root/proc2plot/trunk/proc2plot/meet_flow_plot.py

#!/usr/bin/env /opt/env/haines/dataproc/bin/python
# Last modified:  Time-stamp: <2010-04-09 16:49:47 haines>
"""meet_flow_plot"""

# plot each month

import os
# import sys, glob, re
import datetime, time, dateutil, dateutil.tz
import pycdf
import numpy

# sys.path.append('/opt/env/haines/dataproc/raw2proc')
# del(sys)

os.environ["MPLCONFIGDIR"]="/home/haines/.matplotlib/"

from pylab import figure, twinx, savefig, setp, getp, cm, colorbar
from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, DateFormatter, date2num, num2date
import procutil

def timeseries(pi, si, yyyy_mm, plot_type='latest'):
    """ 
    """


    print 'meet_flow_plot ...'

    #

    prev_month, this_month, next_month = procutil.find_months(yyyy_mm)
    yyyy_mm_str = this_month.strftime('%Y_%m')

    ncFile1='/seacoos/data/nccoos/level1/meet/wq/meet_wq_'+prev_month.strftime('%Y_%m')+'.nc'
    ncFile2='/seacoos/data/nccoos/level1/meet/wq/meet_wq_'+this_month.strftime('%Y_%m')+'.nc'

    have_ncFile1 = os.path.exists(ncFile1)
    have_ncFile2 = os.path.exists(ncFile2)

    print ' ... loading data for graph from ...'
    print ' ... ... ' + ncFile1 + ' ... ' + str(have_ncFile1)
    print ' ... ... ' + ncFile2 + ' ... ' + str(have_ncFile2)

    # open netcdf data
    if have_ncFile1 and have_ncFile2:
        nc = pycdf.CDFMF((ncFile1, ncFile2))
    elif not have_ncFile1 and have_ncFile2:
        nc = pycdf.CDFMF((ncFile2,))
    elif have_ncFile1 and not have_ncFile2:
        nc = pycdf.CDFMF((ncFile1,))
    else:
        print ' ... both files do not exist -- NO DATA LOADED'
        return

    # ncvars = nc.variables()
    # print ncvars
    es = nc.var('time')[:]
    units = nc.var('time').units
    dt = [procutil.es2dt(e) for e in es]
    # set timezone info to UTC (since data from level1 should be in UTC!!)
    dt = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt]
    # return new datetime based on computer local
    dt_local = [e.astimezone(dateutil.tz.tzlocal()) for e in dt]
    dn = date2num(dt)

    z = nc.var('z')[:]
    wtemp = nc.var('wtemp')[:]
    cond = nc.var('cond')[:]
    turb = nc.var('turb')[:]
    ph = nc.var('ph')[:]
    do_mg = nc.var('do_mg')[:]
    do_sat = nc.var('do_sat')[:]
    batt = nc.var('battvolts')[:]
    nc.close()


    ncFile1='/seacoos/data/nccoos/level1/meet/flow/meet_flow_'+prev_month.strftime('%Y_%m')+'.nc'
    ncFile2='/seacoos/data/nccoos/level1/meet/flow/meet_flow_'+this_month.strftime('%Y_%m')+'.nc'

    have_ncFile1 = os.path.exists(ncFile1)
    have_ncFile2 = os.path.exists(ncFile2)

    print ' ... loading data for graph from ...'
    print ' ... ... ' + ncFile1 + ' ... ' + str(have_ncFile1)
    print ' ... ... ' + ncFile2 + ' ... ' + str(have_ncFile2)

    # open netcdf data
    if have_ncFile1 and have_ncFile2:
        nc = pycdf.CDFMF((ncFile1, ncFile2))
    elif not have_ncFile1 and have_ncFile2:
        nc = pycdf.CDFMF((ncFile2,))
    elif have_ncFile1 and not have_ncFile2:
        nc = pycdf.CDFMF((ncFile1,))
    else:
        print ' ... both files do not exist -- NO DATA LOADED'
        return

    # ncvars = nc.variables()
    # print ncvars
    es2 = nc.var('time')[:]
    units = nc.var('time').units
    dt2 = [procutil.es2dt(e) for e in es2]
    # set timezone info to UTC (since data from level1 should be in UTC!!)
    dt2 = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt2]
    dn2 = date2num(dt2)

    r2 = nc.var('rain')[:] # inches of rain in past 15 min
    have_sontek = False # don't plot sontek 
    # have_sontek = 'sontek_wl' in ncvars.keys() or 'sontek_flow' in ncvars.keys()
    pwl2 = nc.var('press_wl')[:] # feet
    pfl2 = nc.var('press_flow')[:] # cfs

    if have_sontek:
        swl2 = nc.var('sontek_wl')[:] # feet
        sfl2 = nc.var('sontek_flow')[:] # cfs

    nc.close()

