) |
---|
461 |
|
---|
462 |
|
---|
463 |
ax2 = twinx(ax) |
---|
464 |
ax2.yaxis.tick_right() |
---|
465 |
|
---|
466 |
f = [procutil.feet2meters(val) for val in ax.get_ylim()] |
---|
467 |
ax2.set_ylim(f) |
---|
468 |
ax2.set_ylabel('Depth (m)') |
---|
469 |
ax2.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
---|
470 |
ax2.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
---|
471 |
ax2.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
---|
472 |
ax2.set_xticklabels([]) |
---|
473 |
|
---|
474 |
|
---|
475 |
if have_press and have_sontek: |
---|
476 |
leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left') |
---|
477 |
elif have_press: |
---|
478 |
leg = ax.legend((l1,), (ls1,), loc='upper left') |
---|
479 |
elif have_sontek: |
---|
480 |
leg = ax.legend((l2,), (ls2,), loc='upper left') |
---|
481 |
|
---|
482 |
ltext = leg.get_texts() |
---|
483 |
llines = leg.get_lines() |
---|
484 |
frame = leg.get_frame() |
---|
485 |
frame.set_facecolor('0.80') |
---|
486 |
frame.set_alpha(0.5) |
---|
487 |
setp(ltext, fontsize='small') |
---|
488 |
setp(llines, linewidth=1.5) |
---|
489 |
|
---|
490 |
|
---|
491 |
|
---|
492 |
|
---|
493 |
ax = fig.add_subplot(4,1,3) |
---|
494 |
axs.append(ax) |
---|
495 |
|
---|
496 |
|
---|
497 |
if have_press: |
---|
498 |
(x, y) = procutil.addnan(dt2, pfl2) |
---|
499 |
l1, = ax.plot_date(x, y, fmt='b-') |
---|
500 |
l1.set_label('Derived from pressure') |
---|
501 |
ls1 = l1.get_label() |
---|
502 |
if have_sontek: |
---|
503 |
(x, y) = procutil.addnan(dt2, sfl2) |
---|
504 |
l2, = ax.plot_date(x, y, fmt='c-') |
---|
505 |
l2.set_label('Depth-avg Acoustic Profile') |
---|
506 |
ls2 = l2.get_label() |
---|
507 |
|
---|
508 |
ax.set_ylabel('Flow (cfs)') |
---|
509 |
|
---|
510 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
---|
511 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
---|
512 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
---|
513 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
---|
514 |
ax.set_xticklabels([]) |
---|
515 |
|
---|
516 |
|
---|
517 |
if have_press and have_sontek: |
---|
518 |
leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left') |
---|
519 |
elif have_press: |
---|
520 |
leg = ax.legend((l1,), (ls1,), loc='upper left') |
---|
521 |
elif have_sontek: |
---|
522 |
leg = ax.legend((l2,), (ls2,), loc='upper left') |
---|
523 |
|
---|
524 |
ltext = leg.get_texts() |
---|
525 |
llines = leg.get_lines() |
---|
526 |
frame = leg.get_frame() |
---|
527 |
frame.set_facecolor('0.80') |
---|
528 |
frame.set_alpha(0.5) |
---|
529 |
setp(ltext, fontsize='small') |
---|
530 |
setp(llines, linewidth=1.5) |
---|
531 |
|
---|
532 |
|
---|
533 |
|
---|
534 |
|
---|
535 |
ax = fig.add_subplot(4,1,4) |
---|
536 |
axs.append(ax) |
---|
537 |
|
---|
538 |
|
---|
539 |
(x, y) = procutil.addnan(dt, batt) |
---|
540 |
l1, = ax.plot_date(x, y, fmt='b-') |
---|
541 |
l1.set_label('Station Battery') |
---|
542 |
|
---|
543 |
ax.set_ylabel('Battery\n (volts)') |
---|
544 |
|
---|
545 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
---|
546 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
---|
547 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
---|
548 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
---|
549 |
|
---|
550 |
ax.set_xlabel('CROW Stream Flow -- ' + yyyy_mm_str) |
---|
551 |
|
---|
552 |
|
---|
553 |
ls1 = l1.get_label() |
---|
554 |
leg = ax.legend((l1,), (ls1,), loc='upper left') |
---|
555 |
ltext = leg.get_texts() |
---|
556 |
llines = leg.get_lines() |
---|
557 |
frame = leg.get_frame() |
---|
558 |
frame.set_facecolor('0.80') |
---|
559 |
frame.set_alpha(0.5) |
---|
560 |
setp(ltext, fontsize='small') |
---|
561 |
setp(llines, linewidth=1.5) |
---|
562 |
|
---|
563 |
|
---|
564 |
|
---|
565 |
ofn = '/home/haines/rayleigh/img/crow/crow_flow_' + yyyy_mm_str + '.png' |
---|
566 |
print '... ... write: %s' % (ofn,) |
---|
567 |
savefig(ofn) |
---|
568 |
|
---|
569 |
|
---|
570 |
|
---|
571 |
|
---|
572 |
|
---|
573 |
|
---|
574 |
|
---|
575 |
print ' ... Last 30 days' |
---|
576 |
ax = axs[0] |
---|
577 |
ax.set_xlim(date2num(dt[-1])-30, date2num(dt[-1])) |
---|
578 |
ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) ) |
---|
579 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
---|
580 |
ax.set_xticklabels([]) |
---|
581 |
ax.set_xlabel('CROW Stream Flow -- Last 30 days from ' + last_dt_str) |
---|
582 |
|
---|
583 |
ax = axs[1] |
---|
584 |
ax.set_xlim(date2num(dt[-1])-30, date2num(dt[-1])) |
---|
585 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,1)) ) |
---|
586 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
---|
587 |
ax.set_xticklabels([]) |
---|
588 |
|
---|
589 |
ax = axs[2] |
---|
590 |
ax.set_xlim(date2num(dt[-1])-30, date2num(dt[-1])) |
---|
591 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,1)) ) |
---|
592 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
---|
593 |
ax.set_xticklabels([]) |
---|
594 |
|
---|
595 |
ax = axs[3] |
---|
596 |
ax.set_xlim(date2num(dt[-1])-30, date2num(dt[-1])) |
---|
597 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,1)) ) |
---|
598 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
---|
599 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
---|
600 |
ax.set_xlabel('CROW Stream Flow -- Last 7 days from ' + last_dt_str) |
---|
601 |
|
---|
602 |
|
---|
603 |
savefig('/home/haines/rayleigh/img/crow_flow_last30days.png') |
---|
604 |
|
---|
605 |
|
---|
606 |
|
---|
607 |
|
---|
608 |
|
---|
609 |
print ' ... Last 7 days' |
---|
610 |
ax = axs[0] |
---|
611 |
ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
---|
612 |
ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) ) |
---|
613 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
---|
614 |
ax.set_xticklabels([]) |
---|
615 |
ax.set_xlabel('CROW Stream Flow -- Last 7 days from ' + last_dt_str) |
---|
616 |
|
---|
617 |
ax = axs[1] |
---|
618 |
ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
---|
619 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,1)) ) |
---|
620 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
---|
621 |
ax.set_xticklabels([]) |
---|
622 |
|
---|
623 |
ax = axs[2] |
---|
624 |
ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
---|
625 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,1)) ) |
---|
626 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
---|
627 |
ax.set_xticklabels([]) |
---|
628 |
|
---|
629 |
ax = axs[3] |
---|
630 |
ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
---|
631 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,1)) ) |
---|
632 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
---|
633 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
---|
634 |
ax.set_xlabel('CROW Stream Flow -- Last 7 days from ' + last_dt_str) |
---|
635 |
|
---|
636 |
savefig('/home/haines/rayleigh/img/crow_flow_last07days.png') |
---|
637 |
|
---|
638 |
|
---|
639 |
|
---|
640 |
|
---|
641 |
|
---|
642 |
print ' ... Last 1 days' |
---|
643 |
|
---|
644 |
ax = axs[0] |
---|
645 |
ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
---|
646 |
ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
---|
647 |
ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
---|
648 |
ax.set_xticklabels([]) |
---|
649 |
ax.set_xlabel('CROW Stream Flow -- Last 24 hours from ' + last_dt_str) |
---|
650 |
|
---|
651 |
ax = axs[1] |
---|
652 |
ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
---|
653 |
ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
---|
654 |
ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
---|
655 |
ax.set_xticklabels([]) |
---|
656 |
|
---|
657 |
ax = axs[2] |
---|
658 |
ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
---|
659 |
ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
---|
660 |
ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
---|
661 |
ax.set_xticklabels([]) |
---|
662 |
|
---|
663 |
ax = axs[3] |
---|
664 |
ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
---|
665 |
ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
---|
666 |
ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
---|
667 |
ax.xaxis.set_major_formatter( DateFormatter('%H') ) |
---|
668 |
ax.set_xlabel('CROW Stream Flow -- Last 24 hours from ' + last_dt_str) |
---|
669 |
|
---|
670 |
savefig('/home/haines/rayleigh/img/crow_flow_last01days.png') |
---|