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jpier_windwaves_plot.py
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#!/usr/bin/env python
# Last modified: Time-stamp: <2008-10-21 16:47:14 haines>
"""jpier_windwaves_plot"""
import os, sys
import datetime, time, dateutil.tz
import pycdf
import numpy
sys.path.append('/home/haines/nccoos/raw2proc')
del(sys)
os.environ["MPLCONFIGDIR"]="/home/haines/.matplotlib/"
from pylab import figure, twinx, savefig, setp, getp, cm, colorbar
from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, DateFormatter, date2num, num2date
import procutil
print 'jpier_windwaves_plot ...'
prev_month, this_month, next_month = procutil.find_months(procutil.this_month())
# ncFile1='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_2008_01.nc'
# ncFile2='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_2008_02.nc'
ncFile1='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_adcpwaves_'+prev_month.strftime('%Y_%m')+'.nc'
ncFile2='/seacoos/data/nccoos/level1/jpier/adcpwaves/jpier_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)
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)
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()
# ancillary data to plot
ncFile1='/seacoos/data/nccoos/level1/jpier/adcp/jpier_adcp_'+prev_month.strftime('%Y_%m')+'.nc'
ncFile2='/seacoos/data/nccoos/level1/jpier/adcp/jpier_adcp_'+this_month.strftime('%Y_%m')+'.nc'
nc = pycdf.CDFMF((ncFile1, ncFile2))
ncvars = nc.variables()
# print ncvars
es = nc.var('time')[:]
units = nc.var('time').units
dt_anc = [procutil.es2dt(e) for e in es]
# set timezone info to UTC (since data from level1 should be in UTC!!)
dt_anc = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt_anc]
# return new datetime based on computer local
dt_anc_local = [e.astimezone(dateutil.tz.tzlocal()) for e in dt_anc]
dn_anc = date2num(dt)
wd_anc = nc.var('wd')[:]
nc.close
# range for pcolor plots
cmin, cmax = (-0.5, 0.5)
# last dt in data for labels
dt1 = dt[-1]
dt2 = dt_local[-1]
diff = abs(dt1 - dt2)
if diff.days>0:
last_dt_str = dt1.strftime("%H:%M %Z on %b %d, %Y") + ' (' + dt2.strftime("%H:%M %Z, %b %d") + ')'
else:
last_dt_str = dt1.strftime("%H:%M %Z") + ' (' + dt2.strftime("%H:%M %Z") + ')' \
+ dt2.strftime(" on %b %d, %Y")
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)
#######################################
# Last 30 days
#######################################
print ' ... Last 30 days'
ax = fig.add_subplot(4,1,1)
axs = [ax]
# use masked array to hide NaN's on plot
wd_anc = numpy.ma.masked_where(numpy.isnan(wd_anc), wd_anc)
# ax.plot returns a list of lines, so unpack tuple
l1, = ax.plot_date(dt_anc, wd_anc, 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(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('Jpier WIND WAVES -- 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 (feet)')
# 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)
# use masked array to hide NaN's on plot
Hsw = numpy.ma.masked_where(numpy.isnan(Hsw), Hsw)
# Hmax = numpy.ma.masked_where(numpy.isnan(Hmax), Hmax)
# ax.plot returns a list of lines, so unpack tuple
l1, = ax.plot_date(dt, Hsw, fmt='b-')
l1.set_label('Significant Wind Wave Height (Hsw)')
# l2, = ax.plot_date(dt, Hmax, fmt='c-')
# l2.set_label('Max Wave Height (Hmax)')
ax.set_ylabel('WAVE\nHEIGHT (m)')
# ax.set_ylim(2.,10.)
# 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([])
# 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)')
# 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)
# use masked array to hide NaN's on plot
Tpw = numpy.ma.masked_where(numpy.isnan(Tpw), Tpw)
Tmw = numpy.ma.masked_where(numpy.isnan(Tmw), Tmw)
# ax.plot returns a list of lines, so unpack tuple
l1, = ax.plot_date(dt, Tpw, fmt='b-')
l1.set_label('Peak Wind Period (Tp)')
l2, = ax.plot_date(dt, Tmw, fmt='c-')
l2.set_label('Mean Wind Period (Tm)')
ax.set_ylabel('WAVE\nPERIOD (s)')
# ax.set_ylim(2.,10.)
# 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([])
# 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)
# use masked array to hide NaN's on plot
Dpw = numpy.ma.masked_where(numpy.isnan(Dpw), Dpw)
Dmw = numpy.ma.masked_where(numpy.isnan(Dmw), Dmw)
# ax.plot returns a list of lines, so unpack tuple
l1, = ax.plot_date(dt, Dpw, fmt='b-')
l1.set_label('Peak Wind Direction (Dp)')
l2, = ax.plot_date(dt, Dmw, 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(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.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('Jpier WIND WAVES -- Last 30 days from ' + last_dt_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
savefig('/home/haines/rayleigh/img/jpier_windwaves_last30days.png')
#######################################
# Last 7 days
#######################################
print ' ... Last 7 days'
ax = axs[0]
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([])
ax.set_xlabel('Jpier ADCPWAVES -- Last 7 days from ' + last_dt_str)
ax = axs[1]
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([])
ax = axs[2]
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([])
ax = axs[3]
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.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('Jpier WIND WAVES -- Last 7 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/jpier_windwaves_last07days.png')
#######################################
# Last 1 day (24hrs)
#######################################
print ' ... Last 1 days'
ax = axs[0]
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([])
ax.set_xlabel('Jpier WIND WAVES -- Last 24 hours from ' + last_dt_str)
ax = axs[1]
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([])
ax = axs[2]
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([])
ax = axs[3]
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.xaxis.set_major_formatter( DateFormatter('%H') )
ax.set_xlabel('Jpier WIND WAVES -- Last 24 hours from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/jpier_windwaves_last01days.png')