    # last dt in data for labels
    dtu = dt[-1]
    dtl = dt_local[-1]

    diff = abs(dtu - dtl)
    if diff.days>0:
        last_dt_str = dtu.strftime("%H:%M %Z on %b %d, %Y") + ' (' + dtl.strftime("%H:%M %Z, %b %d") + ')'
    else:
        last_dt_str = dtu.strftime("%H:%M %Z") + ' (' + dtl.strftime("%H:%M %Z") + ')' \
                      + dtl.strftime(" on %b %d, %Y")

    #######################################
    # Plot month all flow (plus battery) the timeseries data
    #######################################

    fig = figure(figsize=(10, 8))
    fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9, wspace=0.1, hspace=0.1)
    
    ax = fig.add_subplot(4,1,1)
    axs = [ax]
    
    # ax.plot returns a list of lines, so unpack tuple
    (x, y) = procutil.addnan(dt2, r2)
    l1, = ax.plot_date(x, y, fmt='b-')
    l1.set_label('Precipitation')
    
    ax.set_ylabel('Rain (in)')
    # ax.set_ylim(0,1.)
    ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1)))
    ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
    ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
    ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
    ax.set_xticklabels([])

    # right-hand side scale
    ax2 = twinx(ax)
    ax2.yaxis.tick_right()
    # convert (lhs) inches to (rhs) mm
    f = [procutil.inches2millimeters(val) for val in ax.get_ylim()]
    ax2.set_ylim(f)
    ax2.set_ylabel('Rain (mm)')
    ax2.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1)))
    ax2.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
    ax2.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
    ax2.set_xticklabels([])

    # this only moves the label not the tick labels
    ax.xaxis.set_label_position('top')
    ax.set_xlabel('MEET Stream Flow -- ' + yyyy_mm_str)
    
    # legend
    ls1 = l1.get_label()
    leg = ax.legend((l1,), (ls1,), loc='upper left')
    ltext  = leg.get_texts()  # all the text.Text instance in the legend
    llines = leg.get_lines()  # all the lines.Line2D instance in the legend
    frame  = leg.get_frame()  # the patch.Rectangle instance surrounding the legend
    frame.set_facecolor('0.80')      # set the frame face color to light gray
    frame.set_alpha(0.5)             # set alpha low to see through
    setp(ltext, fontsize='small')    # the legend text fontsize
    setp(llines, linewidth=1.5)      # the legend linewidth
    # leg.draw_frame(False)           # don't draw the legend frame
    
    #######################################
    #
    ax = fig.add_subplot(4,1,2)
    axs.append(ax)

    # ax.plot returns a list of lines, so unpack tuple
    (x, y) = procutil.addnan(dt2, pwl2)
    l1, = ax.plot_date(x, y, fmt='b-')
    l1.set_label('Derived from pressure')
    if have_sontek:
        (x, y) = procutil.addnan(dt2, swl2)
        l2, = ax.plot_date(x, y, fmt='c-')
        l2.set_label('From Acoustic Sounding')    
    
    ax.plot_date((x[1],x[-1]), (0,0), fmt='k:')
    ax.plot_date((x[1],x[-1]), (2.5,2.5), fmt='k--')

    ax.set_ylabel('Depth (ft)')
    ax.set_ylim(-0.2,3)
    ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1)))
    ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
    ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
    ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
    ax.set_xticklabels([])

    # right-hand side scale
    ax2 = twinx(ax)
    ax2.yaxis.tick_right()
    # convert (lhs) feet to (rhs) meters
    f = [procutil.feet2meters(val) for val in ax.get_ylim()]
    ax2.set_ylim(f)
    ax2.set_ylabel('Depth (m)')
    ax2.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1)))
    ax2.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
    ax2.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
    ax2.set_xticklabels([])

    # legend
    ls1 = l1.get_label()
    if have_sontek:
        ls2 = l2.get_label()
        leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left')
    else:
        leg = ax.legend((l1,), (ls1,), loc='upper left')
    ltext  = leg.get_texts()  # all the text.Text instance in the legend
    llines = leg.get_lines()  # all the lines.Line2D instance in the legend
    frame  = leg.get_frame()  # the patch.Rectangle instance surrounding the legend
    frame.set_facecolor('0.80')      # set the frame face color to light gray
    frame.set_alpha(0.5)             # set alpha low to see through
    setp(ltext, fontsize='small')    # the legend text fontsize
    setp(llines, linewidth=1.5)      # the legend linewidth
    # leg.draw_frame(False)           # don't draw the legend frame
    
    #######################################
    #
    ax = fig.add_subplot(4,1,3)
    axs.append(ax)
    
