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plot_cr1000_wind.py
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plot_cr1000_wind.py
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#!/usr/bin/env /opt/env/haines/dataproc/bin/python
# Last modified: Time-stamp: <2012-06-27 10:56:24 haines>
"""plot_cr1000_wind"""
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 '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)