ax.set_ylim(-4.0, 0.0)
# ax.set_xlim(dt[0], dt[-1]) # first to last regardless of what
ax.set_xlim(date2num(dt[-1]) - 30, date2num(dt[-1])) # last minus 30 days to last
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("Stones Bay AVP -- Last 30 days from " + last_dt_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 (ft)")
# 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
def wind_barbs(pi, si, yyyy_mm, plot_type='latest'):
print 'billymitchell_arrows_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/level2/billymitchell/sodar1/billymitchell_sfas_'+prev_month.strftime('%Y_%m')+'.nc'
ncFile2='/seacoos/data/nccoos/level2/billymitchell/sodar1/billymitchell_sfas_'+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:
try:
nc = pycdf.CDFMF((ncFile1, ncFile2))
except: # files may have different dimensions
nc = pycdf.CDFMF((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 level2 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
################################
z = nc.var('z')[:]
# convert cm/s to m/s
uu = nc.var('u')[:]
vv = nc.var('v')[:]
ww = nc.var('w')[:]
sigw = nc.var('sigw')[:]
echo = nc.var('bck')[:]
nc.close()
# retain original dt for addnan
dto = dt
# 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, 10))
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(1,1,1)
axs = [ax]
# range for horizontal wind plots
# cmin, cmax = (0., 20.)
# print "%s : %g %g" % ('uv wind', cmin, cmax)
# use masked array to hide NaN's on plot
(dt, uu) = procutil.addnan(dto, uu)
dn = date2num(dt)
um = numpy.ma.masked_where(numpy.isnan(uu), uu)
(dt, vv) = procutil.addnan(dto, vv)
vm = numpy.ma.masked_where(numpy.isnan(vv), vv)
wspd = numpy.sqrt(um*um + vm*vm)
X,Y = numpy.meshgrid(dn, z)
q1 = ax.barbs(X, Y, um.T, vm.T, wspd.T)
# qk = ax.quiverkey(q1, 0.1, 0.8, 20, r'20 m s-1')
ax.set_ylabel('Height (m)')
# setup colorbar axes instance.
l,b,w,h = ax.get_position().bounds
cax = fig.add_axes([l+0.02, b+h-0.06, 0.25*w, 0.03])
cb = colorbar(q1, cax=cax, orientation='horizontal') # draw colorbar
cb.set_label('Wind Velocity (m s-1)')
# lost control of colorbar ... ???
#
# cb.ax.xaxis.set_label_position('top')
# cb.ax.set_xticks([0.0, 0.5, 1.0])
# xtl = numpy.round(numpy.linspace(cmin, cmax, 11), decimals=0)
# cb.ax.set_xticklabels([xtl[0], xtl[5], xtl[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([])
# this only moves the label not the tick labels
ax.xaxis.set_label_position('bottom')
ax.set_xlabel('BILLY MITCHELL Wind Profile -- ' + 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('Height (ft)')
#######################################
# 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('BILLY MITCHELL Wind Profile -- Last 24 hours from ' + last_dt_str)
if idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%H') )
ax.set_xlabel('BILLY MITCHELL Wind Profile -- Last 24 hours from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/billymitchell_windbarbs_last01days.png')
def timeseries(pi, si, yyyy_mm, plot_type='latest'):
"""
"""
print 'bogue_adcp_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/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
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
################################
z = nc.var('z')[:]
wd = nc.var('wd')[:]
wl = nc.var('wl')[:]
# en = nc.var('en')[:]
u = nc.var('u')[:]
v = nc.var('v')[:]
e1 = nc.var('e1')[:]
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
#######################################
# range for pcolor plots
cmin, cmax = (-0.5, 0.5)
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]
# replace gaps in time with NaN
(x, y) = procutil.addnan(dt, u, maxdelta=2./24)
dnx = date2num(x)
# use masked array to hide NaN's on plot
um = numpy.ma.masked_where(numpy.isnan(y), y)
pc = ax.pcolor(dnx, z, um.T, vmin=cmin, vmax=cmax)
pc.set_label('True Eastward Current (m s-1)')
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes)
# setup colorbar axes instance
l,b,w,h = ax.get_position().bounds
cax = fig.add_axes([l, b+h+0.04, 0.25*w, 0.03])
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar
cb.set_label('Current Velocity (m s-1)')
cb.ax.xaxis.set_label_position('top')
cb.ax.set_xticks([0.1, 0.3, 0.5, 0.7, 0.9])
cb.ax.set_xticklabels([-0.4, -0.2, 0, 0.2, 0.4])
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, wl, maxdelta=2./24)
l1, = ax.plot_date(x, y, fmt='k-')
l1.set_label('Water Level')
ax.set_ylabel('Depth (m)')
ax.set_ylim(-10., 2.)
