| 1 |
#!/usr/bin/env /opt/env/haines/dataproc/bin/python |
|---|
| 2 |
# Last modified: Time-stamp: <2010-04-12 13:51:06 haines> |
|---|
| 3 |
|
|---|
| 4 |
"""billymitchell_sodar_plot""" |
|---|
| 5 |
|
|---|
| 6 |
################################################# |
|---|
| 7 |
# [1a] search and replace XXXX with platform id |
|---|
| 8 |
# [1b] search and replace YYYY with sensor id |
|---|
| 9 |
# [1c] search and replace ZZZZ plot titles |
|---|
| 10 |
################################################# |
|---|
| 11 |
|
|---|
| 12 |
# plot each month |
|---|
| 13 |
|
|---|
| 14 |
import os |
|---|
| 15 |
# import sys, glob, re |
|---|
| 16 |
import datetime, time, dateutil, dateutil.tz |
|---|
| 17 |
import pycdf |
|---|
| 18 |
import numpy |
|---|
| 19 |
|
|---|
| 20 |
# sys.path.append('/opt/env/haines/dataproc/raw2proc') |
|---|
| 21 |
# del(sys) |
|---|
| 22 |
|
|---|
| 23 |
os.environ["MPLCONFIGDIR"]="/home/haines/.matplotlib/" |
|---|
| 24 |
|
|---|
| 25 |
from pylab import figure, twinx, savefig, setp, getp, cm, colorbar |
|---|
| 26 |
from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, DateFormatter, date2num, num2date |
|---|
| 27 |
import procutil |
|---|
| 28 |
|
|---|
| 29 |
def timeseries(pi, si, yyyy_mm, plot_type='latest'): |
|---|
| 30 |
print 'billymitchell_sodar1_plot ...' |
|---|
| 31 |
|
|---|
| 32 |
# |
|---|
| 33 |
|
|---|
| 34 |
prev_month, this_month, next_month = procutil.find_months(yyyy_mm) |
|---|
| 35 |
yyyy_mm_str = this_month.strftime('%Y_%m') |
|---|
| 36 |
|
|---|
| 37 |
################################ |
|---|
| 38 |
# [2a] load primary data file |
|---|
| 39 |
################################ |
|---|
| 40 |
|
|---|
| 41 |
ncFile1='/seacoos/data/nccoos/level1/billymitchell/sodar1/billymitchell_sfas_'+prev_month.strftime('%Y_%m')+'.nc' |
|---|
| 42 |
ncFile2='/seacoos/data/nccoos/level1/billymitchell/sodar1/billymitchell_sfas_'+this_month.strftime('%Y_%m')+'.nc' |
|---|
| 43 |
|
|---|
| 44 |
have_ncFile1 = os.path.exists(ncFile1) |
|---|
| 45 |
have_ncFile2 = os.path.exists(ncFile2) |
|---|
| 46 |
|
|---|
| 47 |
print ' ... loading data for graph from ...' |
|---|
| 48 |
print ' ... ... ' + ncFile1 + ' ... ' + str(have_ncFile1) |
|---|
| 49 |
print ' ... ... ' + ncFile2 + ' ... ' + str(have_ncFile2) |
|---|
| 50 |
|
|---|
| 51 |
# open netcdf data |
|---|
| 52 |
if have_ncFile1 and have_ncFile2: |
|---|
| 53 |
nc = pycdf.CDFMF((ncFile1, ncFile2)) |
|---|
| 54 |
elif not have_ncFile1 and have_ncFile2: |
|---|
| 55 |
nc = pycdf.CDFMF((ncFile2,)) |
|---|
| 56 |
elif have_ncFile1 and not have_ncFile2: |
|---|
| 57 |
nc = pycdf.CDFMF((ncFile1,)) |
|---|
| 58 |
else: |
|---|
| 59 |
print ' ... both files do not exist -- NO DATA LOADED' |
|---|
| 60 |
exit() |
|---|
| 61 |
|
|---|
| 62 |
# ncvars = nc.variables() |
|---|
| 63 |
# print ncvars |
|---|
| 64 |
es = nc.var('time')[:] |
|---|
| 65 |
units = nc.var('time').units |
|---|
| 66 |
dt = [procutil.es2dt(e) for e in es] |
|---|
| 67 |
# set timezone info to UTC (since data from level1 should be in UTC!!) |
|---|
| 68 |
dt = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt] |
|---|
| 69 |
# return new datetime based on computer local |
|---|
| 70 |
dt_local = [e.astimezone(dateutil.tz.tzlocal()) for e in dt] |
|---|
| 71 |
dn = date2num(dt) |
|---|
| 72 |
|
|---|
| 73 |
|
|---|
| 74 |
################################ |
|---|
| 75 |
# [2b] specify variables |
|---|
| 76 |
################################ |
|---|
| 77 |
z = nc.var('z')[:] |
|---|
| 78 |
# convert cm/s to m/s |
|---|
| 79 |
uu = nc.var('u')[:] |
|---|
| 80 |
vv = nc.var('v')[:] |
|---|
| 81 |
ww = nc.var('w')[:] |
|---|
| 82 |
sigw = nc.var('sigw')[:] |
|---|
| 83 |
echo = nc.var('bck')[:] |
|---|
| 84 |
|
|---|
| 85 |
nc.close() |
|---|
| 86 |
|
|---|
| 87 |
# retain original dt for addnan |
|---|
| 88 |
dto = dt |
|---|
| 89 |
|
|---|
| 90 |
# last dt in data for labels |
|---|
| 91 |
dtu = dt[-1] |
|---|
| 92 |
