"""

"""

print 'bogue_swellwaves_plot ...'

#

prev_month, this_month, next_month = procutil.find_months(yyyy_mm)

yyyy_mm_str = this_month.strftime('%Y_%m')

################################

# [2a] load primary data file

################################

ncFile1='/seacoos/data/nccoos/level1/bogue/adcpwaves/bogue_adcpwaves_'+prev_month.strftime('%Y_%m')+'.nc'

ncFile2='/seacoos/data/nccoos/level1/bogue/adcpwaves/bogue_adcpwaves_'+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)

################################

# [2b] specify variables

################################

Hss = nc.var('Hs_swell')[:]

Tps = nc.var('Tp_swell')[:]

Tms = nc.var('Tm_swell')[:]

# Hmax = nc.var('Hmax')[:]

Dps = nc.var('Dp_swell')[:]

Dms = nc.var('Dm_swell')[:]

nc.close()

################################

# [3a] load ancillary files if needed

################################

ncFile1='/seacoos/data/nccoos/level1/bogue/adcp/bogue_adcp_'+prev_month.strftime('%Y_%m')+'.nc'

ncFile2='/seacoos/data/nccoos/level1/bogue/adcp/bogue_adcp_'+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)

################################

# [3b] specify variables

################################

wd2 = nc.var('wd')[:]

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 setup

#######################################

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, wd2, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Water Depth (m)')

ax.set_ylabel('Depth (m)')

# ax.set_ylim(2.,10.)

# ax.set_xlim(dt[0], dt[-1]) # first to last regardless of what

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.set_xticklabels([])

# this only moves the label not the tick labels

ax.xaxis.set_label_position('top')

ax.set_xlabel('BOGUE Swell Waves -- ' + yyyy_mm_str)

# right-hand side scale

ax2 = twinx(ax)

ax2.yaxis.tick_right()

# convert (lhs) meters to (rhs) feet

feet = [procutil.meters2feet(val) for val in ax.get_ylim()]

ax2.set_ylim(feet)

ax2.set_ylabel('Depth (feet)')

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()

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(dt, Hss, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Significant Swell Wave Height (Hss)')

# (x, y) = procutil.addnan(dt, Hmax, maxdelta=2./24)

# l2, = ax.plot_date(x, y, fmt='g-')

# l2.set_label('Max Wave Height (Hmax)')

ax.set_ylabel('WAVE\nHEIGHT (m)')

# ax.set_ylim(2.,10.)

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.set_xticklabels([])

# right-hand side scale

ax2 = twinx(ax)

ax2.yaxis.tick_right()

# convert (lhs) meters to (rhs) feet

feet = [procutil.meters2feet(val) for val in ax.get_ylim()]

ax2.set_ylim(feet)

ax2.set_ylabel('(feet)')

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()

# ls2 = l2.get_label()

# leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left')

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(dt, Tps, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Peak Swell Period (Tp)')

(x, y) = procutil.addnan(dt, Tms, maxdelta=2./24)

l2, = ax.plot_date(x, y, fmt='c-')

l2.set_label('Mean Swell Period (Tm)')

ax.set_ylabel('WAVE\nPERIOD (s)')

# ax.set_ylim(2.,10.)

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.set_xticklabels([])

# legend

ls1 = l1.get_label()

ls2 = l2.get_label()

leg = ax.legend((l1,l2), (ls1,ls2), 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, Dps, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Peak Swell Direction (Dp)')

(x, y) = procutil.addnan(dt, Dms, maxdelta=2./24)

l2, = ax.plot_date(x, y, fmt='c-')

l2.set_label('Mean Swell Direction (Dp)')

ax.set_ylabel('WAVE\nDIR (deg N)')

ax.set_ylim(0.,360.)

# first to last regardless of what

# ax.set_xlim(dt[0], dt[-1])

# last minus 30 days,

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('BOGUE Swell Waves -- ' + yyyy_mm_str)

# legend

ls1 = l1.get_label()

ls2 = l2.get_label()

leg = ax.legend((l1,l2), (ls1,ls2), 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 for this month

ofn = '/home/haines/rayleigh/img/bogue/bogue_swellwaves_'+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('BOGUE Swell Waves -- Last 30 days from ' + last_dt_str)

elif idx==len(axs)-1:

ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )

ax.set_xlabel('BOGUE Swell Waves -- Last 30 days from ' + last_dt_str)

savefig('/home/haines/rayleigh/img/bogue_swellwaves_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('BOGUE Swell Waves -- Last 7 days from ' + last_dt_str)

elif idx==len(axs)-1:

ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )

ax.set_xlabel('BOGUE Swell Waves -- Last 7 days from ' + last_dt_str)

savefig('/home/haines/rayleigh/img/bogue_swellwaves_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('BOGUE Swell Waves -- Last 24 hours from ' + last_dt_str)

elif idx==len(axs)-1:

ax.xaxis.set_major_formatter( DateFormatter('%H') )

ax.set_xlabel('BOGUE Swell Waves -- Last 24 hours from ' + last_dt_str)

"""

"""

print 'bogue_windwaves_plot ...'