# 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 Current Profile -- ' + 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 (ft)')
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)
# replace gaps in time with NaN
(x, y) = procutil.addnan(dt, v, maxdelta=2./24)
dnx = date2num(x)
# use masked array to hide NaN's on plot
vm = numpy.ma.masked_where(numpy.isnan(y), y)
# (x, y) = procutil.addnan(dt, vm, maxdelta=2./24)
pc = ax.pcolor(dnx, z, vm.T, vmin=cmin, vmax=cmax)
pc.set_label('True Northward Current (m s-1)')
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes)
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, wl, maxdelta=2./24)
l1, = ax.plot_date(x, y, fmt='k-')
l1.set_label('Water Level')
ax.set_ylabel('Depth (m)')
ax.set_ylim(-10.,2.)
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)) )
# 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 (ft)')
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)) )
# 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(4,1,3)
axs.append(ax)
# replace gaps in time with NaN
(x, y) = procutil.addnan(dt, e1, maxdelta=2./24)
dnx = date2num(x)
# use masked array to hide NaN's on plot
vm = numpy.ma.masked_where(numpy.isnan(y), y)
# (x, y) = procutil.addnan(dt, vm, maxdelta=2./24)
pc = ax.pcolor(dnx, z, vm.T, vmin=0., vmax=150.)
pc.set_label('Amplitude Beam 1 (count)')
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes)
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, wl, maxdelta=2./24)
l1, = ax.plot_date(x, y, fmt='k-')
l1.set_label('Water Level')
ax.set_ylabel('Depth (m)')
ax.set_ylim(-10.,2.)
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 Current Profile -- ' + 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 (ft)')
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.xaxis.set_major_formatter( DateFormatter('%m/%d') )
# 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 for this month
ofn = '/home/haines/rayleigh/img/bogue/bogue_adcp_'+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 Current Profiles -- Last 30 days from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('BOGUE Current Profiles -- Last 30 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/bogue_adcp_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 Current Profiles -- Last 7 days from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('BOGUE Current Profiles -- Last 7 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/bogue_adcp_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 Current Profiles -- Last 24 hours from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%H') )
ax.set_xlabel('BOGUE Current Profiles -- Last 24 hours from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/bogue_adcp_last01days.png')
def timeseries(pi, si, yyyy_mm, plot_type='latest'):
print 'billymitchell_sodar1_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/level2/billymitchell/sodar1/billymitchell_sfas_'+prev_month.strftime('%Y_%m')+'.nc'
ncFile2='/seacoos/data/nccoos/level2/billymitchell/sodar1/billymitchell_sfas_'+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:
try:
nc = pycdf.CDFMF((ncFile1, ncFile2))
except: # files may have different dimensions
nc = pycdf.CDFMF((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 level2 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
################################
z = nc.var('z')[:]
# convert cm/s to m/s
uu = nc.var('u')[:]
vv = nc.var('v')[:]
ww = nc.var('w')[:]
sigw = nc.var('sigw')[:]
echo = nc.var('bck')[:]
nc.close()
# retain original dt for addnan
dto = dt
# 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, 10))
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(5,1,1)
axs = [ax]
# range for horizontal wind plots
cmin, cmax = (-20., 20.)
# print "%s : %g %g" % ('uv wind', cmin, cmax)
# use masked array to hide NaN's on plot
(dt, uu) = procutil.addnan(dto, uu)
dn = date2num(dt)
um = numpy.ma.masked_where(numpy.isnan(uu), uu)
pc = ax.pcolor(dn, z, um.T, vmin=cmin, vmax=cmax)
pc.set_label('True Eastward Wind (m s-1)')
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes)
ax.set_ylabel('Height (m)')
# setup colorbar axes instance.
l,b,w,h = ax.get_position().bounds
cax = fig.add_axes([l, b+h+0.04, 0.25*w, 0.03])
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar
cb.set_label('Wind Velocity (m s-1)')
cb.ax.xaxis.set_label_position('top')
cb.ax.set_xticks([0.1, 0.3, 0.5, 0.7, 0.9])
xtl = numpy.round(numpy.linspace(cmin, cmax, 10), decimals=0)
cb.ax.set_xticklabels([xtl[1], xtl[3], xtl[5], xtl[7], xtl[9]])
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('BILLY MITCHELL SODAR -- ' + 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('Height (ft)')
#######################################
#
ax = fig.add_subplot(5,1,2)
axs.append(ax)
# use masked array to hide NaN's on plot
(dt, vv) = procutil.addnan(dto, vv)
dn = date2num(dt)
vm = numpy.ma.masked_where(numpy.isnan(vv), vv)
pc = ax.pcolor(dn, z, vm.T, vmin=cmin, vmax=cmax)
pc.set_label('True Northward Wind (m s-1)')
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes)
ax.set_ylabel('Height (m)')
# ax.set_xlim(date2num(dt[0]), date2num(dt[-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) meters to (rhs) feet
feet = [procutil.meters2feet(val) for val in ax.get_ylim()]
ax2.set_ylim(feet)
ax2.set_ylabel('Height (ft)')
#######################################
#
ax = fig.add_subplot(5,1,3)
axs.append(ax)
# range for horizontal wind plots
cmin, cmax = (-2., 2.)