dtl = dt_local[-1] |
|---|
| 93 |
|
|---|
| 94 |
diff = abs(dtu - dtl) |
|---|
| 95 |
if diff.days>0: |
|---|
| 96 |
last_dt_str = dtu.strftime("%H:%M %Z on %b %d, %Y") + ' (' + dtl.strftime("%H:%M %Z, %b %d") + ')' |
|---|
| 97 |
else: |
|---|
| 98 |
last_dt_str = dtu.strftime("%H:%M %Z") + ' (' + dtl.strftime("%H:%M %Z") + ')' \ |
|---|
| 99 |
+ dtl.strftime(" on %b %d, %Y") |
|---|
| 100 |
|
|---|
| 101 |
####################################### |
|---|
| 102 |
# Plot setup |
|---|
| 103 |
####################################### |
|---|
| 104 |
|
|---|
| 105 |
fig = figure(figsize=(10, 10)) |
|---|
| 106 |
fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9, wspace=0.1, hspace=0.1) |
|---|
| 107 |
|
|---|
| 108 |
ax = fig.add_subplot(5,1,1) |
|---|
| 109 |
axs = [ax] |
|---|
| 110 |
|
|---|
| 111 |
# range for horizontal wind plots |
|---|
| 112 |
cmin, cmax = (-20., 20.) |
|---|
| 113 |
# print "%s : %g %g" % ('uv wind', cmin, cmax) |
|---|
| 114 |
# use masked array to hide NaN's on plot |
|---|
| 115 |
(dt, uu) = procutil.addnan(dto, uu) |
|---|
| 116 |
dn = date2num(dt) |
|---|
| 117 |
um = numpy.ma.masked_where(numpy.isnan(uu), uu) |
|---|
| 118 |
pc = ax.pcolor(dn, z, um.T, vmin=cmin, vmax=cmax) |
|---|
| 119 |
pc.set_label('True Eastward Wind (m s-1)') |
|---|
| 120 |
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes) |
|---|
| 121 |
ax.set_ylabel('Height (m)') |
|---|
| 122 |
|
|---|
| 123 |
# setup colorbar axes instance. |
|---|
| 124 |
l,b,w,h = ax.get_position().bounds |
|---|
| 125 |
cax = fig.add_axes([l, b+h+0.04, 0.25*w, 0.03]) |
|---|
| 126 |
|
|---|
| 127 |
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar |
|---|
| 128 |
cb.set_label('Wind Velocity (m s-1)') |
|---|
| 129 |
cb.ax.xaxis.set_label_position('top') |
|---|
| 130 |
cb.ax.set_xticks([0.1, 0.3, 0.5, 0.7, 0.9]) |
|---|
| 131 |
xtl = numpy.round(numpy.linspace(cmin, cmax, 10), decimals=0) |
|---|
| 132 |
cb.ax.set_xticklabels([xtl[1], xtl[3], xtl[5], xtl[7], xtl[9]]) |
|---|
| 133 |
|
|---|
| 134 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
|---|
| 135 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
|---|
| 136 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
|---|
| 137 |
ax.set_xticklabels([]) |
|---|
| 138 |
|
|---|
| 139 |
# this only moves the label not the tick labels |
|---|
| 140 |
ax.xaxis.set_label_position('top') |
|---|
| 141 |
ax.set_xlabel('BILLY MITCHELL SODAR -- ' + yyyy_mm_str) |
|---|
| 142 |
|
|---|
| 143 |
# right-hand side scale |
|---|
| 144 |
ax2 = twinx(ax) |
|---|
| 145 |
ax2.yaxis.tick_right() |
|---|
| 146 |
# convert (lhs) meters to (rhs) feet |
|---|
| 147 |
feet = [procutil.meters2feet(val) for val in ax.get_ylim()] |
|---|
| 148 |
ax2.set_ylim(feet) |
|---|
| 149 |
ax2.set_ylabel('Height (ft)') |
|---|
| 150 |
|
|---|
| 151 |
####################################### |
|---|
| 152 |
# |
|---|
| 153 |
ax = fig.add_subplot(5,1,2) |
|---|
| 154 |
axs.append(ax) |
|---|
| 155 |
|
|---|
| 156 |
# use masked array to hide NaN's on plot |
|---|
| 157 |
(dt, vv) = procutil.addnan(dto, vv) |
|---|
| 158 |
dn = date2num(dt) |
|---|
| 159 |
vm = numpy.ma.masked_where(numpy.isnan(vv), vv) |
|---|
| 160 |
pc = ax.pcolor(dn, z, vm.T, vmin=cmin, vmax=cmax) |
|---|
| 161 |
pc.set_label('True Northward Wind (m s-1)') |
|---|
| 162 |
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes) |
|---|
| 163 |
ax.set_ylabel('Height (m)') |
|---|
| 164 |
|
|---|
| 165 |
# ax.set_xlim(date2num(dt[0]), date2num(dt[-1])) |
|---|
| 166 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
|---|
| 167 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
|---|
| 168 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
|---|
| 169 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 170 |
ax.set_xticklabels([]) |
|---|
| 171 |
|
|---|
| 172 |
# right-hand side scale |
|---|
| 173 |
ax2 = twinx(ax) |
|---|
| 174 |
ax2.yaxis.tick_right() |
|---|
| 175 |
