def main(configFile):
from Utilities.loadData import loadTrackFile
from Utilities.config import ConfigParser
from os.path import join as pjoin, normpath, dirname
baseDir = normpath(pjoin(dirname(__file__), '..'))
inputPath = pjoin(baseDir, 'input')
config = ConfigParser()
config.read(configFile)
inputFile = config.get('DataProcess', 'InputFile')
source = config.get('DataProcess', 'Source')
gridLimit = config.geteval('Region', 'gridLimit')
xx = np.arange(gridLimit['xMin'], gridLimit['xMax'] + .1, 0.1)
yy = np.arange(gridLimit['yMin'], gridLimit['yMax'] + .1, 0.1)
xgrid, ygrid = np.meshgrid(xx, yy)
if len(dirname(inputFile)) == 0:
inputFile = pjoin(inputPath, inputFile)
try:
tracks = loadTrackFile(configFile, inputFile, source)
except (TypeError, IOError, ValueError):
log.critical("Cannot load historical track file: {0}".format(inputFile))
raise
title = source
outputPath = config.get('Output', 'Path')
outputPath = pjoin(outputPath, 'plots','stats')
outputFile = pjoin(outputPath, 'tctracks.png')
map_kwargs = dict(llcrnrlon=xgrid.min(),
llcrnrlat=ygrid.min(),
urcrnrlon=xgrid.max(),
urcrnrlat=ygrid.max(),
projection='merc',
resolution='i')
figure = TrackMapFigure()
figure.add(tracks, xgrid, ygrid, title, map_kwargs)
figure.plot()
saveFigure(figure, outputFile)
def saveTrackMap(tracks, xgrid, ygrid, title, map_kwargs, filename):
fig = SingleTrackMap()
fig.plot(tracks, xgrid, ygrid, title, map_kwargs)
saveFigure(fig, filename)
