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#!/usr/bin/env /opt/env/haines/dataproc/bin/python |
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# Last modified: Time-stamp: <2010-04-09 16:52:14 haines> |
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"""crow_flow_plot""" |
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# plot each month |
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import os |
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# import 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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|
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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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def timeseries(pi, si, yyyy_mm, plot_type='latest'): |
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""" |
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""" |
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print 'crow_flow_plot ...' |
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|
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# |
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|
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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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ncFile1='/seacoos/data/nccoos/level1/crow/wq/crow_wq_'+prev_month.strftime('%Y_%m')+'.nc' |
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ncFile2='/seacoos/data/nccoos/level1/crow/wq/crow_wq_'+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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# open netcdf data |
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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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exit() |
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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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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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ncFile1='/seacoos/data/nccoos/level1/crow/flow/crow_flow_'+prev_month.strftime('%Y_%m')+'.nc' |
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ncFile2='/seacoos/data/nccoos/level1/crow/flow/crow_flow_'+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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# open netcdf data |
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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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exit() |
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# ncvars = nc.variables() |
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# print ncvars |
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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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# set timezone info to UTC (since data from level1 should be in UTC!!) |
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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')[:] # inches of rain in past 15 min |
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ncvars = nc.variables() |
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have_press = 'press_wl' in ncvars.keys() or 'press_flow' in ncvars.keys() |
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have_sontek = 'sontek_wl' in ncvars.keys() or 'sontek_flow' in ncvars.keys() |
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if have_press: |
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pwl2 = nc.var('press_wl')[:] # feet |
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pfl2 = nc.var('press_flow')[:] # cfs |
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if have_sontek: |
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swl2 = nc.var('sontek_wl')[:] # feet |
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sfl2 = nc.var('sontek_flow')[:] # cfs |
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nc.close() |
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# last dt in data for labels |
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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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|
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####################################### |
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# Plot month all flow (plus battery) the timeseries data |
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####################################### |
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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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ax = fig.add_subplot(4,1,1) |
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axs = [ax] |
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# ax.plot returns a list of lines, so unpack tuple |
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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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# ax.set_ylim(0,1.) |
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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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|
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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) inches to (rhs) mm |
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f = [procutil.inches2millimeters(val) for val in ax.get_ylim()] |
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ax2.set_ylim(f) |
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ax2.set_ylabel('Rain (mm)') |
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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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|
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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('CROW Stream Flow -- ' + yyyy_mm_str) |
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|
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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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# |
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ax = fig.add_subplot(4,1,2) |
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axs.append(ax) |
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|
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# ax.plot returns a list of lines, so unpack tuple |
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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.plot_date((x[1],x[-1]), (0,0), fmt='k:') |
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# ax.plot_date((x[1],x[-1]), (2.5,2.5), fmt='k--') |
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|
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ax.set_ylabel('Depth (ft)') |
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# ax.set_ylim(-0.2,3) |
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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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|
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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) feet to (rhs) meters |
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f = [procutil.feet2meters(val) for val in ax.get_ylim()] |
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ax2.set_ylim(f) |
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ax2.set_ylabel('Depth (m)') |
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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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|
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# legend |
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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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|
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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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# |
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ax = fig.add_subplot(4,1,3) |
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axs.append(ax) |
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|