# convert (lhs) meters to (rhs) feet |
|---|
| 176 |
feet = [procutil.meters2feet(val) for val in ax.get_ylim()] |
|---|
| 177 |
ax2.set_ylim(feet) |
|---|
| 178 |
ax2.set_ylabel('Height (ft)') |
|---|
| 179 |
|
|---|
| 180 |
####################################### |
|---|
| 181 |
# |
|---|
| 182 |
ax = fig.add_subplot(5,1,3) |
|---|
| 183 |
axs.append(ax) |
|---|
| 184 |
|
|---|
| 185 |
# range for horizontal wind plots |
|---|
| 186 |
cmin, cmax = (-2., 2.) |
|---|
| 187 |
# print "%s : %g %g" % ('w wind', cmin, cmax) |
|---|
| 188 |
|
|---|
| 189 |
# use masked array to hide NaN's on plot |
|---|
| 190 |
(dt, ww) = procutil.addnan(dto, ww) |
|---|
| 191 |
dn = date2num(dt) |
|---|
| 192 |
wm = numpy.ma.masked_where(numpy.isnan(ww), ww) |
|---|
| 193 |
pc = ax.pcolor(dn, z, wm.T, vmin=cmin, vmax=cmax) |
|---|
| 194 |
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes) |
|---|
| 195 |
ax.set_ylabel('Height (m)') |
|---|
| 196 |
|
|---|
| 197 |
# setup colorbar axes instance. |
|---|
| 198 |
l,b,w,h = ax.get_position().bounds |
|---|
| 199 |
cax = fig.add_axes([l+0.04, b+h-0.06, 0.25*w, 0.03]) |
|---|
| 200 |
|
|---|
| 201 |
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar |
|---|
| 202 |
cb.set_label('Upward Wind Velocity (m s-1)') |
|---|
| 203 |
cb.ax.xaxis.set_label_position('top') |
|---|
| 204 |
cb.ax.set_xticks([0.1, 0.3, 0.5, 0.7, 0.9]) |
|---|
| 205 |
xtl = numpy.round(numpy.linspace(cmin, cmax, 10), decimals=0) |
|---|
| 206 |
cb.ax.set_xticklabels([xtl[1], xtl[3], xtl[5], xtl[7], xtl[9]]) |
|---|
| 207 |
|
|---|
| 208 |
# ax.set_xlim(date2num(dt[0]), date2num(dt[-1])) |
|---|
| 209 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
|---|
| 210 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
|---|
| 211 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
|---|
| 212 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 213 |
ax.set_xticklabels([]) |
|---|
| 214 |
|
|---|
| 215 |
# right-hand side scale |
|---|
| 216 |
ax2 = twinx(ax) |
|---|
| 217 |
ax2.yaxis.tick_right() |
|---|
| 218 |
# convert (lhs) meters to (rhs) feet |
|---|
| 219 |
feet = [procutil.meters2feet(val) for val in ax.get_ylim()] |
|---|
| 220 |
ax2.set_ylim(feet) |
|---|
| 221 |
ax2.set_ylabel('Height (ft)') |
|---|
| 222 |
|
|---|
| 223 |
####################################### |
|---|
| 224 |
# |
|---|
| 225 |
ax = fig.add_subplot(5,1,4) |
|---|
| 226 |
axs.append(ax) |
|---|
| 227 |
|
|---|
| 228 |
cmin, cmax = (0., 2.) |
|---|
| 229 |
# print "%s : %g %g" % ('sigw', cmin, cmax) |
|---|
| 230 |
|
|---|
| 231 |
# use masked array to hide NaN's on plot |
|---|
| 232 |
(dt, sigw) = procutil.addnan(dto, sigw) |
|---|
| 233 |
dn = date2num(dt) |
|---|
| 234 |
sm = numpy.ma.masked_where(numpy.isnan(sigw), sigw) |
|---|
| 235 |
pc = ax.pcolor(dn, z, sm.T, vmin=cmin, vmax=cmax) |
|---|
| 236 |
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes) |
|---|
| 237 |
ax.set_ylabel('Height (m)') |
|---|
| 238 |
|
|---|
| 239 |
# setup colorbar axes instance. |
|---|
| 240 |
l,b,w,h = ax.get_position().bounds |
|---|
| 241 |
cax = fig.add_axes([l+0.04, b+h-0.06, 0.25*w, 0.03]) |
|---|
| 242 |
|
|---|
| 243 |
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar |
|---|
| 244 |
cb.set_label('Std. Dev. of Vertical Wind (m s-1)') |
|---|
| 245 |
cb.ax.xaxis.set_label_position('top') |
|---|
| 246 |
cb.ax.set_xticks([0.0, 0.2, 0.4, 0.6, 0.8]) |
|---|
| 247 |
xtl = numpy.round(numpy.linspace(cmin, cmax, 10), decimals=1) |
|---|
| 248 |
cb.ax.set_xticklabels([xtl[0], xtl[2], xtl[4], xtl[6], xtl[8]]) |
|---|
| 249 |
|
|---|
| 250 |
# ax.set_xlim(date2num(dt[0]), date2num(dt[-1])) |
|---|
| 251 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
|---|
| 252 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
|---|
| 253 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
|---|
| 254 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 255 |
ax.set_xticklabels([]) |
|---|
| 256 |
|
|---|
| 257 |
