| 1 |
import os,datetime,glob |
|---|
| 2 |
import numpy as np |
|---|
| 3 |
import matplotlib as mpl |
|---|
| 4 |
mpl.use("Agg") |
|---|
| 5 |
from windrose import WindroseAxes |
|---|
| 6 |
from matplotlib import pyplot as plt |
|---|
| 7 |
import pycdf |
|---|
| 8 |
|
|---|
| 9 |
ncDir = '/seacoos/data/nccoos/level1/billymitchell/sodar1' |
|---|
| 10 |
ncFileGlob = 'billymitchell_sfas_*.nc' |
|---|
| 11 |
|
|---|
| 12 |
pngDir = '/seacoos/data/nccoos/level1/billymitchell/sodar1/plots/winddist' |
|---|
| 13 |
if not os.path.exists(pngDir): |
|---|
| 14 |
os.mkdir(pngDir) |
|---|
| 15 |
|
|---|
| 16 |
pngExt = 'png' |
|---|
| 17 |
htmlExt = 'html' |
|---|
| 18 |
|
|---|
| 19 |
ncFilePattern = os.path.join(ncDir,ncFileGlob) |
|---|
| 20 |
files = glob.glob(ncFilePattern) |
|---|
| 21 |
files = files[:-1] # sodar was broken last month |
|---|
| 22 |
previous = [files[-1]] + files[:-1] |
|---|
| 23 |
next = files[1:] + [files[0]] |
|---|
| 24 |
files = zip(previous,files,next) |
|---|
| 25 |
|
|---|
| 26 |
firstMonth = True |
|---|
| 27 |
for previous,ncFile,next in files: |
|---|
| 28 |
print 'Processing',ncFile |
|---|
| 29 |
ncFileName = os.path.splitext(os.path.basename(ncFile))[0] |
|---|
| 30 |
year = ncFileName[19:23] |
|---|
| 31 |
month = ncFileName[24:26] |
|---|
| 32 |
month = datetime.datetime(int(year),int(month),1).strftime('%B') |
|---|
| 33 |
if previous: |
|---|
| 34 |
previous = os.path.splitext(os.path.basename(previous))[0] |
|---|
| 35 |
previousYear = previous[19:23] |
|---|
| 36 |
previousMonth = previous[24:26] |
|---|
| 37 |
previousMonth = datetime.datetime(int(previousYear),int(previousMonth),1).strftime('%B') |
|---|
| 38 |
previous = previous + os.extsep + htmlExt |
|---|
| 39 |
if next: |
|---|
| 40 |
next = os.path.splitext(os.path.basename(next))[0] |
|---|
| 41 |
nextYear = next[19:23] |
|---|
| 42 |
nextMonth = next[24:26] |
|---|
| 43 |
nextMonth = datetime.datetime(int(nextYear),int(nextMonth),1).strftime('%B') |
|---|
| 44 |
next = next + os.extsep + htmlExt |
|---|
| 45 |
|
|---|
| 46 |
nc = pycdf.CDF(ncFile) |
|---|
| 47 |
|
|---|
| 48 |
t = nc.var('time')[:] |
|---|
| 49 |
z = nc.var('z')[:] |
|---|
| 50 |
u = nc.var('u')[:] |
|---|
| 51 |
v = nc.var('v')[:] |
|---|
| 52 |
w = nc.var('w')[:] |
|---|
| 53 |
|
|---|
| 54 |
mu = np.ma.masked_invalid(u) |
|---|
| 55 |
mv = np.ma.masked_invalid(v) |
|---|
| 56 |
mw = np.ma.masked_invalid(w) |
|---|
| 57 |
|
|---|
| 58 |
mumean = mu.mean(axis=0) |
|---|
| 59 |
mvmean = mv.mean(axis=0) |
|---|
| 60 |
mwmean = mw.mean(axis=0) |
|---|
| 61 |
|
|---|
| 62 |
ucount = mu.count(axis=0) |
|---|
| 63 |
vcount = mv.count(axis=0) |
|---|
| 64 |
wcount = mw.count(axis=0) |
|---|
| 65 |
|
|---|
| 66 |
mrho = np.sqrt((mu**2) + (mv**2)) |
|---|
| 67 |
rho = mrho.T.data |
|---|
| 68 |
mtheta = (180 * np.arctan2(mv, mu)/np.pi) |
|---|
| 69 |
theta = np.piecewise(mtheta, |
|---|
| 70 |
(mtheta <= 90, mtheta > 90), |
|---|
| 71 |
(lambda x: 90 - x, lambda x: 450 - x)) |
|---|
| 72 |
theta = theta.T |
|---|
| 73 |
|
|---|
| 74 |
firstElevation = True |
|---|
| 75 |
for x in range(0,rho.shape[0]): |
|---|
| 76 |
if rho[x].any(): |
|---|
| 77 |
fig = plt.figure(figsize=(8, 8), dpi=80, facecolor='w', edgecolor='w') |
|---|
| 78 |
spt = fig.suptitle('Billy Mitchell Sodar :: ' + month + " " + year) |
|---|
| 79 |
rect = [0.16, 0.16, 0.68, 0.68] |
|---|
| 80 |
ax = WindroseAxes(fig, rect, axisbg='w') |
|---|
| 81 |
ax.set_title('Wind Distribution at %d Meters Above Sea Level\nPercentage of Wind Magnitude Towards Direction\n\n' % z[x],fontsize=spt.get_fontsize()*0.8) |
|---|
| 82 |
fig.add_axes(ax) |
|---|
| 83 |
ax.bar(theta[x], rho[x], normed=True, opening=0.8, edgecolor='white') |
|---|
| 84 |
l = ax.legend(axespad=-0.20) |
|---|
| 85 |
plt.setp(l.get_texts(), fontsize=8) |
|---|
| 86 |
if not os.path.exists(os.path.join(pngDir,ncFileName)): |
|---|
| 87 |
os.mkdir(os.path.join(pngDir,ncFileName)) |
|---|
| 88 |
outFile = os.path.join(pngDir,ncFileName,('%dm' % z[x]) + os.extsep + pngExt) |
|---|
| 89 |
print 'Saving', outFile |
|---|
| 90 |
fig.savefig(outFile) |
|---|
| 91 |
|
|---|
