def timeseries(pi, si, yyyy_mm, plot_type="latest"):
"""
"""
print "plot_cr1000_ctd ..."
img_dir = "/home/haines/rayleigh/img"
prev_month, this_month, next_month = procutil.find_months(yyyy_mm)
yyyy_mm_str = this_month.strftime("%Y_%m")
fn = "_".join([pi["id"], si["id"], prev_month.strftime("%Y_%m") + ".nc"])
ncFile1 = os.path.join(si["proc_dir"], fn)
fn = "_".join([pi["id"], si["id"], this_month.strftime("%Y_%m") + ".nc"])
ncFile2 = os.path.join(si["proc_dir"], fn)
# 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)
cond = nc.var("cond")[:]
wtemp = nc.var("wtemp")[:]
press = nc.var("press")[:]
depth = nc.var("depth")[:]
salin = nc.var("salin")[:]
density = nc.var("density")[:]
# 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")
#######################################
# Build Plot
#######################################
fig = figure(figsize=(10, 9))
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(6, 1, 1)
axs = [ax]
(x, y) = procutil.addnan(dt, depth)
# ax.plot returns a list of lines, so unpack tuple
l1, = ax.plot_date(x, y, fmt="b-")
l1.set_label("Depth from pressure")
ax.set_ylabel("Depth\n (m)")
# right-hand side scale
ax2 = twinx(ax)
ax2.yaxis.tick_right()
f = [procutil.udconvert(val, "meter", "foot")[0] for val in ax.get_ylim()]
ax2.set_ylim(f)
ax2.set_ylabel("(ft)")
# this only moves the label not the tick labels
ax.xaxis.set_label_position("top")
# 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(6, 1, 2)
axs.append(ax)
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, wtemp)
l1, = ax.plot_date(x, y, fmt="b-")
l1.set_label("Water Temperature")
ax.set_ylabel("Temp \n (deg C)")
# ax.set_ylim(0,10)
# right-hand side scale
ax2 = twinx(ax)
ax2.yaxis.tick_right()
# convert (lhs) deg C to (rhs) deg F
f = [procutil.udconvert(val, "degreeC", "degreeF")[0] for val in ax.get_ylim()]
ax2.set_ylim(f)
ax2.set_ylabel("(deg F)")
# 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(6,1,3)
# axs.append(ax)
# ax.plot returns a list of lines, so unpack tuple
# (x, y) = procutil.addnan(dt, cond)
# l1, = ax.plot_date(x, y, fmt='b-')
# l1.set_label('Conductivity')
# ax.set_ylabel('Conductivity\n (S/m)')
# ax.set_ylim(20,120)
# right-hand side scale
# ax2 = twinx(ax)
# ax2.yaxis.tick_right()
# f = [procutil.udconvert(val, 'S m-1', 'mS cm-1')[0] for val in ax.get_ylim()]
# ax2.set_ylim(f)
# ax2.set_ylabel('(mS/cm)')
# 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(6, 1, 3)
axs.append(ax)
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, salin)
l1, = ax.plot_date(x, y, fmt="b-")
l1.set_label("Salinity")
ax.set_ylabel("Salinity\n (psu)")
# ax.set_ylim(6, 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(6, 1, 4)
axs.append(ax)
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, density)
l1, = ax.plot_date(x, y, fmt="b-")
l1.set_label("Density")
ax.set_ylabel("Density (kg m-3)")
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
ax.yaxis.set_major_locator(MultipleLocator(1))
ax.yaxis.set_major_formatter(FormatStrFormatter("%d"))
# ax.set_ylim(0,100)
# right-hand side scale
ax2 = twinx(ax)
ax2.yaxis.tick_right()
f = [procutil.udconvert(val, "kg m-3", "lb ft-3")[0] for val in ax.get_ylim()]
ax2.set_ylim(f)
ax2.set_ylabel("(lb ft-3)")
# 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
#######################################
# YYYY_MM
#######################################
title_str = " ".join([pi["id"].upper(), si["description"]])
if plot_type == "latest" or plot_type == "monthly":
print " ... : %s" % (yyyy_mm_str,)
# save figure for this month
for idx, ax in enumerate(axs):
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([])
if idx == 0:
ax.set_xlabel(title_str + " -- " + yyyy_mm_str)