# right-hand side scale |
|---|
| 258 |
ax2 = twinx(ax) |
|---|
| 259 |
ax2.yaxis.tick_right() |
|---|
| 260 |
# convert (lhs) meters to (rhs) feet |
|---|
| 261 |
feet = [procutil.meters2feet(val) for val in ax.get_ylim()] |
|---|
| 262 |
ax2.set_ylim(feet) |
|---|
| 263 |
ax2.set_ylabel('Height (ft)') |
|---|
| 264 |
|
|---|
| 265 |
####################################### |
|---|
| 266 |
# |
|---|
| 267 |
ax = fig.add_subplot(5,1,5) |
|---|
| 268 |
axs.append(ax) |
|---|
| 269 |
|
|---|
| 270 |
|
|---|
| 271 |
# cmin, cmax = (0., 1000.) |
|---|
| 272 |
cmin, cmax = (2., 6.) |
|---|
| 273 |
# print "%s : %g %g" % ('echo', cmin, cmax) |
|---|
| 274 |
|
|---|
| 275 |
# use masked array to hide NaN's on plot |
|---|
| 276 |
(dt, echo) = procutil.addnan(dto, numpy.log10(echo)) |
|---|
| 277 |
dn = date2num(dt) |
|---|
| 278 |
em = numpy.ma.masked_where(numpy.isnan(echo), echo) |
|---|
| 279 |
pc = ax.pcolor(dn, z, em.T, vmin=cmin, vmax=cmax) |
|---|
| 280 |
# pc = ax.pcolor(dn, z, em.T) |
|---|
| 281 |
ax.text(0.025, 0.1, pc.get_label(), fontsize="small", transform=ax.transAxes) |
|---|
| 282 |
ax.set_ylabel('Height (m)') |
|---|
| 283 |
|
|---|
| 284 |
# setup colorbar axes instance. |
|---|
| 285 |
l,b,w,h = ax.get_position().bounds |
|---|
| 286 |
cax = fig.add_axes([l+0.04, b+h-0.06, 0.25*w, 0.03]) |
|---|
| 287 |
|
|---|
| 288 |
cb = colorbar(pc, cax=cax, orientation='horizontal') # draw colorbar |
|---|
| 289 |
cb.set_label('log10 Backscatter') |
|---|
| 290 |
cb.ax.xaxis.set_label_position('top') |
|---|
| 291 |
cb.ax.set_xticks([0.0, 1.0]) |
|---|
| 292 |
xtl = numpy.round(numpy.linspace(cmin, cmax, 10), decimals=0) |
|---|
| 293 |
cb.ax.set_xticklabels([str(cmin), str(cmax)]) |
|---|
| 294 |
|
|---|
| 295 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
|---|
| 296 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
|---|
| 297 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
|---|
| 298 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 299 |
ax.set_xticklabels([]) |
|---|
| 300 |
|
|---|
| 301 |
# right-hand side scale |
|---|
| 302 |
ax2 = twinx(ax) |
|---|
| 303 |
ax2.yaxis.tick_right() |
|---|
| 304 |
# convert (lhs) meters to (rhs) feet |
|---|
| 305 |
feet = [procutil.meters2feet(val) for val in ax.get_ylim()] |
|---|
| 306 |
ax2.set_ylim(feet) |
|---|
| 307 |
ax2.set_ylabel('Height (ft)') |
|---|
| 308 |
|
|---|
| 309 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 310 |
ax.set_xlabel('BILLY MITCHELL SODAR -- ' + yyyy_mm_str) |
|---|
| 311 |
# save figure |
|---|
| 312 |
|
|---|
| 313 |
# save figure for this month |
|---|
| 314 |
ofn = '/home/haines/rayleigh/img/billymitchell/billymitchell_sodar1_'+yyyy_mm_str+'.png' |
|---|
| 315 |
print '... ... write: %s' % (ofn,) |
|---|
| 316 |
savefig(ofn) |
|---|
| 317 |
|
|---|
| 318 |
|
|---|
| 319 |
####################################### |
|---|
| 320 |
# Last 30 days |
|---|
| 321 |
####################################### |
|---|
| 322 |
if plot_type=='latest': |
|---|
| 323 |
print ' ... Last 30 days' |
|---|
| 324 |
for idx, ax in enumerate(axs): |
|---|
| 325 |
ax.set_xlim(date2num(dt[-1])-30, date2num(dt[-1])) |
|---|
| 326 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
|---|
| 327 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
|---|
| 328 |
ax.set_xticklabels([]) |
|---|
| 329 |
if idx==0: |
|---|
| 330 |
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 30 days from ' + last_dt_str) |
|---|
| 331 |
elif idx==len(axs)-1: |
|---|
| 332 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 333 |
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 30 days from ' + last_dt_str) |
|---|
| 334 |
|
|---|
| 335 |
savefig('/home/haines/rayleigh/img/billymitchell_sodar1_last30days.png') |
|---|
| 336 |
|
|---|
| 337 |
|
|---|
| 338 |
####################################### |
|---|
| 339 |
# Last 7 days |
|---|
| 340 |
####################################### |
|---|
| 341 |