#

prev_month, this_month, next_month = procutil.find_months(yyyy_mm)

yyyy_mm_str = this_month.strftime('%Y_%m')

################################

# [2a] load primary data file

################################

ncFile1='/seacoos/data/nccoos/level1/bogue/adcpwaves/bogue_adcpwaves_'+prev_month.strftime('%Y_%m')+'.nc'

ncFile2='/seacoos/data/nccoos/level1/bogue/adcpwaves/bogue_adcpwaves_'+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)

################################

# [2b] specify variables

################################

Hsw = nc.var('Hs_wind')[:]

Tpw = nc.var('Tp_wind')[:]

Tmw = nc.var('Tm_wind')[:]

# Hmax = nc.var('Hmax')[:]

Dpw = nc.var('Dp_wind')[:]

Dmw = nc.var('Dm_wind')[:]

nc.close()

################################

# [3a] load ancillary files if needed

################################

ncFile1='/seacoos/data/nccoos/level1/bogue/adcp/bogue_adcp_'+prev_month.strftime('%Y_%m')+'.nc'

ncFile2='/seacoos/data/nccoos/level1/bogue/adcp/bogue_adcp_'+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)

################################

# [3b] specify variables

################################

wd2 = nc.var('wd')[:]

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 setup

#######################################

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, wd2, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Water Depth (m)')

ax.set_ylabel('Depth (m)')

# ax.set_ylim(2.,10.)

# ax.set_xlim(dt[0], dt[-1]) # first to last regardless of what

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.set_xticklabels([])

# this only moves the label not the tick labels

ax.xaxis.set_label_position('top')

ax.set_xlabel('BOGUE Wind Waves -- ' + yyyy_mm_str)

# right-hand side scale

ax2 = twinx(ax)

ax2.yaxis.tick_right()

# convert (lhs) meters to (rhs) feet

feet = [procutil.meters2feet(val) for val in ax.get_ylim()]

ax2.set_ylim(feet)

ax2.set_ylabel('Depth (feet)')

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()

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(dt, Hsw, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Significant Wind Wave Height (Hss)')

# (x, y) = procutil.addnan(dt, Hmax, maxdelta=2./24)

# l2, = ax.plot_date(x, y, fmt='g-')

# l2.set_label('Max Wave Height (Hmax)')

ax.set_ylabel('WAVE\nHEIGHT (m)')

# ax.set_ylim(2.,10.)

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.set_xticklabels([])

# right-hand side scale

ax2 = twinx(ax)

ax2.yaxis.tick_right()

# convert (lhs) meters to (rhs) feet

feet = [procutil.meters2feet(val) for val in ax.get_ylim()]

ax2.set_ylim(feet)

ax2.set_ylabel('(feet)')

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()

# ls2 = l2.get_label()

# leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left')

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(dt, Tpw, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Peak Wind Period (Tp)')

(x, y) = procutil.addnan(dt, Tmw, maxdelta=2./24)

l2, = ax.plot_date(x, y, fmt='c-')

l2.set_label('Mean Wind Period (Tm)')

ax.set_ylabel('WAVE\nPERIOD (s)')

# ax.set_ylim(2.,10.)

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.set_xticklabels([])

# legend

ls1 = l1.get_label()

ls2 = l2.get_label()

leg = ax.legend((l1,l2), (ls1,ls2), 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, Dpw, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Peak Wind Direction (Dp)')

(x, y) = procutil.addnan(dt, Dmw, maxdelta=2./24)

l2, = ax.plot_date(x, y, fmt='c-')

l2.set_label('Mean Wind Direction (Dp)')

ax.set_ylabel('WAVE\nDIR (deg N)')

ax.set_ylim(0.,360.)