elif idx == len(axs) - 1:
ax.xaxis.set_major_formatter(DateFormatter("%m/%d"))
ax.set_xlabel(title_str + " -- " + yyyy_mm_str)
fn = "_".join([pi["id"], si["id"], yyyy_mm_str + ".png"])
ofn = os.path.join(img_dir, pi["id"], fn) # /home/haines/rayleigh/img/meet
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(title_str + " -- Last 30 days from " + last_dt_str)
elif idx == len(axs) - 1:
ax.xaxis.set_major_formatter(DateFormatter("%m/%d"))
ax.set_xlabel(title_str + " -- Last 30 days from " + last_dt_str)
fn = "_".join([pi["id"], si["id"], "last30days.png"])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img/
savefig(ofn)
#######################################
# 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(title_str + " -- Last 7 days from " + last_dt_str)
elif idx == len(axs) - 1:
ax.xaxis.set_major_formatter(DateFormatter("%m/%d"))
ax.set_xlabel(title_str + " -- Last 7 days from " + last_dt_str)
fn = "_".join([pi["id"], si["id"], "last07days.png"])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img
savefig(ofn)
#######################################
# 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(title_str + " -- Last 24 hours from " + last_dt_str)
elif idx == len(axs) - 1:
ax.xaxis.set_major_formatter(DateFormatter("%H"))
ax.set_xlabel(title_str + " -- Last 24 hours from " + last_dt_str)
fn = "_".join([pi["id"], si["id"], "last01days.png"])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img
savefig(ofn)
def timeseries(pi, si, yyyy_mm, plot_type='latest'):
"""
"""
print 'plot_cr1000_met ...'
img_dir = '/home/haines/rayleigh/img'
prev_month, this_month, next_month = procutil.find_months(yyyy_mm)
yyyy_mm_str = this_month.strftime('%Y_%m')
fn = '_'.join([pi['id'], si['id'], prev_month.strftime('%Y_%m')+'.nc'])
ncFile1= os.path.join(si['proc_dir'], fn)
fn = '_'.join([pi['id'], si['id'], this_month.strftime('%Y_%m')+'.nc'])
ncFile2= os.path.join(si['proc_dir'], fn)
# 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)
# 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")
#######################################
# Build Plot
#######################################
fig = figure(figsize=(10, 9))
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(6,1,1)
axs = [ax]
vn = 'air_press'
(x, y) = procutil.addnan(dt, nc.var(vn)[:])
ibad = y <= -6999.
y[ibad] = numpy.nan
# ax.plot returns a list of lines, so unpack tuple
l1, = ax.plot_date(x, y, fmt='b-')
l1.set_label('Barometric Pressure')
ax.set_ylabel('Pressure\n (mbar)')
# right-hand side scale
ax2 = twinx(ax)
ax2.yaxis.tick_right()
f = [procutil.udconvert(val, 'mbar', 'inch_Hg')[0] for val in ax.get_ylim()]
ax2.set_ylim(f)
ax2.set_ylabel('(in Hg)')
# this only moves the label not the tick labels
ax.xaxis.set_label_position('top')
# 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(6,1,2)
axs.append(ax)
vn = 'air_temp'
yo = nc.var(vn)[:]
vn = 'air_temp_std'
yy=nc.var(vn)[:]
(x, y1) = procutil.addnan(dt, yo+yy)
(x, y2) = procutil.addnan(dt, yo-yy)
l2, = ax.plot_date(x, y1, fmt='c-', alpha=0.5)
l2, = ax.plot_date(x, y2, fmt='c-', alpha=0.5)
l2.set_label('Std Dev')
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, yo)
l1, = ax.plot_date(x, y, fmt='b-')
l1.set_label('Air Temperature')
ax.set_ylabel('Temp \n (deg C)')
# ax.set_ylim(0,10)
# right-hand side scale
ax2 = twinx(ax)
ax2.yaxis.tick_right()
# convert (lhs) deg C to (rhs) deg F
f = [procutil.udconvert(val, 'degreeC', 'degreeF')[0] for val in ax.get_ylim()]
ax2.set_ylim(f)
ax2.set_ylabel('(deg F)')
# 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(6,1,3)
axs.append(ax)
vn = 'rh'
yo = nc.var(vn)[:]
vn = 'rh_std'
yy=nc.var(vn)[:]
(x, y1) = procutil.addnan(dt, yo+yy)