if plot_type=='latest': |
|---|
| 342 |
print ' ... Last 7 days' |
|---|
| 343 |
for idx, ax in enumerate(axs): |
|---|
| 344 |
ax.set_xlim(date2num(dt[-1])-7, date2num(dt[-1])) |
|---|
| 345 |
ax.xaxis.set_major_locator( DayLocator(range(0,32,1)) ) |
|---|
| 346 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,6)) ) |
|---|
| 347 |
ax.set_xticklabels([]) |
|---|
| 348 |
if idx==0: |
|---|
| 349 |
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 7 days from ' + last_dt_str) |
|---|
| 350 |
elif idx==len(axs)-1: |
|---|
| 351 |
ax.xaxis.set_major_formatter( DateFormatter('%m/%d') ) |
|---|
| 352 |
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 7 days from ' + last_dt_str) |
|---|
| 353 |
|
|---|
| 354 |
savefig('/home/haines/rayleigh/img/billymitchell_sodar1_last07days.png') |
|---|
| 355 |
|
|---|
| 356 |
|
|---|
| 357 |
####################################### |
|---|
| 358 |
# Last 1 day (24hrs) |
|---|
| 359 |
####################################### |
|---|
| 360 |
if plot_type=='latest': |
|---|
| 361 |
print ' ... Last 1 days' |
|---|
| 362 |
|
|---|
| 363 |
for idx, ax in enumerate(axs): |
|---|
| 364 |
ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
|---|
| 365 |
ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
|---|
| 366 |
ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
|---|
| 367 |
ax.set_xticklabels([]) |
|---|
| 368 |
if idx==0: |
|---|
| 369 |
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 24 hours from ' + last_dt_str) |
|---|
| 370 |
elif idx==len(axs)-1: |
|---|
| 371 |
ax.xaxis.set_major_formatter( DateFormatter('%H') ) |
|---|
| 372 |
ax.set_xlabel('BILLY MITCHELL SODAR -- Last 24 hours from ' + last_dt_str) |
|---|
| 373 |
|
|---|
| 374 |
savefig('/home/haines/rayleigh/img/billymitchell_sodar1_last01days.png') |
|---|
| 375 |
|
|---|
| 376 |
|
|---|
| 377 |
def wind_vectors(pi, si, yyyy_mm, plot_type='latest'): |
|---|
| 378 |
print 'billymitchell_arrows_plot ...' |
|---|
| 379 |
|
|---|
| 380 |
# |
|---|
| 381 |
|
|---|
| 382 |
prev_month, this_month, next_month = procutil.find_months(yyyy_mm) |
|---|
| 383 |
yyyy_mm_str = this_month.strftime('%Y_%m') |
|---|
| 384 |
|
|---|
| 385 |
################################ |
|---|
| 386 |
# [2a] load primary data file |
|---|
| 387 |
################################ |
|---|
| 388 |
|
|---|
| 389 |
ncFile1='/seacoos/data/nccoos/level1/billymitchell/sodar1/billymitchell_sfas_'+prev_month.strftime('%Y_%m')+'.nc' |
|---|
| 390 |
ncFile2='/seacoos/data/nccoos/level1/billymitchell/sodar1/billymitchell_sfas_'+this_month.strftime('%Y_%m')+'.nc' |
|---|
| 391 |
|
|---|
| 392 |
have_ncFile1 = os.path.exists(ncFile1) |
|---|
| 393 |
have_ncFile2 = os.path.exists(ncFile2) |
|---|
| 394 |
|
|---|
| 395 |
print ' ... loading data for graph from ...' |
|---|
| 396 |
print ' ... ... ' + ncFile1 + ' ... ' + str(have_ncFile1) |
|---|
| 397 |
print ' ... ... ' + ncFile2 + ' ... ' + str(have_ncFile2) |
|---|
| 398 |
|
|---|
| 399 |
# open netcdf data |
|---|
| 400 |
if have_ncFile1 and have_ncFile2: |
|---|
| 401 |
nc = pycdf.CDFMF((ncFile1, ncFile2)) |
|---|
| 402 |
elif not have_ncFile1 and have_ncFile2: |
|---|
| 403 |
nc = pycdf.CDFMF((ncFile2,)) |
|---|
| 404 |
elif have_ncFile1 and not have_ncFile2: |
|---|
| 405 |
nc = pycdf.CDFMF((ncFile1,)) |
|---|
| 406 |
else: |
|---|
| 407 |
print ' ... both files do not exist -- NO DATA LOADED' |
|---|
| 408 |
exit() |
|---|
| 409 |
|
|---|
| 410 |
# ncvars = nc.variables() |
|---|
| 411 |
# print ncvars |
|---|
| 412 |
es = nc.var('time')[:] |
|---|
| 413 |
units = nc.var('time').units |
|---|
| 414 |
dt = [procutil.es2dt(e) for e in es] |
|---|
| 415 |
# set timezone info to UTC (since data from level1 should be in UTC!!) |
|---|
| 416 |
dt = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt] |
|---|
| 417 |
# return new datetime based on computer local |
|---|
| 418 |
dt_local = [e.astimezone(dateutil.tz.tzlocal()) for e in dt] |
|---|
| 419 |
