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template_p2p.py
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#!/usr/bin/env /opt/env/haines/dataproc/bin/python
# Last modified: Time-stamp: <2010-04-07 12:02:53 haines>
"""XXXX_YYYY_plot"""
#################################################
# [1a] search and replace XXXX with platform id
# [1b] search and replace YYYY with sensor id
# [1c] search and replace ZZZZ plot titles
#################################################
# plot each month
import os
# import sys, glob, re
import datetime, time, dateutil, dateutil.tz
import pycdf
import numpy
# sys.path.append('/opt/env/haines/dataproc/raw2proc')
# del(sys)
os.environ["MPLCONFIGDIR"]="/home/haines/.matplotlib/"
from pylab import figure, twinx, savefig, setp, getp, cm, colorbar
from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, DateFormatter, date2num, num2date
import procutil
def timeseries(pi, si, yyyy_mm, plot_type='latest'):
"""
"""
print 'XXXX_YYYY_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/XXXX/YYYY/XXXX_YYYY_'+prev_month.strftime('%Y_%m')+'.nc'
ncFile2='/seacoos/data/nccoos/level1/XXXX/YYYY/XXXX_YYYY_'+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
################################
# e.g.
# z = nc.var('z')[:]
nc.close()
################################
# [3a] load ancillary files if needed
################################
ncFile1='/seacoos/data/nccoos/level1/XXXX/flow/XXXX_flow_'+prev_month.strftime('%Y_%m')+'.nc'
ncFile2='/seacoos/data/nccoos/level1/XXXX/flow/XXXX_flow_'+this_month.strftime('%Y_%m')+'.nc'
have_ncFile1 = os.path.exists(ncFile1)
have_ncFile2 = os.path.exists(ncFile2)
print ' ... loading data for graph from ...'
print ' ... ... ' + ncFile1 + ' ... ' + str(have_ncFile1)
print ' ... ... ' + ncFile2 + ' ... ' + str(have_ncFile2)
# open netcdf data
if have_ncFile1 and have_ncFile2:
nc = pycdf.CDFMF((ncFile1, ncFile2))
elif not have_ncFile1 and have_ncFile2:
nc = pycdf.CDFMF((ncFile2,))
elif have_ncFile1 and not have_ncFile2:
nc = pycdf.CDFMF((ncFile1,))
else:
print ' ... both files do not exist -- NO DATA LOADED'
return
# ncvars = nc.variables()
# print ncvars
es2 = nc.var('time')[:]
units = nc.var('time').units
dt2 = [procutil.es2dt(e) for e in es2]
# set timezone info to UTC (since data from level1 should be in UTC!!)
dt2 = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt2]
dn2 = date2num(dt2)
################################
# [3b] specify variables
################################
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
#######################################
# save figure for this month
ofn = '/home/haines/rayleigh/img/XXXX/XXXX_YYYY_'+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('XXXX ZZZZ -- Last 30 days from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('XXXX ZZZZ -- Last 30 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/XXXX_YYYY_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('XXXX ZZZZ -- Last 7 days from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('XXXX ZZZZ -- Last 7 days from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/XXXX_YYYY_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( DayLocator(range(0,32,1)) )
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) )
ax.set_xticklabels([])
if idx==0:
ax.set_xlabel('XXXX ZZZZ -- Last 24 hours from ' + last_dt_str)
elif idx==len(axs)-1:
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') )
ax.set_xlabel('XXXX ZZZZ -- Last 24 hours from ' + last_dt_str)
savefig('/home/haines/rayleigh/img/XXXX_YYYY_last01days.png')