(x, y2) = procutil.addnan(dt, yo-yy)
l2, = ax.plot_date(x, y1, fmt='c-', alpha=0.5)
l2, = ax.plot_date(x, y2, fmt='c-', alpha=0.5)
l2.set_label('Std Dev')
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, yo)
l1, = ax.plot_date(x, y, fmt='b-')
l1.set_label('Relative Humidity (%)')
ax.set_ylabel('RHUM (%)')
# ax.set_ylim(20,120)
# 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(6,1,4)
axs.append(ax)
vn = 'rain'
yo = nc.var(vn)[:]
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, yo)
l1, = ax.plot_date(x, y, fmt='b-')
l1.set_label('Precipitation')
ax.set_ylabel('Rain (mm)')
# ax.set_ylim(6, 12)
# right-hand side scale
ax2 = twinx(ax)
ax2.yaxis.tick_right()
f = [procutil.udconvert(val, 'mm', 'inch')[0] for val in ax.get_ylim()]
ax2.set_ylim(f)
ax2.set_ylabel('Rain (in)')
# 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(6,1,5)
axs.append(ax)
vn = 'psp'
yo = nc.var(vn)[:]
vn = 'psp_std'
yy=nc.var(vn)[:]
(x, y1) = procutil.addnan(dt, yo+yy)
(x, y2) = procutil.addnan(dt, yo-yy)
l2, = ax.plot_date(x, y1, fmt='c-', alpha=0.5)
l2, = ax.plot_date(x, y2, fmt='c-', alpha=0.5)
l2.set_label('Std Dev')
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, yo)
l1, = ax.plot_date(x, y, fmt='b-')
l1.set_label('Shortwave Radiation')
ax.set_ylabel('PSP (W m-2)')
# ax.set_ylim(0,100)
# 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(6,1,6)
axs.append(ax)
vn = 'pir'
yo = nc.var(vn)[:]
vn = 'pir_std'
yy=nc.var(vn)[:]
(x, y1) = procutil.addnan(dt, yo+yy)
(x, y2) = procutil.addnan(dt, yo-yy)
l2, = ax.plot_date(x, y1, fmt='c-', alpha=0.5)
l2, = ax.plot_date(x, y2, fmt='c-', alpha=0.5)
l2.set_label('Std Dev')
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, yo)
l1, = ax.plot_date(x, y, fmt='b-')
l1.set_label('Long-wave Radiation')
# ax.set_ylim(0,350)
ax.set_ylabel('PIR (W m-2)')
# ax.plot_date((x[1],x[-1]), (0,0), fmt='k:')
# 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
#######################################
# YYYY_MM
#######################################
title_str = ' '.join([pi['id'].upper(), si['description']])
if plot_type=='latest' or plot_type=='monthly':
print ' ... : %s' % (yyyy_mm_str,)
# save figure for this month
for idx, ax in enumerate(axs):
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([])
if idx==0:
ax.set_xlabel(title_str+' -- ' + yyyy_mm_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel(title_str+' -- ' + yyyy_mm_str)
fn = '_'.join([pi['id'], si['id'], yyyy_mm_str+'.png'])
ofn = os.path.join(img_dir, pi['id'], fn) # /home/haines/rayleigh/img/meet
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(title_str+' -- Last 30 days from '+last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel(title_str+' -- Last 30 days from '+last_dt_str)
fn = '_'.join([pi['id'], si['id'], 'last30days.png'])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img/
savefig(ofn)
#######################################
# 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(title_str+' -- Last 7 days from '+last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel(title_str+' -- Last 7 days from '+last_dt_str)
fn = '_'.join([pi['id'], si['id'], 'last07days.png'])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img
savefig(ofn)
#######################################
# 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(title_str+' -- Last 24 hours from '+last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%H') )
ax.set_xlabel(title_str+' -- Last 24 hours from '+last_dt_str)
fn = '_'.join([pi['id'], si['id'], 'last01days.png'])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img
savefig(ofn)
def timeseries(pi, si, yyyy_mm, plot_type='latest'):
"""
"""
print 'plot_cr1000_wind ...'