# print "%s : %g %g" % ('w wind', cmin, cmax)
# use masked array to hide NaN's on plot
(dt, ww) = procutil.addnan(dto, ww)
dn = date2num(dt)
wm = numpy.ma.masked_where(numpy.isnan(ww), ww)
pc = ax.pcolor(dn, z, wm.T, vmin=cmin, vmax=cmax)
ax.set_ylabel('Height (m)')
# setup colorbar axes instance.
l,b,w,h = ax.get_position().bounds
cax = fig.add_axes([l+0.04, b+h-0.06, 0.25*w, 0.03])
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar
cb.set_label('Upward Wind Velocity (m s-1)')
cb.ax.xaxis.set_label_position('top')
cb.ax.set_xticks([0.1, 0.3, 0.5, 0.7, 0.9])
xtl = numpy.round(numpy.linspace(cmin, cmax, 10), decimals=0)
cb.ax.set_xticklabels([xtl[1], xtl[3], xtl[5], xtl[7], xtl[9]])
# ax.set_xlim(date2num(dt[0]), date2num(dt[-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) meters to (rhs) feet
feet = [procutil.meters2feet(val) for val in ax.get_ylim()]
ax2.set_ylim(feet)
ax2.set_ylabel('Height (ft)')
#######################################
#
ax = fig.add_subplot(5,1,4)
axs.append(ax)
cmin, cmax = (0., 2.)
# print "%s : %g %g" % ('sigw', cmin, cmax)
# use masked array to hide NaN's on plot
(dt, sigw) = procutil.addnan(dto, sigw)
dn = date2num(dt)
sm = numpy.ma.masked_where(numpy.isnan(sigw), sigw)
pc = ax.pcolor(dn, z, sm.T, vmin=cmin, vmax=cmax)
ax.set_ylabel('Height (m)')
# setup colorbar axes instance.
l,b,w,h = ax.get_position().bounds
cax = fig.add_axes([l+0.04, b+h-0.06, 0.25*w, 0.03])
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar
cb.set_label('Std. Dev. of Vertical Wind (m s-1)')
cb.ax.xaxis.set_label_position('top')
cb.ax.set_xticks([0.0, 0.2, 0.4, 0.6, 0.8])
xtl = numpy.round(numpy.linspace(cmin, cmax, 10), decimals=1)
cb.ax.set_xticklabels([xtl[0], xtl[2], xtl[4], xtl[6], xtl[8]])
# ax.set_xlim(date2num(dt[0]), date2num(dt[-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) meters to (rhs) feet
feet = [procutil.meters2feet(val) for val in ax.get_ylim()]
ax2.set_ylim(feet)
ax2.set_ylabel('Height (ft)')
#######################################
#
ax = fig.add_subplot(5,1,5)
axs.append(ax)
# cmin, cmax = (0., 1000.)
cmin, cmax = (2., 6.)
# print "%s : %g %g" % ('echo', cmin, cmax)
# use masked array to hide NaN's on plot
(dt, echo) = procutil.addnan(dto, numpy.log10(echo))
dn = date2num(dt)
em = numpy.ma.masked_where(numpy.isnan(echo), echo)
pc = ax.pcolor(dn, z, em.T, vmin=cmin, vmax=cmax)
ax.set_ylabel('Height (m)')
# setup colorbar axes instance.
l,b,w,h = ax.get_position().bounds
cax = fig.add_axes([l+0.04, b+h-0.06, 0.25*w, 0.03])
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar
cb.set_label('log10 Backscatter')
cb.ax.xaxis.set_label_position('top')
cb.ax.set_xticks([0.0, 1.0])
xtl = numpy.round(numpy.linspace(cmin, cmax, 10), decimals=0)
cb.ax.set_xticklabels([str(cmin), str(cmax)])
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) meters to (rhs) feet
feet = [procutil.meters2feet(val) for val in ax.get_ylim()]
ax2.set_ylim(feet)
ax2.set_ylabel('Height (ft)')
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('BILLY MITCHELL SODAR -- ' + yyyy_mm_str)
# save figure
# save figure for this month
ofn = '/home/haines/rayleigh/img/billymitchell/billymitchell_sodar1_'+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('BILLY MITCHELL SODAR -- Last 30 days from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 30 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/billymitchell_sodar1_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('BILLY MITCHELL SODAR -- Last 7 days from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 7 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/billymitchell_sodar1_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('BILLY MITCHELL SODAR -- Last 24 hours from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%H') )
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 24 hours from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/billymitchell_sodar1_last01days.png')
def allwaves(pi, si, yyyy_mm, plot_type='latest'):
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
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_allwaves_'+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 All 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 All Waves -- Last 30 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/bogue_allwaves_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 All 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 All Waves -- Last 7 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/bogue_allwaves_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 All Waves -- Last 24 hours from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%H') )
ax.set_xlabel('BOGUE All Waves -- Last 24 hours from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/bogue_allwaves_last01days.png')