dn = date2num(dt) |
|---|
| 420 |
|
|---|
| 421 |
|
|---|
| 422 |
################################ |
|---|
| 423 |
# [2b] specify variables |
|---|
| 424 |
################################ |
|---|
| 425 |
z = nc.var('z')[:] |
|---|
| 426 |
# convert cm/s to m/s |
|---|
| 427 |
uu = nc.var('u')[:] |
|---|
| 428 |
vv = nc.var('v')[:] |
|---|
| 429 |
ww = nc.var('w')[:] |
|---|
| 430 |
sigw = nc.var('sigw')[:] |
|---|
| 431 |
echo = nc.var('bck')[:] |
|---|
| 432 |
|
|---|
| 433 |
nc.close() |
|---|
| 434 |
|
|---|
| 435 |
# retain original dt for addnan |
|---|
| 436 |
dto = dt |
|---|
| 437 |
|
|---|
| 438 |
# last dt in data for labels |
|---|
| 439 |
dtu = dt[-1] |
|---|
| 440 |
dtl = dt_local[-1] |
|---|
| 441 |
|
|---|
| 442 |
diff = abs(dtu - dtl) |
|---|
| 443 |
if diff.days>0: |
|---|
| 444 |
last_dt_str = dtu.strftime("%H:%M %Z on %b %d, %Y") + ' (' + dtl.strftime("%H:%M %Z, %b %d") + ')' |
|---|
| 445 |
else: |
|---|
| 446 |
last_dt_str = dtu.strftime("%H:%M %Z") + ' (' + dtl.strftime("%H:%M %Z") + ')' \ |
|---|
| 447 |
+ dtl.strftime(" on %b %d, %Y") |
|---|
| 448 |
|
|---|
| 449 |
####################################### |
|---|
| 450 |
# Plot setup |
|---|
| 451 |
####################################### |
|---|
| 452 |
|
|---|
| 453 |
fig = figure(figsize=(10, 10)) |
|---|
| 454 |
fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9, wspace=0.1, hspace=0.1) |
|---|
| 455 |
|
|---|
| 456 |
ax = fig.add_subplot(1,1,1) |
|---|
| 457 |
axs = [ax] |
|---|
| 458 |
|
|---|
| 459 |
# range for horizontal wind plots |
|---|
| 460 |
# cmin, cmax = (0., 20.) |
|---|
| 461 |
# print "%s : %g %g" % ('uv wind', cmin, cmax) |
|---|
| 462 |
# use masked array to hide NaN's on plot |
|---|
| 463 |
(dt, uu) = procutil.addnan(dto, uu) |
|---|
| 464 |
dn = date2num(dt) |
|---|
| 465 |
um = numpy.ma.masked_where(numpy.isnan(uu), uu) |
|---|
| 466 |
|
|---|
| 467 |
(dt, vv) = procutil.addnan(dto, vv) |
|---|
| 468 |
vm = numpy.ma.masked_where(numpy.isnan(vv), vv) |
|---|
| 469 |
wspd = numpy.sqrt(um*um + vm*vm) |
|---|
| 470 |
|
|---|
| 471 |
X,Y = numpy.meshgrid(dn, z) |
|---|
| 472 |
|
|---|
| 473 |
q1 = ax.quiver(X, Y, um.T, vm.T, wspd.T, units='inches', scale=40) |
|---|
| 474 |
qk = ax.quiverkey(q1, 0.1, 0.8, 20, r'20 m s-1') |
|---|
| 475 |
|
|---|
| 476 |
ax.set_ylabel('Height (m)') |
|---|
| 477 |
|
|---|
| 478 |
# setup colorbar axes instance. |
|---|
| 479 |
l,b,w,h = ax.get_position().bounds |
|---|
| 480 |
cax = fig.add_axes([l+0.02, b+h-0.06, 0.25*w, 0.03]) |
|---|
| 481 |
|
|---|
| 482 |
cb = colorbar(q1, cax=cax, orientation='horizontal') # draw colorbar |
|---|
| 483 |
cb.set_label('Wind Velocity (m s-1)') |
|---|
| 484 |
|
|---|
| 485 |
# lost control of colorbar ... ??? |
|---|
| 486 |
# |
|---|
| 487 |
# cb.ax.xaxis.set_label_position('top') |
|---|
| 488 |
# cb.ax.set_xticks([0.0, 0.5, 1.0]) |
|---|
| 489 |
# xtl = numpy.round(numpy.linspace(cmin, cmax, 11), decimals=0) |
|---|
| 490 |
# cb.ax.set_xticklabels([xtl[0], xtl[5], xtl[10]]) |
|---|
| 491 |
|
|---|
| 492 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
|---|
| 493 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
|---|
| 494 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
|---|
| 495 |
ax.set_xticklabels([]) |
|---|
| 496 |
|
|---|
| 497 |
# this only moves the label not the tick labels |
|---|
| 498 |
ax.xaxis.set_label_position('bottom') |
|---|
| 499 |
ax.set_xlabel('BILLY MITCHELL Wind Profile -- ' + yyyy_mm_str) |
|---|
| 500 |
|
|---|
| 501 |
# right-hand side scale |
|---|
| 502 |
ax2 = twinx(ax) |
|---|
| 503 |
ax2.yaxis.tick_right() |
|---|
| 504 |
# convert (lhs) meters to (rhs) feet |
|---|
| 505 |
feet = [procutil.meters2feet(val) for val in ax.get_ylim()] |
|---|
| 506 |
ax2.set_ylim(feet) |
|---|
| 507 |
ax2.set_ylabel('Height (ft)') |
|---|
| 508 |
|
|---|
| 509 |
|
|---|
| 510 |
|
|---|
| 511 |
####################################### |
|---|
| 512 |
# Last 1 day (24hrs) |
|---|