img_dir = '/home/haines/rayleigh/img'
prev_month, this_month, next_month = procutil.find_months(yyyy_mm)
yyyy_mm_str = this_month.strftime('%Y_%m')
fn = '_'.join([pi['id'], si['id'], prev_month.strftime('%Y_%m')+'.nc'])
ncFile1= os.path.join(si['proc_dir'], fn)
fn = '_'.join([pi['id'], si['id'], this_month.strftime('%Y_%m')+'.nc'])
ncFile2= os.path.join(si['proc_dir'], fn)
# 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)
wspd1 = nc.var('wspd1')[:]
wspd2 = nc.var('wspd2')[:]
wgust1 = nc.var('wgust1')[:]
wgust2 = nc.var('wgust2')[:]
wdir1 = nc.var('wdir1')[:]
wdir2 = nc.var('wdir2')[:]
# 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")
#######################################
# Build Plot
#######################################
fig = figure(figsize=(10, 9))
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]
(x, y) = procutil.addnan(dt, wspd1)
# ax.plot returns a list of lines, so unpack tuple
l1, = ax.plot_date(x, y, fmt='b-')
l1.set_label('Anemometer 1')
(x, y) = procutil.addnan(dt, wspd2)
l2, = ax.plot_date(x, y, fmt='g-')
l2.set_label('Anemometer 2')
ax.set_ylabel('Wind Speed\n (m/s)')
# right-hand side scale
ax2 = twinx(ax)
ax2.yaxis.tick_right()
f = [procutil.udconvert(val, 'm/sec', 'knot')[0] for val in ax.get_ylim()]
ax2.set_ylim(f)
ax2.set_ylabel('(knot)')
# this only moves the label not the tick labels
ax.xaxis.set_label_position('top')
# 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(4,1,2)
axs.append(ax)
# ax.plot returns a list of lines, so unpack tuple
(x, y) = procutil.addnan(dt, wgust1)
l1, = ax.plot_date(x, y, fmt='b-')
(x, y) = procutil.addnan(dt, wgust2)
l2, = ax.plot_date(x, y, fmt='g-')
ax.set_ylabel('Wind Gust \n (m/s)')
# ax.set_ylim(0,10)
# right-hand side scale
ax2 = twinx(ax)
ax2.yaxis.tick_right()
f = [procutil.udconvert(val, 'm/sec', 'knot')[0] for val in ax.get_ylim()]
ax2.set_ylim(f)
ax2.set_ylabel('(knot)')
#######################################
#
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, wdir1)
l1, = ax.plot_date(x, y, fmt='b-')
(x, y) = procutil.addnan(dt, wdir2)
l2, = ax.plot_date(x, y, fmt='g-')
ax.set_ylabel('Wind Direction \n(deg N)')
# ax.set_ylim(0,360)
#######################################
# YYYY_MM
#######################################
title_str = ' '.join([pi['id'].upper(), si['description']])
if plot_type=='latest' or plot_type=='monthly':
print ' ... : %s' % (yyyy_mm_str,)
# save figure for this month
for idx, ax in enumerate(axs):
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([])
if idx==0:
ax.set_xlabel(title_str+' -- ' + yyyy_mm_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel(title_str+' -- ' + yyyy_mm_str)
fn = '_'.join([pi['id'], si['id'], yyyy_mm_str+'.png'])
ofn = os.path.join(img_dir, pi['id'], fn) # /home/haines/rayleigh/img/meet
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(title_str+' -- Last 30 days from '+last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel(title_str+' -- Last 30 days from '+last_dt_str)
fn = '_'.join([pi['id'], si['id'], 'last30days.png'])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img/
savefig(ofn)
#######################################
# 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(title_str+' -- Last 7 days from '+last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel(title_str+' -- Last 7 days from '+last_dt_str)
fn = '_'.join([pi['id'], si['id'], 'last07days.png'])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img
savefig(ofn)
#######################################
# 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(title_str+' -- Last 24 hours from '+last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%H') )
ax.set_xlabel(title_str+' -- Last 24 hours from '+last_dt_str)
fn = '_'.join([pi['id'], si['id'], 'last01days.png'])
ofn = os.path.join(img_dir, fn) # /home/haines/rayleigh/img
savefig(ofn)
