本文整理汇总了Python中anuga.file.netcdf.NetCDFFile.smoothing方法的典型用法代码示例。如果您正苦于以下问题：Python NetCDFFile.smoothing方法的具体用法？Python NetCDFFile.smoothing怎么用？Python NetCDFFile.smoothing使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类anuga.file.netcdf.NetCDFFile的用法示例。
在下文中一共展示了NetCDFFile.smoothing方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: esri2sww
# 需要导入模块: from anuga.file.netcdf import NetCDFFile [as 别名]
# 或者: from anuga.file.netcdf.NetCDFFile import smoothing [as 别名]
#.........这里部分代码省略.........
longitudes = longitudes[lmin:lmax]
number_of_latitudes = len(latitudes)
number_of_longitudes = len(longitudes)
number_of_times = len(os.listdir(elevation_dir))
number_of_points = number_of_latitudes * number_of_longitudes
number_of_volumes = (number_of_latitudes - 1) * (number_of_longitudes - 1) * 2
# Work out the times
if len(elevation_files) > 1:
# Assume: The time period is less than 24hrs.
time_period = (int(elevation_files[1][-3:]) - int(elevation_files[0][-3:])) * 60 * 60
times = [x * time_period for x in range(len(elevation_files))]
else:
times = [0.0]
if verbose:
log.critical("------------------------------------------------")
log.critical("Statistics:")
log.critical(" Extent (lat/lon):")
log.critical(" lat in [%f, %f], len(lat) == %d" % (min(latitudes), max(latitudes), len(latitudes)))
log.critical(" lon in [%f, %f], len(lon) == %d" % (min(longitudes), max(longitudes), len(longitudes)))
log.critical(" t in [%f, %f], len(t) == %d" % (min(times), max(times), len(times)))
######### WRITE THE SWW FILE #############
# NetCDF file definition
outfile = NetCDFFile(sww_file, netcdf_mode_w)
# Create new file
outfile.institution = "Geoscience Australia"
outfile.description = "Converted from XXX"
# For sww compatibility
outfile.smoothing = "Yes"
outfile.order = 1
# Start time in seconds since the epoch (midnight 1/1/1970)
outfile.starttime = starttime = times[0]
# dimension definitions
outfile.createDimension("number_of_volumes", number_of_volumes)
outfile.createDimension("number_of_vertices", 3)
outfile.createDimension("number_of_points", number_of_points)
outfile.createDimension("number_of_timesteps", number_of_times)
# variable definitions
outfile.createVariable("x", precision, ("number_of_points",))
outfile.createVariable("y", precision, ("number_of_points",))
outfile.createVariable("elevation", precision, ("number_of_points",))
# FIXME: Backwards compatibility
# outfile.createVariable('z', precision, ('number_of_points',))
#################################
outfile.createVariable("volumes", netcdf_int, ("number_of_volumes", "number_of_vertices"))
outfile.createVariable("time", precision, ("number_of_timesteps",))
outfile.createVariable("stage", precision, ("number_of_timesteps", "number_of_points"))
outfile.createVariable("xmomentum", precision, ("number_of_timesteps", "number_of_points"))
outfile.createVariable("ymomentum", precision, ("number_of_timesteps", "number_of_points"))
# Store
from anuga.coordinate_transforms.redfearn import redfearn