| 513 |
####################################### |
|---|
| 514 |
if plot_type=='latest': |
|---|
| 515 |
print ' ... Last 1 days' |
|---|
| 516 |
|
|---|
| 517 |
for idx, ax in enumerate(axs): |
|---|
| 518 |
ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
|---|
| 519 |
ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
|---|
| 520 |
ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
|---|
| 521 |
ax.set_xticklabels([]) |
|---|
| 522 |
if idx==0: |
|---|
| 523 |
ax.set_xlabel('BILLY MITCHELL Wind Profile -- Last 24 hours from ' + last_dt_str) |
|---|
| 524 |
if idx==len(axs)-1: |
|---|
| 525 |
ax.xaxis.set_major_formatter( DateFormatter('%H') ) |
|---|
| 526 |
ax.set_xlabel('BILLY MITCHELL Wind Profile -- Last 24 hours from ' + last_dt_str) |
|---|
| 527 |
|
|---|
| 528 |
savefig('/home/haines/rayleigh/img/billymitchell_wind_last01days.png') |
|---|
| 529 |
|
|---|
| 530 |
|
|---|
| 531 |
def wind_barbs(pi, si, yyyy_mm, plot_type='latest'): |
|---|
| 532 |
print 'billymitchell_arrows_plot ...' |
|---|
| 533 |
|
|---|
| 534 |
# |
|---|
| 535 |
|
|---|
| 536 |
prev_month, this_month, next_month = procutil.find_months(yyyy_mm) |
|---|
| 537 |
yyyy_mm_str = this_month.strftime('%Y_%m') |
|---|
| 538 |
|
|---|
| 539 |
################################ |
|---|
| 540 |
# [2a] load primary data file |
|---|
| 541 |
################################ |
|---|
| 542 |
|
|---|
| 543 |
ncFile1='/seacoos/data/nccoos/level1/billymitchell/sodar1/billymitchell_sfas_'+prev_month.strftime('%Y_%m')+'.nc' |
|---|
| 544 |
ncFile2='/seacoos/data/nccoos/level1/billymitchell/sodar1/billymitchell_sfas_'+this_month.strftime('%Y_%m')+'.nc' |
|---|
| 545 |
|
|---|
| 546 |
have_ncFile1 = os.path.exists(ncFile1) |
|---|
| 547 |
have_ncFile2 = os.path.exists(ncFile2) |
|---|
| 548 |
|
|---|
| 549 |
print ' ... loading data for graph from ...' |
|---|
| 550 |
print ' ... ... ' + ncFile1 + ' ... ' + str(have_ncFile1) |
|---|
| 551 |
print ' ... ... ' + ncFile2 + ' ... ' + str(have_ncFile2) |
|---|
| 552 |
|
|---|
| 553 |
# open netcdf data |
|---|
| 554 |
if have_ncFile1 and have_ncFile2: |
|---|
| 555 |
nc = pycdf.CDFMF((ncFile1, ncFile2)) |
|---|
| 556 |
elif not have_ncFile1 and have_ncFile2: |
|---|
| 557 |
nc = pycdf.CDFMF((ncFile2,)) |
|---|
| 558 |
elif have_ncFile1 and not have_ncFile2: |
|---|
| 559 |
nc = pycdf.CDFMF((ncFile1,)) |
|---|
| 560 |
else: |
|---|
| 561 |
print ' ... both files do not exist -- NO DATA LOADED' |
|---|
| 562 |
exit() |
|---|
| 563 |
|
|---|
| 564 |
# ncvars = nc.variables() |
|---|
| 565 |
# print ncvars |
|---|
| 566 |
es = nc.var('time')[:] |
|---|
| 567 |
units = nc.var('time').units |
|---|
| 568 |
dt = [procutil.es2dt(e) for e in es] |
|---|
| 569 |
# set timezone info to UTC (since data from level1 should be in UTC!!) |
|---|
| 570 |
dt = [e.replace(tzinfo=dateutil.tz.tzutc()) for e in dt] |
|---|
| 571 |
# return new datetime based on computer local |
|---|
| 572 |
dt_local = [e.astimezone(dateutil.tz.tzlocal()) for e in dt] |
|---|
| 573 |
dn = date2num(dt) |
|---|
| 574 |
|
|---|
| 575 |
|
|---|
| 576 |
################################ |
|---|
| 577 |
# [2b] specify variables |
|---|
| 578 |
################################ |
|---|
| 579 |
z = nc.var('z')[:] |
|---|
| 580 |
# convert cm/s to m/s |
|---|
| 581 |
uu = nc.var('u')[:] |
|---|
| 582 |
vv = nc.var('v')[:] |
|---|
| 583 |
ww = nc.var('w')[:] |
|---|
| 584 |
sigw = nc.var('sigw')[:] |
|---|
| 585 |
echo = nc.var('bck')[:] |
|---|
| 586 |
|
|---|
| 587 |
nc.close() |
|---|
| 588 |
|
|---|
| 589 |
# retain original dt for addnan |
|---|
| 590 |
dto = dt |
|---|
| 591 |
|
|---|
| 592 |
# last dt in data for labels |
|---|
| 593 |
dtu = dt[-1] |
|---|
| 594 |
dtl = dt_local[-1] |
|---|
| 595 |
|
|---|
| 596 |
diff = abs(dtu - dtl) |
|---|
| 597 |
if diff.days>0: |
|---|
| 598 |
last_dt_str = dtu.strftime("%H:%M %Z on %b %d, %Y") + ' (' + dtl.strftime("%H:%M %Z, %b %d") + ')' |
|---|
| 599 |
else: |