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# ax.plot returns a list of lines, so unpack tuple |
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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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|
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ax.plot_date((x[1],x[-1]), (0,0), fmt='k:') |
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|
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ax.set_ylabel('Flow (cfs)') |
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# ax.set_ylim(0,350) |
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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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|
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# legend |
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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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elif have_sontek: |
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leg = ax.legend((l2,), (ls2,), loc='upper left') |
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|
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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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| 278 |
frame.set_facecolor('0.80') # set the frame face color to light gray |
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| 279 |
frame.set_alpha(0.5) # set alpha low to see through |
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| 280 |
setp(ltext, fontsize='small') # the legend text fontsize |
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| 281 |
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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# |
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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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|
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# ax.plot returns a list of lines, so unpack tuple |
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(x, y) = procutil.addnan(dt, batt) |
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l1, = ax.plot_date(x, y, fmt='b-') |
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l1.set_label('Station Battery') |
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|
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ax.set_ylabel('Battery\n (volts)') |
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| 297 |
# ax.set_ylim(12, 14.5) |
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| 298 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
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| 299 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
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| 300 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
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| 301 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
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|
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ax.set_xlabel('CROW Stream Flow -- ' + yyyy_mm_str) |
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|
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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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| 308 |
ltext = leg.get_texts() # all the text.Text instance in the legend |
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| 309 |
llines = leg.get_lines() # all the lines.Line2D instance in the legend |
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| 310 |
frame = leg.get_frame() # the patch.Rectangle instance surrounding the legend |
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| 311 |
frame.set_facecolor('0.80') # set the frame face color to light gray |
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| 312 |
frame.set_alpha(0.5) # set alpha low to see through |
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| 313 |
setp(ltext, fontsize='small') # the legend text fontsize |
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| 314 |
setp(llines, linewidth=1.5) # the legend linewidth |
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| 315 |
# leg.draw_frame(False) # don't draw the legend frame |
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| 316 |
|
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# save figure |
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ofn = '/home/haines/rayleigh/img/crow/crow_flow_' + yyyy_mm_str + '.png' |
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print '... ... write: %s' % (ofn,) |
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| 320 |
savefig(ofn) |
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|
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|
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####################################### |
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# Last 30 days |
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| 325 |
####################################### |
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| 326 |
if plot_type=='latest': |
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| 327 |
print ' ... Last 30 days' |
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| 328 |
for idx, ax in enumerate(axs): |
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| 329 |
ax.set_xlim(date2num(dt[-1])-30, date2num(dt[-1])) |
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| 330 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
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| 331 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
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| 332 |
ax.set_xticklabels([]) |
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| 333 |
if idx==0: |
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| 334 |
ax.set_xlabel('CROW Stream Flow -- Last 30 days from ' + last_dt_str) |
|---|
| 335 |
elif idx==len(axs)-1: |
|---|
| 336 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 337 |
ax.set_xlabel('CROW Stream Flow -- Last 30 days from ' + last_dt_str) |
|---|
| 338 |
|
|---|
| 339 |
savefig('/home/haines/rayleigh/img/crow_flow_last30days.png') |
|---|
| 340 |
|
|---|
| 341 |
|
|---|
| 342 |
####################################### |
|---|
| 343 |
# Last 7 days |
|---|
| 344 |
####################################### |
|---|
| 345 |
if plot_type=='latest': |
|---|
| 346 |
print ' ... Last 7 days' |
|---|
| 347 |
for idx, ax in enumerate(axs): |
|---|
| 348 |
ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
|---|
| 349 |
ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) ) |
|---|
| 350 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
|---|
| 351 |
ax.set_xticklabels([]) |
|---|
| 352 |
if idx==0: |
|---|
| 353 |
ax.set_xlabel('CROW Stream Flow -- Last 7 days from ' + last_dt_str) |
|---|
| 354 |
elif idx==len(axs)-1: |
|---|
| 355 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 356 |
ax.set_xlabel('CROW Stream Flow -- Last 7 days from ' + last_dt_str) |
|---|
| 357 |
|
|---|
| 358 |
savefig('/home/haines/rayleigh/img/crow_flow_last07days.png') |
|---|
| 359 |
|
|---|
| 360 |
|
|---|
| 361 |
####################################### |
|---|
| 362 |
# Last 1 day (24hrs) |
|---|
| 363 |
####################################### |
|---|
| 364 |
if plot_type=='latest': |
|---|
| 365 |
print ' ... Last 1 days' |
|---|
| 366 |
|
|---|
| 367 |
for idx, ax in enumerate(axs): |
|---|
| 368 |
ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
|---|
| 369 |
ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
|---|
| 370 |
ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
|---|
| 371 |
ax.set_xticklabels([]) |
|---|
| 372 |
if idx==0: |
|---|
| 373 |
ax.set_xlabel('CROW Stream Flow -- Last 24 hours from ' + last_dt_str) |
|---|
| 374 |
elif idx==len(axs)-1: |
|---|
| 375 |
ax.xaxis.set_major_formatter( DateFormatter('%H') ) |
|---|
| 376 |
ax.set_xlabel('CROW Stream Flow -- Last 24 hours from ' + last_dt_str) |
|---|
| 377 |
|
|---|
| 378 |
savefig('/home/haines/rayleigh/img/crow_flow_last01days.png') |
|---|
| 379 |
|
|---|
| 380 |
|
|---|
| 381 |
|
|---|
| 382 |
|
|---|
