本文整理汇总了Python中Scientific.IO.NetCDF.NetCDFFile.variables[name][:]方法的典型用法代码示例。如果您正苦于以下问题：Python NetCDFFile.variables[name][:]方法的具体用法？Python NetCDFFile.variables[name][:]怎么用？Python NetCDFFile.variables[name][:]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Scientific.IO.NetCDF.NetCDFFile的用法示例。
在下文中一共展示了NetCDFFile.variables[name][:]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: filter_netcdf
# 需要导入模块: from Scientific.IO.NetCDF import NetCDFFile [as 别名]
# 或者: from Scientific.IO.NetCDF.NetCDFFile import variables[name][:] [as 别名]
def filter_netcdf(filename1, filename2, first=0, last=None, step=1):
"""Filter data file, selecting timesteps first:step:last.
Read netcdf filename1, pick timesteps first:step:last and save to
nettcdf file filename2
"""
from Scientific.IO.NetCDF import NetCDFFile
# Get NetCDF
infile = NetCDFFile(filename1, netcdf_mode_r) #Open existing file for read
outfile = NetCDFFile(filename2, netcdf_mode_w) #Open new file
# Copy dimensions
for d in infile.dimensions:
outfile.createDimension(d, infile.dimensions[d])
# Copy variable definitions
for name in infile.variables:
var = infile.variables[name]
outfile.createVariable(name, var.dtype.char, var.dimensions)
# Copy the static variables
for name in infile.variables:
if name == 'time' or name == 'stage':
pass
else:
outfile.variables[name][:] = infile.variables[name][:]
# Copy selected timesteps
time = infile.variables['time']
stage = infile.variables['stage']
newtime = outfile.variables['time']
newstage = outfile.variables['stage']
if last is None:
last = len(time)
selection = range(first, last, step)
for i, j in enumerate(selection):
log.critical('Copying timestep %d of %d (%f)'
% (j, last-first, time[j]))
newtime[i] = time[j]
newstage[i,:] = stage[j,:]
# Close
infile.close()
outfile.close()