|---|
| 600 |
last_dt_str = dtu.strftime("%H:%M %Z") + ' (' + dtl.strftime("%H:%M %Z") + ')' \ |
|---|
| 601 |
+ dtl.strftime(" on %b %d, %Y") |
|---|
| 602 |
|
|---|
| 603 |
####################################### |
|---|
| 604 |
# Plot setup |
|---|
| 605 |
####################################### |
|---|
| 606 |
|
|---|
| 607 |
fig = figure(figsize=(10, 10)) |
|---|
| 608 |
fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9, wspace=0.1, hspace=0.1) |
|---|
| 609 |
|
|---|
| 610 |
ax = fig.add_subplot(1,1,1) |
|---|
| 611 |
axs = [ax] |
|---|
| 612 |
|
|---|
| 613 |
# range for horizontal wind plots |
|---|
| 614 |
# cmin, cmax = (0., 20.) |
|---|
| 615 |
# print "%s : %g %g" % ('uv wind', cmin, cmax) |
|---|
| 616 |
# use masked array to hide NaN's on plot |
|---|
| 617 |
(dt, uu) = procutil.addnan(dto, uu) |
|---|
| 618 |
dn = date2num(dt) |
|---|
| 619 |
um = numpy.ma.masked_where(numpy.isnan(uu), uu) |
|---|
| 620 |
|
|---|
| 621 |
(dt, vv) = procutil.addnan(dto, vv) |
|---|
| 622 |
vm = numpy.ma.masked_where(numpy.isnan(vv), vv) |
|---|
| 623 |
wspd = numpy.sqrt(um*um + vm*vm) |
|---|
| 624 |
|
|---|
| 625 |
X,Y = numpy.meshgrid(dn, z) |
|---|
| 626 |
|
|---|
| 627 |
q1 = ax.barbs(X, Y, um.T, vm.T, wspd.T) |
|---|
| 628 |
# qk = ax.quiverkey(q1, 0.1, 0.8, 20, r'20 m s-1') |
|---|
| 629 |
|
|---|
| 630 |
ax.set_ylabel('Height (m)') |
|---|
| 631 |
|
|---|
| 632 |
# setup colorbar axes instance. |
|---|
| 633 |
l,b,w,h = ax.get_position().bounds |
|---|
| 634 |
cax = fig.add_axes([l+0.02, b+h-0.06, 0.25*w, 0.03]) |
|---|
| 635 |
|
|---|
| 636 |
cb = colorbar(q1, cax=cax, orientation='horizontal') # draw colorbar |
|---|
| 637 |
cb.set_label('Wind Velocity (m s-1)') |
|---|
| 638 |
|
|---|
| 639 |
# lost control of colorbar ... ??? |
|---|
| 640 |
# |
|---|
| 641 |
# cb.ax.xaxis.set_label_position('top') |
|---|
| 642 |
# cb.ax.set_xticks([0.0, 0.5, 1.0]) |
|---|
| 643 |
# xtl = numpy.round(numpy.linspace(cmin, cmax, 11), decimals=0) |
|---|
| 644 |
# cb.ax.set_xticklabels([xtl[0], xtl[5], xtl[10]]) |
|---|
| 645 |
|
|---|
| 646 |
ax.set_xlim(date2num(this_month), date2num(next_month-datetime.timedelta(seconds=1))) |
|---|
| 647 |
ax.xaxis.set_major_locator( DayLocator(range(2,32,2)) ) |
|---|
| 648 |
ax.xaxis.set_minor_locator( HourLocator(range(0,25,12)) ) |
|---|
| 649 |
ax.set_xticklabels([]) |
|---|
| 650 |
|
|---|
| 651 |
# this only moves the label not the tick labels |
|---|
| 652 |
ax.xaxis.set_label_position('bottom') |
|---|
| 653 |
ax.set_xlabel('BILLY MITCHELL Wind Profile -- ' + yyyy_mm_str) |
|---|
| 654 |
|
|---|
| 655 |
# right-hand side scale |
|---|
| 656 |
ax2 = twinx(ax) |
|---|
| 657 |
ax2.yaxis.tick_right() |
|---|
| 658 |
# convert (lhs) meters to (rhs) feet |
|---|
| 659 |
feet = [procutil.meters2feet(val) for val in ax.get_ylim()] |
|---|
| 660 |
ax2.set_ylim(feet) |
|---|
| 661 |
ax2.set_ylabel('Height (ft)') |
|---|
| 662 |
|
|---|
| 663 |
|
|---|
| 664 |
|
|---|
| 665 |
####################################### |
|---|
| 666 |
# Last 1 day (24hrs) |
|---|
| 667 |
####################################### |
|---|
| 668 |
if plot_type=='latest': |
|---|
| 669 |
print ' ... Last 1 days' |
|---|
| 670 |
|
|---|
| 671 |
for idx, ax in enumerate(axs): |
|---|
| 672 |
ax.set_xlim(date2num(dt[-1])-1, date2num(dt[-1])) |
|---|
| 673 |
ax.xaxis.set_major_locator( HourLocator(range(0,25,1)) ) |
|---|
| 674 |
ax.xaxis.set_minor_locator( MinuteLocator(range(0,61,30)) ) |
|---|
| 675 |
ax.set_xticklabels([]) |
|---|
| 676 |
if idx==0: |
|---|
| 677 |
ax.set_xlabel('BILLY MITCHELL Wind Profile -- Last 24 hours from ' + last_dt_str) |
|---|
| 678 |
if idx==len(axs)-1: |
|---|
| 679 |
ax.xaxis.set_major_formatter( DateFormatter('%H') ) |
|---|
| 680 |
ax.set_xlabel('BILLY MITCHELL Wind Profile -- Last 24 hours from ' + last_dt_str) |
|---|
| 681 |
|
|---|
| 682 |
savefig('/home/haines/rayleigh/img/billymitchell_windbarbs_last01days.png') |
|---|
| 683 |
|
|---|