    # ax.plot returns a list of lines, so unpack tuple
    (x, y) = procutil.addnan(dt2, pfl2)
    l1, = ax.plot_date(x, y, fmt='b-')
    l1.set_label('Derived from pressure')
    if have_sontek:
        (x, y) = procutil.addnan(dt2, sfl2)
        l2, = ax.plot_date(x, y, fmt='c-')
        l2.set_label('Depth-avg Acoustic Profile')    
    
    ax.plot_date((x[1],x[-1]), (0,0), fmt='k:')

    ax.set_ylabel('Flow (cfs)')
    ax.set_ylim(0,350)
    ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1)))
    ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
    ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
    ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
    ax.set_xticklabels([])

    # legend
    ls1 = l1.get_label()
    if have_sontek:
        ls2 = l2.get_label()
        leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left')
    else:
        leg = ax.legend((l1,), (ls1,), loc='upper left')
    ltext  = leg.get_texts()  # all the text.Text instance in the legend
    llines = leg.get_lines()  # all the lines.Line2D instance in the legend
    frame  = leg.get_frame()  # the patch.Rectangle instance surrounding the legend
    frame.set_facecolor('0.80')      # set the frame face color to light gray
    frame.set_alpha(0.5)             # set alpha low to see through
    setp(ltext, fontsize='small')    # the legend text fontsize
    setp(llines, linewidth=1.5)      # the legend linewidth
    # leg.draw_frame(False)           # don't draw the legend frame

    #######################################
    #
    #######################################
    #
    ax = fig.add_subplot(4,1,4)
    axs.append(ax)

    # ax.plot returns a list of lines, so unpack tuple
    (x, y) = procutil.addnan(dt, batt)
    l1, = ax.plot_date(x, y, fmt='b-')
    l1.set_label('Station Battery')
    
    ax.set_ylabel('Battery\n (volts)')
    ax.set_ylim(12, 14.5)
    ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1)))
    ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
    ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
    ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )

    ax.set_xlabel('MEET Stream Flow -- ' + yyyy_mm_str)

    # legend
    ls1 = l1.get_label()
    leg = ax.legend((l1,), (ls1,), loc='upper left')
    ltext  = leg.get_texts()  # all the text.Text instance in the legend
    llines = leg.get_lines()  # all the lines.Line2D instance in the legend
    frame  = leg.get_frame()  # the patch.Rectangle instance surrounding the legend
    frame.set_facecolor('0.80')      # set the frame face color to light gray
    frame.set_alpha(0.5)             # set alpha low to see through
    setp(ltext, fontsize='small')    # the legend text fontsize
    setp(llines, linewidth=1.5)      # the legend linewidth
    # leg.draw_frame(False)           # don't draw the legend frame
    
    # save figure    
    ofn = '/home/haines/rayleigh/img/meet/meet_flow_' + yyyy_mm_str + '.png'
    print '... ... write: %s' % (ofn,)
    savefig(ofn)


    #######################################
    # Last 30 days
    #######################################
    if plot_type=='latest':
        print ' ... Last 30 days'
        for idx, ax in enumerate(axs):
            ax.set_xlim(date2num(dt[-1])-30, date2num(dt[-1]))
            ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) )
            ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) )
            ax.set_xticklabels([])
            if idx==0:
                ax.set_xlabel('MEET Stream Flow -- Last 30 days from ' + last_dt_str)
            elif idx==len(axs)-1:
                ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
                ax.set_xlabel('MEET Stream Flow -- Last 30 days from ' + last_dt_str)

        savefig('/home/haines/rayleigh/img/meet_flow_last30days.png')


    #######################################
    # Last 7 days
    #######################################
    if plot_type=='latest':
        print ' ... Last 7 days'
        for idx, ax in enumerate(axs):
            ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1]))
            ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) )
            ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) )
            ax.set_xticklabels([])
            if idx==0:
                ax.set_xlabel('MEET Stream Flow -- Last 7 days from ' + last_dt_str)
            elif idx==len(axs)-1:
                ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
                ax.set_xlabel('MEET Stream Flow -- Last 7 days from ' + last_dt_str)
                
        savefig('/home/haines/rayleigh/img/meet_flow_last07days.png')


    #######################################
    # Last 1 day (24hrs)
    #######################################
    if plot_type=='latest':
        print ' ... Last 1 days'

        for idx, ax in enumerate(axs):
            ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1]))
            ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) )
            ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) )
            ax.set_xticklabels([])
            if idx==0:
                ax.set_xlabel('MEET  Stream Flow -- Last 24 hours from ' + last_dt_str)
            elif idx==len(axs)-1:
                ax.xaxis.set_major_formatter( DateFormatter('%H') )
                ax.set_xlabel('MEET  Stream Flow -- Last 24 hours from ' + last_dt_str)

        savefig('/home/haines/rayleigh/img/meet_flow_last01days.png')