# first to last regardless of what

# ax.set_xlim(dt[0], dt[-1])

# last minus 30 days,

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('BOGUE Wind Waves -- ' + yyyy_mm_str)

# legend

ls1 = l1.get_label()

ls2 = l2.get_label()

leg = ax.legend((l1,l2), (ls1,ls2), 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 for this month

ofn = '/home/haines/rayleigh/img/bogue/bogue_windwaves_'+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('BOGUE Wind Waves -- Last 30 days from ' + last_dt_str)

elif idx==len(axs)-1:

ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )

ax.set_xlabel('BOGUE Wind Waves -- Last 30 days from ' + last_dt_str)

savefig('/home/haines/rayleigh/img/bogue_windwaves_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('BOGUE Wind Waves -- Last 7 days from ' + last_dt_str)

elif idx==len(axs)-1:

ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )

ax.set_xlabel('BOGUE Wind Waves -- Last 7 days from ' + last_dt_str)

savefig('/home/haines/rayleigh/img/bogue_windwaves_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('BOGUE Wind Waves -- Last 24 hours from ' + last_dt_str)

elif idx==len(axs)-1:

ax.xaxis.set_major_formatter( DateFormatter('%H') )

ax.set_xlabel('BOGUE Wind Waves -- Last 24 hours from ' + last_dt_str)

print 'bogue_allwaves_plot ...'

prev_month, this_month, next_month = procutil.find_months(yyyy_mm)

yyyy_mm_str = this_month.strftime('%Y_%m')

################################

# [2a] load primary data file

################################

ncFile1='/seacoos/data/nccoos/level1/bogue/adcpwaves/bogue_adcpwaves_'+prev_month.strftime('%Y_%m')+'.nc'

ncFile2='/seacoos/data/nccoos/level1/bogue/adcpwaves/bogue_adcpwaves_'+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)

################################

# [2b] specify variables

################################

Hs = nc.var('Hs')[:]

Tp = nc.var('Tp')[:]

Tm = nc.var('Tm')[:]

# Hmax = nc.var('Hmax')[:]

Dp = nc.var('Dp')[:]

Dm = nc.var('Dm')[:]

nc.close()

################################

# [3a] load ancillary files if needed

################################

ncFile1='/seacoos/data/nccoos/level1/bogue/adcp/bogue_adcp_'+prev_month.strftime('%Y_%m')+'.nc'

ncFile2='/seacoos/data/nccoos/level1/bogue/adcp/bogue_adcp_'+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)

################################

# [3b] specify variables

################################

wd2 = nc.var('wd')[:]

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 setup

#######################################

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, wd2, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Water Depth (m)')

ax.set_ylabel('Depth (m)')

# ax.set_ylim(2.,10.)

# ax.set_xlim(dt[0], dt[-1]) # first to last regardless of what

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.set_xticklabels([])

# this only moves the label not the tick labels

ax.xaxis.set_label_position('top')

ax.set_xlabel('BOGUE Wind Waves -- ' + yyyy_mm_str)

# right-hand side scale

ax2 = twinx(ax)

ax2.yaxis.tick_right()

# convert (lhs) meters to (rhs) feet

feet = [procutil.meters2feet(val) for val in ax.get_ylim()]

ax2.set_ylim(feet)

ax2.set_ylabel('Depth (feet)')

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()

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(dt, Hs, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Significant Wave Height (Hs)')

# (x, y) = procutil.addnan(dt, Hmax, maxdelta=2./24)

# l2, = ax.plot_date(x, y, fmt='g-')

# l2.set_label('Max Wave Height (Hmax)')

ax.set_ylabel('WAVE\nHEIGHT (m)')

# ax.set_ylim(2.,10.)

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.set_xticklabels([])

# right-hand side scale

ax2 = twinx(ax)

ax2.yaxis.tick_right()

# convert (lhs) meters to (rhs) feet

feet = [procutil.meters2feet(val) for val in ax.get_ylim()]

ax2.set_ylim(feet)

ax2.set_ylabel('(feet)')

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()

# ls2 = l2.get_label()

# leg = ax.legend((l1,l2), (ls1,ls2), loc='upper left')

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(dt, Tp, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Peak Period (Tp)')

(x, y) = procutil.addnan(dt, Tm, maxdelta=2./24)

l2, = ax.plot_date(x, y, fmt='c-')

l2.set_label('Mean Period (Tm)')

ax.set_ylabel('WAVE\nPERIOD (s)')

# ax.set_ylim(2.,10.)

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.set_xticklabels([])

# legend

ls1 = l1.get_label()

ls2 = l2.get_label()

leg = ax.legend((l1,l2), (ls1,ls2), 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, Dp, maxdelta=2./24)

l1, = ax.plot_date(x, y, fmt='b-')

l1.set_label('Peak Direction (Dp)')

(x, y) = procutil.addnan(dt, Dm, maxdelta=2./24)

l2, = ax.plot_date(x, y, fmt='c-')

l2.set_label('Mean Direction (Dp)')

ax.set_ylabel('WAVE\nDIR (deg N)')

ax.set_ylim(0.,360.)

# first to last regardless of what

# ax.set_xlim(dt[0], dt[-1])

# last minus 30 days,

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('BOGUE Waves -- ' + yyyy_mm_str)

# legend